Abstract: The invention provides methods and compositions useful for detecting mutations in c-met in lung cancer cells.

Abstract: The present invention provides diagnostic and prognostic methods for predicting the effectiveness of treatment of a cancer patient with an EGFR kinase inhibitor. Methods are provided for predicting the sensitivity of tumor cell growth to inhibition by an EGFR kinase inhibitor, comprising assessing whether the tumor cell has undergone an epithelial to mesenchymal transition (EMT), by determining the expression level of epithelial and/or mesenchymal biomarkers, wherein tumor cells that have undergone an EMT are substantially less sensitive to inhibition by EGFR kinase inhibitors. Improved methods for treating cancer patients with EGFR kinase inhibitors that incorporate the above methodology are also provided. Additionally, methods are provided for the identification of new biomarkers that are predictive of responsiveness of tumors to EGFR kinase inhibitors.