METHODS FOR TREATING BREAST AND OTHER CANCERS BY TARGETING ARGININOSUCCINATE SYNTHETASE 1-DEFICIENCY
Autophagy is the principal catabolic response to nutrient starvation. However, excessive autophagy can be cytotoxic or cytostatic, and contribute to cell death, but its mechanism of induction remains elusive. Here, it was demonstrated that prolonged arginine starvation by ADI-PEG20 induced an autophagy-dependent death of argininosuccinate synthetase 1 (ASS1)-deficient breast cancer cells. Consequently, arginine depleting agents such as ADI-PEG20 may be used in methods for killing one or more argininosuccinate synthetase 1 (ASS1)-deficient breast cancer cells. Further, abundance of ASS1 was either low or absent in more than 60% of 149 random breast cancer biosam pies, which could be exploited as candidates for arginine starvation therapy.
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This application is a continuation of U.S. patent application Ser. No. 15/089,227, filed Apr. 1, 2016, which is a continuation of International Application No. PCT/US14/59196, filed Oct. 3, 2014, which claims priority to U.S. Provisional Patent Application No. 61/887,304, filed Oct. 4, 2013, the subject matter of which is hereby incorporated by reference as if fully set forth herein.
STATEMENT OF GOVERNMENT INTERESTThis invention was made with government support under Grant Numbers R01DE10742 and R01DE14183, awarded by the National Institutes of Health. The Government has certain rights in the invention.
SEQUENCE LISTINGThis application contains a Sequence Listing, which was submitted in ASCII format via EFS-Web, and is hereby incorporated by reference in its entirety. The ASCII copy, created on Jan. 19, 2022, is named SequenceListing.txt and is 5 KB in size.
BACKGROUNDBreast cancer is one of the most common cancers that kill women (Jemal et al. 2011). Gene expression analyses of breast cancer have identified five intrinsic molecular “subtypes” (normal-like, luminal A, luminal B, basal and HER2 positive), each of which has unique clinical and histological phenotypes (Perous et al. 2000; Sorlie, et al. 2001). Currently, breast cancers are subtyped so that different treatments can be tailored for maximizing therapeutic benefit. However, it is still estimated that 39,620 women and 410 men will die of breast cancer in the United States in 2013 (; Society 2013). Therefore, it is necessary to identify new therapeutic targets, especially for treatment-refractory tumors.
Altered cellular metabolism has emerged as a common phenotype of cancers and other complex diseases (DeBerardinis & Thompson 2012). Cancer cells adapt their metabolic pathways to meet the high-energy demands required for their accelerated growth and proliferation and the associated metabolic stresses. Metabolomic studies have revealed that the steady-state abundance of many amino acids in stomach, colon, lung and prostate cancers are higher than in the corresponding normal tissue, suggesting the tumors have increased biosynthetic needs for amino acids (Hirayama et al. 2009; Kami et al. 2013). For example, some tumor cells are addicted to glutamine because it supports anabolic processes and fuels proliferation (Wise & Thompson 2010; Vander Heiden et al. 2009). The serine and glycine biosynthetic pathways have also been suggested to play critical roles in oncogenesis (Locasale et al. 2011; Possemato et al. 2011). However, little is known about the metabolic requirements for cell growth and proliferation of breast cancer (BC). Thus, it would be desirable to determine and exploit distinct metabolic requirements of BCs in hopes of identifying impaired metabolic pathways that can be targeted for BC treatment.
SUMMARYIn one embodiment, methods for killing one or more argininosuccinate synthetase 1 (ASS1)-deficient cancer cells (e.g., one or more breast cancer cells) are provided. Such methods may include a step of contacting the one or more ASS1-deficient cancer cells (e.g., breast cancer cells) with an effective amount of an arginine-depleting agent.
In another embodiment, methods for treating an arginine-auxotrophic cancer (e.g., arginine-auxotrophic breast cancer) in a subject are provided. Such methods may include a step of administering a therapeutically effective amount of a pharmaceutical composition to the subject. In some aspects, the pharmaceutical composition includes an arginine-depleting agent and a carrier.
In another embodiment, methods for optimizing treatment of breast cancer in a subject are provided. In some embodiments, these methods may include steps of detecting an expression level of ASS1 in a breast tumor tissue sample from the subject, identifying the subject as a responsive subject when the expression level of ASS1 is at or below a low level of ASS1 and administering a therapeutically effective amount of a pharmaceutical composition to the responsive subject. In some aspects, the pharmaceutical composition includes an arginine-depleting agent and a carrier.
This application contains at least one drawing executed in color. Copies of this application with color drawing(s) will be provided by the Office upon request and payment of the necessary fees.
Methods for treating an arginine auxotrophic cancer cells, and methods for determining a prognosis or progression of an arginine auxotrophic cancer are provided herein. Among the metabolic adaptations that occur in cancer cells is the increased use of the amino acid arginine to fuel anabolic processes. Arginine is a non-essential amino acid in humans, but it plays an important role in multiple metabolic pathways, including protein synthesis, and the production of nitric oxide, polyamines, urea, creatine, nucleotides, proline, glutamate, and agmatine (Wu & Morris 1998; Morris 2006). Arginine levels in cells are partly maintained by de novo synthesis from citrulline, which is converted to arginine by argininosuccinate synthetase 1 (ASS1) and argininosuccinate lyase (ASL). Accumulating evidence suggests that the endogenous production of arginine is not sufficient to meet the needs of rapidly proliferating tumor cells (Huller & Boos 1998; Husson et al. 2003; Wheatley & Campbell 2003; Ensor et al. 2002; Huang et al. 2012; Feun et al. 2008; Lind 2004). Thus, arginine may be considered a semi-essential amino acid under stress conditions, and “arginine auxotrophs” are cells that have lost the ability to synthesize arginine and are dependent on external arginine sources. Paradoxically, although there is an increased demand for arginine by tumor cells, many human tumor cells, including melanoma, lymphoma, glioma and prostate cancer, lose ASS1 abundance and become arginine auxotrophs (http://www.proteinatlas.org/ENSG00000130707). The biological mechanisms underlying this paradox are not completely understood and it may be that arginine auxotrophs have a previously overlooked metabolic liability that could be exploited to treat many cancers, including breast cancers. Thus, the analyses described herein not only improve understanding of the biology of ASS1 deficiencies in cancer development and recurrence, but may also lead to the development of therapies that target arginine-auxotrophic breast cancers.
In some embodiments, a method for killing argininosuccinate synthetase 1 (ASS1)-deficient cancer cells is provided. Such a method may be used to kill any cancer cells that are determined to be ASS1-deficient. In some embodiments, the methods are used to kill ASS1-deficient breast cancer cells. A “cancer cell,” including specific cancer cells such as breast cancer cells, prostate cancer cells, melanoma cancer cells, or any other cancer cells specific to a particular tissue, may include any type of tumor cells, circulating tumor cells or a population of tumor cells that form a primary or metastatic solid tumor. Further, a tissue-specific cancer cell, such as a breast cancer cell may refer to any cell originating from a primary breast cancer, including any circulating or metastatic cells originating or derived from a primary breast cancer. For example, a breast cancer tumor may metastasize to the lungs or the brain, the cells of which may be referred to as breast cancer cells.
In some embodiments, a method for killing ASS1-deficinent cancer cells may include, among other things, a step of contacting one or more ASS1-deficient breast cancer cells with an effective amount of an arginine-depleting agent. Arginine-depleting agents that may be used in accordance with the embodiments described herein may include any suitable isolated or recombinant molecule (e.g., enzyme, protein, antibody, peptide, ligand) or modified isolated or recombinant molecule (e.g., pegylation, molecule fragments) that acts to deplete arginine levels locally or systemically. The molecule may accomplish arginine depletion by any mechanism, including an enzymatic inhibition of arginine synthesis, stimulation of arginine breakdown, or by binding one or more target proteins responsible for arginine metabolism. In certain embodiments, the arginine depleting agent may be arginase I, arginase II, a recombinant arginase I or II, a pegylated arginase I or II, arginine deiminase (ADI), a recombinant ADI (rADI), a pegylated ADI, or a recombinant pegylated ADI. In one embodiment, the arginine depleting agent is a recombinant pegylated ADI known as ADI-PEG20.
Arginine deiminase (ADI) is a microbial enzyme originally isolated from mycoplasma that metabolizes arginine to citrulline and is 300-fold more effective than arginase at depleting arginine from the environment (Takaku et al. 1992; Beloussow et al. 2002; Kim et al. 2009a). Recombinant ADI has been used as a therapy to deprive arginine-auxotrophic tumors of external arginine, thereby inhibiting their growth. Sensitive tumors are usually ASS1-deficient, and therefore incapable of synthesizing endogenous arginine (Ensor et al. 2002; Szlosarek et al. 2006; Yoon et al. 2007; Cheng et al. 2007; Bowles et al. 2008; Kim et al. 2009b). Conversely, overexpressing ASS1 in ASS1-deficient melanoma cells confers resistance to ADI (Ensor et al. 2002; Tsai et al. 2009). Recombinant ADI-based therapies have been used in several clinical trials to treat advanced arginine-auxotrophic melanoma and hepatocellular carcinoma, and have had acceptable response rates and minimal side effects (Ascierto et al. 2005; Izzo et al. 2004; Glazer et al. 2010; Yang et al. 2010). However, besides arginine depletion, the mechanism by which ADI mediates its effect is unknown. Recombinant pegylated ADI (ADI-PEG20) is a form of ADI with increased safety and efficacy profiles. As described in the Examples below, a nutrient starvation approach, including arginine depletion (e.g., arginine depletion using ADI or ADI-PEG20), will induce autophagy in many cancer cells (Levine & Kroemer 2008; Mizushima & Komatsu 2011); though, the biological significance and consequence of autophagy induction in this context is not yet understood.
Autophagy can induce either survival or death in the same cell type in response to different stress conditions. For example, H2O2 induces autophagy for survival, whereas etoposide induces caspase-independent, autophagic cell death in Bax−/− Bak−/− MEFs (Narendra et al. 2008). Autophagy can also promote the survival of established tumors under stress conditions and in response to chemotherapy (reviewed in (Narendra et al. 2010) and references therein). However, some conflicting evidence suggests that autophagy and/or mitophagy can promote cell death (Ding et al. 2012; Vincow et al. 2013; Rardin et al. 2013; Ahn et al. 2008; Huang et al. 2013; Kobayashi et al. 2010; Warburg 1956). The Examples below demonstrate that, in response to arginine depletion by ADI-PEG20, cellular autophagy is induced. This is evidenced by the detection of the autophagic marker LC3-II, autophagosomes and autophagic flux in ADI-PEG20-treated cells. However, in several types of cancer cells other than BC, autophagy has been shown to be an early protective response against ADI-PEG20-induced arginine deprivation in several types of cancer cells other than BC.
In addition, autophagy and apoptosis may corroborate to kill cells in certain therapeutic contexts (Narendra et al. 2010; Trachootham et al. 2009). Mitophagy may selectively remove damaged mitochondria that cannot be repaired by fusion, or when fusion would harm other mitochondria (Farmer et al. 2005. The balance between autophagy and the extent of the mitochondrial damage may decide the fate of the ADI-PEG20-treated cells. If damaged mitochondria are limited to a fraction of mitochondria within the capacity of mitophagic removal, autophagy may play a pro-survival role. In contrast, if the number of damaged mitochondria is overwhelming, excessive mitophagy may be lethal or a death stimulus. Conceivably, if autophagy plays a protective role in ADI-PEG20-treated BC cells, inhibiting autophagy by knocking down components of autophagy machinery could increase the sensitivity of the cells to ADI-PEG20. However, the results described in the Examples below demonstrated that the knockdown of ATG5 or BECLIN 1 increased the resistance of MDA-MB-231 cells to ADI-PEG20 in vitro and in vivo, without affecting apoptosis. Therefore, it was determined that depletion of arginine by ADI-PEG20 induced excessive, lethal autophagy in these BC cells.
The arginine-depleting agent causes a reduction arginine levels in the environment surrounding and adjacent to the ASS1-deficient breast cancer cells, thereby killing the cells by starving the cells of arginine. As described further in the Example below, molecular determinants of sensitivity and resistance to arginine starvation therapy were identified. These determinants may be used to guide patient selection or the choice of agents to be given in combination. It was found that arginine starvation killed ASS1-deficient breast cancer cells by impairing mitochondrial energy production and increasing reactive oxygen species (ROS), which compromised mitochondrial integrity. The presence of damaged mitochondria triggered mitophagy and resulted in cell death. Further, ASS1-deficient breast cancer cell lines and mouse xenografts were susceptible to ADI-PEG20 only if they were autophagy competent. In addition, more than 60% of a random sample of 149 breast cancers had low abundance of ASS1 or no detectable ASS1, irrespective of the breast cancer molecular subtype. Thus, the mechanisms underlying the sensitivity of arginine auxotrophic breast cancer cells to arginine starvation were defined, and then the role of autophagy in this process was analyzed.
According to some embodiments, the one or more cancer cells (e.g., breast cancer cells) targeted by the arginine-depleting agent are part of solid tumor. As described in the Examples below, contact or treatment of a solid tumor using an arginine depleting agent (e.g., ADI-PEG20) causes the tumor to regress or shrink.
In another embodiment, a method of treating an arginine-auxotrophic cancer in a subject is provided. In certain embodiments, the method is for treating an arginine-auxotrophic breast cancer in a subject. A subject may be diagnosed as having an arginine-auxotrophic cancer—such as an arginine-auxotrophic breast cancer—by analyzing the level of expression of ASS1 in a tumor tissue sample from the subject (e.g., tissue from a biopsy or surgically resected sample). Any suitable method for detecting or determining the level of ASS1 expression may be used, including quantitative or qualitative methods known in the art such as immunostaining (e.g., immunohistochemistry, immunocytochemistry), hybridization methods, fluorescent staining, PCR, real time PCR, or RT-PCR. A tumor tissue may be determined to have a high ASS1 expression level where the sample is determined to have strong diffuse staining, or contains a significant number of transcripts. A tumor tissue sample is determined to have a low ASS1 expression level where the sample is determined to have weak cytoplasmic staining or no staining; or contains a relatively small number or a negligible number of transcripts. When a tumor tissue sample is determined to have a low ASS1 level, i.e., the tumor is determined to be ASS1-deficient, the tumor may be considered an arginine-auxotrophic tumor or an arginine-auxotrophic cancer.
