[Study on the prognostic factors of colorectal cancer after radical resection and on suggested model for prediction].

Objective: To study the factors of colorectal cancer (CRC) after radical resection to provide data predicting the prognosis of the patients.

Methods: 120 cases of CRC were collected in this study. Medical clinical records and 5-year follow-up data were reviewed. Streptavidin-peroxidase immunohistochemical technique was used to detect the expression of p53, C-erbB-2, nm23-H(1) and Ras on formalin-fixed, paraffin embedded sections of CRC from the 120 patients.

Results: Results showed that the rates of positive expression of p53, C-erbB-2, Ras and nm23-H(1) were 62.5% (75/120), 25.8% (31/120), 80.0% (96/120) and 60.8% (73/120) respectively in the CRC tissue. All pathological variables and biological markers were analyzed with Cox regression model (alpha = 0.05). Eight distinguished prognostic factors were identified in the univariate analysis as: macroscopic configuration, histology grade, depth of invasion of intestinal, lymph nodes metastasis, Dukes' classification, p53, Ras and nm23-H(1). The results of multivariate analysis (alpha = 0.05) indicated that the independent prognostic factors were Dukes' classification, p53 and nm23-H(1) (P = 0.000), with relative risk of 3.06, 6.02 and 0.40, respectively. A prognostic model: h(t, x) = h(0)(t)exp (-0.9269X(14) + 1.1197X(10) + 1.7948X(11)) was established. Sensitivity, specificity agreement and reliability of the model and Kappa were 79.1%, 83.0%, 80.8% and 0.62, respectively.

Conclusion: Dukes' classification, p53 and nm23-H(1)seemed to be independent and important prognostic factors. This prognostic model could be used to evaluate the prognosis of patients with CRC by clinicians.