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Updated: Jun 8, 2025

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
Published on: August 2, 2018
PhosCancer: A comprehensive database for investigating protein phosphorylation in human cancer
Qun Dong1, Danqing Shen1, Jiachen Ye1
1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
PhosCancer is a new database that helps researchers understand protein phosphorylation in cancer. It provides insights into phosphosites, linking them to clinical features for biomarker discovery.
Area of Science:
- Oncology
- Biochemistry
- Bioinformatics
Background:
- Protein phosphorylation is a key post-translational modification in cancer.
- Phosphoproteomics data holds potential for cancer diagnostics and therapeutics.
Purpose of the Study:
- To develop PhosCancer, a user-friendly database for phosphoproteomics data analysis in cancer.
- To integrate diverse phosphoproteomic datasets and clinical information for comprehensive insights.
Main Methods:
- Leveraged data from CNHPP and CPTAC, encompassing 174,587 phosphosites from 14 datasets across 12 cancer types.
- Performed extensive statistical analyses and integrated external annotations.
- Developed a platform for exploring phosphorylation profiles, including basic information, 3D structure, functional domains, upstream kinases, and clinical associations.
Main Results:
- PhosCancer provides a one-stop platform for exploring phosphorylation profiles across various cancer types.
- The database offers quantitative associations between phosphosites and nine clinical features.
- It links phosphorylation patterns to cancer hallmarks in both cancer-specific and pan-cancer views.
Conclusions:
- PhosCancer is a valuable resource for cancer researchers and clinicians.
- Facilitates the identification of clinically actionable biomarkers from phosphoproteomic data.
- Promotes the clinical application of phosphoproteomics in cancer research.
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