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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
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DNA Methylation Profiling Discriminates between Malignant Pleural Mesothelioma and Neoplastic or Reactive Histologic
Luca Bertero1, Luisella Righi2, Giammarco Collemi3
1Pathology Unit, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza University Hospital, Turin, Italy; Department of Neuropathology, Institute of Pathology, University Hospital of Heidelberg, Heidelberg, Germany.
The Journal of Molecular Diagnostics : JMD
|April 22, 2021
Summary
DNA methylation profiling effectively diagnoses malignant pleural mesothelioma (MPM) by distinguishing it from other cancers and reactive conditions. This molecular approach aids in accurate MPM diagnosis, even with challenging cases.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genomics
Background:
- Malignant pleural mesothelioma (MPM) diagnosis is complex due to overlapping features with other neoplasms and reactive conditions.
- DNA methylation analysis is a proven method for tumor diagnostics.
Purpose of the Study:
- To evaluate the efficacy of DNA methylation profiling for diagnosing malignant pleural mesothelioma (MPM).
- To differentiate MPM from a wide range of benign and malignant mimics using molecular signatures.
Main Methods:
- Compared DNA methylation patterns of MPM cohorts with 202 cases of diagnostic mimics.
- Utilized unsupervised hierarchical clustering and t-distributed stochastic neighbor embedding for analysis.
- Inferred copy number variation profiles to identify MPM molecular hallmarks like CDKN2A and NF2 deletions.
Main Results:
- MPM samples showed distinct DNA methylation profiles compared to mimics in both discovery and validation cohorts.
- In silico analysis of The Cancer Genome Atlas (TCGA) data confirmed the findings.
- Identified copy number variations, including CDKN2A and NF2 deletions, as molecular hallmarks.
Conclusions:
- DNA methylation profiling is a highly effective diagnostic tool for malignant pleural mesothelioma.
- The method demonstrates robustness across independent cohorts and in silico validation.
- Caution is recommended for samples with low tumor cell content due to potential impact on methylation profiles.