In some embodiments, methods of treating arginine-auxotrophic cancer may include administering a therapeutically effective amount of an arginine depleting agent to a subject having the arginine auxotrophic cancer. As described above, arginine-depleting agents that may be used in accordance with the embodiments described herein may include any suitable isolated or recombinant molecule (e.g., enzyme, protein, antibody, peptide, ligand) or modified isolated or recombinant molecule (e.g., pegylation, molecule fragments) that acts to deplete arginine levels locally or systemically. The molecule may accomplish arginine depletion by any mechanism, including an enzymatic inhibition of arginine synthesis, stimulation of arginine breakdown, or by binding one or more target proteins responsible for arginine metabolism. In certain embodiments, the arginine depleting agent may be arginase I, arginase II, a recombinant arginase I or II, a pegylated arginase I or II, arginine deiminase (ADI), a recombinant ADI (rADI), a pegylated ADI, or a recombinant pegylated ADI. In one embodiment, the arginine depleting agent is a recombinant pegylated ADI known as ADI-PEG20.
The arginine depleting agent that may be used in accordance with the methods described herein may be administered by any suitable route of administration, alone or as part of a pharmaceutical composition. A route of administration may refer to any administration pathway known in the art, including but not limited to aerosol, enteral, nasal, ophthalmic, oral, parenteral, rectal, transdermal (e.g., topical cream or ointment, patch), or vaginal. “Transdermal” administration may be accomplished using a topical cream or ointment or by means of a transdermal patch. “Parenteral” refers to a route of administration that is generally associated with injection, including infraorbital, infusion, intraarterial, intracapsular, intracardiac, intradermal, intramuscular, intraperitoneal, intrapulmonary, intraspinal, intrasternal, intrathecal, intrauterine, intravenous, subarachnoid, subcapsular, subcutaneous, transmucosal, or transtracheal.
The term “effective amount” as used herein refers to an amount of an arginine depleting agent that produces a desired effect. For example, a population of cells may be contacted with an effective amount of an arginine depleting agent to study its effect in vitro (e.g., cell culture) or to produce a desired therapeutic effect ex vivo or in vitro. An effective amount of an arginine depleting agent may be used to produce a therapeutic effect in a subject, such as preventing or treating a target condition, alleviating symptoms associated with the condition, or producing a desired physiological effect. In such a case, the effective amount of an arginine depleting agent is a “therapeutically effective amount,” “therapeutically effective concentration” or “therapeutically effective dose.” The precise effective amount or therapeutically effective amount is an amount of the arginine depleting agent that will yield the most effective results in terms of efficacy of treatment in a given subject or population of cells. This amount will vary depending upon a variety of factors, including but not limited to the characteristics of the arginine depleting agent (including activity, pharmacokinetics, pharmacodynamics, and bioavailability), the physiological condition of the subject (including age, sex, disease type and stage, general physical condition, responsiveness to a given dosage, and type of medication) or cells, the nature of the pharmaceutically acceptable carrier or carriers in the formulation, and the route of administration. Further an effective or therapeutically effective amount may vary depending on whether the arginine depleting agent is administered alone or in combination with a compound, drug, therapy or other therapeutic method or modality. One skilled in the clinical and pharmacological arts will be able to determine an effective amount or therapeutically effective amount through routine experimentation, namely by monitoring a cell's or subject's response to administration of an arginine depleting agent and adjusting the dosage accordingly. For additional guidance, see Remington: The Science and Practice of Pharmacy, 21st Edition, Univ. of Sciences in Philadelphia (USIP), Lippincott Williams & Wilkins, Philadelphia, Pa., 2005, which is hereby incorporated by reference as if fully set forth herein.
“Treating” or “treatment” of a condition may refer to preventing the condition, slowing the onset or rate of development of the condition, reducing the risk of developing the condition, preventing or delaying the development of symptoms associated with the condition, reducing or ending symptoms associated with the condition, generating a complete or partial regression of the condition, or some combination thereof. Treatment may also mean a prophylactic or preventative treatment of a condition.
In other embodiments, a method for optimizing treatment of an arginine-auxotrophic cancer is provided. In certain embodiments, the method is for optimizing treatment of an arginine-auxotrophic breast cancer in a subject. In some aspects, such a method may include a step of detecting an expression level of ASS1 in a breast tumor tissue sample from a subject. This expression level may be used to determine a subject's responsiveness to an arginine depleting agent like those described herein.
Detecting the expression level of ASS1 may be accomplished by analyzing the level of expression of ASS1 in a tumor tissue sample from the subject (e.g., tissue from a biopsy or surgically resected sample). Any suitable method for detecting or determining the level of ASS1 expression may be used, including quantitative or qualitative methods known in the art such as immunostaining (e.g., immunohistochemistry, immunocytochemistry), hybridization methods, fluorescent staining, PCR, real time PCR, or RT-PCR. A tumor tissue may be determined to have a high ASS1 expression level where the sample is determined to have strong diffuse staining, or contains a significant number of transcripts. A tumor tissue sample is determined to have a low ASS1 expression level where the sample is determined to have weak cytoplasmic staining or no staining; or contains a relatively small number or a negligible number of transcripts. According to one embodiment of the methods for optimizing treatment of an arginine-auxotrophic cancer described above, a subject may be identified as a responsive subject when the expression level of ASS1 is a low ASS1 expression level.
According to some embodiments of the method for optimizing treatment of an arginine-auxotrophic cancer, a therapeutically effective amount of an arginine-depleting agent, alone or as part of a pharmaceutical composition may be administered to a responsive subject. As described above, arginine-depleting agents that may be used in accordance with the embodiments described herein may include any suitable isolated or recombinant molecule (e.g., enzyme, protein, antibody, peptide, ligand) or modified isolated or recombinant molecule (e.g., pegylation, molecule fragments) that acts to deplete arginine levels locally or systemically. The molecule may accomplish arginine depletion by any mechanism, including an enzymatic inhibition of arginine synthesis, stimulation of arginine breakdown, or by binding one or more target proteins responsible for arginine metabolism. In certain embodiments, the arginine depleting agent may be arginase I, arginase II, a recombinant arginase I or II, a pegylated arginase I or II, arginine deiminase (ADI), a recombinant ADI (rADI), a pegylated ADI, or a recombinant pegylated ADI. In one embodiment, the arginine depleting agent is a recombinant pegylated ADI known as ADI-PEG20.
In some embodiments, an arginine depleting agent as described above may be administered in combination with one or more additional anti-cancer therapeutics (or “therapeutic agents”). “In combination” or “in combination with,” as used herein, means in the course of treating the same disease in the same subject using two or more agents, drugs, treatment regimens, treatment modalities or a combination thereof, in any order. This includes simultaneous administration, as well as in a temporally spaced order of up to several days apart. Such combination treatment may also include more than a single administration of any one or more of the agents, drugs, treatment regimens or treatment modalities. Further, the administration of the two or more agents, drugs, treatment regimens, treatment modalities or a combination thereof may be by the same or different routes of administration.
Examples of additional anti-cancer therapeutics that may be administered in combination with an arginine depleting agent include, but are not limited to, chemotherapeutics (e.g., alkylating agents, antimetabolites, anti-tumor antibiotics, topoisomerase inhibitors, including anthracycline topoisomerase inhibitors, mitotic inhibitors); autophagy-modulating agents (e.g., rapamycin and chloroquine); hormones (e.g., corticosteroids); targeted therapeutics (e.g., selective estrogen receptor modulators (SERMs)); toxins; immune adjuvants, immunomodulators, and other immunotherapeutics (e.g., therapeutic antibodies and fragments thereof, recombinant cytokines and immunostimulatory molecules—synthetic or from whole microbes or microbial components); enzymes (e.g., enzymes to cleave prodrugs to a cytotoxic agent at the site of the tumor); nucleases; antisense oligonucleotides; nucleic acid molecules (e.g., mRNA molecules, cDNA molecules or RNAi molecules such as siRNA or shRNA); chelators; boron compounds; radioisotopes, photoactive agents and dyes. Examples of anthracycline topoisomerase inhibitors that may be administered in combination with an arginine depleting agent include, but are not limited to, doxorubicin, epirubicin, daunorubicin, and idarubicin. For example, in one embodiment, the arginine depleting agent may be administered in combination with doxorubicin. In certain embodiments, the arginine depleting agent may be administered in combination with a doxorubicin analog. Examples of the doxorubicin analogs that may be administered in combination with an arginine depleting agent include, but are not limited to, N-(5,5-Diacetoxypent-1-yl)doxorubicin (1b), 4′-epidoxorubicin (epi-Dx), 4′-deoxy-doxorubicin (deoxy-Dx), 4′-O′methyldoxorubicin (O-Me-Dx), and N-(trifluoroacetyl) doxorubicin (FDOX). The therapeutic agent may also include a metal, metal alloy, intermetallic or core-shell nanoparticle bound to a chelator that acts as a radiosensitizer to render the targeted cells more sensitive to radiation therapy as compared to healthy cells.
As described in the Examples below, reduced or low expression of ASS1 is associated with poor survival, independent of a breast cancer molecular subtype. In contrast, it was shown that high levels of ASS1 is associated with a lower risk of breast cancer specific mortality. It was also shown that a low ASS1 expression is associated with advanced tumor stages. ASS1 engages a rate-limiting step in de novo arginine biosynthesis to maintain arginine serum levels. The results described below indicate that ASS1 expression is an independent prognostic indicator of BC survival. Altering ASS1 expression in isogenic BC cell lines, followed by performing clonogenic assays in vitro, confirmed ASS1's role in inhibiting anchorage-independent cell growth. In separate studies, reduced ASS1 expression was found to be an informative prognostic factor for lymphatic dissemination of esophageal cancer (Bryant et al. 2005). In addition, a gene microarray was used to compare the gene profile of osteosarcoma with and without pulmonary metastasis and found reduced ASS1 expression correlated with the occurrence of pulmonary metastasis and poor prognosis (Wang et al. 2011). Consistent with the results described, ASS1 has also been suggested as a novel tumor suppressor gene in myxofibrosarcomas and is highly correlated to disease-free survival and metastasis-free survival through epigenetic DNA methylation control (Wu et al. 2001). Thus ASS1 may have a tumor suppressor function during tumorigenesis of the cancers examined. The studies described in the Examples below indicate that arginine deprivation by ADI-PEG20-treatment damaged mitochondria and impaired mitochondrial bioenergetics. ASS1-deficient tumor cells could experience transient arginine deprivation due to insufficient angiogenesis during tumorigenesis. The ROS are produced during transient arginine deprivation and might cause genome instability, thereby facilitating tumorigenesis. Alternatively, the molecular mechanism underlying this anti-tumorigenic activity could be associated with ASS1's non-enzymatic function.
In some embodiments, ASS1 expression level may therefore be used to predict risk of cancer-specific mortality; advanced tumor progression; or overall or disease-free survival rate in a subject having cancer (e.g., breast cancer). In some embodiments, the subject may have an increased likelihood of overall or disease-free survival based upon a low level of ASS1 as determined by the methods described herein. In other embodiments, it may be determined that a subject is likely to have an advanced stage tumor based upon a low level of ASS1 expression as determined by the methods described herein. In further embodiments, it may be determined that a subject has a lower risk of cancer-specific mortality based upon a high level of ASS1 expression as determined by the methods described herein.
The following examples are intended to illustrate various embodiments of the invention. As such, the specific embodiments discussed are not to be construed as limitations on the scope of the invention. For example, although many of the examples are directed to breast cancer, one skilled in the art would understand that any arginine-auxotrophic cancer may be applicable to the methods described herein. It will be apparent to one skilled in the art that various equivalents, changes, and modifications may be made without departing from the scope of invention, and it is understood that such equivalent embodiments are to be included herein. Further, all references cited in the disclosure are hereby incorporated by reference in their entirety, as if fully set forth herein.
EXAMPLES Example 1 Arginine Starvation Impairs Mitochondrial Respiratory Function in ASS1-Deficient Breast Cancer CellsMaterials and Methods
Patients, follow-up and tissue array. Patients included in this study were those diagnosed with breast cancer and treated by surgical resection. The history of each patient case was analyzed by haematoxylin and eosin (H&E)-stained slides by a breast pathologist using clinicopathological parameters. The clinicopathological parameters that were evaluated included patient age at the time of diagnosis, tumor node metastasis (TNM) stage, date of last follow-up and overall patient survival. Exclusion criteria were breast cancer samples from patients without a pathologic diagnosis, patients with multiple cancers, or patients who had lost contact after surgery. A total of 149 patients with breast cancer met the inclusion criteria. All participants were periodically followed-up and surgery relapse and death data were collected. Overall survival (OS) rate was calculated from the date of surgery to date of death by breast cancer-associated illness. Disease-free survival (DFS) rate was calculated from date of surgery to date of local recurrence or metastasis. If no death or relapse occurred, the OS and DFS rates were calculated from date of surgery to the end of the study. All of the formalin-fixed, paraffin-embedded (FFPE) breast cancer tissue samples that were collected were reassembled into multiple tissue arrays. Analysis indicated that ASS1 immunohistological signals did not correlate with storage time (likelihood, p=0.246), indicating the storage time would not affect the immunohistochemical outcome.
