Suppr超能文献

喀拉拉邦中部100例连续结直肠癌病例的有趣见解:BRAF基因罕见突变与错配修复缺陷(MMR-D)

Intriguing Insights From 100 Consecutive Colorectal Cancer Cases in Mid-Kerala: Sparse BRAF Gene Mutations and Mismatch Repair Deficiency (MMR-D).

作者信息

Das Nisha M, Chirukandath Ravindran, B Veeshma P, Sulaiman Sumin V, Sooraj Aswathi, Gayathry P Soorya, John Jeffy, Maria Joseph Dona, Menon Chitra

机构信息

Pathology, Government Medical College & Hospital, Thrissur, IND.

General Surgery, Government Medical College & Hospital, Thrissur, IND.

出版信息

Cureus. 2024 Jul 9;16(7):e64133. doi: 10.7759/cureus.64133. eCollection 2024 Jul.

Abstract

Colorectal cancer (CRC) is among the most prevalent types of cancer globally. It is well established that the development of CRC primarily results from the sequential activation of oncogenes and the simultaneous inactivation of tumor suppressor genes. It has also been noted that after the initial oncogenic mutation, many subpopulations with different mutational profiles are created, causing heterogeneity among the tumors. This retrospective study analyzed 100 patients diagnosed with CRC through colectomy over an eighteen-month period at a tertiary referral center in mid-Kerala, India. Pathology records and histological slides were reviewed by two pathologists, and clinicopathological data were collected from pathology reports. Immunohistochemical analysis for BRAF mutation and possible microsatellite instability (MSI) (by mismatch repair (MMR) protein study) was conducted on tumor tissue blocks sent to an external center due to the lack of an automated platform at the hospital. The study utilized Roche's Benchmark XT platform for BRAF analysis and assessed MMR protein expression using antibodies for MLH1, MSH2, MSH6, and PMS2. The mean age of patients was 58.36 years, with a male predominance (58.0%). Most tumors were classified as T3 (71.0%, n-71) and T2/T4a (14.0% each, n-14), while nodal involvement included N0 (35.0%, n-35), N1 (26.0%, n-26), N2 (19.0%, n-19), and NX (20.0%, n-20). Histological examination revealed predominantly well-differentiated tumors (78.0%, n-78), with lymphatic invasion noted in 41.0% (n-41) and vascular invasion in 5.0% (n-5) of cases. Left-sided tumors predominated (33.0%, n-33), followed by rectal carcinoma (37.0%, n-37), and right-sided colon cancers (30.0%, n-30). Genetic profiling showed sparse BRAF mutations (1.0%, n-1) and MSI (1.0%, n-1), with some cases exhibiting loss of MMR proteins (MLH1, PMS2, MSH2, and MSH6) by immunohistochemistry (IHC). The study highlights the rarity of BRAF mutations in this cohort and emphasizes the diverse pathological and molecular characteristics observed. The discussion focuses on the implications of these findings, suggesting that CRC in this population exhibits unique clinicopathological features potentially influenced by factors beyond genetic mutations. Further multicentric studies are warranted to comprehensively explore these factors and refine risk stratification and treatment strategies for CRC patients in similar demographics.

摘要

结直肠癌(CRC)是全球最常见的癌症类型之一。众所周知,CRC的发生主要源于癌基因的顺序激活和肿瘤抑制基因的同时失活。还应注意的是,在最初的致癌突变之后,会产生许多具有不同突变谱的亚群,从而导致肿瘤之间的异质性。这项回顾性研究分析了在印度喀拉拉邦中部一家三级转诊中心,在18个月期间通过结肠切除术确诊为CRC的100例患者。两名病理学家对病理记录和组织学切片进行了复查,并从病理报告中收集了临床病理数据。由于医院缺乏自动化平台,对送至外部中心的肿瘤组织块进行了BRAF突变和可能的微卫星不稳定性(MSI)(通过错配修复(MMR)蛋白研究)的免疫组织化学分析。该研究使用罗氏公司的Benchmark XT平台进行BRAF分析,并使用针对MLH1、MSH2、MSH6和PMS2的抗体评估MMR蛋白表达。患者的平均年龄为58.36岁,男性占主导(58.0%)。大多数肿瘤分类为T3(71.0%,n = 71)和T2/T4a(各14.0%,n = 14),而淋巴结受累情况包括N0(35.0%,n = 35)、N1(26.0%,n = 26)、N2(19.0%,n = 19)和NX(20.0%,n = 20)。组织学检查显示主要为高分化肿瘤(78.0%,n = 78),41.0%(n = 41)的病例有淋巴浸润,5.0%(n = 5)的病例有血管浸润。左侧肿瘤占主导(33.0%,n = 33),其次是直肠癌(37.0%,n = 37)和右侧结肠癌(30.0%,n = 30)。基因谱分析显示BRAF突变(1.0%,n = 1)和MSI(1.0%,n = 1)较少,一些病例通过免疫组织化学(IHC)显示MMR蛋白(MLH1、PMS2、MSH2和MSH6)缺失。该研究突出了该队列中BRAF突变的罕见性,并强调了观察到的多样的病理和分子特征。讨论集中在这些发现的意义上,表明该人群中的CRC表现出独特的临床病理特征,可能受到基因突变以外因素的影响。有必要进行进一步的多中心研究,以全面探索这些因素,并完善类似人口统计学特征的CRC患者的风险分层和治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5985/11307242/7ed8c2f7ed63/cureus-0016-00000064133-i01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验