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Updated: Jul 1, 2026
08:08
Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
CancerProteome: a resource to functionally decipher the proteome landscape in cancer
Dezhong Lv1, Donghao Li1, Yangyang Cai1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150081, China.
Nucleic Acids Research
|October 12, 2023
Summary
CancerProteome is a new resource that deciphers the cancer proteome landscape using mass spectrometry data. It aids in identifying potential tumor protein markers by analyzing protein and microprotein abundances and post-translational modifications.
Area of Science:
- Proteomics
- Cancer Biology
- Bioinformatics
Background:
- Mass spectrometry (MS)-based proteomics enables large-scale protein quantification, revealing altered signaling pathways in various cancers.
- A lack of specialized, comprehensive resources hinders in-depth cancer proteomics research.
Purpose of the Study:
- To introduce CancerProteome, a resource that functionally deciphers and visualizes the cancer proteome landscape.
- To provide a platform for analyzing protein and microprotein abundances and post-translational modifications (PTMs) in cancer.
Main Methods:
- Manual curation and re-analysis of publicly available MS-based quantitative and PTM proteomes from 7406 samples across 21 cancer types.
- Examination of 31,120 proteins and 4,111 microproteins for abundance and PTM levels.
- Development of six analytical modules for assessing protein contributions to carcinogenesis, including functional enrichment, protein-protein associations, drug sensitivity, and clinical relevance.
Main Results:
- CancerProteome integrates quantitative proteome, PTM data, and protein-protein interactions.
- Evaluated protein abundances correlated with transcript or PTM levels.
- The resource allows users to search for specific proteins/microproteins and generate visualizations.
Conclusions:
- CancerProteome serves as a valuable resource for functionally deciphering the cancer proteome landscape.
- It offers novel insights for identifying tumor protein markers.
- The platform facilitates user-friendly access and analysis of cancer proteomic data.
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