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Updated: Oct 1, 2025

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Cancer proteogenomics: current impact and future prospects
D R Mani1, Karsten Krug2, Bing Zhang3
1Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA. manidr@broadinstitute.org.
Abstract:
Genomic analyses in cancer have been enormously impactful, leading to the identification of driver mutations and development of targeted therapies. But the functions of the vast majority of somatic mutations and copy number variants in tumours remain unknown, and the causes of resistance to targeted therapies and methods to overcome them are poorly defined. Recent improvements in mass spectrometry-based proteomics now enable direct examination of the consequences of genomic aberrations, providing deep and quantitative characterization of tumour tissues. Integration of proteins and their post-translational modifications with genomic, epigenomic and transcriptomic data constitutes the new field of proteogenomics, and is already leading to new biological and diagnostic knowledge with the potential to improve our understanding of malignant transformation and therapeutic outcomes. In this Review we describe recent developments in proteogenomics and key findings from the proteogenomic analysis of a wide range of cancers. Considerations relevant to the selection and use of samples for proteogenomics and the current technologies used to generate, analyse and integrate proteomic with genomic data are described. Applications of proteogenomics in translational studies and immuno-oncology are rapidly emerging, and the prospect for their full integration into therapeutic trials and clinical care seems bright.
Insights
Proteogenomics integrates protein data with genomic information to understand cancer. This approach reveals new insights into tumor biology and potential therapeutic strategies.
Area of Science:
- Oncology
- Proteomics
- Genomics
Background:
- Genomic studies have identified cancer driver mutations but the function of most mutations and resistance mechanisms remain unknown.
- Mass spectrometry-based proteomics now allows for direct analysis of genomic aberration consequences in tumors.
- Proteogenomics integrates multi-omics data for deeper tumor characterization.
Purpose of the Study:
- To review recent advancements in proteogenomics.
- To highlight key findings from proteogenomic analyses across various cancers.
- To discuss the application of proteogenomics in translational research and immuno-oncology.
Main Methods:
- Utilizing mass spectrometry-based proteomics for quantitative tumor tissue characterization.
- Integrating proteomic data with genomic, epigenomic, and transcriptomic information.
- Describing technologies for generating, analyzing, and integrating proteomic and genomic data.
Main Results:
- Proteogenomic analysis is yielding novel biological and diagnostic knowledge.
- Understanding of malignant transformation and therapeutic outcomes is improving.
- Emerging applications in translational studies and immuno-oncology.
Conclusions:
- Proteogenomics offers a powerful approach to decipher the functional impact of genomic alterations in cancer.
- This integrated multi-omics field holds significant potential for improving cancer diagnostics and therapeutics.
- Full integration of proteogenomics into clinical trials and patient care is anticipated.
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