ArticleJournal of cancer research and clinical oncology2024
Detection of the DNA methylation of seven genes contribute to the early diagnosis of lung cancer.
Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Diagnostic performance of SHOX2 and RASSF1A gene methylation assays in malignant pleural effusion: A systematic review and meta-analysis.Cancer cytopathology · 2025Pooled it
- Innovative technologies and their clinical prospects for early lung cancer screening.Clinical and experimental medicine · 2025Pooled it
- Review
- The value of an integrated multi-omics model in the diagnosis of benign and malignant pulmonary nodules.Translational cancer research · 2026Article
- Epigenetic profiling of circulating cell-free DNA for early detection and minimal residual disease assessment in lung cancer: a focus on DNA methylation.Frontiers in oncology · 2026Review
- Review
- UHRF1 silencing restrained the malignant phenotype of melanoma cells by inhibiting the HOXA9/HIF-1α axis-mediated glycolysis.European journal of medical research · 2025Article
- Hypermethylation ofCurrent issues in molecular biology · 2025Article
- Recent advances on gene-related DNA methylation in cancer diagnosis, prognosis, and treatment: a clinical perspective.Clinical epigenetics · 2025Review
- Epigenetic Modifications as Novel Biomarkers for Diagnosis, Prognosis, and Therapeutic Targeting in Thyroid, Pancreas, and Lung Neuroendocrine Tumors.Journal of clinical medicine · 2025Review
- Epigenetic modifications in early stage lung cancer: pathogenesis, biomarkers, and early diagnosis.MedComm · 2025Review
- Blood-based biomarkers derived from tumor-informed DNA methylation analysis for lung adenocarcinoma.Heliyon · 2025Article
- DNA Methylation in Lung Cancer: Predictive Biomarkers for Effective Immunotherapy.International journal of general medicine · 2025Review
- Discrimination of Lung Cancer and Benign Lung Diseases Using BALF Exosome DNA Methylation Profile.Cancers · 2024Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow-dose Computed Tomography (CT) is used for the detection of pulmonary nodules, but the ambiguous risk evaluation causes overdiagnosis. Here, we explored the significance of the DNA methylation of 7 genes including TAC1, CDO1, HOXA9, ZFP42, SOX17, RASSF1A and SHOX2 in the blood cfDNA samples in distinguishing lung cancer from benign nodules and healthy individuals.
methodA total of 149 lung cancer patients [72 mass and 77 ground-glass nodules (GGNs)], 5 benign and 48 healthy individuals were tested and analyzed in this study. The lasso-logistic regression model was built for distinguishing cancer and control/healthy individuals or IA lung cancer and non-IA lung cancer cases.
resultsThe positive rates of methylation of 7 genes were higher in the cancer group as compared with the healthy group. We constructed a model using age, sex and the ΔCt value of 7 gene methylation to distinguish lung cancer from benign and healthy individuals. The sensitivity, specificity and AUC (area under the curve) were 86.7%, 81.4% and 0.891, respectively. Also, we assessed the significance of 7 gene methylation together with patients' age and sex in distinguishing of GGNs type from the mass type. The sensitivity, specificity and AUC were 77.1%, 65.8% and 0.753, respectively. Furthermore, the methylation positive rates of CDO1 and SHOX2 were different between I-IV stages of lung cancer. Specifically, the positive rate of CDO1 methylation was higher in the non-IA group as compared with the IA group.
conclusionCollectively, this study reveals that the methylation of 7 genes has a big significance in the diagnosis of lung cancer with high sensitivity and specificity. Also, the 7 genes present with certain significance in distinguishing the GGN type lung cancer, as well as different stages.
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