PhosCancer: A comprehensive database for investigating protein phosphorylation in human cancer

Protein phosphorylation is a crucial post-translational modification implicated in cancer pathogenesis, offering potential diagnostic and therapeutic targets. Here, we developed PhosCancer, a user-friendly database for extracting biologically and clinically relevant insights from phosphoproteomics data. Leveraging data from the CNHPP and CPTAC, PhosCancer encompasses 174,587 phosphosites from 14 datasets spanning 12 cancer types. Through extensive statistical analyses and integration of annotations from external resources, PhosCancer serves as a convenient one-stop platform facilitating the exploration of phosphorylation profiles across different cancer types. Not only does PhosCancer encompass basic information, 3D structure, functional domains, and upstream kinases, but also provides quantitative associations with nine clinical features, and the relevance with hallmarks in both cancer-specific and pan-cancer views. PhosCancer is a valuable resource for cancer researchers and clinicians, promoting the identification of clinically actionable biomarkers and further facilitating the clinical applications of phosphoproteomic data.

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Publication Details

Journal
iScience
Published
2024-09-27
DOI
https://doi.org/10.1016/j.isci.2024.111060
Citations
5
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.20

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article

PhosCancer: A comprehensive database for investigating protein phosphorylation in human cancer

Qun Dong, Danqing Shen, Jing Li, Jiaxin Chen et al.
5 citations
iScience
Advanced Proteomics Techniques and Applications
1.20
article

PhosCancer: A comprehensive database for investigating protein phosphorylation in human cancer

Qun Dong, Danqing Shen, Jing Li, Jiaxin Chen, Jiachen Ye
article en
5 citations

Abstract

Protein phosphorylation is a crucial post-translational modification implicated in cancer pathogenesis, offering potential diagnostic and therapeutic targets. Here, we developed PhosCancer, a user-friendly database for extracting biologically and clinically relevant insights from phosphoproteomics data. Leveraging data from the CNHPP and CPTAC, PhosCancer encompasses 174,587 phosphosites from 14 datasets spanning 12 cancer types. Through extensive statistical analyses and integration of annotations from external resources, PhosCancer serves as a convenient one-stop platform facilitating the exploration of phosphorylation profiles across different cancer types. Not only does PhosCancer encompass basic information, 3D structure, functional domains, and upstream kinases, but also provides quantitative associations with nine clinical features, and the relevance with hallmarks in both cancer-specific and pan-cancer views. PhosCancer is a valuable resource for cancer researchers and clinicians, promoting the identification of clinically actionable biomarkers and further facilitating the clinical applications of phosphoproteomic data.

iScienceVol. 27(11)
Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Good health and well-being
Openalex Percentile: Top 23%
Advanced Proteomics Techniques and Applications
1.20
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