PURPOSE: To determine the prognostic value of the central downstream apoptosis effector BAX in relation to its upstream regulator p53 in R0-resected hepatic metastases of colorectal cancer. PATIENTS AND METHODS: Retrospective analysis of 41 patients who underwent potentially curative resection of liver metastases from colarectal cancer was performed. Tumor DNA was screened for p53 mutations by single-stranded conformational polymorphism polymerase chain reaction and for BAX frameshift mutations by fragment length analysis. Protein expression of BAX, p21, and p53 was investigated by immunohistochemistry. RESULTS: Overall median survival was 40.2 months. Tumors with BAX frameshift mutations were considered microsatellite mutator phenotype-positive and were excluded from further prognostic analyses. Patients with high BAX protein expression had a median survival of 53.6 months compared with 35.4 months for patients with low BAX expression (P < .05). The negative prognostic value of low BAX expression was more evident in those patients with wild-type p53 (median survival, 54.0 v 23.3 months for BAX-negative tumors; P < .01). Low BAX expression was an independent negative prognostic marker in multivariate regression analysis for all patients independent of the p53 status (relative risk, 3.03, P = .03), especially for p53 wild-type tumors (relative risk, 8.21; P = .0095). CONCLUSION: We conclude that low BAX expression is an independent negative prognostic marker in patients with hepatic metastases of colorectal cancer. The best survival was seen in patients with an intact p53-to-BAX pathway; ie, wild-type p53- and BAX-positive tumors. Thus, analysis of apoptosis signaling pathways (here, p53 in concert with its downstream death effector, BAX) might yield more prognostic power in future studies as compared with analysis of single genes such as p53 alone.
PURPOSE: To determine the prognostic value of the central downstream apoptosis effector BAX in relation to its upstream regulator p53 in R0-resected hepatic metastases of colorectal cancer. PATIENTS AND METHODS: Retrospective analysis of 41 patients who underwent potentially curative resection of liver metastases from colarectal cancer was performed. Tumor DNA was screened for p53 mutations by single-stranded conformational polymorphism polymerase chain reaction and for BAX frameshift mutations by fragment length analysis. Protein expression of BAX, p21, and p53 was investigated by immunohistochemistry. RESULTS: Overall median survival was 40.2 months. Tumors with BAX frameshift mutations were considered microsatellite mutator phenotype-positive and were excluded from further prognostic analyses. Patients with high BAX protein expression had a median survival of 53.6 months compared with 35.4 months for patients with low BAX expression (P < .05). The negative prognostic value of low BAX expression was more evident in those patients with wild-type p53 (median survival, 54.0 v 23.3 months for BAX-negative tumors; P < .01). Low BAX expression was an independent negative prognostic marker in multivariate regression analysis for all patients independent of the p53 status (relative risk, 3.03, P = .03), especially for p53 wild-type tumors (relative risk, 8.21; P = .0095). CONCLUSION: We conclude that low BAX expression is an independent negative prognostic marker in patients with hepatic metastases of colorectal cancer. The best survival was seen in patients with an intact p53-to-BAX pathway; ie, wild-type p53- and BAX-positive tumors. Thus, analysis of apoptosis signaling pathways (here, p53 in concert with its downstream death effector, BAX) might yield more prognostic power in future studies as compared with analysis of single genes such as p53 alone.
Authors: Venkat R Katkoori; Catalina Suarez-Cuervo; Chandrakumar Shanmugam; Nirag C Jhala; Tom Callens; Ludwine Messiaen; James Posey; Harvey L Bumpers; Sreelatha Meleth; William E Grizzle; Upender Manne Journal: J Gastrointest Oncol Date: 2010-12
Authors: Upender Manne; Chandrakumar Shanmugam; Venkat R Katkoori; Harvey L Bumpers; William E Grizzle Journal: Cancer Biomark Date: 2010 Impact factor: 4.388
Authors: Bernhard Gillissen; Jana Wendt; Antje Richter; Anja Richter; Annika Müer; Tim Overkamp; Nina Gebhardt; Robert Preissner; Claus Belka; Bernd Dörken; Peter T Daniel Journal: J Cell Biol Date: 2010-03-22 Impact factor: 10.539
Authors: Anna Pryczynicz; Mariusz Gryko; Katarzyna Niewiarowska; Dariusz Cepowicz; Marek Ustymowicz; Andrzej Kemona; Katarzyna Guzińska-Ustymowicz Journal: World J Gastroenterol Date: 2014-02-07 Impact factor: 5.742