4.4 Article

SOX9 expression predicts relapse of stage II colon cancer patients

期刊

HUMAN PATHOLOGY
卷 52, 期 -, 页码 38-46

出版社

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.humpath.2015.12.026

关键词

SOX9 transcription factor; Biomarkers; Colon cancer; Recurrence; Mismatch repair deficiency

资金

  1. Department of Pathology at Herlev University Hospital
  2. Department of Science, Systems and Models at Roskilde University
  3. Familien Spogaards Fund
  4. Thora og Viggo Groves Mindelegat
  5. Direktor Jacob Madsen & Hustru Olga Madsens Fund
  6. Dagmar Marshalls Fund

向作者/读者索取更多资源

The aim of this study was to investigate if the protein expression of sex-determining region y-box 9 (SOX9) in primary tumors could predict relapse of stage II colon cancer patients. One hundred forty-four patients with stage II primary colon cancer were retrospectively enrolled in the study. SOX9 expression was evaluated by immunohistochemistry, and mismatch repair status was assessed by both immunohistochemistry and promoter hypermethylation assay. High SOX9 expression at the invasive front was significantly associated with lower risk of relapse when including the SOX9 expression as a continuous variable (from low to high expression) in univariate (hazard ratio [HR], 0.73; 95% confidence interval [CI], 0.56-0.94; P = .01) and multivariate Cox proportional hazards analyses (HR, 0.75; 95% CI, 0.58-0.96; P = .02), adjusting for mismatch repair deficiency and histopathologic risk factors. Conversely, low SOX9 expression at the invasive front was significantly associated with high risk of relapse, when including SOX9 expression as a dichotomous variable, in univariate (HR, 2.32; 95% CI, 1.14-4.69; P = .02) and multivariate analyses (HR, 2.32; 95% CI, 1.14-4.69; P = .02), adjusting for histopathologic risk factors and mismatch repair deficiency. In conclusion, high levels of SOX9 of primary stage II colon tumors predict low risk of relapse, whereas low levels of SOX9 predict high risk of relapse. SOX9 may have an important value as a biomarker when evaluating risk of relapse for personalized treatment. (C) 2016 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据