ArticleMolecular oncology2020
Identification and validation of novel DNA methylation markers for early diagnosis of lung adenocarcinoma.
Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
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- Multifaceted role of T-box transcription factor 4: From embryonic development to disease pathogenesis.Genes & diseases · 2026Review
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- Precise Molecular Subtyping Reveals Heterogeneity of Lung Adenocarcinoma Based on DNA Methylation.Current medicinal chemistry · 2025Article
- Environmental Factor Index (EFI): A Novel Approach to Measure the Strength of Environmental Influence on DNA Methylation in Identical Twins.Epigenomes · 2024Article
- Epigenetics in thyroid cancer: a bibliometric analysis.Endocrine connections · 2024Article
- Pan-precancer and cancer DNA methylation profiles revealed significant tissue specificity of interrupted biological processes in tumorigenesis.Epigenetics · 2023Article
- Article
- Accurate prediction of pan-cancer types using machine learning with minimal number of DNA methylation sites.Journal of molecular cell biology · 2023Article
- Whole-genome DNA methylation and DNA methylation-based biomarkers in lung squamous cell carcinoma.iScience · 2023Article
- Aberrant methylation of dipeptidyl peptidase‑like 6 as a potential prognostic biomarker for lung adenocarcinoma.Oncology letters · 2023Article
- A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator.BMC bioinformatics · 2023Article
- [Advances in the Study of Chemokine-like Factor Superfamily Members in Tumors].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Review
- In lung adenocarcinoma, low expression of the cell surface extracellular nucleotidase CD39 is related to immune infiltration and a poor prognosis.Journal of thoracic disease · 2022Article
- A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation.BMC bioinformatics · 2022Article
- Machine learning-based screening of the diagnostic genes and their relationship with immune-cell infiltration in patients with lung adenocarcinoma.Journal of thoracic disease · 2022Article
- Prognostic Analysis of Lung Adenocarcinoma Based on DNA Methylation Regulatory Factor Clustering.Journal of oncology · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer has the highest mortality of all cancers worldwide. Epigenetic alterations have emerged as potential biomarkers for early diagnosis of various cancer tissue types. To identify methylation markers for early diagnosis of lung adenocarcinoma, we aimed to integrate genome-wide DNA methylation and gene expression data from The Cancer Genome Atlas. To this end, we first examined the global DNA methylation pattern of lung adenocarcinoma and investigated the relationship between DNA methylation subtypes and clinical features. We then extracted differentially methylated and expressed genes, and adopted feature selection techniques to determine the final methylation markers. The performance of the markers in predicting lung adenocarcinoma was evaluated on three independent datasets from Gene Expression Omnibus. Protein levels of marker genes were validated by immunohistochemistry, and their biological function was further verified in vivo. We identified three novel methylation markers in lung adenocarcinoma including cg08032924, cg14823851, and cg19161124, mapping to CMTM2, TBX4, and DPP6, respectively. Validating these results on three independent datasets indicated that the three markers can achieve extremely high sensitivity and specificity in distinguishing lung adenocarcinoma from normal samples. Immunohistochemistry quantification results confirmed that markers are weakly expressed in human lung adenocarcinoma, and CMTM2 decreased tumor growth of mouse Lewis lung carcinoma in vivo. Overall, our study identified three novel methylation markers in lung adenocarcinoma which may contribute toward an improved diagnosis potentially leading to a better outcome for patients with lung adenocarcinoma.
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