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Proteomics 101 (cancer)

Proteomics measures proteins and their modifications (e.g. phosphorylation, ubiquitination). It sits close to phenotype: what the cell is actually doing, not only what it is transcribing.

Typical technologies

  • Mass spectrometry (LC-MS/MS) for discovery and targeted panels
  • Antibody-based multiplex assays (e.g. Olink, reverse-phase protein arrays in research)

Why it matters in oncology

  • Drug targets and pathway activation (kinase signaling)
  • Resistance mechanisms that may not show up cleanly in RNA
  • Immunotherapy context (e.g. checkpoint expression at protein level, though often IHC is used clinically)

Integration

RNA and protein are correlated but not identical (translation, turnover, PTMs). Multi-layer models often combine transcript and protein; see Multi‑omics integration.

See also

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