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Genome-wide DNA Methylation Differences in Nonfunctioning Pituitary Adenomas With and Without Postsurgical
Tobias Hallén1,2, Gudmundur Johannsson3,4, Rahil Dahlén4
1Department of Neurosurgery, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
The Journal of Clinical Endocrinology and Metabolism
|April 29, 2022
Summary
Epigenetic changes in nonfunctioning pituitary adenomas (NFPAs) can predict tumor progression. DNA methylation patterns identified in this study may help identify patients at risk for recurrence after surgery.
Area of Science:
- Endocrinology
- Oncology
- Epigenetics
Background:
- Nonfunctioning pituitary adenomas (NFPAs) pose a mortality risk due to tumor progression in surgically treated patients.
- Current diagnostic methods lack reliable biomarkers for early detection of NFPA progression.
Purpose of the Study:
- To investigate DNA methylation patterns associated with tumor progression in patients with nonfunctioning pituitary adenomas.
- To identify potential epigenetic biomarkers for predicting NFPA recurrence.
Main Methods:
- A case-controlled study involving patients who underwent surgery for NFPAs with gonadotropinoma characteristics.
- Genome-wide DNA methylation analysis using the Infinium MethylationEPIC BeadChip platform on tumor samples.
- Comparison of methylation profiles between patients with tumor progression requiring reintervention and those with radiologically stable tumors.
Main Results:
- Significant differences in DNA methylation at 605 CpG positions (differentially methylated positions, DMPs) were observed between the groups, mapping to 389 genes.
- NUP93 and LGALS1 showed the highest number of DMPs.
- Specific hypomethylated and hypermethylated DMPs were individually associated with reintervention-free survival, including one in the GABRA1 gene.
Conclusions:
- DNA methylation patterns are linked to postoperative tumor progression in NFPA patients.
- The identified differentially methylated positions may serve as epigenetic signatures for predicting tumor progression.
- This research is a foundational step towards developing predictive epigenetic biomarkers for NFPA management.
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