METHODS FOR PREDICTING OUTCOME OF BREAST CANCER, AND/OR RISK OF RELAPSE, RESPONSE OR SURVIVAL OF A PATIENT SUFFERING THEREFROM

摘要

The present invention relates to biomarkers allowing predicting breast tumor and solid tumor outcome using hypoxia related genes. More specifically, the present invention relates to a method for predicting the survival of a patient suffering from cancer, said method comprising the steps of (a) measuring the expression of at least five genes selected from the group consisting of GLUTl, PGKl, LDHA, ENOl, CAIX, NHERFl, TPI, AMF/GPI, VEGFA, TGFB3, ENG, LEP, EDNl, MDRl, AK3, MXRl, TGM2, CDHl, MMP2, CKl 9, VIM, CXCR4, UPAR, CATHD, CTGF, C0X2, MET, IGF-2, CCNDl, EPO, NDRGl, BNIP3, NIX, ETSl, PHD2, TWISTl, DECl, SNAH, CEBPA, CITED2, F0X03A, NUR77, BRCAl, PTEN, VHL and ERBB2 in a biological sample of said patient, and (b) analyzing the expression values to generate a risk score of relapse, wherein a risk score superior or equal to three is indicative of high risk of relapse and a risk score inferior or equal to two is indicative of a low risk of relapse. In particular the following genes: EPO, ETSl, ENOl, PGKl, LDHA, TPI and optionally VEGFA were significantly overexpressed in patients with relapse.