# Mass Spectrometry Quantification of Epigenetic Changes: A Scoping Review for Cancer and Beyond

**Authors:** Rossana Comito, Agnese Mannaioli, Agen Peter Lunghi Msemwa, Francesca Bravi, Carlotta Zunarelli, Eva Negri, Emanuele Porru, Francesco Saverio Violante

PMC · DOI: 10.3390/ijms27010149 · International Journal of Molecular Sciences · 2025-12-23

## TL;DR

This review summarizes how mass spectrometry is used to measure epigenetic changes linked to cancer and other diseases.

## Contribution

The study provides a comprehensive analysis of current mass spectrometry methods for quantifying epigenetic modifications.

## Key findings

- Bottom-up strategies with Orbitrap platforms are commonly used for histone modifications.
- Triple quadrupole mass spectrometers are preferred for DNA methylation analysis.
- Current methods face challenges in validation consistency and combinatorial modification coverage.

## Abstract

Mass spectrometry has become an indispensable tool for the identification and quantification of epigenetic modifications, offering both high sensitivity and structural specificity. The two major classes of epigenetic modifications identified—DNA methylation and histone post-translational modifications—play fundamental roles in cancer development, underscoring the relevance of their precise quantification for understanding tumorigenesis and potential therapeutic targeting. In this scoping review, we included 89 studies that met the inclusion criteria for detailed methodological assessment. Among these, we compared pre-treatment workflows, analytical platforms, and acquisition modes employed to characterize epigenetic modifications in human samples and model systems. Our synthesis highlights the predominance of bottom-up strategies combined with Orbitrap-based platforms and data-dependent acquisition for histone post-translational modifications, whereas triple quadrupole mass spectrometers were predominant for DNA methylation quantification. We critically evaluate current limitations, including heterogeneity in validation reporting, insufficient coverage of combinatorial post-translational modifications, and variability in derivatization efficiency.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** Cancer (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

117 references — full list in the complete paper: https://tomesphere.com/paper/PMC12786237/full.md

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Source: https://tomesphere.com/paper/PMC12786237