Abstract: Methods for treating breast cancer, specifically cancers resistant to treatment With one or more known breast cancer treatment drugs, and related patient selection strategies for predicting patient response to drug therapy, such strategies including detecting tile presence or absence in a patient of one or more of PIK3CA gene amplification a mutation in PIK3CA, and a decrease in PTEN protein expression, and treating a patient positive for the presence of one or more of same by administering to the subject a pan-ErbB tifrosine kinase inhibitor.

Abstract: Methods for treating breast cancer, specifically cancers resistant to treatment with one or more known breast cancer treatment drugs, and related patient selection strategies for predicting patient response to drug therapy, such strategies including detecting the presence or absence in a patient of one or more of PIK3CA gene amplification, a mutation in PIK3CA, and a decrease in PTEN protein expression, and treating a patient positive for the presence of one or more of same by administering to the subject a pan-ErbB tyrosine kinase inhibitor.

Abstract: Methods for treating breast cancer, specifically cancers resistant to treatment With one or more known breast cancer treatment drugs, and related patient selection strategies for predicting patient response to drug therapy, such strategies including detecting the presence or absence n a patient o one or inure of PIK3CA gene amplification, a mutation in PIK3CA, and a decrease in PTEN protein expression, and treating a patient positive for the presence of one or more of same by administering to the subject a pan-ErbB tyrosine kinase inhibitor.

Abstract: Methods for treating breast cancer, specifically cancers resistant to treatment with one or more known breast cancer treatment drugs, and related patient selection strategies for predicting patient response to drug therapy, such strategies including detecting the presence or absence in a patient of one or more of PIK3CA gene amplification, a mutation in PIK3CA, and a decrease in PTEN protein expression, and treating a patient positive for the presence of one or more of same by administering to the subject a pan-ErbB tyrosine kinase inhibitor.

Abstract: A cut-point in the quantitative measurement of PTEN protein expression that accurately identifies tumors with two inactivated alleles of the PTEN gene. Patients with a normalized PTEN score of PTEN null will be treated with a pan-ErbB tyrosine kinase inhibitor. A normalized PTEN protein expression score is obtained by comparing the tumor PTEN OD expression value with the non-malignant PTEN OD expression value.

Abstract: A cut-point in the quantitative measurement of PTEN protein expression that accurately identifies tumors with two inactivated alleles of the PTEN gene. Patients with a normalized PTEN score of PTEN null will be treated with a pan-ErbB tyrosine kinase inhibitor. A normalized PTEN protein expression score is obtained by comparing the tumor PTEN OD expression value with the non-malignant PTEN OD expression value.

Abstract: The present invention provides methods, systems and equipment for prognosis or evaluation of treatment of solid tumors. Gene markers that are prognostic of solid tumors can be identified according to the present invention. Each gene marker has altered expression patterns in PBMCs of solid tumor patients following initiation of an anti-cancer treatment, and the magnitudes of these alterations are correlated with clinical outcomes of these patients. In one embodiment, a Cox proportional hazards model is used to determine the correlations between clinical outcomes of RCC patients and gene expression changes in PBMCs of these patients during the course of a CCI-779 treatment. Non-limiting examples of genes identified by the Cox model are depicted in Tables 4A3 4B, 5 A and 5B. These genes can be used as surrogate markers for prognosis of RCC. They can also be used as pharmacogenomic indicators for the efficacy of CCI-779 or other anti-cancer drugs.