Abstract: The subject invention pertains to a modified MC1R peptide ligand comprising a peptide that is a melanocortin 1 receptor (MC1R) ligand and a functionality or linker, such as a click functionality, for conjugation to a surface or agent. The modified MC1R peptide ligand can be coupled, e.g., via a click reaction with a complementary click functionality attached, to a moiety to form an MC1R-targeted agent. Drugs, contrast agents, polymers, particles, micelles, surfaces of larger structures, or other moieties can be targeted to the MC1R. The subject invention also pertains to a MC1R peptide ligand-micelle complex comprising a peptide that is a melanocortin 1 receptor ligand connected via a click reaction product to a micelle. The micelle is stable in vivo and can target melanoma tumor cells by association of the peptide ligand with the MC1R or the tumor and selectively provide a detectable and/or therapeutic agent (such as an imageable contrast agent and/or anti-cancer agent) selectively to the tumor cell.

Abstract: Two major treatment strategies employed in fighting non-small cell lung cancer (NSCLC) are tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). The choice of strategy is based on heterogeneous biomarkers expressed by the lung tumor tissue. A major challenge for molecular testing of these biomarkers is the insufficiency of biopsy specimens from patients with advanced NSCLC. Disclosed herein is a method for predicting a response to immune-checkpoint blockade immunotherapy.

Abstract: Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Abstract: The subject invention pertains to a modified MC1R peptide ligand comprising a peptide that is a melanocortin 1 receptor (MC1R) ligand and a functionality or linker, such as a click functionality, for conjugation to a surface or agent. The modified MC1R peptide ligand can be coupled, e.g., via a click reaction with a complementary click functionality attached, to a moiety to form an MC1R-targeted agent. Drugs, contrast agents, polymers, particles, micelles, surfaces of larger structures, or other moieties can be targeted to the MC1R. The subject invention also pertains to a MC1R peptide ligand-micelle complex comprising a peptide that is a melanocortin 1 receptor ligand connected via a click reaction product to a micelle. The micelle is stable in vivo and can target melanoma tumor cells by association of the peptide ligand with the MC1R or the tumor and selectively provide a detectable and/or therapeutic agent (such as an imageable contrast agent and/or anti-cancer agent) selectively to the tumor cell.

Abstract: Disclosed is CT or MR contrast agent which comprises a base or carrier scaffold formed of a polyhydroxol compound having a linker to which a Gd-DOTA is covalently bonded. Also disclosed is a method of screening a patient for colon cancer using a CT or MR contrast, which method comprises administering to a patient undergoing screening a compound as above described.

Abstract: Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Abstract: Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.

Abstract: An example method for diagnosing tumors in a subject by performing a quantitative analysis of a radiological image can include identifying a region of interest (ROI) in the radiological image, segmenting the ROI from the radiological image, identifying a tumor object in the segmented ROI and segmenting the tumor object from the segmented ROI. The method can also include extracting a plurality of quantitative features describing the segmented tumor object, and classifying the tumor object based on the extracted quantitative features. The quantitative features can include one or more texture-based features.

Abstract: Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Abstract: The subject invention pertains to a modified MC1R peptide ligand comprising a peptide that is a melanocortin 1 receptor (MC1R) ligand and a functionality or linker, such as a click functionality, for conjugation to a surface or agent. The modified MC1R peptide ligand can be coupled, e.g., via a click reaction with a complementary click functionality attached, to a moiety to form an MC1R-targeted agent. Drugs, contrast agents, polymers, particles, micelles, surfaces of larger structures, or other moieties can be targeted to the MC1R. The subject invention also pertains to a MC1R peptide ligand-micelle complex comprising a peptide that is a melanocortin 1 receptor ligand connected via a click reaction product to a micelle. The micelle is stable in vivo and can target melanoma tumor cells by association of the peptide ligand with the MC1R or the tumor and selectively provide a detectable and/or therapeutic agent (such as an imageable contrast agent and/or anti-cancer agent) selectively to the tumor cell.

Abstract: Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Abstract: An example method for diagnosing tumors in a subject by performing a quantitative analysis of a radiological image can include identifying a region of interest (ROI) in the radiological image, segmenting the ROI from the radiological image, identifying a tumor object in the segmented ROI and segmenting the tumor object from the segmented ROI. The method can also include extracting a plurality of quantitative features describing the segmented tumor object, and classifying the tumor object based on the extracted quantitative features. The quantitative features can include one or more texture-based features.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Abstract: Disclosed are methods for quantitatively predicting the severity of a tumor in a subject. In some embodiments, the methods further comprise selecting a course of therapy for the subject. In some embodiments, the tumor comprises is non-small cell lung cancer.

Abstract: The subject invention pertains to a modified MC1R peptide ligand comprising a peptide that is a melanocortin 1 receptor (MC1R) ligand and a functionality or linker, such as a click functionality, for conjugation to a surface or agent. The modified MC1R peptide ligand can be coupled, e.g., via a click reaction with a complementary click functionality attached, to a moiety to form an MC1R-targeted agent. Drugs, contrast agents, polymers, particles, micelles, surfaces of larger structures, or other moieties can be targeted to the MC1R. The subject invention also pertains to a MC1R peptide ligand-micelle complex comprising a peptide that is a melanocortin 1 receptor ligand connected via a click reaction product to a micelle. The micelle is stable in vivo and can target melanoma tumor cells by association of the peptide ligand with the MC1R or the tumor and selectively provide a detectable and/or therapeutic agent (such as an imageable contrast agent and/or anti-cancer agent) selectively to the tumor cell.

Abstract: A method of treating cancer or inhibiting metastasis in a subject by increasing intratumoral extracellular pH is presented. The method includes administering to the subject a therapeutically effective amount of a buffer having a pKa greater than 6.1. In an advantageous embodiment the pKa of the buffer is about 7.0. Examples of buffers for increasing extracellular pH include NaHCO3, 2-imidazole-1-yl-3-ethoxycarbonylpropionic acid (IEPA), cholamine chloride, N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid (BES), N-Tris(hydroxymethyl)methyl-2-aminoethanesulfonic acid (TES) and 4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic acid (HEPES). The method can further include the step of pretreating with one or more chemotherapeutic agents.

Abstract: 18F labeled IDO1 imaging constructs are constructed for positron emission tomography (PET). Synthetic methodology involves the coupling of a 1-fluoro-2-halo-4-aminobenzene and a 4-mino-N-hydroxy-1,2,5-oxadiazole-3-carboximidoyl chloride wherein at least one of the coupled compounds comprises an 18F. The 18F labeled IDO1 imaging constructs are useful for imaging cancer cells in a patient.

Abstract: An example method for diagnosing tumors in a subject by performing a quantitative analysis of a radiological image can include identifying a region of interest (ROI) in the radiological image, segmenting the ROI from the radiological image, identifying a tumor object in the segmented ROI and segmenting the tumor object from the segmented ROI. The method can also include extracting a plurality of quantitative features describing the segmented tumor object, and classifying the tumor object based on the extracted quantitative features. The quantitative features can include one or more texture-based features.

Abstract: An example method for diagnosing tumors in a subject by performing a quantitative analysis of a radiological image can include identifying a region of interest (ROI) in the radiological image, segmenting the ROI from the radiological image, identifying a tumor object in the segmented ROI and segmenting the tumor object from the segmented ROI. The method can also include extracting a plurality of quantitative features describing the segmented tumor object, and classifying the tumor object based on the extracted quantitative features. The quantitative features can include one or more texture-based features.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.