Cancer proteomics is the large-scale study of the proteins expressed by malignant cells and tissues, characterising their abundance, modifications, interactions and dynamic responses to identify the molecular alterations that drive tumour initiation, progression and treatment resistance. Building on mass-spectrometr…
Cancer proteomics is the large-scale study of the proteins expressed by malignant cells and tissues, characterising their abundance, modifications, interactions and dynamic responses to identify the molecular alterations that drive tumour initiation, progression and treatment resistance. Building on mass-spectrometry-based discovery and quantification, it complements genomics by capturing the functional protein layer where therapeutic targets and clinical biomarkers ultimately reside. Core approaches include shotgun and targeted mass spectrometry, ion-current-based and isotope-labelling quantification, and the integration of proteomic data with genomic and bioinformatic analyses to map dysregulated pathways. Research relevant to this area includes determination of the proteomic response to the kinase inhibitor lapatinib using a reproducible ion-current-based strategy; quantitative proteomics employing 15N metabolic labelling in a SILAC mouse model; methods for discovery and quantification in mass-spectrometry-based proteomics; the scope of the Human Proteome Project for disease diagnosis and treatment; reviews of molecular biomarkers; and integrated proteomic and genomic techniques applied to cancer diagnostics and personalised medicine. Foundational and methodological contributions on proteome coverage from single proteins to whole-body analysis further support this work. Together the literature advances the identification of cancer-associated proteins and signalling alterations, the discovery of diagnostic and prognostic biomarkers, and the rational selection of molecular targets for therapy.
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 12 articles above have been cited 43 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Cancer Proteomics, linking to each citing work.