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Extraction of Histones from Clinical Specimens for Epigenetic Profiling by Mass Spectrometry
Published on: November 21, 2025
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Clinical potential of mass spectrometry-based proteogenomics
Bing Zhang1, Jeffrey R Whiteaker2, Andrew N Hoofnagle3,4
1Department of Molecular and Human Genetics, Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Nature Reviews. Clinical Oncology
|November 30, 2018
Summary
Proteogenomics, combining genomic and proteomic data, offers a more complete view of tumor biology than genomics alone. This approach aims to improve patient-treatment matching for better cancer therapy outcomes.
Area of Science:
- Oncology
- Proteomics
- Genomics
Background:
- Personalized oncology relies on targeting specific genetic alterations in cancer.
- Genome-driven treatments improve survival for some patients, but many do not respond.
- Genomic analysis alone may miss crucial tumor information present in the proteome.
Purpose of the Study:
- To discuss the added value of proteogenomics over genome-driven approaches in cancer characterization.
- To summarize efforts in integrating targeted proteomic measurements into clinical settings.
- To enable more successful patient-treatment matching through a comprehensive view of tumor biology.
Main Methods:
- Leveraging both genomic and proteomic data for a complete view of tumor biology.
- Utilizing selected/multiple reaction monitoring (SRM/MRM) mass spectrometry for targeted proteomic measurements.
- Incorporating proteomic data into clinical laboratories for clinical proteogenomics.
Main Results:
- Proteogenomics provides novel information beyond genomic analysis.
- Combining proteomic and genomic data offers a more complete understanding of tumor biology.
- This integrated approach has the potential to improve treatment selection for cancer patients.
Conclusions:
- Proteogenomics enhances cancer characterization by integrating proteomic and genomic insights.
- Targeted proteomic measurements are being incorporated into clinical labs to facilitate clinical proteogenomics.
- This approach promises to improve the efficacy of personalized oncology by better matching patients to treatments.
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