To Analyze The Rectal Cancer Preoperative Radiosensitivity Related Molecular Markers Retrospectively And Try To Establish Curative Effect Prediction Model

Objective:To investigate the correlation of radio-sensitivity related molecular markers and preoperative radiotherapy in rectal cancer patients, and try to establish a logistic regression model, which can predict the results of the preoperative radiotherapy through the expression levels of the molecular markers.Methods:A retrospective study was carried out, patients with rectal cancer received preoperative radiotherapy were screened,33 in total. Patients’ information which include the serum level of CEA, the immune-histochemical expression levels of VEGF、EGFR、TS、Ki-67and image data (CT or MRI) before radiotherapy, preoperative clinical staging and the postoperative pathologic staging were collected. According to the postoperative pathological remission, the treatment effect include effective (CR+PR) and ineffective (PD+SD) were evaluated. The relationship between the molecular markers and the curative effect of preoperative radiotherapy were analyzed by logistic binary regression analysis via using SPSS v17.0, and a logistic curative effect prediction model was established.Results:As a result of single factor and multiple factors logistic binary regression analysis, CEA、VEGF、Ki-67 were recognized as the interested factors for the radio-sensitivity predicting in patients with rectal cancer that received preoperative radiotherapy. Serum CEA level and the expression of VEGF might associate with radio-resistant and the expression of Ki-67 might associate with better reaction to preoperative radiotherapy.Conclusion:The level of serum CEA, the expression of VEGF and Ki-67 might be the predictors of radio-sensitivity in rectal cancer patients that received preoperative radiotherapy. Based on our research of 33 patients, a molecular markers predictive model for radio-sensitivity in preoperative radiotherapy in rectal cancer is as follow: Log P=1.700-0.276×CEA-0.238×VEGF-0.135×EGFR+1.377×TS+0.080×(Ki67).