Accurate Early Detection and EGFR Mutation Status Prediction of Lung Cancer Using Plasma cfDNA Coverage Patterns: A Proof-of-Concept Study.
Biomolecules
; 14(6)2024 Jun 17.
Article
em En
| MEDLINE
| ID: mdl-38927119
ABSTRACT
Lung cancer is a major global health concern with a low survival rate, often due to late-stage diagnosis. Liquid biopsy offers a non-invasive approach to cancer detection and monitoring, utilizing various features of circulating cell-free DNA (cfDNA). In this study, we established two models based on cfDNA coverage patterns at the transcription start sites (TSSs) from 6X whole-genome sequencing an Early Cancer Screening Model and an EGFR mutation status prediction model. The Early Cancer Screening Model showed encouraging prediction ability, especially for early-stage lung cancer. The EGFR mutation status prediction model exhibited high accuracy in distinguishing between EGFR-positive and wild-type cases. Additionally, cfDNA coverage patterns at TSSs also reflect gene expression patterns at the pathway level in lung cancer patients. These findings demonstrate the potential applications of cfDNA coverage patterns at TSSs in early cancer screening and in cancer subtyping.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Detecção Precoce de Câncer
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Receptores ErbB
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Ácidos Nucleicos Livres
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Neoplasias Pulmonares
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Mutação
Limite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Biomolecules
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China