Biological markers predictive of anti-cancer response to...

Chemistry: molecular biology and microbiology – Measuring or testing process involving enzymes or...

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C435S007230

Reexamination Certificate

active

08048621

ABSTRACT:
The present invention provides diagnostic and prognostic methods for predicting the effectiveness of treatment of a cancer patient with an IGF-1R kinase inhibitor. Methods are provided for predicting the sensitivity of tumor cell growth to inhibition by an IGF-1R 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 IGF-1R kinase inhibitors. Improved methods for treating cancer patients with IGF-1R 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 IGF-1R kinase inhibitors. Furthermore, methods for the identification of agents that restore the sensitivity of tumor cells that have undergone EMT to inhibition by IGF-1R kinase inhibitors are also provided. pErk, HER3 and pHER are also demonstrated to be effective biomarkers for predicting sensitivity of tumor cells to IGF-1R kinase inhibitors.

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