Immunohistochemical Expression of MMR Proteins with Clinicopathological Correlation in Colorectal Cancer in Egypt

MSH6型 PMS2系统 医学 林奇综合征 MSH2 结直肠癌 免疫组织化学 旁侵犯 DNA错配修复 印戒细胞 MLH1 淋巴血管侵犯 病理 内科学 肿瘤科 腺癌 癌症 相关性 病态的 阶段(地层学) 癌症研究 微卫星不稳定性 转移 生物 微卫星 等位基因 古生物学 基因 生物化学
作者
Nahed A. Soliman,Deaa Fekri Morsia,Noha A. Helmy
出处
期刊:Open Access Macedonian Journal of Medical Sciences [ID Design 2012/DOOEL Skopje]
卷期号:7 (10): 1608-1617 被引量:8
标识
DOI:10.3889/oamjms.2019.357
摘要

BACKGROUND: Microsatellite instability (MSI) is the genetic pathway underlying 15% of sporadic colorectal carcinoma (CRC) and hereditary non-polyposis CRC. MSI-H CRC has a distinct clinicopathological characteristic including excess mucin and signet ring component, proximal colon, Crohn’s like reaction, lymphocytic infiltration, and better survival. AIM: This research aims to screen Egyptian CRC patients for MSI status by IHC testing of expression of the MMR proteins in correlation to its clinicopathological features. MATERIAL AND METHODS: Immunohistochemistry study for mismatch repair proteins (MMR) was done on 115 cases of CRC. Their expressions were assessed and correlated to clinicopathological parameters in an attempt to obtain the most significant predictors of MSI. RESULTS: MSI (low and high) represents 67% of the study cases. The most frequent expression pattern was combined loss of MLH, and PMS2 (38% of MSI) followed by a combined loss of MSH2, and MSH6 (29% of MSI). There was significant correlation of expression pattern of MMR proteins with the laterality, lymphovascular emboli, perineural invasion, grade, T stage, N stage, signet ring component, tumor infiltrating lymphocyte, and peritumoral lesion (0.014, 0.035, 0.012, 0.033, 0.013, 0.000, 0.041, 0.012, and 0.009 respectively). Proximal location (right sided) and lower grade, higher nodal stage, and marked TIL were selected as predictors of MS-H CRC (0.005, 0.031, 0.025, and 0.000 respectively). CONCLUSION: All clinicopathological and histological parameters should be assessed in CRC for the sake of predicting MSI. The optimal approach to MSI evaluation is (IHC) assessment of MMR proteins.
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