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使用 46 基因下一代测序面板鉴定子宫内膜癌的分子亚型:对连续队列的回顾性研究。

Identification of molecular subtypes for endometrial carcinoma using a 46-gene next-generation sequencing panel: a retrospective study on a consecutive cohort.

机构信息

Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai.

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai; Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai.

出版信息

ESMO Open. 2024 Oct;9(10):103710. doi: 10.1016/j.esmoop.2024.103710. Epub 2024 Sep 16.

Abstract

BACKGROUND

Traditional classification tools for endometrial carcinoma (EC), such as DNA sequencing, immunohistochemistry (IHC), or PCR, are cumbersome and time-consuming. Large next-generation sequencing (NGS) panels have simplified testing but are expensive. In this study, we propose a concise NGS panel as an effectively viable approach for classifying EC.

MATERIALS AND METHODS

We retrospectively enrolled a consecutive EC cohort of hysterectomy with bilateral salpingo-oophorectomy from Fudan University Shanghai Cancer Center between 2020 and 2022. A 46-gene NGS panel was utilized to identify POLE exonuclease domain mutations, microsatellite instability-high (MSI-H), TP53 mutations, and other clinically relevant targets.

RESULTS

Tumor tissue samples from 331 EC patients were evaluated, with 284 (85.8%) cases classified as endometrioid endometrial carcinoma. The median follow-up time was 32.6 months (n = 303), during which 23 patients experienced recurrence or disease progression. Using the concise NGS panel, patients were stratified into four molecular subgroups according to the World Health Organization classification criteria: POLE mut (n = 47; 14.2%), mismatch repair deficiency (dMMR) (n = 79; 23.9%), non-specific molecular profile (n = 148; 44.7%), and abnormal p53 expression (p53 abn) (n = 57; 17.2%). POLE mut displayed the most favorable prognosis, while p53 abn had the worst prognosis (P < 0.001). The concordance between NGS and IHC was 91.8% (269/293) for detecting MMR status and 65.3% (201/308) for detecting p53 status. Patients detected solely by NGS had significantly worse prognosis than those detected solely by IHC, indicating higher accuracy of the NGS panel. With the molecular subtyping information, adjuvant treatment plans for 19.6% of patients could potentially be altered, mainly concentrated in the POLE mut and p53 abn subtypes. This panel also aids targeted therapy and poly (ADP-ribose) polymerase (PARP) inhibitor-related gene mutation detection, as well as auxiliary genetic screening.

CONCLUSION

Our study demonstrates that the concise NGS panel is an effective 'one-stop' strategy for precisely classifying EC with high clinical availability.

摘要

背景

子宫内膜癌(EC)的传统分类工具,如 DNA 测序、免疫组织化学(IHC)或 PCR,繁琐且耗时。大型下一代测序(NGS)面板简化了检测,但价格昂贵。在这项研究中,我们提出了一个简洁的 NGS 面板,作为一种有效的方法来分类 EC。

材料和方法

我们回顾性地纳入了 2020 年至 2022 年复旦大学附属肿瘤医院行子宫切除术和双侧输卵管卵巢切除术的连续 EC 队列。利用 46 基因 NGS 面板鉴定 POLE 核酸外切酶结构域突变、微卫星不稳定高(MSI-H)、TP53 突变和其他临床相关靶点。

结果

对 331 例 EC 患者的肿瘤组织样本进行评估,其中 284 例(85.8%)病例被归类为子宫内膜样子宫内膜癌。中位随访时间为 32.6 个月(n=303),期间 23 例患者复发或疾病进展。使用简洁的 NGS 面板,根据世界卫生组织分类标准,患者被分为四个分子亚组:POLE mut(n=47;14.2%)、错配修复缺陷(dMMR)(n=79;23.9%)、非特异性分子谱(n=148;44.7%)和异常 p53 表达(p53 abn)(n=57;17.2%)。POLE mut 显示出最佳的预后,而 p53 abn 则具有最差的预后(P<0.001)。NGS 与 IHC 检测 MMR 状态的一致性为 91.8%(269/293),检测 p53 状态的一致性为 65.3%(201/308)。仅通过 NGS 检测的患者的预后明显差于仅通过 IHC 检测的患者,表明 NGS 面板的准确性更高。有了分子亚分型信息,19.6%的患者的辅助治疗方案可能会发生改变,主要集中在 POLE mut 和 p53 abn 亚型。该面板还辅助靶向治疗和聚(ADP-核糖)聚合酶(PARP)抑制剂相关基因突变检测以及辅助遗传筛查。

结论

我们的研究表明,简洁的 NGS 面板是一种有效的“一站式”策略,可以精确分类 EC,具有很高的临床可用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84c5/11421329/949fdd09f39a/gr1.jpg

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