Biomarker profiles for predicting outcomes of cancer therapy with erbb3 inhibitors and/or chemotherapies

Abstract

Provided are methods for optimizing therapy of, treating a patient having, or selecting (identifying) patients who will benefit from treatment for, a cancer (e.g., a non-hematological cancer; e.g., a gynecological cancer). The methods comprise determining whether the patient will benefit from treatment with an ErbB3 inhibitor (e.g., an anti-ErbB3 antibody), with or without either a taxane or an aromatase inhibitor, or with a taxane or an aromatase inhibitor in the absence of an ErbB3 inhibitor, based on levels of particular biomarkers and combinations of biomarkers measured in a biological sample obtained from the patient. The methods further comprise optimizing the patient's therapy, selecting the patient for treatment, or treating the patient accordingly. In various aspects the biological samples are sections of a biopsy (e.g., a formalin fixed paraffin embedded biopsy). In other aspects the biomarkers are proteins and/or nucleic acids. In other aspects the biomarkers function in ErbB-mediated signal transduction.