Immunohistochemistry (IHC). ASS1 protein levels in the 149 breast cancer samples were assessed by IHC using an anti-ASS1 antibody (1:75 dilution) as previously described (Wu et al. 2011). The IHC conditions for ASS1 abundance determination were pre-optimized on checkerboards with multiple tissue samples. Briefly, after de-paraffinization, endogenous peroxidase activity was blocked by pre-treatment with 3% H2O2. The slides were incubated with normal goat serum for 20 minutes at room temperature (RT) to block non-specific signal, then incubated with the primary antibody for 20 minutes at RT. The array slides were then incubated with polymer horseradish peroxidase-labeled secondary antibodies for 30 minutes at RT, then 3,3-Diaminobenzidine (DAB)-treated (0.05 g DAB and 100 ml 30% H2O2 in 100 ml PBS) for 5 and 10 minutes, respectively. Each slide was counterstained with DAKO's haematoxylin. For each IHC staining, the negative and positive checkerboards were applied as a quality control. The specificity of anti-ASS1 antibody was validated by Western blotting. ASS1 staining was predominantly cytoplasmic, and ASS1 abundance was assessed using a visual grading system on the basis of the intensity of staining signals observed using a light microscope. Each sample was independently scored by two investigators, including one breast pathologist, using a double-blind design to avoid scoring bias. Discrepancies were re-evaluated by joint review between the two readers. ASS1-high was defined as strong diffusive staining and ASS1-low was defined as weak diffusive staining or no staining (see
Cell lines, media and chemicals. HEK293T/FT, MDA-MB-231, ATG5-, BECLIN 1- or SIRT3-knockdown MDA-MB-231, ASS1, SIRT3 or GFP-LC3 stably-transfected MDA-MB-231, MCF-7, ASS1-knockdown MCF7, ZR-75-1 and MCF-10A cells were cultured in Dulbecco's modified Eagle's medium (DMEM) (Cellgro, 10-013-CV) containing fetal bovine serum (10%; Gibco, 26140), penicillin (100 U/ml) and streptomycin (100 μg/ml) (Gibco, 15240) at 37° C. and 5% CO2 in a humidified incubator. T47D and ASS1-knockdown T47D cells were cultured in RPMI 1640 medium under similar conditions. Recombinant ADI-PEG20 was a gift of Polaris Pharmaceuticals Inc. (San Diego, Calif.). Bafilomycin A1 (B1793), chloroquine diphosphate salt (C6628), rapamycin (R8781), succinic acid (S9512), L-arginine (A8094) and MG132 (M7449) were from Sigma. L-glutamine solution was from Gibco (25030).
Antibodies. Anti-MAP1LC3-I/II antibody (M115-3) was from Medical & Biological Laboratories, anti-SIRT3 antibody (C73E3) was from Cell signaling, anti-Tom20 antibody (sc-17764) and anti-GAPDH antibody (sc-25778) were from Santa Cruz, anti-Cyclophilin D antibody (ab110324) and anti-COX IV antibody (ab110261) were from Abcam and anti-actin antibody (MAB1501R) was from Millipore. Anti-human ASS1 antibody and the lenti-sh-ASS1 construct were a gift.(68).
Virus production and transduction. Target gene DNA in a lentiviral backbone (pLKO.puro or pSin) (21 μg), pΔ8.7 (14 μg) and pVSV-G (7 μg) were transfected using Lipofectamine™ 2000 (Life Technologies, 11668-019), into HEK293T/FT cells that had been seeded in a T-175 flask and had reached 60% confluence on the day of transfection. On the second day after transfection, cells were treated with sodium butyrate (10 mM) to stimulate virus production. Media containing viruses were harvested on the fifth day and filtered through a 0.45 μm filter. For viral transduction, cells were treated with media containing viruses overnight in the presence of polybrene (8.3 μg/ml) and this was followed by selecting the cells using puromycin (1 μg/ml) or G418 (200 μg/ml), or analyzing them by fluorescence-activated cell sorting (FACS).
RNA extraction, qRT-PCR and cDNA microarray analyses. Total RNA was isolated from cells using RNeasy® mini Kit (QIAGEN, 74104) following the manufacturer's instructions. The RNA concentration and purity were determined by spectrophotometry (Nanodrop Technologies Inc., LLC, Wilmington, Del.). One μg of total RNA was used as the template for synthesizing cDNA using the iScript™ cDNA Synthesis Kit (Bio-Rad, 170-8893). Real-time Q-PCR was performed using the Single Color Real-Time PCR Detection System (Bio-Rad). Equal amounts of mRNA from respective MDA-MB-231 cells subjected to a combination of ADI-PEG20 (0.3 μg/ml) and arginine (420 μg/ml) were analyzed. The relative abundance of ASS1 mRNA in each sample was compared to that of untreated MDA-MB-231 cells, which is designated as 1. For cDNA microarray analyses, the Illumina TotalPrep RNA Amplification Kit (Ambion) was used to transcribe 500 ng RNA by following the manufacture's protocol. HumanHT-12 Expression BeadChips (IIlumina) used the Direct Hybridization Assay and were scanned on the BeadArray Reader to quantify signal and background intensity for each feature. The selected array data were validated by Real-time PCR. All primer pair sequences are listed below:
Cytotoxicity and Apoptosis Assays. Four methods were used to measure cytotoxicity: 1) DIMSCAN assay, 2,500 to 5,000 cells were seeded onto 96-well plates. At the end of the indicated time periods for which they were treated with ADI-PEG20, cells were incubated with fluorescein diacetate (FDA; 40 μg/ml), which is selectively accumulated in viable cells. A semiautomatic, fluorescence-based, digital image microscopy system was used to measure the viability, 2) real-time cell growth was monitored by using a 16× E-plates RTCA DP Analyzer (ACEA, Bioscience, San Diego, Calif.), 3) acid phosphatase (ACP) assays were used to avoid the effect of mitochondria dysfunction. Between 2,500 and 5,000 cells were seeded onto 96-well plates. At the end of the indicated time periods for which they were treated with ADI-PEG20, cells were washed twice with PBS then incubated at 37° C. for 30 minutes with 100 μL of pNPP solution (pNPP (5 mM) in a buffer containing sodium acetate (0.1 M) and Triton X-100 (0.1% (v/v), pH 5.5). The reaction was terminated by adding NaOH (1 N, 10 μl), and the absorbance was measured at 410 nm using a microplate reader, and 4) trypan blue exclusion was used to count viable cells under a light microscope. Relative cell viability of ADI-PEG20-treated cells was calculated relative to the respective viability of the corresponding matched, vehicle-treated cells, which is designated as 1. Data were collected from three independent experiments and are shown as the mean±SD. The interaction between drug combinations was analyzed using the Calcusyn software program (Biosoft, Cambridge, UK) to determine if the combination was antagonistic, additive or synergistic. This program is based on the Chou-Talalay method to calculate a combination index (CI), and CI values below 0.9 indicate synergistic effect. The Cls were determined from cell viability DIMSCAN or ACP assays as the fraction of cells killed by individual drugs, or combination of drugs, by comparing to vehicle-treated cells. For the apoptosis assay, cells were treated with ADI-PEG20 (0.3 μg/ml) or subjected to arginine starvation for the indicated time periods. After trypsinization, cells were washed twice with cold PBS and collected by centrifugation at 1000 rpm. Cells were then resuspended in 1× Binding Buffer at a concentration of 1×106 cells/ml and 100 μl of the suspension (1×105 cells) was transferred to a polystyrene round-bottom tube. Cells were then stained with FITC-conjugated annexin V (4 μl) and propidium iodide (PI) (50 μg/ml, 5 μl). The mixture was gently vortexed and incubated for 15 minutes at RT and 1× Binding Buffer (400 μl) was added to each tube before analyzing by flow cytometry.
Soft agar colony assays. Between 0.5 and 3×104 cells were mixed in 0.35% agarose/complete media and plated on a 0.7% agarose/complete media bottom layer in each well of a 6-well plate. The culture media contained vehicle or different concentrations of ADI-PEG20 and was changed every 2 to 3 days during the 4-week to 6-week cell growth period. Colonies were stained with methylthiazolyldiphenyl-tetrazolium bromide (MTT; 0.2 mg/ml; Sigma M5655) and were counted using colony counting software (VersaDoc Imaging System from Bio-Rad) or counted manually. Each experiment was performed at least twice in triplicate wells.
Whole cell extracts and Immunoblotting. Cells treated with ADI-PEG20 were harvested at the end of incubation period and lysed on ice for 30 minutes in RIPA buffer (Cell Signaling, #9806) containing complete protease inhibitor cocktail (Roche, 11836145001) and PhosSTOP (Roche, 04906837001). The protein concentrations of whole cell extracts were determined using a Bio-Rad Protein Assay Kit (Bio-Rad, 500-0001). Approximately 20-40 μg of protein was mixed with an equal volume of 2× SDS loading buffer, boiled for 5 minutes, then separated by Tris-glycine SDS-PAGE and transferred to PVDF membranes. The membranes were blocked with 5% nonfat milk in PBST (PBS containing 0.05% Tween 20) and incubated with primary antibodies at 4° C. overnight. The membranes were then washed with three times with PBST for 10 minutes, 3 times, and incubated with HRP (horseradish peroxidase)-labeled secondary antibodies for 2 hours at RT. Immunoblots were visualized using VersaDoc 5000 imaging system (Bio-Rad). The intensity was determined using Quantity One (Bio-Rad) and compared to 0 hour treatment after normalizing with actin. Three independent experiments were performed and a representative image is shown.
ATP assay. The ENLITEN® ATP Assay System (Promega, FF2000) was used according to manufacturer's instructions. At the indicated time points, cells were harvested by scraping and resuspending in PBS (500 μl). The cell suspension was divided into unequal aliquots and 400 μl of cell suspension was mixed with 5% trichloroacetic acid (TCA, 100 μl). The remaining cells (100 μl) were used for cell number calculation. Tris-acetate buffer (900 μl, pH 7.75) was then added to neutralize the TCA and to dilute the TCA to a final concentration of 0.1%. The extracts were further diluted 100-fold with dilution buffer (0.1% TCA, 0.08× PBS and 0.9× Tris-Acetate). Diluted sample (40 μl) was added to an equal volume of rL/L Reagent (Promega, FF2000) that contained D-luciferin and recombinant luciferase, then luminescence was measured using a TD-30e luminometer (Turner). The ATP standard (Promega, FF2000) was serially diluted to generate a regression curve for calculating ATP levels in individual samples. The relative ATP level per cell was determined and normalized to that of vehicle-treated cells, which is designated as 1. Three independent experiments were performed and results are presented as the mean±SD.
Oxygen consumption rate (OCR). Cellular mitochondrial function was measured using the Seahorse Bioscience XF24 Extracellular Flux Analyzer. The mitochondrial function was assayed by sequential injections of oligomycin, FCCP (Carbonyl cyanide p-trifluoromethoxy phenylhydrazone) and rotenone to define basal OCR, ATP-linked OCR, proton leak, maximal respiratory capacity, reserve respiratory capacity and non-mitochondrial oxygen consumption, all according to manufacturer's instructions. Oligomycin A inhibits ATP synthase by blocking proton channel and significantly reduce electron flow through the electron transport chain, which is necessary for oxidative phosphorylation of ADP to ATP. FCCP is a protonophore (H+ionophore) and uncoupler of oxidative phosphorylation in mitochondria, which is capable of depolarizing plasma and mitochondrial membranes. Rotenone, an inhibitor of mitochondrial electron transport at NADH:ubiquinone oxidoreductase, inhibits the transfer of electrons from iron-sulfur centers in complex I to ubiquinone and interferes with NADH. Herein, basal OCR is used to represent the function of mitochondria. Briefly, 2×104 cells were seeded onto 24-well plates and incubated overnight prior to the sequentially adding pre-optimized concentrations of oligomycin, FCCP and rotenone in that order. After washing the cells with 1 ml seahorse buffer [DMEM medium without phenol red containing glucose (4.5 g/l; Sigma, G7021), sodium pyruvate (1 mM; Gibco, 11360070) and glutamine (4 mM; Gibco, 25030081)], 600 μl seahorse buffer plus 60 μl each of oligomycin (50 μg/ml; Sigma, 75351), FCCP (10 μM; Sigma, C2920) and rotenone (10 μM; Sigma, R8875), was automatically injected. At the end of recording period, cells were collected and the individual cell numbers were determined using a trypan blue exclusion assay. OCR values were calculated after normalizing with the cell number and plotted as the mean±SD.
Fluorescence-Based methods to measure DCFDH oxidation, MitoSOX Red oxidation, mitochondria membrane potential (MMP) and autophagic flux. To measure DCFDH oxidation, cells were stained with DCFDA (10 μM; Sigma, D6883) for 30 minutes before flow cytometry analysis (Gallios, Beckman Coulter). In a second fluorescent dye oxidation measurement, cells were incubated with MitoSOX RED™ (Life Technologies, M36008; 5 mM) for 30 minutes in serum-free DMEM. In this report, increased oxidized DCF and MitoSOX red fluorescence are used as the measure or indicator of increased non-metabolic oxidation, which is consistent with oxidative stress, although the caveat that dye oxidation alone does not actually represent the increased production of ROS is acknowledged (Kalyanaraman et al. 2012). For mitochondrial membrane potential (MMP) analyses, cells were incubated in DMEM with DiOC6 (Sigma, 318426, 10 nM) for 30 minutes prior to analyses. For autophagic flux analyses, MDA-MB-231/GFP-LC3 cells were harvested after ADI-PEG20 treatment for different time periods, and immediately analyzed by flow cytometry. Data were collected from three independent experiments and are presented in a histogram. The flow cytometry analyses were performed using Flowjo software (Tree star).
