Chitta, Pitaksin and Barrow, Timothy M and Dawangpa, Atchara and Christiani, David C and Poungvarin, Naravat and Sae-Lee, Chanachai (2025) Blood-based biomarkers derived from tumor-informed DNA methylation analysis for lung adenocarcinoma. Heliyon, 11 (4). e42581-e42581. DOI https://doi.org/10.1016/j.heliyon.2025.e42581
Chitta, Pitaksin and Barrow, Timothy M and Dawangpa, Atchara and Christiani, David C and Poungvarin, Naravat and Sae-Lee, Chanachai (2025) Blood-based biomarkers derived from tumor-informed DNA methylation analysis for lung adenocarcinoma. Heliyon, 11 (4). e42581-e42581. DOI https://doi.org/10.1016/j.heliyon.2025.e42581
Chitta, Pitaksin and Barrow, Timothy M and Dawangpa, Atchara and Christiani, David C and Poungvarin, Naravat and Sae-Lee, Chanachai (2025) Blood-based biomarkers derived from tumor-informed DNA methylation analysis for lung adenocarcinoma. Heliyon, 11 (4). e42581-e42581. DOI https://doi.org/10.1016/j.heliyon.2025.e42581
Abstract
Objective To identify robust markers of lung adenocarcinoma (LUAD) using DNA methylation profiles from blood samples informed by tissue lung adenocarcinoma. Methods This study analyzed 56 LUAD blood samples from patients attending clinic at Siriraj Hospital, Thailand and 51 samples from healthy participants, using 644 tumor and 59 normal tissue methylome datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases for candidate gene identification. We performed comparative analysis to identify DNA methylation (DNAm) changes present in tumors that are also observable in blood, to be taken forward for validation. Results DNAm profiling of lung tumor datasets identified 59,639 differentially methylated positions (DMPs), of which 17,251 exhibited a negative correlation with gene expression. In blood samples, 46,680 DMPs were identified among LUAD patients, which were enriched in pathways associated with the ribosome, spliceosome, cell cycle, ubiquitin mediated proteolysis and nucleocytoplasmic transport. Comparative analysis revealed a two DMP epigenetic signature of matching changes in both tissue and blood. This signature offered high diagnostic performance in distinguishing LUAD from normal lung tissue (AUC: 0.77-0.91) and in blood samples from LUAD patients (AUC:0.92-0.96). Similarly high performance was observed in two independent tissue validation datasets (AUC:0.90-0.92). Conclusions Our novel two DMP signatures offer robust performance in both lung tissue and blood for the identification of LUAD.
Item Type: | Article |
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Uncontrolled Keywords: | DNA methylation; Blood; Tissue; Lung adenocarcinoma; Biomarkers; Molecular epidemiology |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 01 May 2025 15:11 |
Last Modified: | 01 May 2025 15:11 |
URI: | http://repository.essex.ac.uk/id/eprint/40315 |
Available files
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Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0