ArticleiScience2024
Lung tumor discrimination by deep neural network model CanDo via DNA methylation in bronchial lavage.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Urinary DNA Methylation Profiling Improves Discrimination of Prostate Cancer Across PSA-Defined Risk Strata.Biochemical genetics · 2026Article
- Advancements in DNA methylation technologies and their application in cancer diagnosis.Epigenetics · 2025Review
- ZC3H12D gene expression exhibits dual effects on the development and progression of lung adenocarcinoma.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
23 authors.
Funding
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Abstract
Bronchoscopic-assisted discrimination of lung tumors presents challenges, especially in cases with contraindications or inaccessible lesions. Through meta-analysis and validation using the HumanMethylation450 database, this study identified methylation markers for molecular discrimination in lung tumors and designed a sequencing panel. DNA samples from 118 bronchial washing fluid (BWF) specimens underwent enrichment via multiplex PCR before targeted methylation sequencing. The Recursive Feature Elimination Cross-Validation and deep neural network algorithm established the CanDo classification model, which incorporated 11 methylation features (including 8 specific to the
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