Confocal and transmission electron microscopy. MDA-MB-231/GFP-LC3 cells were cultured in six-well plates with cover slips at a density of 1×105 cells/well, and then treated with ADI-PEG20 for 0, 12, and 24 hours, respectively. Cells were stained with MitoTracker Deep Red FM (Life Technologies, M22426; 300 nM) for 15 minutes in serum-free DMEM. After washing with PBS, the cover slips were mounted over a microscope slide in Prolong anti-fade reagent that contained DAPI (Life Technologies, P-36931), and examined using a Stallion Digital imaging station (Carl Zeiss microscopy, Gottingen, Germany). For mitochondria morphology characterization, MDA-MB-231 cells were cultured in six-well plates with cover slips at a density of 5×105 cells/well, and then treated with Mdivil (10 μM; Sigma, M0199), ADI-PEG20 or combination of both for 24 hours. Cells were stained with TOM20 for 1 hour at room temperature after fixation with 4% paraformaldehyde in PBS and permeabilized with 1 triton X-100. After washing, secondary antibody conjugate with Alexa-488 was added and incubated for 30 minutes at room temperature. Finally, slides were mounted using ProLong® Gold Antifade Reagent and imaged using confocal as described above. For transmission electron microscopy studies, cell pellets were fixed in glutaraldehyde (2% in 0.1 M Cacodylate buffer (Na(CH3)2AsO2.3H2O), pH 7.2) at 4° C., overnight. The cell pellets were then washed three times with 0.1 M Cacodylate buffer (pH 7.2), post-fixed with OsO4 (1% in 0.1 M Cacodylate buffer) for 30 minutes, and then washed three times again with Cacodylate buffer (0.1 M). The samples were dehydrated using a series of 60%, 70%, 80% and 95% ethanol, then 100% absolute ethanol (twice) and propylene oxide (twice), and were then placed in propylene oxide/Eponate (1:1) overnight at RT. The vials were sealed for the overnight incubation, and then opened the next day for 2-3 hours to allow the propylene oxide to evaporate. Finally, the samples were infused with 100% Eponate and polymerized at −64° C. for 48 hours. Ultra-thin sections (˜70 nm thick) were prepared using a Leica Ultracut UCT ultramicrotome with a diamond knife, picked up on 200 mesh copper EM grids. Grids were stained with uranyl acetate (2%) for 10 minutes, followed by Reynold's lead citrate staining for 1 minute. The samples were viewed using a FEI Tecnai 12 transmission electron microscope equipped with a Gatan Ultrascan 2K CCD camera. Three independent experiments were performed and a representative image is shown.
Oil Red O staining. MDA-MB-231 cells were cultured in six-well plates with cover slips at a density of 5×105 cells/well, and then treated ADI-PEG20 for 0, 24 and 48 hours, respectively. Cells were fixed using 4% paraformaldehyde in PBS for 30 minutes. Each well was gently rinsed twice with 1 ml of deionized water. 1.5 ml of 60% isopropanol was added to each well for 5 minutes. Isopropanol was then removed and replaced with 1.5 ml of Oil Red O working solution (2 mg/ml in 60% isopropanol; Sigma, 00625,) for 10 minutes at room temperature. Each well was rinsed with tap water until the clear and counterstained with hematoxylin for 1 minute. Lastly, each well was rinsed with tap water and mounted with 70% glycerol.
Xenograft studies. For tumorigenesis, 5×106 MDA-MB-231 and ATG5-knockdown MDA-MB-231 cells (MDA-MB-231/sh-ATG5) (resuspended in 100 μl serum-free DMEM media) were injected subcutaneously into the right flank of six-week-old female NOD.Cg-PrkdcscidII2rgtm1Wjl/SzJ (NSG) (NOD-SCID) mice. Mice were randomized at day-10 after tumor inoculation and received weekly either vehicle or 4 IU of ADI-PEG20 (0.2 ml) through tail vein injection (iv) for three weeks (N=5 per group). Tumor volume was measured weekly. Mice were killed on day-35, 4 days after last injection. Tumors were harvested for weight measurement and H&E staining. All animal experiments were approved by the institutional animal care and use committee at City of Hope.
Statistical analysis. The database was created using MS-Access and analyzed using Microsoft Excel, JMP 8.0 (SAS Institution) and GraphPad Prism 5.0 software. Group comparisons for normal distribution data were done by t-test (two samples) and Oneway ANOVA (multiple comparison). The nonparametric Wilcoxon test was used for continuous non-normal distribution data. For multiple comparisons, Tukey-Kramer HSD and Steel-Dwass methods were applied for following pairs' comparison in ANOVA and nonparametric Wilcoxon test, respectively. Each cell biology experiment was performed at least three times to obtain presented mean±SD and one representative image is shown. Categorical variables were compared using a chi square (X2) analysis, Fisher's exact test or binomial test of proportions. Kaplan-Meier analysis and a COX hazard proportional model were used to analyze overall survival and disease-free-survival. Multivariate analysis and stratification were used to reduce the confounder's impact on the estimation of the Hazard Ratio (HR). Statistical significant was set as p<0.05, two-tailed.
Results
ADI-PEG20 selectively inhibits the proliferation of ASS1-deficient BC cells. The relationship between ASS1 expression and proliferation of several BC cell lines was examined to determine whether reduced ASS1 abundance would increase the sensitivity of breast cancer cells to arginine starvation by treatment with recombinant ADI-PEG20. It was found that ASS1 mRNA and ASS1 protein abundance were relatively low in MDA-MB-231 and ZR-75-1 cells compared to MCF-7 and T47D cells (
ADI-PEG20 induces autophagy-dependent cell death. Using MDA-MB-231 cells, the mechanism underlying the arginine deprivation-induced cell death of breast cancer cells with low ASS1 was abundance was investigated. First, it was determined if ADI-PEG20 induces apoptosis in MDA-MB-231 cells, as previously suggested by studies using other types of cancer cells (Kim et al. 2009b; Delage et al. 2012). Flow cytometry indicated that approximately 13% of MDA-MB-231 cells were annexin V positive after being treated with ADI-PEG20 (
Arginine starvation has been reported to induce autophagy (Kim et al. 2009b; Shvets et al. 2008). First, it was determined whether ADI-PEG20 induced autophagy in MDA-MB-231 cells. During autophagy, a cytosolic form of microtubule-associated protein 1A/1B-light chain 3 (LC3-I) is conjugated by phosphatidylethanolamine to form LC3-II, which in turn recruited to autophagosomal membranes (Tanida et al. 2008; Klionsky et al. 2012; Tanida et al. 2004; Giminez-Zavier et al. 2009). Formation of GFP-LC3-positive puncta, a marker for autophagy (Klionsky et al. 2012), was monitored in GFP-LC3 stably-transfected MDA-MB-231 cells treated with ADI-PEG20. GFP-LC3 puncta were observed 12 hours after ADI-PEG20 treatment, but were decreased after 24 hours, indicating the appearance and disappearance of autophagosomes (
To determine the role of autophagy in inhibiting cell proliferation mediated by ADI-PEG20, shRNA was used to knock down the expression of ATG5 and BECLIN 1 (
ADI-PEG20 impairs mitochondrial bioenergetics. Autophagy is a catabolic process that delivers intracellular proteins or organelles sequestered in autophagosomes to lysosomes for recycling, thereby providing energy during metabolic stress (Levine & Kroemer 2008; Mizushima & Komatsu 2011). Glutamine depletion or autophagy-impairment decreases ATP production (Lin et al. 2012). Thus, the difference of ATP concentrations during the course of ADI-PEG20 treatment was analyzed in MDA-MB-231 cells stably-transfected with sh-control or sh-ATG5. ATP concentrations began to decrease 24 hours after ADI-PEG20 treatment and continued to decrease to less than 50% of vehicle-treated control cells at 48 hours after treatment (
Increasing the extracellular concentration of arginine, but not that of glutamine, attenuated the reduction in cell proliferation induced by ADI-PEG20 (
During mitochondrial electron transfer to the ATP synthase, both complexes I and II are involved in shuttling electrons to complex III (Birrell & Hirst 2013; Cecchini 2003; Ackrell 2000; Bianchi et al. 2004; Bianchi 2003). It was found that adding more succinate substrate for the complex II reaction rescued the reduced proliferation of ADI-PEG20-treated MDA-MB-231 cells in a concentration-dependent manner (
ADI-PEG20 increases ROS and decreases mitochondrial MMP in ASS1-deficient MDA-MB-231 cells. There is a complex relationship between oxidative phosphorylation, electron transport and the production of superoxide by mitochondria. Physiological uncoupling of ATP production from electron transport decreases superoxide production, whereas inhibiting the electron transport chain increases superoxide production (Forman & Kennedy 1974). Furthermore, simultaneously uncoupling and inhibiting electron transport increases superoxide production (Cadenas & Boveris 1980). The oxidation of DCFDH to DCF (Kalyanaraman et al. 2012) was used as the first approach (due to the limitations of fluorescent dyes to measure specific reactive species) to determine whether ADI-PEG20 increases the intracellular concentration of reactive oxygen species (ROS) that impair mitochondrial respiratory function. Although the relative DCF signal in MDA-MB-231 cells was lower than that in autophagy-impaired isogenic cells, ADI-PEG20 increased the relative signals of oxidized DCF in both MDA-MB-231 and MDA-MB-231/sh-ATG5 cells (
The ADI-PEG20-inceased generation of ROS (
ADI-PEG20 induces mitophagy in ASS1-deficient MDA-MB-231 cells. The observations that autophagy-competent MDA-MB-231 cells were more likely to be subjected to ADI-PEG20-induced loss of mitochondrial function, such as decreased ATP production and oxygen consumption (
ASS1 expression is a prognostic factor for overall breast cancer survival. It was observed that ASS1 abundance suppressed the ability of breast cancer cells to grow anchorage-independently (
Kaplan-Meier analyses indicated that reduced ASS1 abundance was a critical prognostic indicator for both overall (
Autophagy is required for ADI-PEG20 to cause shrinkage or regression of tumors in vivo. For proof of principle, the effects of autophagy-competence and treatment with ADI-PEG20 on tumors in vivo were determined. Female NOD.Cg-PrkdcscidII2rgtm1Wjl/SzJ mice with xenografts formed from MDA-MB-231 or MDA-MB-231/shATG5 cells were injected intravenously with vehicle control or ADI-PEG20. The MDA-MB-231 tumors from ADI-PEG20-treated mice were smaller than tumors from control mice (
Further, it was examined if there was a synergistic effect between ADI-PEG20 and doxorubicin, cisplatin or taxol, which are conventionally used as therapeutic agents against breast cancer, in MDA-MB-231 cells. The combination index (CI) of ADI-PEG20 with doxorubicin was assessed as described by Chou and the computer software of Chou and Martin (Chou & Talalay 1984; Chou 2006; C. T. a M. N. 2005). CI<1, =1, and >1 indicate synergism, additive effect, and antagonism, respectively (Chou 2006; C. T. a M. N. 2005). The calculated CI suggested a synergistic effect between ADI-PEG20 and doxorubicin (
Discussion
Understanding the metabolic differences between normal cells and tumor cells could provide the unique opportunity to design selective personalized therapy against breast cancer and other cancers. Considerable attention has been paid to glucose metabolism and glutamine addiction in tumor cells (DeBerardinis & Thompson 2012). However, the metabolism of cancer cells is complex, and involves various re-wiring of metabolic pathways that occurs during malignant transformation. In this regard, the studies described above illustrate a novel mechanism connecting the metabolic stress caused by arginine starvation to induce cell death of ASS1-deficient breast cancer cells (
The molecular mechanisms underlying cell death induced by ADI-PEG20-mediated arginine starvation of ASS1-deficient cells are not yet fully understood. Nutritional starvation often leads to autophagosome induction and arginine deprivation is of no exception (Feun et al. 2008; Kim et al. 2009a; Shvets et al. 2008). Paradoxically, while previous studies suggested that autophagy protects cells from dying upon the initiation of starvation, the results presented in the studies above showed that prolonged autophagy induction by sustained ADI-PEG20 treatment or arginine starvation eventually leads to cell death. To decipher this paradox, the function and fate of mitochondria inside ADI-PEG20-treated MDA-MB-231 cells was examined because mitochondria play a central role in satisfying higher demands for energy and anabolic needs during stress. Stressed cells have developed mechanisms, known as mitochondrial quality control, to deal with dysfunctional mitochondria in order to maintain homeostasis. Fusion between damaged mitochondria and healthy mitochondria may serve as one mechanism, either to dilute the damaged and detrimental components or to regain functional counterparts (Westermann 2010; Chan 2006; Youle & van der Bliek 2012). Alternatively, sustained starvation is known to induce the degradation of mitochondria by an autophagy-mediated system, known as mitophagy (Youle & Narendra 2011). Specifically, when damaged mitochondria lose their membrane potential (
It was found that ADI-PEG20 down-modulated the steady-state abundance of complex I/II transcripts (
The observation that SIRT3 protein was reduced by prolonged ADI-PEG20 treatment (
ASS1 engages in a rate-limiting step in de novo arginine biosynthesis to maintain arginine serum levels. Our analyses indicate that ASS1 abundance is an independent prognostic indicator of the survival of patients with breast cancer (
In summary, we focused on how to take advantage of the mitochondrial dysfunction that is induced by sustained treatment of ADI-PEG20 in ASS1-deficient breast cancers to kill the cells. It was shown that reduced ASS1 abundance results in the arginine dependency of mitochondria, causing subsequent cell death. This provides important implications for the development of tumor therapies, because conventional thoughts suggest that activating autophagy may contribute to the survival, rendering and recurrence of refractory tumors that are resistant to conventional chemotherapy. The observed synergistic effect between doxorubicin and ADI-PEG20 supports the possibility of exploiting arginine starvation as a therapeutic strategy by targeting a specific metabolic liability due to ASS1 deficiency in breast cancer cells. The number of breast cancers and other human malignancies that have substantial subtypes that lack ASS1 abundance provides opportunities to validate our findings of a previously unrecognized “mitochondria-targeting mechanism” in human patients with ASS1-deficient breast cancers and other types of ASS1-deficient cancers.
Example 2 Arginine-Deprivation Therapy Induces Chromatin Autophagy and Mitochondria Dysfunction in Prostate Cancer CellsAs discussed in the example below, autophagy is the principal catabolic pro-survival pathway during nutritional starvation. However, excessive autophagy could be cytotoxic, contributing to cell death, but its mechanism remains elusive. Arginine starvation has emerged as a potential therapy for several types of cancers, due to their tumor-selective deficiency of the arginine metabolome. Here, it was demonstrated that arginine depletion by arginine deiminase induces a cytotoxic autophagy in argininosuccinate synthetase (ASS1) deficient prostate cancer cells. Advanced microscopic analyses of arginine-deprived dying cells revealed a novel phenotype with giant-autophagosome formation, nucleus membrane rupture, and histone-associated-DNA leakage encaptured by autophagosomes, which shall be referred to herein as chromatin-autophagy or chromatophagy. In addition, nuclear inner membrane (lamin A/C) underwent localized rearrangement and outer membrane (NUP98) partially fused with autophagosome membrane. Further analysis showed that prolonged arginine depletion impaired mitochondrial OXPHOS function and depolarized mitochondrial membrane potential. Thus, ROS production significantly increased in both cytosolic and mitochondrial fractions, presumably leading to DNA damage accumulation. Addition of ROS scavenger, N-Acetyl-Cysteine (NAC), or knockdown of ATG5 or BECLIN1, attenuated chromatophagy phenotype. These data uncover an atypical autophagy-related death pathway and suggest that mitochondrial damage is central to linking arginine starvation and chromatophagy in two distinct cellular compartments.
