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Beyond Reanalysis: Critical Issues in Data Reuse for Solid Tumor Proteomics.

Federica Franzetti1,2, Nicole Giugni1,2, Manuel Airoldi1,2

  • 1Department of Science and High Technology, University of Insubria, 21052 Busto Arsizio, Italy.

Proteomes
|April 24, 2026
PubMed
Summary
This summary is machine-generated.

Proteomics data reuse enhances precision oncology by integrating public datasets. Harmonization strategies and artificial intelligence are key, but careful consideration of data context is crucial for robust clinical applications.

Keywords:
data harmonizationdata standardsprecision oncologyproteoformsproteomics data reusepublic repositoriessolid tumors

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Area of Science:

  • Proteomics and computational biology
  • Cancer research and precision oncology

Background:

  • Proteomics offers deep insights into tumor molecular complexity, including proteoforms and post-translational modifications.
  • Expanding mass spectrometry technologies and public repositories increase opportunities for large-scale proteomics data reuse.
  • Current limitations in data standardization hinder reproducibility and cross-study comparability in proteomics.

Purpose of the Study:

  • To define and explore the systematic reanalysis and integration of public proteomics datasets for precision oncology.
  • To support applications such as biomarker discovery and antibody-drug conjugate target prioritization.
  • To critically examine factors influencing the robustness and clinical relevance of proteomics data reuse.

Main Methods:

  • Review of end-to-end analytical processes for proteomics data reuse.
  • Discussion of data analysis workflows, harmonization strategies, and interoperability challenges.
  • Exploration of artificial intelligence applications in proteomics data integration and reuse.

Main Results:

  • Proteomics data reuse can significantly aid biological discovery and translational research in cancer.
  • Heterogeneity in experimental and analytical choices impacts data interoperability and reuse.
  • Artificial intelligence shows potential but requires careful consideration of biological context to avoid overinterpretation.

Conclusions:

  • Standardized approaches and advanced computational methods are essential for effective proteomics data reuse.
  • Addressing data heterogeneity is critical for translating proteomics findings into clinical applications.
  • Proteomics data reuse holds promise for advancing precision oncology, exemplified by colorectal and prostate cancer research.