Insights into MLH1 Methylation in Endometrial Adenocarcinoma through Pyrosequencing Analysis: A Retrospective Observational Study.
Fábio França-Vieira E SilvaAndrea BalliniVito Carlo Alberto CaponioMário Pérez-SayánsMarina Gándara CortésLaura Isabel Rojo-ÁlvarezAbel García-GarcíaJosé Manuel Suaréz-PeñarandaMarina Di DomenicoMaría Elena Padín-IruegasPublished in: Cancers (2024)
Background : In cancer care, the MLH1 gene is crucial for DNA mismatch repair (MMR), serving as a vital tumor suppressor. Evaluating MLH1 protein expression status, followed by analysis of MLH1 promoter methylation, has become a key diagnostic and prognostic approach. Our study investigates the complex link between MLH1 methylation and prognosis in endometrial adenocarcinoma (EA) patients. Methodology : MLH1 methylation status was accessed by a Pyrosequencing (PSQ) assay. Qualitative positivity for methylation was established if it exceeded the 11% cut-off; as well, a quantitative methylation analysis was conducted to establish correlations with clinicopathological data, relapse-free survival, and disease-free survival. Results: Our study revealed that 33.3% of patients without MLH1 methylation experienced relapses, surpassing the 23.3% in patients with methylation. Furthermore, 16.7% of patients without methylation succumbed to death, with a slightly higher rate of 17.6% in methylated patients. Qualitative comparisons highlighted that the mean methylation rate in patients experiencing relapse was 35.8%, whereas in those without relapse, it was 42.2%. This pattern persisted in disease-specific survival (DSS), where deceased patients exhibited a higher mean methylation level of 49.1% compared to living patients with 38.8%. Conclusions : Our findings emphasize the efficacy of PSQ for evaluating MLH1 methylation. While unmethylation appears to be associated with a higher relapse rate, the survival rate does not seem to be influenced by methylation. Quantitative percentages suggest that elevated MLH1 methylation is linked to relapse and mortality, though a study with a larger sample size would be essential for statistically significant results.
Keyphrases
- free survival
- dna methylation
- genome wide
- end stage renal disease
- ejection fraction
- newly diagnosed
- systematic review
- gene expression
- radiation therapy
- squamous cell carcinoma
- coronary artery disease
- mass spectrometry
- patient reported outcomes
- risk factors
- transcription factor
- single molecule
- patient reported
- cardiovascular events
- rectal cancer