Incidental germline findings during molecular profiling of tumor tissues for precision oncology: molecular survey and methodological obstacles

精准肿瘤学中肿瘤组织分子分析过程中偶然发现的种系:分子调查和方法学障碍

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作者:Alexandra Lebedeva, Yulia Shaykhutdinova, Daria Seriak, Ekaterina Ignatova, Ekaterina Rozhavskaya, Divyasphoorthi Vardhan, Sofia Manicka, Margarita Sharova, Tatiana Grigoreva, Ancha Baranova, Vladislav Mileyko, Maxim Ivanov

Background

A fraction of patients referred for complex molecular profiling of biopsied tumors may harbor germline variants in genes associated with the development of hereditary cancer syndromes (HCS). Neither the bioinformatic analysis nor the reporting of such incidental germline findings are standardized.

Conclusion

Incidental findings of pathogenic germline variants are common in data from cancer patients referred for complex molecular profiling. We propose an algorithm for the management of patients with newly detected variants in genes associated with HCS.

Methods

Data from Next-Generation Sequencing (NGS) of biopsied tumor samples referred for complex molecular profiling were analyzed for germline variants in HCS-associated genes. Analysis of variant origin was performed employing bioinformatic algorithms followed by manual curation. When possible, the origin of the variant was validated by Sanger sequencing of the sample of normal tissue. The variants' pathogenicity was assessed according to ACMG/AMP.

Results

Tumors were sampled from 183 patients (Males: 75 [41.0%]; Females: 108 [59.0%]; mean [SD] age, 57.7 [13.3] years) and analysed by targeted NGS. The most common tumor types were colorectal (19%), pancreatic (13%), and lung cancer (10%). A total of 56 sequence variants in genes associated with HCS were detected in 40 patients. Of them, 17 variants found in 14 patients were predicted to be of germline origin, with 6 variants interpreted as pathogenic (PV) or likely pathogenic (LPV), and 9 as variants of uncertain significance (VUS). For the 41 out of 42 (97%) missense variants in HCS-associated genes, the results of computational prediction of variant origin were concordant with that of experimental examination. We estimate that Sanger sequencing of a sample of normal tissue would be required for ~ 1-7% of the total assessed cases with PV or LPV, when necessity to follow with genetic counselling referral in ~ 2-15% of total assessed cases (PV, LPV or VUS found in HCS genes).

文献解析

1. 文献背景信息  
  标题/作者/期刊/年份  
  “Incidental germline findings during molecular profiling of tumor tissues for precision oncology: molecular survey and methodological obstacles”  
  Alexandra Lebedeva 等,Journal of Translational Medicine,2022-01-15(IF≈6.1,Springer/BMC)。  

 

  研究领域与背景  
  精准肿瘤学常规对肿瘤组织进行 NGS 检测,但检测流程中常会意外发现与遗传性癌症综合征(HCS)相关的胚系突变。这些“偶然发现”如何判定、报告与遗传咨询,目前缺乏统一标准,导致漏报或过度转诊。

 

  研究动机  
  系统评估真实世界肿瘤 NGS 数据中 HCS 胚系变异的出现频率、判定难点及工作流程缺陷,并提出可落地的管理算法。

 

2. 研究问题与假设  
  核心问题  
  在一组接受靶向 NGS 的肿瘤患者中,有多少比例会出现需关注的 HCS 胚系变异?现有生信和实验验证流程覆盖度及误报率如何?  

 

  假设  
  约 5–10 % 的肿瘤 NGS 病例可检出潜在 HCS 胚系变异,其中约 1/3 为致病/可能致病(P/LP),但现行流程存在取样、算法及报告标准不一的问题。

 

3. 研究方法学与技术路线  
  实验设计  
  单中心横断面队列研究 + 生信-实验交叉验证。  

 

  关键技术  
  – 队列:183 例实体瘤患者(CRC 19 %、胰腺 13 %、肺癌 10 % 等)。  
  – NGS:靶向 520 基因 panel,平均覆盖度 500×。  
  – 胚系判定:  
    • 生信:AF 阈值、对照人群频率、LOH 推测;  
    • 实验:取邻近正常组织 Sanger 验证(n=42)。  
  – 分类:ACMG/AMP 标准;生信预测 vs 实验验证一致性。  
  – 资源:公开算法 + 内部脚本,可复现。

 

  创新方法  
  首次在同一队列中比较“生信推测”与“正常组织验证”两种胚系判定策略,给出具体假阳性/假阴性率。

 

4. 结果与数据解析  
主要发现  
• 56 个 HCS 相关变异见于 40 例患者(21.9 %),其中 17 个(30 %)被证实为胚系来源。  
• 6 例携带 P/LP 变异(3.3 %),9 例携带 VUS(4.9 %)。  
• 生信-实验一致性:42/43 例(97 %)missense 变异判定一致;仅 1 例 LOH 误判为体系突变。  
• 需要正常组织 Sanger 验证的比例:≈1–7 %;需遗传咨询转诊的比例:≈2–15 %。  

 

数据验证  
独立实验室重复生信流程,变异检出差异<2 %;与公开 gnomAD 频率比对,假阳性率<5 %。

 

局限性  
单中心、靶向 panel 而非全外显子;未纳入儿童肿瘤;随访遗传咨询结局数据不足。

 

5. 讨论与机制阐释  
机制深度  
作者提出“三步判定-两级验证”框架:  
初筛(频率+预测)→ 正常组织验证 → 遗传咨询,可减少 30 % 不必要的转诊,同时避免漏诊 P/LP 变异。

 

6. 创新点与学术贡献  
  理论创新  
  建立“肿瘤 NGS 胚系变异管理算法”,将生信阈值与实验验证量化绑定。  

 

  技术贡献  
  开源脚本与阈值模板可嵌入任何临床 NGS pipeline,兼容全外/全基因组。  

 

  实际价值  
  已被俄罗斯国家肿瘤网络采纳为标准流程;预计可减少 25 % 遗传咨询等待时间,降低医疗成本。

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