Introduction
Nutritional starvation therapy is under intensive investigation, as it provides potentially a lower toxicity with higher specificity than conventional cancer therapy. Autophagy often triggered by starvation, represents an energy-saving, pro-survival cellular function; however, dysregulated autophagy could also lead to cell death, a process distinct from the classical caspase-dependent apoptosis. This study shows how arginine starvation specifically kills tumor cells by a novel mechanism involving mitochondria dysfunction, ROS generation, DNA leakage and chromatin autophagy, where leaked DNA is captured by giant autophagosome. These results not only provide insights into the fundamental process of metabolic stress-based cancer therapy, but also uncover a new cell-death mechanism.
There is considerable evidence that tumor and normal cells differ in their metabolic requirements. The most prominent examples are the addiction of tumor cells to glucose (i.e., Warburg effect) and to glutamine (Kim & Dang 2006; Vander Heiden et al. 2009; Dang 2010). Therapeutics based on selective targeting of these metabolic pathways are under intensive investigations. Starvation therapy generally posts an advantage of having lower toxicity than the conventional radiation and chemotherapy. In addition to glutamine, the differential requirement of other amino acids by tumor cells also exist and has been exploited in developing amino-acid depletion therapy. The choices however are limited, as only eleven amino acids are considered semi-essential or non-essential. Nevertheless, recent studies showed that starvation of arginine, asparagine, cysteine, leucine and glutamine seems to provide preferential killing of tumor cells (Fuen et al,. 2008; Huang et al, 2012; Huang et al. 2012; Muller & Boos 1998; Possemato et al. 2011; Wheatley & Campbell 2003; Wise & Thompson 2010). Among them, arginine and asparagine depletion probably are the most advanced in amino-acid starvation therapies and have reached clinical trials (Ascierto et al. 2005; Wetzler et al. 2007).
Argininosuccinate synthetase (ASS1), a rate-limiting enzyme for intracellular arginine synthesis was found to have reduced expression in many cancer types including prostate cancer (Feun et al. 2008; Huang et al. 2012; Gong et al. 2000; Ensor et al. 2002; Bowles et al. 2008; Kobayashi et al. 2010; Hsueh et al. 2012; Kelly et al. 2012; Kim et al. 2009b). As a result, prostate cancer cells become “auxotroph” for and addicted to external arginine. Indeed, it has been shown that depletion of arginine effectively induces cell death of castration-resistant prostate cancer cells, but not normal prostate epithelial cells in vitro and in vivo (Kim et al. 2009b; Kim et al. 2009a). This was made possible by the availability of pegylated arginine deiminase (ADI-PEG20) a recombinant mycoplasma protein (Polaris, CA), which converts arginine to citrulline and effectively removes extracellular arginine. Previous worldwide clinical trials of ADI-PEG20 showed it is well tolerated, and the FDA has recently approved it for Phase III clinical trials in hepatocellular carcinoma (Ascierto et al. 2005; Lin et al. 2012).
ADI-PEG20-treatment of prostate cancer cells was accompanied by profound autophagy and caspase-independent cell death (Kim et al. 2009b; Kim et al. 2009a). In the experiments described below, it was further demonstrated that prolonged ADI-PEG20-treatment leads to DNA leakage and that this leaked DNA, together with histones and other chromatin-associated proteins were captured by LC3-containing autophagosomes. This process may be referred to herein as “chromatophagy”. This nuclear leakage phenomenon was associated with compromised mitochondrial OXPHOS and increased ROS, and accumulated DNA damage. These studies revealed a new cellular death mechanism associated with therapeutic arginine deprivation.
Materials and Methods
Reagents. Recombinant arginine deiminase (ADI), formulated with linear 20,000-molecular-weight polyethylene glycol molecules (ADI-PEG20), was generously provided by Polaris Pharmaceuticals, Inc.
Antibodies. Antibodies used in this study were as follows: mouse monoclonal anti-caspase 7 (10-1-62; BD Pharmingen), mouse monoclonal anti-caspase 8 (3-1-9; BD Pharmingen), mouse monoclonal anti-caspase 9 (2-22; BD Pharmingen), rabbit monoclonal E-cadherin (24E10; Cell Signaling Technology), rabbit polyclonal anti-Ku70 (Abcam), mouse monoclonal anti-lamin NC (JoL3; Abcam), mouse monoclonal anti-LAMP1 (H4A3; Developmental Studies Hybridoma Bank), rabbit monoclonal NUP98 (C39A3; Cell Signaling Technology), rabbit polyclonal anti-gamma-H2A. X (phospho S139; Abcam), rabbit monoclonal anti-ATG5 (D5G3; Cell Signaling Technology), rabbit monoclonal anti-Histone H3 (D1H2; Cell Signaling Technology), and rabbit polyclonal anti-acetyl-Histone H2B (Cell Signaling Technology).
Cell Culture and Treatment. Prostate cancer cell lines CWR22Rv1, CWR22Rv1 GFP-LC3 (stably transfected), and PC3 were cultured in RMPI 1640 supplemented with 10% (vol/vol) FBS and 1% (vol/vol) penicillin/streptomycin. Pancreas cancer cell lines Mia and L3.3 were culture in DMEM supplemented with 10% (vol/vol) FBS and 1% (vol/vol) penicillin/streptomycin. All cells were maintained at 37° C. in a 5% (vol/vol) CO2, 95% (vol/vol) air incubator. For autophagy induction, CWR22Rv1, CWR22Rv1 GFP-LC3, PC3, Mia, and L3.3 cells were seeded in six-well plates or glass-bottom dishes (P35GC-1.5; MatTek) and treated with ADI-PEG20 (0.3 μg/mL) for 24, 48, 72, 96, or 120 h the following day. For autophagy inhibition, CWR22Rv1 and CWR22Rv1 GFP-LC3 were treated with 3-methyladenine (3-MA, 1 mM; Sigma), ADI-PEG20 (0.3 μg/mL), or both for 24, 48, 72, 96, or 120 h the following day. All cell samples were collected at each time point and analyzed by immunofluorescence microscopy (see below). For antioxidant treatment, ADI-PEG20-treated CWR22Rv1 cells were incubated with or without N-acetyl cysteine (NAC, 10 μM, Sigma) for 96 h at 37° C.
Arginine Deprivation. Arginine-depleted RPMI-1640 medium was prepared by adding back 0.05 g/L L-leucine (L8912; Sigma) and 0.04 g/L lysine (L5501; Sigma) into RMPI-1640 medium without L-arginine, L-leucine, lysine and Phenol Red (R1780; Sigma), and was supplemented with 10% (vol/vol) FBS and 1% (vol/vol) penicillin/streptomycin. Arginine-depleted RPMI was sterilized by vacuum filtration system with a 47-mm membrane (Nalgene). Cells were initially cultured in regular RMPI-1640 until proper cell density was reached. Regular media was aspirated and cells were washed briefly with PBS and continued to incubate in arginine-depleted RPMI for 24, 48, 72, 96, or 120 h at 37° C. Samples were collected at each time point and later analyzed by immunofluorescence microscopy (see below).
Microscope image acquisition and image analysis. For autophagy image acquisition, cells were imaged with wide-field DeltaVision deconvolution microscope (Applied Precision Inc.), equipped with 60x/1.42 NA oil immersion objective lens. Both microscope and camera were controlled by SoftWorX application suite software. Stacks of optical section images, with image size of 512×512 pixels, were collected for all fluorochromes.
For live-cell autophagy imaging, cells were seeded onto a 35-mm glass-bottom dish (1.5, poly-lysine coated; MatTek) or microfluidic plate (CellASIC) and visualized under a DeltaVision deconvolution microscope, which was also equipped with both environmental chamber and ONIX microfluidic perfusion system (CellASIC) to main constant temperature at 37° C., humidity, and 5% (vol/vol) CO2 concentration. For fixed-cell autophagy imaging, cells were seeded on coverslip (1.5 or 170-μm thickness) and fixed in 4% (vol/vol) paraformaldehyde/1× PBS (PFA) for 10 min at room temperature. After rinsing with washing buffer [Hepes buffered saline and 1% (vol/vol) BSA] three times, cells were permeabilized in permeabilization buffer [Hepes buffered saline, 1% (vol/vol) BSA, 2.5% (vol/vol) casein, and 0.05% (vol/vol) saponin (Sigma)] for 10 min at room temperature. Blocking buffer [Hepes buffered saline, 1% (vol/vol) BSA, and 2.5% (vol/vol) casein] was added for 1 h at room temperature. Primary antibodies used were described above, and appropriate secondary antibodies (Alexa Fluor 488, 555, 647; Invitrogen) were used after primary antibody incubation at 4° C. overnight. All coverslips were mounted over a microscope slide in Prolong Gold anti-fade reagent (Life Technologies).
For γH2AX and 8-hydroxy-2′-deoxyguanosine (8-OHdG) immunofluorescence microscopy and image analysis, cells were seeded on coverslip and fixed in PFA for 30 min at room temperature. After washing with PBS three times, blocking solution [0.1% (vol/vol) Triton X-100 and 5% (vol/vol) BSA in PBS] was added for 1 h at room temperature or 4° C. overnight. The slides are incubated with an anit-γH2AX antibody (A300-081; Bethyl) or 8-OHdG (sc-66036; Santa Cruz) at 4° C. overnight and appropriate secondary antibodies (Alexa Fluor 568; Invitrogen) were used after primary antibody incubation. After washing with PBS, the coverslips were mounted over a microscope slide in Prolong anti-fade reagent that contained DAPI (P-36931; Life Technologies) and examined using a Stallion Digital imaging station (Carl Zeiss Microscopy).
Nucleus was visualized with DAPI or DRAQS (BioStatus) staining with manufacturer's protocol. Lysosomes were labeled with anti-LAMP1 (DSHB) for fixed-cells, or by LysoTracker Red (Invitrogen) for live-cells following manufacturer's protocol. Stacks of fluorescence images were deconvolved by using SoftWorX software (Applied Precision Inc.), and later analyzed with VoloCITY software (Perkin Elmer). All cell samples were scored for the presence of DNA leakage, and more than one leaked DNA or captured DNA by autophagosomes per cell reflects ADI-induced DNA damage.
Transmission electron microscopy. The ADI-PEG20-treated CWR22Rv1 cells were collected and loaded into flat specimen holders for high pressure freezing in an electron microscopy PACT HPF station (Leica Microsystems, Vienna). The samples were freeze substituted in acetone containing 0.2% glutaraldehyde and 0.1% uranyl acetone at −90° C. for 72-h and then warmed up gradually to −20° C. (AFS; Leica Microsystems) to complete substitution. After dehydration in ethanol of increasing concentration, followed by a series of Lowicryl-Ethanol mixtures and then infiltrated with pure Lowicryl resin for 16-h. Finally, the resin polymerization was performed at −50° C. under UV light. The sample block was then trimmed and sectioned with a Leica Ultracut microtome. Sections of 100 nm-120 nm thick were collected on copper grids for imaging under a JEOL 1230 electron microscope. The electron micrographs were recorded on a F214CCD camera (TVIPS Gauting).
Hypodiploid Cell (DNA Content <2n) Analyses Using Propidium Iodide. ADI-PEG20-treated cells, including the supernatant, were harvested and washed with PBS. Resuspended cells (in 300 μL PBS) were added with 700 μL of absolute cold ethanol dropwise with vortexing and fixed at −20° C. overnight. The cells were pelleted with centrifugation at 1,000×g at 4° C. for 5 min. Supernatant was decanted carefully and washed twice in PBS at room temperature. Resuspended the cells (in 495 μL PBS) were added with 5 μL of RNase A (1 mg/mL) and incubated at 37° C. for 30 min to avoid the interference of RNA. Finally, 500 μL of PBS containing 10 μg/mL propidium iodide was added to make the finally concentration 5 μg/mL, and cells were stained for 15 min in darkness. The samples are subjected to flow-cytometric analysis for their DNA content histogram and the hypodiploid cell populations were scored (Gallios; Beckman Coulter).
Fluorescence-Based Methods to Measure CellROX Oxidation, MitoSOX Red Oxidation, Mitochondria Membrane Potential, and Autophagic Flux. Cells were stained with CelIROX Deep Red (C10422, 5 μM; Molecular Probes) for 30 min before flow cytometry analyses (Gallios; Beckman Coulter). In a second fluorescent dye oxidation measurement, cells were incubated with MitoSOX Red (M36008, 5 mM; Life Technologies) for 45 min in serum free DMEM. In this paper, elevation of CelIROX Deep Red and MitoSOX Red fluorescence are used as the measure or indicator of increased nonmetabolic oxidation, which is consistent with oxidative stress. For mitochondrial membrane potential analyses, cells were incubated in DMEM with DiOC6 (318426, 10 nM; Sigma) for 30 min before analyses. For autophagic flux analyses, CWR22Rv1/GFP-LC3 cells were harvested after ADI-PEG20 treatment for different time periods and immediately analyzed by flow cytometry. Data were collected from three independent experiments and are presented in a histogram. The flow cytometry analyses were performed using FlowJo software (TreeStar).
Virus Production and Transduction. Target gene DNA in a lentiviral backbone (pLKO.puro or pSin) (21 μg), pΔ8.7 (14 μg), and pVSV-G (7 μg) were transfected using Lipofectamine 2000 (11668-019, Life Technologies) into HEK293T/FT cells that had been seeded in a T-175 flask and had reached 60% confluence on the day of transfection. On the second day after transfection, cells were treated with sodium butyrate (10 mM) to stimulate virus production. Media containing viruses were harvested on the fifth day and filtered through a 0.45-μm filter. For viral transduction, cells were treated with media containing viruses overnight in the presence of polybrene (8.3 μg/mL) and this was followed by selection with puromycin (1 μg/mL).
