ArticleNPJ precision oncology2025
Optimizing the NGS-based discrimination of multiple lung cancers from the perspective of evolution.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Predicting Overall Survival in Patients With Multiple Primary Lung Cancer: Nomogram Development and Validation Study.JMIR cancer · 2026Article
- Utilizing clinical features, genetic mutations, and a 14-gene molecular assay for optimizing the management of multiple primary lung cancer.Translational lung cancer research · 2026Article
- Identification ofOncology research · 2026Article
- Shaping Precision Medicine: The Journey of Sequencing Technologies Across Human Solid Tumors.Biomedicines · 2025Review
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next-generation sequencing (NGS) offers a promising approach for differentiating multiple primary lung cancers (MPLC) from intrapulmonary metastasis (IPM), though panel selection and clonal interpretation remain challenging. Whole-exome sequencing (WES) data from 80 lung cancer samples were utilized to simulate MPLC and IPM, with various sequenced panels constructed through gene subsampling. Two clonal interpretation approaches primarily applied in clinical practice, MoleA (based on shared mutation comparison) and MoleB (based on probability calculation), were subsequently evaluated. ROC analysis highlighted MoleB's superior performance, especially with the NCCNplus panel (AUC = 0.950 ± 0.002) and pancancer MoleA (AUC = 0.792 ± 0.004). In two independent cohorts (WES cohort, N = 42 and non-WES cohort, N = 94), NGS-based methodologies effectively stratified disease-free survival, with NCCNplus MoleB further predicting prognosis. Phylogenetic analysis further revealed evolutionary distinctions between MPLC and IPM, establishing an optimized NGS-based framework for differentiating multiple lung cancers.
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Registered trials
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