Method of Predicting Chemotherapeutic Responsiveness of Cancer

Disclosed is a method of predicting clinical tumor outcome by providing gene expression from a tumor sample. The method utilizes a novel genetic screen to identify genes that contribute to chemotherapeutic responsiveness, using formalin fixed paraffin embedded clinical samples of epithelial cancer, specifically serous ovarian cancer. The method is useful in predicting tumor responsiveness to chemotherapeutics, including alkylating agents, cisplatin, antimetabolites, plant alkaloids, and antitumor antibiotics. A microarray screen showed formalin fixed paraffin embedded samples can identify genes related to chemotherapeutic response with 86% efficiency.

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Patents:
US 20,100,292,087

Inventor(s): LANCASTER JOHNATHAN M [US]

Type of Offer: Licensing



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