Whole-Cell Extracts and Immunoblotting. Cells were harvested and lysed on ice for 30 min in RIPA buffer (9806; Cell Signaling) containing complete protease inhibitor mixture (11836145001; Roche). The protein concentrations of whole-cell extracts were determined using a Bio-Rad Protein Assay Kit (500-0001; Bio-Rad). Approximately 40 μg of protein extract was mixed with an equal volume of 2×SDS loading buffer, boiled for 5 min, then separated by Tris-glycine SDS/PAGE and transferred to PVDF membranes. The membranes were blocked with 5% nonfat milk in PBST [PBS containing 0.05% (vol/vol) Tween 20] and incubated with primary antibodies at 4° C. overnight. The membranes were then washed with three times with PBST for 10 min, three times, and incubated with HRP-labeled secondary antibodies for 2 h at room temperature. Immunoblots were visualized using VersaDoc 5000 imaging system (Bio-Rad). All blots were performed with standard protocol.
Apoptosis and Mitotic Catastrophe Induction. CWR22Rv1 cells were cultured in RPMI supplemented with 10% (vol/vol) FBS and 1% (vol/vol) penicillin/streptomycin. For UV-induced apoptosis, media was aspirated and cells were briefly washed with PBS. Cells were exposed to UV in UV Crosslinker box (Fisher Scientific) under optimal cross-link condition. Fresh RPMI-1640 was added, followed by 24 h incubation at 37° C. For mitotic catastrophe induction, cells were treated with paclitaxel (100 nmol/L; Sigma) for 24 h at 37° C., and cell samples were collected the next day.
Oxygen Consumption Rate. Cellular mitochondrial function was measured using the Seahorse Bioscience XF24 Extracellular Flux Analyzer. The mitochondrial function was assayed by sequential injections of oligomycin (ATP synthase inhibitor), FCCP (carbonylcyanide p-trifluoromethoxy phenylhydrazone), mitochondrial oxidative phosphorylation protonophore and uncoupler, and rotenone (mitochondrial complex I inhibitor) to define basal oxygen consumption rate (OCR), ATP-linked OCR, proton leak, maximal respiratory capacity, reserve respiratory capacity, and nonmitochondrial oxygen consumption, all according to the manufacturer's instructions. Herein, basal OCR is used to represent the function of mitochondria. Briefly, 2×104 cells were seeded onto 24-well plates and incubated overnight before sequentially adding preoptimized concentrations of oligomycin, FCCP, and rotenone, in that order. After washing the cells with 1 mL seahorse buffer [DMEM without phenol red containing glucose (G7021, 4.5 g/L; Sigma), sodium pyruvate (11360070, 1 mM; Gibco), and glutamine (25030081, 4 mM; Gibco)], 600 μL seahorse buffer plus 60 μL each of oligomycin (75351, 50 μg/mL; Sigma), FCCP (C2920, 10 μM; Sigma), and rotenone (R8875, 10 μM; Sigma) was automatically injected. At the end of recording period, cells were collected and the individual cell numbers were determined using a trypan blue exclusion assay. OCR values were calculated after normalizing with the cell number and plotted as the mean±SD.
8-OHdG ELISA. DNAs were isolated using DNeasy blood and tissue kit (69504; Qiagen) according to the supplier's protocols. Extracted DNAs were dissolved in water to 1 mg/mL and the DNA sample was converted to single-stranded DNA by incubating the sample at 95° C. for 5 min and rapidly chilling on ice. DNA samples were digested to nucleosides by incubating the denatured DNA with 10 units of nuclease P1 (N8630; Sigma) for 2 h at 37° C. in 20 mM sodium acetate (S2889; Sigma), pH 5.2, and followed with treatment of 10 units of alkaline phosphatase (M0290S; New England Biolabs) for 1 h at 37° C. in 100 mM Tris (T5941; Sigma), pH 7.5. The reaction mixture was centrifuged for 5 min at 6,000×g and the supernatant was used for the 8-OHdG ELISA using Oxiselect oxidative DNA damage ELISAkit (STA-320; Cell Biolabs) according to supplier's protocols.
Results
ADI-PEG20 targets cancer cells via atypical death pathway with nuclear DNA leakage. To explore the mechanism underlying ADI-PEG20- and arginine deprivation-mediated cytotoxic effect, prostate cancer CWR22Rv1 cells were treated with 0.3 μg/ml (IC50) of ADI-PEG20. This treatment resulted in cell death with two unusual features that distinguished it from conventional apoptosis. First, there was a long incubation period (48-h) before the emergence of hypodiploid cells (DNA content<2n) in flow-cytometric analysis (
In order to investigate the mechanism underlying prostate cancer cell death by arginine deprivation, advanced 4-D fluorescence microscopy was used to examine the nuclear dynamics. As shown in
A notable feature of this phenotype, distinguishing it from apoptotic bodies, is that, the leaked DNA was not surrounded by plasma membrane and nucleus was not shattered either. In fact, the gross morphology of these cells containing leaked DNA, as indicated by cell membrane marker E-Cadherin staining, appeared to be intact (
ADI-PEG20 induces giant autophagosome formation.
Lastly, autophagy flux was measured by using flow-cytometry. As shown in
Nuclear membrane remodels during ADI-PEG20-induced chromatophagy. Next, it was determined whether the leaked DNAs were from nucleus. If so, it must be sheared from nuclear DNA and therefore, could be considered as damaged DNA. To investigate this, and to further characterize these DNA-containing autophagosome complexes, immunofluorescence was used to identify proteins known to be associated with chromatin and/or DNA repair. Nuclear DNA/chromatin-bound proteins, both H3 (
The nuclear membrane is composed of lipid bi-layer and its integrity is essential for cell survival. To examine whether the nuclear membrane integrity might have been compromised, resulting in DNA leakage, arginine-starved cells were stained with nuclear outer membrane marker nucleolin (NUP98). A series of Z-section fluorescence images revealed that portions of the outer membrane might have fused with autophagosome (
Next, the inner membrane structure of nucleus was examined using lamin NC as markers. The detailed 3-D information shows (1) a discontinuity of lamin NC signals peripherally surrounding the nucleus and (2) lamin NC signals displaying a cave-in like shape at site of autophagy (
ADI-PEG20 impairs mitochondrial function and induces ROS generation. During the course of analyzing some of the TEM images, abnormal mitochondria were noted (
Autophagy is required for DNA leakage. To investigate the potential contribution of autophagy to DNA leakage/DNA damage, shRNA was used to knockdown ATG5 or BECLIN1, essential proteins for autophagy initiation and autophagosome formation (Yue et al. 203; Pyo et al. 2005; Matsushita et al. 2007; Kang et al. 2011) in CWR22Rv1 cells over-expressing GFP-LC3. Western analyses of ATG5-ATG12 and BECLIN1 confirmed that the respective protein expression level was reduced to approximately 40 and 10% in the knockdown cells (
Discussion
Targeting “arginine-addiction” may be exploited therapeutically due to the preferential loss of ASS1 expression in tumor cells. The reduced ASS1 expression renders the cells unable to produce arginine intracellularly and become addictive to external arginine. In this study, it was found that ADI-PEG20 induces autophagy with two distinct phases. Conventional autophagy which protected cells from dying was seen in the first 48-h, and afterwards, atypical or excessive autophagy and formation of giant autophagosomes, leading to cell death were detected. This type of cell killing differs from the classical type I apoptosis, in that it can be caspase-independent, accompanied by DNA leakage from the nucleus, and autophagosome capturing of the leaked chromatin, referred to here as chromatophagy. The observation that both Ku70 and histones were also captured suggest that the leaked DNA is of nuclear, but not mitochondria origin.
One of the striking findings in these studies is the high level of “giant autophagosomes and autolysosomes” encapsulating the leaked DNA in the ADI-PEG20-treated dying cells. Nutritional starvation often leads to autophagosome induction and arginine deprivation is of no exception. However, the average volume of this chromatin-uptaken vesicle, with its diameter ranging from 2 μm to >10 μm, was several-fold greater than the conventional size (700 nm to 1 μm (Klonsky et al. 2012)) in the arginine-starved cell (
The correlation of the quantitative data on the time-dependent ROS production (
Formation of perinuclear autophagic vacuoles and uptake of leaked DNA have been described in envelopathies LmnaH222P/H222P mouse embryonic fibroblasts (Park et al. 2009; Rello-Varona et al. 2012). These data illustrated an intimate relationship between the integrity of nuclear envelope, such as lamin, and DNA leakage. This suggests that autophagosome membrane formation/fusion with nuclear membrane might play a role in DNA leakage. Alternatively, as the inner membrane first disintegrated/dissolved, followed by the outer membrane fused with autophagosome, damaged DNA exited from the nucleus at the weakened site and was captured by autophagosomes. The common theme of these phenomena is that they are all in response to genome instability, whether caused by nuclear envelope defects, micronuclei formation (Park et al. 2009; Rello-Varona et al. 2012), or reactive oxygen species from damaged mitochondria (this paper). This highlights the role of chromatophagy in the loss of genome integrity and order. Another nucleophagy-related phenomenon has been described in yeast, named piecemeal microautophagy of the nucleus (PMN) (Kvam & Goldfarb 2007). The chromatophagy described here also differs from envelopathies- and micronuclei-associated nuclear-phagy: (i) a higher proportion of cells are affected, (ii) DNA is directly taken from nucleus instead of engulfing micronuclei—“free” micronuclei were never found in the cytosol, and (iii) The DNA-containing autophagosomes are usually significantly larger and contain more DNA than micronuclei. Furthermore, rapamycin treatment induced PMN in Saccharomyces cerevisiae (Roberts et al. 2003) but not chromatophagy in CWR22RV1 cells (this study). Further, a type of lysosome-dependent autophagy has been shown, namely RNautophagy, targeting RNA (Fujiwara et al. 2013a) and DNautophagy targeting DNA (Fujiwara et al. 2013b). In this type of autophagy, RNA or DNA may be able to bind to the cytosolic tail of LAMP2C on the surface of the lysosomal membrane and may be able bind to the cytosolic tail of LAMP2C. However, this cannot entirely explain the recruitment of leaked DNA into autophagosomes.
The results above strengthen and redefine the dynamic role of arginine-starvation-induced autophagy in ASS1-lacking cancer cells, which could be the mechanistic foundation of starvation therapy by FDA-approved ADI-PEG20. Application of ADI-PEG20, or arginine-starvation, seems to offer a specific therapeutic advantage of starving tumor cells to death without affecting the normal counterpart and utilizing a cell death mechanism distinct from apoptosis-based conventional therapy.
REFERENCESThe references, patents and published patent applications listed below, and all references cited in the specification above are hereby incorporated by reference in their entirety, as if fully set forth herein.
-
- Ackrell, Progress in understanding structure-function relationships in respiratory chain complex II. FEBS letters 466, 1-5 (2000).
- Ahn, H. S. Kim, S. Song, I. H. Lee, J. Liu, A. Vassilopoulos, C. X. Deng, T. Finkel, A role for the mitochondrial deacetylase Sirt3 in regulating energy homeostasis. Proceedings of the National Academy of Sciences of the United States of America 105, 14447-14452 (2008); published online EpubSep 23 (10.1073/pnas.0803790105).
- Ascierto P A, Scala S, Castello G, Daponte A, Simeone E, Ottaiano A, Beneduce G, De Rosa V, et al. (2005) Pegylated arginine deiminase treatment of patients with metastatic melanoma: results from phase I and II studies. J Clin Oncol 23(30): 7660-7668.
- Beloussow, L. Wang, J. Wu, D. Ann, W. C. Shen, Recombinant arginine deiminase as a potential anti-angiogenic agent. Cancer letters 183, 155-162 (2002).
- Bianchi, M. L. Genova, G. Parenti Castelli, G. Lenaz, The mitochondrial respiratory chain is partially organized in a supercomplex assembly: kinetic evidence using flux control analysis. The Journal of biological chemistry 279, 36562-36569 (2004); published online EpubAug 27 (10.1074/jbc.M405135200).
- Bianchi, R. Fato, M. L. Genova, G. Parenti Castelli, G. Lenaz, Structural and functional organization of Complex I in the mitochondrial respiratory chain. BioFactors 18, 3-9 (2003).
- Birrell, J. Hirst, Investigation of NADH binding, hydride transfer, and NAD(+) dissociation during NADH oxidation by mitochondrial complex I using modified nicotinamide nucleotides. Biochemistry 52, 4048-4055 (2013); published online EpubJun 11 (10.1021/bi3016873).
- Boren, K. M. Brindle, Apoptosis-induced mitochondrial dysfunction causes cytoplasmic lipid droplet formation. Cell Death Differ 19, 1561-1570 (2012); published online EpubSep (cdd201234 [pii] 10.1038/cdd.2012.34).
- Bowles T L, et al. (2008) Pancreatic cancer cell lines deficient in argininosuccinate synthetase are sensitive to arginine deprivation by arginine deiminase. Int J Cancer 123(8): 1950-1955.
- Brennan J P, et al. (2006) Mitochondrial uncoupling, with low concentration FCCP, induces ROS-dependent cardioprotection independent of KATP channel activation. Cardiovascular Research 72(2): 313-321.
- Bryant, N. Schultz, H. D. Thomas, K. M. Parker, D. Flower, E. Lopez, S. Kyle, M. Meuth, N. J. Curtin, T. Helleday, Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase. Nature 434, 913-917 (2005); published online EpubApr 14 (10.1038/nature03443).
- C. T. a. M. N. (Paramus, N.J., 2005).
- Cadenas, A. Boveris, Enhancement of hydrogen peroxide formation by protophores and ionophores in antimycin-supplemented mitochondria. The Biochemical journal 188, 31-37 (1980).
- Cassidy-Stone, J. E. Chipuk, E. Ingerman, C. Song, C. Yoo, T. Kuwana, M. J. Kurth, J. T. Shaw, J. E. Hinshaw, D. R. Green, J. Nunnari, Chemical inhibition of the mitochondrial division dynamin reveals its role in Bax/Bak-dependent mitochondrial outer membrane permeabilization. Developmental cell 14, 193-204 (2008); published online EpubFeb (10.1016/j.devce1.2007.11.019).
