Abstract: The present invention provides methods for predicting or modeling a chemotherapy outcome for a given patient, to assist physicians in the selection of chemotherapeutic agents for individualized cancer treatment.

Abstract: A server receives a request to upload a file form a user device. The server may generate a unique file ID associated with the file based on the request, and transmit the file ID to the user device. The user device may divide the file to generate multiple slice files and their corresponding slice IDs. From the user device, the server receives the multiple slice files and the slice IDs. Based on the slice IDs, the server may determine storage addresses at which to store the multiple slice files in a distributed storage system using a consistent hash algorithm. The multiple slice files may be stored based on the corresponding storage addresses of the distrusted storage system.

Abstract: The present invention provides methods, systems, and kits for evaluating the sensitivity and/or resistance of tumor specimens to one or a combination of chemotherapeutic agents. Particularly, the invention provides malignant cell gene signatures that are predictive of a tumor's response to candidate chemotherapeutic regimens.

Abstract: The present invention provides methods for predicting or modeling a chemotherapy outcome for a given patient The method produces chemoresponse data, and presents the chemoresponse data in a clinically meaningful context such that the data can be meaningfully interpreted and evaluated in a clinical context The method of the invention involves correlating in vitro chemoresponse results for a particular patient with historical treatment outcomes Where a population of historical outcomes are matched to the patient by one or more clinical variables and such outcomes are matched to a potential treatment by the in vitro efficacy of the agent received, a meaningful simulation of the potential treatment for the patient can be constructed Simulations, such as survival curves, for a plurality of potential treatments may be generated and compared to contrast the estimated outcomes for several potential treatments, thereby providing the information desirable to design an individualized treatment regimen.

Abstract: The present invention provides methods for preparing drug response and/or resistance profiles for breast tumor specimens, or cells derived therefrom. The drug response and/or resistance profiles are useful for determining effective chemotherapeutic agents for treatment of the tumor or cell to thereby individualize patient therapy. In other aspects, the invention provides a method for identifying a pathway or gene expression signature indicative of a breast cancer cell's sensitivity to a chemotherapeutic agent, which is useful for identifying a population response rate, or patient sub-population likely to respond to the drug candidate.

Abstract: The present invention provides methods for preparing a gene expression profile of a breast cancer cell, tumor, or cell line, where the gene expression profile may be evaluated for one or more gene expression signatures indicative of multidrug resistance. The signature may be indicative of resistance to one or more chemotherapeutic agents selected from a Taxol (e.g., Docetaxel or Paclitaxel), an antibiotic (e.g., Doxorubicin or Epirubicin), an antimetabolite (e.g., Fluorouracil and/or Gemcitabine), and an alkylating agent (e.g., Cyclophosphamide). Generally, the gene expression profile contains the level of expression for a plurality of genes listed in FIGS. 3, 4, and/or 5. Gene expression profiles for evaluating multidrug resistance for ER positive and ER negative breast cancers are also provided.

Abstract: The present invention provides methods, systems, and kits for evaluating the sensitivity and/or resistance of tumor specimens to one or a combination of chemotherapeutic agents. Particularly, the invention provides malignant cell gene signatures that are predictive of a tumor's response to candidate chemotherapeutic regimens.