Suppr超能文献

哥伦比亚子宫内膜癌分子诊断共识。

Colombian consensus for the molecular diagnosis of endometrial cancer.

机构信息

Centro de tratamiento e investigación sobre el Cáncer Luis Carlos Sarmiento (CTIC), Bogotá, Colombia.

Centro de Investigaciones Clínica San Diego-CIOSAD, Bogotá, Colombia. Centro Internacional de Alta Tecnología (CLINALTEC), Ibagué, Colombia.

出版信息

Rev Colomb Obstet Ginecol. 2024 Jun 17;75(1):4060. doi: 10.18597/rcog.4060.

Abstract

Objective: The Cancer Genome Atlas research program (TCGA) developed the molecular classification for endometrial cancer with prognostic and therapeutic utility, which was replaced by the ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) classification by consensus and international guidelines due to its high cost. This article aims to present national recommendations from an expert consensus that allows unification and implementation of the molecular classification for women with endometrial cancer nationwide, with a rational use of resources and technology. Methods: Consensus of 36 experts in clinical oncology, oncological gynecology, pathology, and genetics, with clinical practice in the national territory. The leader group performed a literature review and structuring of questions rated 1 to 9 points. A modified nominal group technique was used. There was a face-to-face meeting with master presentations, deliberative dialogue, and Google Forms (Google LLC, Mountain View, CA, USA) questionnaire voting with analysis and discussion of responses. The non-consensual responses led to a second round of voting. The final manuscript was finally prepared and revised. Results: Seven recommendations were formulated integrating the panelist responses based on evidence, but adjusted to the Colombian context and reality. Recommendation 1. The molecular classification is recommended in all the endometrial cancers using the immunohistochemistry markers as subrogated results from the molecular profile initially proposed in the TCGA classification. Recommendation 2. The sequential test strategy is recommended, starting with the immunohistochemistry markers (p53, MLH1, MSH 2, MSH6, PMS2) simultaneously in all the patients, defining to request POLE (DNA polymerase epsilon) (if available) according to the risk classification based on the surgical piece. Recommendation 3. It is recommended, that the gynecologist oncologist should be the one to request the POLE (if available) according to the final pathology report. This test must be requested for all endometrial cancers stage I-II, except in low risk (stage IA low grade endometrioid histology without linfovascular invasion normal p53) and, stages III-IV without residual disease, without affecting the request of subrogated immunohistochemistry molecular markers upon histology. The consensus proposes that the POLE is requested after the immunohistochemistry and according to the categories in the risk classification established by the 2020 ESGO/ESTRO/ESP guidelines. Recommendation 4. It is recommended to perform immunohistochemistry for hormonal receptors for all women with endometrial cancer and the HER2 in patients with p53abn, simultaneously with the others immunohistochemistry markers. Recommendation 5. It is recommended to perform the immunohistochemistry markers (p53, MLH1, MSH2, MSH6 y PMS2) in an initial endometrial biopsy or curettage when the specimen is adequate and available. In case the initial immunohistochemistry is inconclusive, or there are histological discrepancies between the initial and definitive pathology, it is recommended to repeat the molecular profile in the surgical pathology. The immunohistochemistry markers must be reported in the pathology report according to the CAP (College of American Pathologists) recommendations, independently of the type of sample. Recommendation 6. It is recommended to perform MLH1 promoter methylation testing in patients who exhibit loss of expression of MLH1 in immunohistochemistry whether it is accompanied or not with loss of expression of PMS2. All the patients with deficient MMR (mismatch repair), should be sent for genetic counseling to rule out Lynch syndrome. Recommendation 7. It is recommended to consider the molecular classification in addition to the classical histopathological criteria when making adjuvant judgments, as incorporated by the classification of prognostic groups of the 2020 ESGO/ESTRO/ESP guidelines. Conclusions: It is necessary to implement the molecular classification of endometrial cancer in clinical practice in accordance to the Colombian context, due to its prognostic and probably predictive value. This will enable the characterization of the Colombian population in order to offer individualized guided treatments. This is an academic and nonregulatory document.

摘要

目的

癌症基因组图谱研究计划(TCGA)开发了具有预后和治疗效用的子宫内膜癌分子分类,由于成本高,已被共识和国际指南推荐的 ProMisE(子宫内膜癌主动分子风险分类器)分类所取代。本文旨在介绍来自专家共识的国家建议,这些建议允许在全国范围内统一和实施子宫内膜癌的分子分类,合理利用资源和技术。

方法

36 名临床肿瘤学、肿瘤妇科、病理学和遗传学专家参与了共识,这些专家在国家范围内具有临床实践经验。领导小组进行了文献回顾和问题结构,问题评分为 1 到 9 分。采用改良的名义小组技术。进行了一次面对面的会议,进行了大师级演讲、审议性对话以及使用 Google 表格(Google LLC,山景城,CA,美国)进行问卷调查投票,并对投票结果进行了分析和讨论。有分歧的答复导致了第二轮投票。最终的手稿最终编写和修订。

结果

根据证据整合了专家组的七个建议,但根据哥伦比亚的情况和现实进行了调整。

建议 1. 推荐在所有子宫内膜癌中使用免疫组织化学标志物进行分子分类,替代最初在 TCGA 分类中提出的分子谱。

建议 2. 建议采用序贯检测策略,从所有患者的免疫组织化学标志物(p53、MLH1、MSH2、MSH6、PMS2)同时开始,根据基于手术标本的风险分类,定义请求 POLE(DNA 聚合酶 epsilon)(如果可用)。

建议 3. 建议妇科肿瘤医生根据最终病理报告请求 POLE(如果可用)。所有 I 期-II 期子宫内膜癌(低风险[IA 级低分化子宫内膜样癌,无血管侵犯,正常 p53]和无残留疾病的 III 期-IV 期除外),并且,不影响根据 2020 年 ESGO/ESTRO/ESP 指南建立的风险分类请求替代免疫组织化学分子标志物,应请求 POLE。共识建议在进行免疫组织化学后根据 2020 年 ESGO/ESTRO/ESP 指南建立的风险分类请求 POLE。

建议 4. 建议对所有患有子宫内膜癌的妇女进行激素受体的免疫组织化学检查,并对 p53abn 患者同时进行 HER2 检查。

建议 5. 建议在初始子宫内膜活检或刮宫时进行免疫组织化学标志物(p53、MLH1、MSH2、MSH6 和 PMS2)检测,如果标本充足且可用。如果初始免疫组织化学不确定,或者初始和最终病理之间存在组织学差异,则建议在手术病理中重复分子谱。必须根据 CAP(美国病理学家学院)建议在病理报告中报告免疫组织化学标志物,而与样本类型无关。

建议 6. 建议在 MLH1 免疫组织化学表达缺失的患者中进行 MLH1 启动子甲基化检测,无论是否伴有 PMS2 表达缺失。所有存在错配修复缺陷(MMR)的患者,均应进行遗传咨询以排除 Lynch 综合征。

建议 7. 建议在进行辅助判断时,除了经典的组织病理学标准外,还应考虑分子分类,如 2020 年 ESGO/ESTRO/ESP 指南的预后分组分类所采用的标准。

结论

由于其预后和可能的预测价值,有必要根据哥伦比亚的情况在临床实践中实施子宫内膜癌的分子分类。这将使我们能够对哥伦比亚人群进行特征描述,以便提供个体化的指导治疗。这是一份学术性的、非监管性的文件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77d3/11208073/cf1066d9bd67/2463-0225-rcog-75-01-4060-gf1.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