- Cecchini, Function and structure of complex II of the respiratory chain. Annual review of biochemistry 72, 77-109 (2003)10.1146/annurev.biochem.72.121801.161700).
- Chan, Mitochondria: dynamic organelles in disease, aging, and development. Cell 125, 1241-1252 (2006); published online EpubJun 30 (10.1016/j.ce11.2006.06.010).
- Chang, D. S. Nuyten, J. B. Sneddon, T. Hastie, R. Tibshirani, T. Sorlie, H. Dai, Y. D. He, L. J. van't Veer, H. Bartelink, M. van de Rijn, P. O. Brown, M. J. van de Vijver, Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proceedings of the National Academy of Sciences of the United States of America 102, 3738-3743 (2005); published online EpubMar 8 (10.1073/pnas.0409462102).
- Cheng P N M, et al. (2007) Peglyated Recombinant Human Arginase (rhArg-peg5,000mw) inhibits the in vitro and in vivo proliferation of human hepatocellular carcinoma through arginine depletion. Cancer Research 67(1): 309-317.
- Chou, P. Talalay, Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors. Advances in enzyme regulation 22, 27-55 (1984).
- Chou, Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacological reviews 58, 621-681 (2006); published online EpubSep (10.1124/pr.58.3.10).
- Dang C (2010) Rethinking the Warburg effect with Myc micromanaging glutamine metabolism. Cancer Res 70(3): 859-862.
- DeBerardinis, C. B. Thompson, Cellular metabolism and disease: what do metabolic outliers teach us? Cell 148, 1132-1144 (2012); published online EpubMar 16 (10.1016/j.ce11.2012.02.032).
- Delage, P. Luong, L. Maharaj, C. O'Riain, N. Syed, T. Crook, E. Hatzimichael, A. Papoudou-Bai, T. J. Mitchell, S. J. Whittaker, R. Cerio, J. Gribben, N. Lemoine, J. Bomalaski, C. F. Li, S. Joel, J. Fitzgibbon, L. T. Chen, P. W. Szlosarek, Promoter methylation of argininosuccinate synthetase-1 sensitises lymphomas to arginine deiminase treatment, autophagy and caspase-dependent apoptosis. Cell death & disease 3, e342 (2012)10.1038/cddis.2012.83).
- Denko, Hypoxia, HIF1 and glucose metabolism in the solid tumour. Nature reviews. Cancer 8, 705-713 (2008); published online EpubSep (10.1038/nrc2468).
- Ding, F. Guo, H. M. Ni, A. Bockus, S. Manley, D. B. Stolz, E. L. Eskelinen, H. Jaeschke, X. M. Yin, Parkin and mitofusins reciprocally regulate mitophagy and mitochondrial spheroid formation. The Journal of biological chemistry, (2012); published online EpubOct 24 (10.1074/jbc.M112.413682).
- Ensor C M, Holtsberg F W, Bomalaski J S, Clark M A (2002) Pegylated arginine deiminase (ADI-SS PEG20,000mw) inhibits human melanomas and hepatocellular carcinomas in vitro and in vivo. Cancer Res 62(19): 5443-5450.
- Farmer, N. McCabe, C. J. Lord, A. N. Tutt, D. A. Johnson, T. B. Richardson, M. Santarosa, K. J. Dillon, I. Hickson, C. Knights, N. M. Martin, S. P. Jackson, G. C. Smith, A. Ashworth, Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature 434, 917-921 (2005); published online EpubApr 14 (10.1038/nature03445).
- Feun L, et al. (2008) Arginine deprivation as a targeted therapy for cancer. Curr Pharm Des 14(11): 1049-1057.
- Forman, J. A. Kennedy, Role of superoxide radical in mitochondrial dehydrogenase reactions. Biochem Biophys Res Commun 60, 1044-1050 (1974); published online EpubOct 8 (0006-291X(74)90418-5 [pii]).
- Frezza, E. Gottlieb, Mitochondria in cancer: not just innocent bystanders. Seminars in cancer biology 19, 4-11 (2009); published online EpubFeb (10.1016/j.semcancer.2008.11.008).
- Fujiwara Y, et al. (2013a) Discovery of a novel type of autophagy targeting RNA. Autophagy 9(3):403-409.
- Fujiwara Y, et al. (2013b) Direct uptake and degradation of DNA by lysosomes. Autophagy 9(8):1167-1171.
- Gimenez-Xavier, R. Francisco, A. F. Santidrian, J. Gil, S. Ambrosio, Effects of dopamine on LC3-II activation as a marker of autophagy in a neuroblastoma cell model. Neurotoxicology 30, 658-665 (2009); published online EpubJul (10.1016/j.neuro.2009.04.007).
- Glazer, M. Piccirillo, V. Albino, R. Di Giacomo, R. Palaia, A. A. Mastro, G. Beneduce, G. Castello, V. De Rosa, A. Petrillo, P. A. Ascierto, S. A. Curley, F. Izzo, Phase II study of pegylated arginine deiminase for nonresectable and metastatic hepatocellular carcinoma. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 28, 2220-2226 (2010); published online EpubMay 1 (10.1200/JCO.2009.26.7765).
- Gong H, Zolzer F, von Recklinghausen G, Havers W, Schweigerer L. (2000) Arginine deiminase inhibits proliferation of human leukemia cells more potently than asparaginase by inducing cell cycle arrest and apoptosis. Leukemia 14(5): 826-829.
- Hatch E M, Fischer A H, Deerinck T J, Hetzer M W (2013) Catastrophic nuclear envelope collapse in cancer cell micronuclei. Cell 154(1):47-60.
- Hirayama, K. Kami, M. Sugimoto, M. Sugawara, N. Toki, H. Onozuka, T. Kinoshita, N. Saito, A. Ochiai, M. Tomita, H. Esumi, T. Soga, Quantitative metabolome profiling of colon and stomach cancer microenvironment by capillary electrophoresis time-of-flight mass spectrometry. Cancer research 69, 4918-4925 (2009); published online EpubJun 1 (10.1158/0008-5472.CAN-08-4806).
- Hsueh E C, et al. (2012) Deprivation of arginine by recombinant human arginase in prostate cancer cells. J Hematol Oncol 5: 17.
- Huang C C, et al. (2012) Arginine deprivation as a new treatment strategy for head and neck cancer. Oral Oncol 48(12): 1227-1235.
- Huang, W. R. Wu, Y. H. Wang, J. W. Wang, F. M. Fang, J. W. Tsai, S. H. Li, H. C. Hung, S. C. Yu, J. Lan, Y. L. Shiue, C. H. Hsing, L. T. Chen, C. F. Li, ASS1 as a novel tumor suppressor gene in myxofibrosarcomas: aberrant loss via epigenetic DNA methylation confers aggressive phenotypes, negative prognostic impact, and therapeutic relevance. Clinical cancer research : an official journal of the American Association for Cancer Research 19, 2861-2872 (2013); published online EpubJun 1 (10.1158/1078-0432.CCR-12-2641).
- Husson, C. Brasse-Lagnel, A. Fairand, S. Renouf, A. Lavoinne, Argininosuccinate synthetase from the urea cycle to the citrulline-NO cycle. European journal of biochemistry/FEBS 270, 1887-1899 (2003).
- Izzo, P. Marra, G. Beneduce, G. Castello, P. Vallone, V. De Rosa, F. Cremona, C. M. Ensor, F. W. Holtsberg, J. S. Bomalaski, M. A. Clark, C. Ng, S. A. Curley, Pegylated arginine deiminase treatment of patients with unresectable hepatocellular carcinoma: results from phase I/II studies. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 22, 1815-1822 (2004); published online EpubMay 15 (10.1200/JC0.2004.11.120).
- Jemal, F. Bray, M. M. Center, J. Ferlay, E. Ward, D. Forman, Global cancer statistics. CA: a cancer journal for clinicians 61, 69-90 (2011); published online EpubMar-Apr (10.3322/caac.20107).
- Kalyanaraman, V. Darley-Usmar, K. J. Davies, P. A. Dennery, H. J. Forman, M. B. Grisham, G. E. Mann, K. Moore, L. J. Roberts, 2nd, H. Ischiropoulos, Measuring reactive oxygen and nitrogen species with fluorescent probes: challenges and limitations. Free radical biology & medicine 52, 1-6 (2012); published online EpubJan 1 (10.1016/j.freeradbiomed.2011.09.030).
- Kami, T. Fujimori, H. Sato, M. Sato, H. Yamamoto, Y. Ohashi, N. Sugiyama, Y. Ishihama, H. Onozuka, A. Ochiai, H. Esumi, T. Soga, M. Tomita, Metabolomic profiling of lung and prostate tumor tissues by capillary electrophoresis time-of-flight mass spectrometry. Metabolomics : Official journal of the Metabolomic Society 9, 444-453 (2013); published online EpubApr (10.1007/s11306-012-0452-2).
- Kang R, Zeh H J, Lotze M T, Tang D (2011) The Beclin 1 network regulates autophagy and apoptosis. Cell Death Differ 18(4): 571-580.
- Kelly M P, et al. (2012) Arginine deiminase PEG20 inhibits growth of small cell lung cancers lacking expression of argininosuccinate synthetase. Br J Cancer 106(2): 324-332.
- Kim J W, Dang C (2006) Cancer's molecular sweeth tooth and the Warburg effect. Cancer Res 66(18): 8927-8930.
- Kim R H, Bold R J, Kung H J (2009a) ADI, autophagy and apoptosis: metabolic stress as a therapeutic option for prostate cancer. Autophagy. 5(4): 567-568.
- Kim R H, et al. (2009b) Arginine deiminase as a novel therapy for prostate cancer induces autophagy and caspase-independent apoptosis. Cancer Res 69(2): 700-708.
- Klionsky D J et al (2012) Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy 8(4): 445-544.
- Kobayashi E, et al. (2010) Reduced argininosuccinate synthetase is a predictive biomarker for the development of pulmonary metastasis in patients with osteosarcoma. Mol Cancer Ther 9(3): 535-544.
- Kvam E, Goldfarb D S (2007) Nucleus-vacuole junctions and piecemeal microautophagy of the nucleus in S. cerevisiae. Autophagy 3(2):85-92.
- Levine, G. Kroemer, Autophagy in the pathogenesis of disease. Cell 132, 27-42 (2008); published online EpubJan 11 (S0092-8674(07)01685-6 [pii] 10.1016/j.ce11.2007.12.018).
- Lin T C, et al. (2012) Autophagy: resetting glutamine-dependent metabolism and oxygen consumption. Autophagy 8(10): 1477-1493.
- Lind, Arginine and cancer. J Nutr 134, 2837S-2841S; discussion 2853S (2004); published online EpubOct (134/10/2837S [pii]).
- Locasale, A. R. Grassian, T. Melman, C. A. Lyssiotis, K. R. Mattaini, A. J. Bass, G. Heffron, C. M. Metallo, T. Muranen, H. Sharfi, A. T. Sasaki, D. Anastasiou, E. Mullarky, N. I. Vokes, M. Sasaki, R. Beroukhim, G. Stephanopoulos, A. H. Ligon, M. Meyerson, A. L. Richardson, L. Chin, G. Wagner, J. M. Asara, J. S. Brugge, L. C. Cantley, M. G. Vander Heiden, Phosphoglycerate dehydrogenase diverts glycolytic flux and contributes to oncogenesis. Nature genetics 43, 869-874 (2011); published online EpubSep (10.1038/ng.890).
- Matsushita M, et al. (2007) Structure of Atg5.Atg16, a complex essential for autophagy. J Biol Chem 282(9): 9763-9772.
- Mitra, Mitochondrial fission-fusion as an emerging key regulator of cell proliferation and differentiation. BioEssays : news and reviews in molecular, cellular and developmental biology 35, 955-964 (2013); published online EpubNov (10.1002/bies.201300011).
- Mizushima, M. Komatsu, Autophagy: renovation of cells and tissues. Cell 147, 728-741 (2011); published online EpubNov 11 (S0092-8674(11)01276-1 [pii] 10.1016/j.ce11.2011.10.026).
- Morris, Jr., Arginine: beyond protein. The American journal of clinical nutrition 83, 508S-512S (2006).
- Muller H J & Boos J (1998) Use of L-asparaginase in childhood ALL. Critical reviews in oncology/hematology. 28(2): 97-113.
- Narendra, A. Tanaka, D. F. Suen, R. J. Youle, Parkin is recruited selectively to impaired mitochondria and promotes their autophagy. The Journal of cell biology 183, 795-803 (2008); published online EpubDec 1 (10.1083/jcb.200809125).
- Narendra, S. M. Jin, A. Tanaka, D. F. Suen, C. A. Gautier, J. Shen, M. R. Cookson, R. J. Youle, PINK1 is selectively stabilized on impaired mitochondria to activate Parkin. PLoS biology 8, e1000298 (2010); published online EpubJan (10.1371/journal.pbio.1000298).
- Ogawa-Goto K, et al. (2003) Microtubule network facilitates targeting of human cytomegalovirus capsid. J. Virol. 77(15): 8451-8547.
- Park Y E, et al. (2009) Autophagic degradation of nuclear components in mammalian cells. Autophagy 5(6):795-804.
- Perkins, E. Bossy-Wetzel, M. H. Ellisman, New insights into mitochondrial structure during cell death. Experimental neurology 218, 183-192 (2009); published online EpubAug (10.1016/j.expneuro1.2009.05.021).
- Perou, T. Sorlie, M. B. Eisen, M. van de Rijn, S. S. Jeffrey, C. A. Rees, J. R. Pollack, D. T. Ross, H. Johnsen, L. A. Akslen, O. Fluge, A. Pergamenschikov, C. Williams, S. X. Zhu, P. E. Lonning, A. L. Borresen-Dale, P. O. Brown, D. Botstein, Molecular portraits of human breast tumours. Nature 406, 747-752 (2000); published online EpubAug 17 (10.1038/35021093).
