Microarray-Based Prediction of Tumor Response to Neoadjuvant Radiochemotherapy of Patients With Locally Advanced Rectal Cancer

摘要: Background & Aims: Neoadjuvant chemoradiotherapy has become a standard treatment of locally advanced rectal carcinomas, even though the responsiveness varies from complete response to resistance. The aim study was evaluate capacity gene expression signatures identify responders and nonresponders pretherapeutically. Methods: By using microarray technology we generated profiles 43 biopsy specimens carcinomas. transcription profile then compared with histopathologic used set genes discriminating nonresponders. Results: We identified signature 42 genes, mostly encoding proteins that either play role in nucleus, such as factor ETS2, or are associated transport function, solute carrier SLC35E1, regulation apoptosis, caspase-1. In leave-one-out cross-validation correct classification responder 71%, specificity analysis for nonresponder 86%. applying an additional statistical method 200 successive splittings into training test data sets individual prediction accuracy measure each predicted response. Conclusions: Our shows pretherapeutic carcinomas neoadjuvant is feasible, may represent new valuable practical tool therapeutic stratification.