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.

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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