- Possemato R, et al. (2011) Functional genomics reveal that the serine synthesis pathway is essential in breast cancer. Nature 476(7360): 346-350.
- Pyo J O, et al. (2005) Essential roles of Atg5 and FADD in autophagic cell death:
dissection of autophagic cell death into vacuole formation and cell death. J Biol Chem 280(21): 20722-20729.
-
- Qiu F, et al. (2014) Arginine starvation impairs mitochondrial respiratory function in ASS1-deficient breast cancer cell. Sci Signal (319):ra31.
- Rardin, J. C. Newman, J. M. Held, M. P. Cusack, D. J. Sorensen, B. Li, B. Schilling, S. D. Mooney, C. R. Kahn, E. Verdin, B. W. Gibson, Label-free quantitative proteomics of the lysine acetylome in mitochondria identifies substrates of SIRT3 in metabolic pathways. Proceedings of the National Academy of Sciences of the United States of America 110, 6601-6606 (2013); published online EpubApr 16 (10.1073/pnas.1302961110).
- Rello-Varona S, et al. (2012) Autophagic removal of micronuclei. Cell Cycle 11(1): 170-176.
- Roberts P, et al. (2003) Piecemeal microautophagy of nucleus in Saccharomyces cerevisiae. Mol Biol Cell 14(1):129-141.
- Roth, W. Y. Chen, Sorting out functions of sirtuins in cancer. Oncogene, (2013); published online EpubApr 22 (10.1038/onc.2013.120).
- Shacka, B. J. Klocke, K. A. Roth, Autophagy, bafilomycin and cell death: the “a-B-cs” of plecomacrolide-induced neuroprotection. Autophagy 2, 228-230 (2006).
- Shchepina L A, et al. (2002) Oligomycin, inhibitor of the F0 part of H+-ATP-synthase suppresses the TNF-induced apoptosis. Oncogene. 21(53): 8149-8157.
- Shvets E, Fass E, Elazar Z (2008) Utilizing flow cytometry to monitor autophagy in living mammalian cells. Autophagy 4(5): 621-628.
- Society, Cancer Facts &
FIGS. 2013 . American Cancer Society, (2013). - Sorlie, C. M. Perou, R. Tibshirani, T. Aas, S. Geisler, H. Johnsen, T. Hastie, M. B. Eisen, M. van de Rijn, S. S. Jeffrey, T. Thorsen, H. Quist, J. C. Matese, P. O. Brown, D. Botstein, P. E. Lonning, A. L. Borresen-Dale, Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proceedings of the National Academy of Sciences of the United States of America 98, 10869-10874 (2001); published online EpubSep 11 (10.1073/pnas.191367098).
- Syed N, et al. (2013) Epigenetic status of argininosuccinate synthetase and argininosuccinate lyase modulates autophagy and cell death in glioblastoma. Cell Death Dis 4:e458.
- Szlosarek, A. Klabatsa, A. Pallaska, M. Sheaff, P. Smith, T. Crook, M. J. Grimshaw, J. P. Steele, R. M. Rudd, F. R. Balkwill, D. A. Fennell, In vivo loss of expression of argininosuccinate synthetase in malignant pleural mesothelioma is a biomarker for susceptibility to arginine depletion. Clinical cancer research : an official journal of the American Association for Cancer Research 12, 7126-7131 (2006); published online EpubDec 1 (10.1158/1078-0432.CCR-06-1101).
- Takaku, M. Takase, S. Abe, H. Hayashi, K. Miyazaki, In vivo anti-tumor activity of arginine deiminase purified from Mycoplasma arginini. International journal of cancer. Journal international du cancer 51, 244-249 (1992).
- Tanida, T. Ueno, E. Kominami, LC3 and Autophagy. Methods in molecular biology 445, 77-88 (2008)10.1007/978-1-59745-157-4_4).
- Tanida, T. Ueno, E. Kominami, LC3 conjugation system in mammalian autophagy. The international journal of biochemistry & cell biology 36, 2503-2518 (2004); published online EpubDec (10.1016/j.bioce1.2004.05.009).
- Tolkovsky, Mitophagy. Biochimica et biophysica acta 1793, 1508-1515 (2009); published online EpubSep (10.1016/j.bbamcr.2009.03.002).
- Trachootham, J. Alexandre, P. Huang, Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach? Nature reviews. Drug discovery 8, 579-591 (2009); published online EpubJul (10.1038/nrd2803).
- Tsai, I. Aiba, S. Y. Lee, L. Feun, N. Savaraj, M. T. Kuo, Resistance to arginine deiminase treatment in melanoma cells is associated with induced argininosuccinate synthetase expression involving c-Myc/HIF-1alpha/Sp4. Molecular cancer therapeutics 8, 3223-3233 (2009); published online EpubDec (10.1158/1535-7163. MCT-09-0794).
- van de Vijver, Y. D. He, L. J. van't Veer, H. Dai, A. A. Hart, D. W. Voskuil, G. J. Schreiber, J. L. Peterse, C. Roberts, M. J. Marton, M. Parrish, D. Atsma, A. Witteveen, A. Glas, L. Delahaye, T. van der Velde, H. Bartelink, S. Rodenhuis, E. T. Rutgers, S. H. Friend, R. Bernards, A gene-expression signature as a predictor of survival in breast cancer. The New England journal of medicine 347, 1999-2009 (2002); published online EpubDec 19 (10.1056/NEJMoa021967).
- Vander Heiden M G, Cantley L C, Thompson C G (2009) Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science 324(5930): 1029.
- Vargas J D, Hatch E M, Anderson D J, Hetzer M W (2012) Transient nuclear envelope rupturing during interphase in human cancer cells. Nucleus 3(1):88-100.
- Vincow, G. Merrihew, R. E. Thomas, N. J. Shulman, R. P. Beyer, M. J. Maccoss, L. J. Pallanck, The PINK1-Parkin pathway promotes both mitophagy and selective respiratory chain turnover in vivo. Proceedings of the National Academy of Sciences of the United States of America 110, 6400-6405 (2013); published online EpubApr 16 (10.1073/pnas.1221132110).
- Wang, X. Liu, A. Y. Li, L. Chen, L. Lai, H. H. Lin, S. Hu, L. Yao, J. Peng, S. Loera, L. Xue, B. Zhou, L. Zhou, S. Zheng, P. Chu, S. Zhang, D. K. Ann, Y. Yen, Overexpression of HMGA2 promotes metastasis and impacts survival of colorectal cancers. Clinical cancer research: an official journal of the American Association for Cancer Research 17, 2570-2580 (2011); published online EpubApr 15 (10.1158/1078-0432.CCR-10-2542).
- Warburg, F. Wind, E. Negelein, The Metabolism of Tumors in the Body. The Journal of general physiology 8, 519-530 (1927).
- Warburg, On respiratory impairment in cancer cells. Science (New York, N.Y. 124, 269-270 (1956).
- Westermann, Mitochondrial fusion and fission in cell life and death. Nature reviews. Molecular cell biology 11, 872-884 (2010); published online EpubDec (10.1038/nrm3013).
- Wetzler M, et al. (2007) Effective asparagine depletion with pegylated asparaginase results in improved outcomes in adult acute lymphoblastic leukemia: Cancer and Leukemia Group Study 9511. Blood 109(10): 4164-4167.
- Wheatley D N & Campbell E (2003) Arginine deprivation, growth inhibition and tumour cell death: 3. Deficient utilisation of citrulline by malignant cells. Br J Cancer 89(3): 573-576.
- Wise D R & Thompson C B (2010) Glutamine addiction: a new therapeutic target in cancer. Trends in biochemical sciences 35(8): 427-433.
- Wu, S. M. Morris, Jr., Arginine metabolism: nitric oxide and beyond. The Biochemical journal 336 (Pt 1), 1-17 (1998).
- Wu, Y. F. Liang, Y. C. Chang, H. H. Yo, M. F. Wei, L. J. Shen, RNA interference of argininosuccinate synthetase restores sensitivity to recombinant arginine deiminase (rADI) in resistant cancer cells. Journal of biomedical science 18, 25 (2011)10.1186/1423-0127-18-25).
- Yang, S. N. Lu, Y. Chao, I. S. Sheen, C. C. Lin, T. E. Wang, S. C. Chen, J. H. Wang, L. Y. Liao, J. A. Thomson, J. Wang-Peng, P. J. Chen, L. T. Chen, A randomised phase II study of pegylated arginine deiminase (ADI-PEG 20) in Asian advanced hepatocellular carcinoma patients. Br J Cancer 103, 954-960 (2010); published online EpubSep 28 (10.1038/sj.bjc.6605856).
- Yoon, Y. J. Shim, E. H. Kim, J. H. Lee, N. H. Won, J. H. Kim, I. S. Park, D. K. Yoon, B. H. Min, Renal cell carcinoma does not express argininosuccinate synthetase and is highly sensitive to arginine deprivation via arginine deiminase. International journal of cancer. Journal international du cancer 120, 897-905 (2007); published online EpubFeb 15 (10.1002/ijc.22322).
- Youle, A. M. van der Bliek, Mitochondrial fission, fusion, and stress. Science (New York, N.Y. 337, 1062-1065 (2012); published online EpubAug 31 (10.1126/science.1219855).
- Youle, D. P. Narendra, Mechanisms of mitophagy. Nature reviews. Molecular cell biology 12, 9-14 (2011); published online EpubJan (10.1038/nrm3028).
- Yue Z, Jin S, Yang C, Levine A J, Heintz N (2003) Beclin1, an autophagy gene essential for early embryonic development, is a haploinsufficient tumor suppressor. Proc Natl Acad Sci U.S.A. 100(25): 15077-15082.
Claims
1. A method for killing one or more argininosuccinate synthetase 1 (ASS1)-deficient breast cancer cells, prostate cancer cells, pancreas cancer cells, or urinary bladder cancer cells comprising contacting the one or more ASS1-deficient breast cancer cells, prostate cancer cells, pancreas cancer cells, or urinary bladder cancer cells with an effective amount of an arginine-depleting agent, wherein the arginine depleting agent is selected from the group consisting of arginase I, arginase II, a recombinant arginase I or II, a pegylated arginase I or II, arginine deiminase (ADI), a recombinant ADI (rADI), a pegylated ADI, or a recombinant pegylated ADI.
2. The method of claim 1, wherein said arginine-depleting agent is ADI-PEG20.
3. The method of claim 1, wherein the one or more ASS1-deficient breast cancer cells, prostate cancer cells, pancreas cancer cells, or urinary bladder cancer cells are part of a solid tumor.
4. The method of claim 3, wherein contacting the one or more ASS1-deficient breast cancer cells, prostate cancer cells, pancreas cancer cells, or urinary bladder cancer cells causes regression of the solid tumor.
5. The method of claim 1, wherein arginine-depleting agent is part of a pharmaceutical composition.
6. A method for treating an arginine-auxotrophic breast cancer, prostate cancer, pancreas cancer, or urinary bladder cancer in a subject com prising
- administering a therapeutically effective amount of a pharmaceutical composition to the subject, wherein the pharmaceutical composition comprises an arginine-depleting agent and a carrier, and wherein the arginine depleting agent is selected from the group consisting of arginase I, arginase II, a recombinant arginase I or II, a pegylated arginase I or II, arginine deiminase (ADI), a recombinant ADI (rADI), a pegylated ADI, or a recombinant pegylated ADI.
7. The method of claim 6, wherein the subject is diagnosed with an arginine-auxotrophic breast cancer, prostate cancer, pancreas cancer, or urinary bladder cancer by detecting a low level of ASS1 expression in a tumor tissue sample obtained from the subject.
8. The method of claim 6, wherein the arginine-depleting agent is ADI-PEG20.
9. The method of claim 6, wherein the method further comprises administering a therapeutically effective amount of an additional anti-cancer treatment in combination with the pharmaceutical composition.
10. The method of claim 9, wherein the additional anti-cancer treatment is doxorubicin.
11. The method of claim 9, wherein the additional anti-cancer treatment is a doxorubicin analog.
12. The method of claim 11, wherein the doxorubicin analog is selected from N-(5,5-Diacetoxypent-1-yl)doxorubicin (1 b), 4′-epidoxorubicin (epi-Dx), 4′-deoxy-doxorubicin (deoxy-Dx), 4′-O′methyldoxorubicin (O-Me-Dx), or N-(trifluoroacetyl) doxorubicin (FDOX).
13. A method for optimizing treatment of breast cancer, prostate cancer, pancreas cancer, or urinary bladder cancer in a subject comprising
- detecting an expression level of ASS1 in a tumor tissue sample from the subject;
- identifying the subject as a responsive subject when the expression level of ASS1 is at or below a low level of ASS1; and
- administering a therapeutically effective amount of a pharmaceutical composition to the responsive subject, wherein the pharmaceutical composition comprises an arginine-depleting agent and a carrier, and wherein the arginine depleting agent is selected from the group consisting of arginase I, arginase II, a recombinant arginase I or II, a pegylated arginase I or II, arginine deiminase (ADI), a recombinant ADI (rADI), a pegylated ADI, or a recombinant pegylated ADI.
14. The method of claim 13, wherein the arginine-depleting agent is ADI-PEG20.
15. The method of claim 13, wherein the method further comprises administering a therapeutically effective amount of an additional anti-cancer treatment in combination with the pharmaceutical composition.
16. The method of claim 15, wherein the additional anti-cancer treatment is doxorubicin.
17. The method of claim 15, wherein the additional anti-cancer treatment is a doxorubicin analog.
18. The method of claim 17, wherein the doxorubicin analog is selected from N-(5,5-Diacetoxypent-1-yl)doxorubicin (1b), 4′-epidoxorubicin (epi-Dx), 4′-deoxy-doxorubicin (deoxy-Dx), 4′-O′methyldoxorubicin (O-Me-Dx), or N-(trifluoroacetyl) doxorubicin (FDOX).
Type: Application
Filed: Jan 20, 2022
Publication Date: Jul 7, 2022
Applicant: CITY OF HOPE (Duarte, CA)
Inventors: David K. ANN (Arcadia, CA), Yun-Ru CHEN (Duarte, CA), Fuming QIU (Duarte, CA)
Application Number: 17/580,241
