Predictors of response of patients to treatment with EGF receptor inhibitors (original) (raw)

2009

Abstract

A method for predicting a probability that a human patient with colorectal cancer queexpresa EGFR present a beneficial response to an EGFR inhibitor using a model of four genes basadoen expression levels AREG, EREG, dusp6 and SLC26A3, comprising: measuring, a obtained tumor patient sample, levels of RNA transcripts or their deexpresion products AREG, EREG, dusp6 and SLC26A3, normalize the levels of RNA transcripts or their expression products, of AREG, EREG, dusp6 ySLC26A3 to obtain standardized levels of AREG, EREG, dusp6 and SLC26A3 expression; and use levels normalized expression of AREG, EREG, dusp6 and SLC26A3 determining laprobabilidad that the patient has a beneficial response to an EGFR inhibitor, wherein levels normalized expression enlarged AREG, EREG and SLC26A3 is correlacionanpositivamente with the likelihood that the patient has a beneficial response to EGFR inhibitor; and wherein the normalized expression level increased dusp6 laprobabilidad is negatively correlated w...

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