PURPOSE: Through the use of molecular markers, it may be possible to identify aggressive tumor phenotypes and tailor therapies to treat them. This approach would be particularly useful for stage II colon cancer. The purpose of this study was to define the prognostic value of epidermal growth factor receptor (EGFR), c-MET, beta-catenin, and p53 protein expression in TNM stage II colon cancer using tissue microarray technology. EXPERIMENTAL DESIGN: In this study, we retrospectively analyzed, resected, and otherwise untreated paraffin-embedded specimens from 134 consecutive patients with Tumor-Node-Metastasis stage II colonic carcinomas for EGFR, c-MET, beta-catenin, and p53 protein expression by immunohistochemistry. RESULTS: Thirty-five percent, 77, and 65% of tumors exhibited strong (+2 and +3 immunopositivity) expression of EGFR, c-MET, and beta-catenin, respectively. Fifty-four percent exhibited nuclear staining for p53 in >10% of the tumor cells. Univariate analysis revealed that increased nuclear p53 expression (P = 0.001), strong membranous EGFR expression (P = 0.04), and lymphovascular invasion (P = 0.01) were significantly related to disease recurrence and that p53 (P = 0.02) and EGFR (P = 0.05) expression were associated with decreased survival. Increased nuclear p53 expression also correlated with the presence of distal metastasis (P = 0.027). No significant association was seen between c-MET expression and prognosis, whereas a strong trend was detected between loss of beta-catenin (P = 0.065) expression and poor outcome. Multivariate analysis indicated that p53 (P = 0.04), EGFR (P = 0.05), and lymphovascular invasion (P = 0.03) were independent predictors of recurrence and that p53 (P = 0.02) and EGFR (P = 0.01) expression were both associated with poor survival. CONCLUSIONS: This retrospective tumor microarray study, restricted to Tumor-Node-Metastasis stage II colon cancer patients who did not undergo adjuvant therapy, supports the use of EGFR and p53 as biological markers, which may assist in predicting disease recurrence and survival.
PURPOSE: Through the use of molecular markers, it may be possible to identify aggressive tumor phenotypes and tailor therapies to treat them. This approach would be particularly useful for stage II colon cancer. The purpose of this study was to define the prognostic value of epidermal growth factor receptor (EGFR), c-MET, beta-catenin, and p53 protein expression in TNMstage II colon cancer using tissue microarray technology. EXPERIMENTAL DESIGN: In this study, we retrospectively analyzed, resected, and otherwise untreated paraffin-embedded specimens from 134 consecutive patients with Tumor-Node-Metastasis stage II colonic carcinomas for EGFR, c-MET, beta-catenin, and p53 protein expression by immunohistochemistry. RESULTS: Thirty-five percent, 77, and 65% of tumors exhibited strong (+2 and +3 immunopositivity) expression of EGFR, c-MET, and beta-catenin, respectively. Fifty-four percent exhibited nuclear staining for p53 in >10% of the tumor cells. Univariate analysis revealed that increased nuclear p53 expression (P = 0.001), strong membranous EGFR expression (P = 0.04), and lymphovascular invasion (P = 0.01) were significantly related to disease recurrence and that p53 (P = 0.02) and EGFR (P = 0.05) expression were associated with decreased survival. Increased nuclear p53 expression also correlated with the presence of distal metastasis (P = 0.027). No significant association was seen between c-MET expression and prognosis, whereas a strong trend was detected between loss of beta-catenin (P = 0.065) expression and poor outcome. Multivariate analysis indicated that p53 (P = 0.04), EGFR (P = 0.05), and lymphovascular invasion (P = 0.03) were independent predictors of recurrence and that p53 (P = 0.02) and EGFR (P = 0.01) expression were both associated with poor survival. CONCLUSIONS: This retrospective tumor microarray study, restricted to Tumor-Node-Metastasis stage II colon cancerpatients who did not undergo adjuvant therapy, supports the use of EGFR and p53 as biological markers, which may assist in predicting disease recurrence and survival.
Authors: Jurriaan B Tuynman; Christianne J Buskens; Kristel Kemper; Fiebo J W ten Kate; G Johan A Offerhaus; Dirk J Richel; J Jan B van Lanschot Journal: Ann Surg Date: 2005-12 Impact factor: 12.969
Authors: Wooin Lee; Abbes Belkhiri; A Craig Lockhart; Nipun Merchant; Hartmut Glaeser; Elizabeth I Harris; M Kay Washington; Elizabeth M Brunt; Alex Zaika; Richard B Kim; Wael El-Rifai Journal: Cancer Res Date: 2008-12-15 Impact factor: 12.701
Authors: R L Rego; N R Foster; T C Smyrk; M Le; M J O'Connell; D J Sargent; H Windschitl; F A Sinicrope Journal: Br J Cancer Date: 2009-12-08 Impact factor: 7.640