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Updated: Jun 25, 2026
Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome
Published on: April 2, 2018
Exploring epigenome-proteome interactions underlying post-surgical progression of non-functioning pituitary adenomas
Medha Suman1,2, Tobias Hallén3,4, Terence Garner5
1Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, SU Sahlgrenska, Göteborg, 41345, Sweden. medha.suman@gu.se.
This study reveals distinct epigenetic and protein network differences between progressive and indolent non-functioning pituitary adenomas (NFPAs). These findings offer a new framework for identifying markers to predict tumor progression risk.
Area of Science:
- Endocrinology
- Molecular Biology
- Genomics
Background:
- Non-functioning pituitary adenomas (NFPAs) pose clinical challenges due to invasive growth and frequent post-surgical progression.
- Understanding the molecular drivers of NFPA progression is crucial for risk stratification and treatment.
- Current methods lack reliability in predicting tumor recurrence after surgery.
Purpose of the Study:
- To comprehensively characterize molecular alterations and their interactions in progressive versus indolent NFPAs.
- To identify biological processes driving post-surgical tumor progression.
- To uncover potential network-informed candidate markers for NFPA progression.
Main Methods:
- Integrated analysis of genome-wide DNA methylation and proteomics in 25 progressive and 15 indolent NFPAs.
- Utilized hypernetwork modeling to link CpG sites with differentially expressed proteins.
- Investigated cis-regulatory relationships to assess DNA methylation's direct impact on protein expression.
Main Results:
- Hypernetwork analysis revealed distinct epigenetic-proteomic networks in progressive and indolent NFPAs.
- Progressive NFPAs showed interconnected networks involving DNA replication, transcription, and cytoskeleton organization (e.g., MCM6, HDGFL2, AJM1, SYNE2).
- Indolent NFPAs exhibited broader networks related to protein processing, extracellular matrix, and oxidative stress response (e.g., PSMD6, LAMB2, CISD2).
Conclusions:
- Distinct epigenetic-proteomic regulatory mechanisms underlie NFPA tumor behavior.
- Hypernetwork analysis provides insights beyond direct regulation, identifying key network alterations.
- This integrative approach offers a framework for discovering mechanistically relevant markers for tumor progression.
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