ArticleClinical epigenetics2021
Diagnosis of pulmonary nodules by DNA methylation analysis in bronchoalveolar lavage fluids.
Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 50 citations in OpenAlex.
- Comprehensive Liquid Biopsy Approaches for the Clinical Management of Lung Cancer Using Multiple Biological Matrices.International journal of molecular sciences · 2025Review
- Methylation-regulated tumor suppressor geneTranslational cancer research · 2025Article
- An Approach for Differential Diagnosis of Breast Tumors by ctDNA Methylation Sequencing.Cancer medicine · 2025Article
- China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.Signal transduction and targeted therapy · 2025Review
- Establishing predictive models for malignant and inflammatory pulmonary nodules using clinical data and CT imaging features.Quantitative imaging in medicine and surgery · 2025Article
- Minimally invasive biomarkers for triaging lung nodules-challenges and future perspectives.Cancer metastasis reviews · 2025Review
- Article
- Discrimination of Lung Cancer and Benign Lung Diseases Using BALF Exosome DNA Methylation Profile.Cancers · 2024Article
- Blood FOLR3 methylation dysregulations and heterogeneity in non-small lung cancer highlight its strong associations with lung squamous carcinoma.Respiratory research · 2024Article
- Evaluation of a three-gene methylation model for correlating lymph node metastasis in postoperative early gastric cancer adjacent samples.Frontiers in oncology · 2024Article
- Transcription factor LHX9 (LIM Homeobox 9) enhances pyruvate kinase PKM2 activity to induce glycolytic metabolic reprogramming in cancer stem cells, promoting gastric cancer progression.Journal of translational medicine · 2023Article
- An improved Yolov5s based on transformer backbone network for detection and classification of bronchoalveolar lavage cells.Computational and structural biotechnology journal · 2023Article
- Bronchoalveolar Lavage Fluid-Isolated Biomarkers for the Diagnostic and Prognostic Assessment of Lung Cancer.Diagnostics (Basel, Switzerland) · 2022Review
- A novel approach for the non-invasive diagnosis of pulmonary nodules using low-depth whole-genome sequencing of cell-free DNA.Translational lung cancer research · 2022Article
- DNA methylation-based predictors of health: applications and statistical considerations.Nature reviews. Genetics · 2022Review
- Cell Free Methylated Tumor DNA in Bronchial Lavage as an Additional Tool for Diagnosing Lung Cancer-A Systematic Review.Cancers · 2022Review
- A novel DNA methylation signature associated with lymph node metastasis status in early gastric cancer.Clinical epigenetics · 2022Article
- A novel DNA methylation marker to identify lymph node metastasis of colorectal cancer.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
18 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundLung cancer is the leading cause of cancer-related mortality. The alteration of DNA methylation plays a major role in the development of lung cancer. Methylation biomarkers become a possible method for lung cancer diagnosis.
resultsWe identified eleven lung cancer-specific methylation markers (CDO1, GSHR, HOXA11, HOXB4-1, HOXB4-2, HOXB4-3, HOXB4-4, LHX9, MIR196A1, PTGER4-1, and PTGER4-2), which could differentiate benign and malignant pulmonary nodules. The methylation levels of these markers are significantly higher in malignant tissues. In bronchoalveolar lavage fluid (BALF) samples, the methylation signals maintain the same differential trend as in tissues. An optimal 5-marker model for pulmonary nodule diagnosis (malignant vs. benign) was developed from all possible combinations of the eleven markers. In the test set (57 tissue and 71 BALF samples), the area under curve (AUC) value achieves 0.93, and the overall sensitivity is 82% at the specificity of 91%. In an independent validation set (111 BALF samples), the AUC is 0.82 with a specificity of 82% and a sensitivity of 70%.
conclusionsThis model can differentiate pulmonary adenocarcinoma and squamous carcinoma from benign diseases, especially for infection, inflammation, and tuberculosis. The model's performance is not affected by gender, age, smoking history, or the solid components of nodules.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.