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Prognostic value of circulating tumor DNA using target next-generation sequencing in extensive-stage small-cell lung cancer.
- Source :
-
Lung cancer (Amsterdam, Netherlands) [Lung Cancer] 2023 Apr; Vol. 178, pp. 11-19. Date of Electronic Publication: 2023 Feb 02. - Publication Year :
- 2023
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Abstract
- Background: Chemotherapy remains the mainstay of treatment for small-cell lung cancer (SCLC). Liquid biopsies provide a convenient and non-invasive detection method for monitoring disease progression in patients with SCLC.<br />Methods: We performed next-generation sequencing of 159 plasma samples from 69 patients with extensive-stage (ES)-SCLC. Circulating tumor (ct)DNA levels were quantified in haploid genome equivalents per mL (hGE/mL). MuTect2 was used to detect single nucleotide variants and short insertions/deletions. The "enrichKEGG" function in the "clusterProfiler" R package was used to enrich the mutated genes that only appeared during disease progression.<br />Results: In our cohort, 66 of 69 (95.7%) plasma samples at the time of diagnosis had detectable somatic mutations; TP53 (89%) and RB1(56%) were the most frequent mutations, as well as copy number variations in some common SCLC-related genes such as RB1. Combination ctDNA and tissue testing improved the overall detection rate of actionable mutations from 19.4% to 26.9% compared with that of tissue detection alone. In addition, ctDNA levels changed dynamically during the course of treatment and were significantly associated with decreased progression-free survival. Notably, actionable mutations were detected at the time of diagnosis and during disease progression.<br />Conclusions: Our study revealed a dynamic somatic mutation profile through continuous ctDNA detection and confirmed that ctDNA levels can reflect tumor burden and predict PFS in patients with extensive stage-SCLC. Furthermore, we demonstrated that plasma ctDNA assays can provide real-time information on somatic mutations for potential targeted therapies for SCLC.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)
- Subjects :
- Humans
Prognosis
DNA Copy Number Variations genetics
Biomarkers, Tumor genetics
Disease Progression
High-Throughput Nucleotide Sequencing methods
Mutation
Circulating Tumor DNA genetics
Lung Neoplasms diagnosis
Lung Neoplasms genetics
Lung Neoplasms drug therapy
Small Cell Lung Carcinoma diagnosis
Small Cell Lung Carcinoma genetics
Small Cell Lung Carcinoma pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1872-8332
- Volume :
- 178
- Database :
- MEDLINE
- Journal :
- Lung cancer (Amsterdam, Netherlands)
- Publication Type :
- Academic Journal
- Accession number :
- 36758321
- Full Text :
- https://doi.org/10.1016/j.lungcan.2023.01.015