Abstract:
Objective To investigate the correlations of the expression of silent information regulator 2 homolog 1 (SIRT1) and colony-stimulating factor 1 receptor (CSF1R) with the clinical characteristics and prognosis of patients with colon cancer.
Methods Colon cancer tissue specimens and paracancer tissue specimens were collected from 148 patients with colon cancer. The clinical and pathological features of the patients were analyzed. Immunohistochemistry was used to detect the expression of SIRT1 and CSF1R; the Spearman's correlation analysis was employed to assess the correlation between SIRT1 and CSF1R; the Kaplan-Meier analysis was conducted to evaluate the associations of the expression of SIRT1 and CSF1R with patients' prognosis; the multivariate Cox regression analysis was performed to identify prognostic factors in colon cancer patients.
Results Compared with the adjacent tissues, the expression of SIRT1 protein in colon cancer tissues was significantly decreased, and the expression of CSF1R protein was significantly increased (P < 0.05). The expressions of SIRT1 and CSF1R protein were correlated with lymph node metastasis, nerve invasion and invasion depth in patients with colon cancer (P < 0.05). The protein expressions of SIRT1 and CSF1R were negatively correlated (r=-0.536, P < 0.05). The 3-year survival rate of patients with high SIRT1 expression was significantly higher than that of patients with low SIRT1 expression (P < 0.05). The 3-year survival rate of patients with high CSF1R expression was significantly lower than that of patients with low CSF1R expression (P < 0.05). The 3-year survival rate of patients with high SIRT1 expression was significantly higher than that of patients with low SIRT1 expression (P < 0.05).
Conclusion In colon cancer, SIRT1 expression is significantly downregulated, whereas CSF1R expression is upregulated, and both are closely related to the clinical and pathological features such as lymph node metastasis, neural invasion, and tumor infiltration depth. Detection of these biomarkers may have important value in predicting patients' prognosis and survival.