Department of Thoracic Surgery, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518035, People's Republic of China.
HaploX Biotechnology, 3 Songpingshan Road, Fl 8, Shenzhen, 518057, People's Republic of China.
J Cancer Res Clin Oncol. 2020 Sep;146(9):2359-2367. doi: 10.1007/s00432-020-03227-5. Epub 2020 Apr 24.
Multiple lung lesions found in a single patient at the time of diagnosis often pose a diagnostic dilemma: are these lesions independent primary tumors (IPT) or the result of intrapulmonary metastases (IPM)? While traditional pathological methods sometimes have difficulty distinguishing IPM from IPT, modern molecular profiling based on next-generation sequencing techniques may provide a new strategy.
Sixteen patients with multiple tumors were enrolled in this study. We performed targeted deep sequencing (~ 2000 × coverage) on a total of 40 tumors and matched blood samples. We compared mutational profiles between tumors within each patient and across patients to evaluate if they were genetically related. Computed tomographic images and histological staining were also used to validate tumor relationships.
A total of 125 mutations were identified in 16 patients. Twelve out of fourteen patients whose histological diagnoses favored IPT did not have any shared mutations in their multiple tumors. The other two showed discrepancies: Pt01 had a shared EGFR exon19 deletion in the two lung tumors found, and Pt16 had one common mutation (BRAF) in two out of five lung tumors. Pt14 with lung metastasis from salivary gland adenoid cystic carcinoma had shared mutations; and Pt15 with suspected intrapulmonary metastasis (IPM) had identical mutations between the two tumors. Visualized data can be readily accessed through the website: mlc.opengene.org.
Analysis of overlapping mutations among different tumors assists physicians in distinguishing IPM from IPT. Our findings demonstrate that DNA sequencing can provide additional evidence in clinical practice when pathology is inadequate to make a conclusive diagnosis.
在单一患者的诊断时发现多个肺部病变,通常会带来诊断难题:这些病变是独立的原发性肿瘤(IPT)还是肺内转移(IPM)的结果?虽然传统的病理学方法有时难以区分 IPM 和 IPT,但基于下一代测序技术的现代分子分析可能提供新的策略。
本研究纳入了 16 名有多发性肿瘤的患者。我们对总共 40 个肿瘤和匹配的血液样本进行了靶向深度测序(~2000× 覆盖度)。我们比较了每个患者内和患者间肿瘤之间的突变谱,以评估它们是否在遗传上相关。还使用计算机断层扫描图像和组织学染色来验证肿瘤之间的关系。
在 16 名患者中总共鉴定出 125 个突变。14 名组织学诊断倾向于 IPT 的患者中,有 12 名患者的多个肿瘤没有任何共同突变。另外 2 名患者显示出差异:Pt01 在两个肺部肿瘤中存在共同的 EGFR 外显子 19 缺失,Pt16 在五个肺部肿瘤中的两个肿瘤中存在一个共同突变(BRAF)。肺转移来自涎腺腺样囊性癌的 Pt14 具有共同突变;而疑似肺内转移(IPM)的 Pt15 在两个肿瘤之间具有相同的突变。可视化数据可通过网站 mlc.opengene.org 轻松访问。
分析不同肿瘤之间的重叠突变有助于医生区分 IPM 和 IPT。我们的发现表明,当病理学不足以做出明确诊断时,DNA 测序可以为临床实践提供额外的证据。