Discrimination of p53 immunohistochemistry‐positive tumors by its staining pattern in gastric cancer

Cancer Medicine

Koji Ando²  Eiji Oki²  Hiroshi Saeki²  Zhao Yan²  Yasuo Tsuda²  Gen Hidaka²  Yuta Kasagi²  Hajime Otsu²  Hiroyuki Kawano²  Hiroyuki Kitao¹  Masaru Morita² 

[1] Department of Molecular Oncology, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka City, Fukuoka, Japan;Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan

关键词: Gastric cancer;    immunohistochemistry;    mutation analysis;    p53;    staining pattern;   

DOI  :  10.1002/cam4.346

来源: Wiley

【 摘 要 】

Abstract

Immunohistochemistry staining of p53 is a cheap and simple method to detect aberrant function of p53. However, there are some discrepancies between the result of immunohistochemistry staining and mutation analysis. This study attempted to find a new definition of p53 staining by its staining pattern. Immunohistochemistry staining of p53 and TP53 gene mutation analysis were performed in 148 gastric cancer patients. Also SNP-CGH array analysis was conducted to four cases. Positive staining of p53 was observed in 88 (59.5%) tumors. Tumors with positive p53 staining showed malignant features compared to negative tumors. Mutation of TP53 gene was observed in 29 (19.6%) tumors with higher age and differentiated type. In positive p53 tumors, two types could be distinguished; aberrant type and scattered type. With comparison to TP53 gene mutation analysis, all the scattered type had wild-type TP53 gene (P = 0.0003). SNP-CGH array showed that scattered-type tumors had no change in the structure of chromosome 17. P53-scattered-type staining tumors may reflect a functionally active nonmutated TP53 gene. In interpretation of p53 immunohistochemistry staining, distinguishing p53-positive tumors by their staining pattern may be important in gastric cancer.

【 授权许可】

CC BY   
© 2014 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.