Prediction of outcome of advanced cervical cancer to thermoradiotherapy according to expression profiles of 35 genes selected by cDNA microarray analysis.

To identify a set of genes related to thermoradiosensitivity of cervical carcinoma and to establish a predictive method.,A total of 19 patients with cervical cancer (1 with Stage IIIA, 11 with Stage IIIB, 5 with Stage IVA, and 2 with Stage IVB) who underwent definitive thermoradiotherapy between May 1995 and August 2001 were included in this study. We compared the expression profiles of 8 thermoradiosensitive and 11 thermoradioresistant tumors obtained by punch biopsy before treatment using a cDNA microarray consisting of 23,040 human genes.,We selected 35 genes on the basis of a clustering analysis and confirmed the validity of these genes with a cross-validation test. Some of these genes were already known to be associated with apoptosis (BIK, TEGT, SSI-3), hypoxia-inducible genes (HIF1A, CA12), and tumor cell invasion and metastasis (CTSL, CTSB, PLAU, CD44). We developed a "predictive score" system that could clearly separate the thermoradiosensitive group from the thermoradioresistant group.,These results from the treatment program between May 1995 and August 2001 showed that by using gene-expression profiles we can predict the outcome of thermoradiotherapy for advanced cervical carcinoma. A "predictive score" system was developed that could clearly separate the thermoradiosensitive group from the thermoradioresistant group. These results may eventually lead to the achievement of "personalized therapy" for this disease.