Cerebrospinal fluid circulating tumor DNA contributes to the detection and characterization of leptomeningeal metastasis in non-small cell lung cancer

被引:2
|
作者
Miao, Qian [1 ]
Zheng, Xinlong [1 ]
Li, Lifeng [3 ]
Zheng, Xiaobin [1 ]
Zhang, Longfeng [1 ]
Jiang, Kan [1 ]
Wu, Shiwen [1 ]
Wang, Haibo [1 ]
Wu, Biao [1 ]
Xu, Yiquan [1 ]
Zhong, Qiaofeng [1 ]
Zou, Zihua [1 ]
Zhang, Qiuyu [4 ]
Yang, Shanshan [1 ]
Li, Yujing [1 ]
Lin, Gen [1 ,2 ,5 ]
机构
[1] Fujian Med Univ, Fujian Canc Hosp, Clin Oncol Sch, Dept Thorac Oncol, Fuzhou, Peoples R China
[2] Fujian Key Lab Adv Technol Canc Screening & Early, Fuzhou, Peoples R China
[3] Geneplus Beijing Inst, Beijing, Peoples R China
[4] Fujian Med Univ, Inst Immunotherapy, Fuzhou, Peoples R China
[5] Fuzhou Univ, Interdisciplinary Inst Med Engn, Fuzhou, Peoples R China
关键词
Non-small cell lung cancer; Leptomeningeal metastasis; Cerebrospinal fluid; Circulating tumor DNA; NGS; RESISTANCE; CARCINOMATOSIS; NSCLC;
D O I
10.1007/s11060-023-04520-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PurposeCerebrospinal fluid (CSF) has revealed the unique genetic characteristics of leptomeningeal metastasis (LM) from non-small cell lung cancer (NSCLC). However, the research in this area is still very limited.MethodsPatients with LM from NSCLC (n = 80) were retrospectively analyzed. Circulating tumor DNA (ctDNA) in CSF was tested by next-generation sequencing (NGS), with paired extracranial tissue or plasma samples included for comparison. An independent non-LM cohort (n = 100) was also analyzed for comparative purposes. Clinical outcomes were compared with Kaplan-Meier log-rank test and Cox proportional hazards methodologies.ResultsAn overwhelming 93.8% of patients carried druggable mutations in NSCLC LM, with EGFR (78.8%) being the most prevalent. Notably, 4 patients who tested negative for driver genes in extracranial samples surprisingly showed EGFR mutations in their CSF and subsequently benefited from targeted therapy. There was a clear difference in genetic profiles between CSF and extracranial samples, with CSF showing more driver gene detections, increased Copy Number Variations (CNVs), and varied resistance mechanisms among individuals. Abnormalities in cell-cycle regulatory molecules were highly enriched in LM (50.9% vs 31.0%, p = 0.017), and CDKN2A/2B deletions were identified as an independent poor prognostic factor for LM patients, with a significant reduction in median OS (p = 0.013), supported by multivariate analysis (HR 2.63, 95% CI 1.32-5.26, p = 0.006).ConclusionsCSF-based ctDNA analysis is crucial for detecting and characterizing genetic alterations in NSCLC LM. The distinct genetic profiles in CSF and extracranial tissues emphasize the need for personalized treatment approaches.
引用
收藏
页码:517 / 525
页数:9
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