Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

Cancer proteomics

General information

URL: http://cancerproteomics.uio.no
Full name: Cancer Proteomics database
Description: The Cancer Proteomic database, a manually curated and integrated database to consolidate published data from large‐scale proteomics studies. The database has three main categories: cancer processes, cancer types, and anti‐cancer drugs. The database enables easy access to previously reported information regarding proteins of interest.
Year founded: 2015
Last update:
Version:
Accessibility:
Accessible
Country/Region: Norway

Contact information

University/Institution: University of Oslo
Address: Dr. Bernd Thiede, Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, 0316 Oslo, Norway
City: Oslo
Province/State:
Country/Region: Norway
Contact name (PI/Team): Bernd Thiede
Contact email (PI/Helpdesk): bernd.thiede@ibv.uio.no

Publications

26316313
Consolidation of proteomics data in the Cancer Proteomics database. [PMID: 26316313]
Arntzen MØ, Boddie P, Frick R, Koehler CJ, Thiede B.

Cancer is a class of diseases characterized by abnormal cell growth and one of the major reasons for human deaths. Proteins are involved in the molecular mechanisms leading to cancer, furthermore they are affected by anti-cancer drugs, and protein biomarkers can be used to diagnose certain cancer types. Therefore, it is important to explore the proteomics background of cancer. In this report, we developed the Cancer Proteomics database to re-interrogate published proteome studies investigating cancer. The database is divided in three sections related to cancer processes, cancer types, and anti-cancer drugs. Currently, the Cancer Proteomics database contains 9778 entries of 4118 proteins extracted from 143 scientific articles covering all three sections: cell death (cancer process), prostate cancer (cancer type) and platinum-based anti-cancer drugs including carboplatin, cisplatin, and oxaliplatin (anti-cancer drugs). The detailed information extracted from the literature includes basic information about the articles (e.g., PubMed ID, authors, journal name, publication year), information about the samples (type, study/reference, prognosis factor), and the proteomics workflow (Subcellular fractionation, protein, and peptide separation, mass spectrometry, quantification). Useful annotations such as hyperlinks to UniProt and PubMed were included. In addition, many filtering options were established as well as export functions. The database is freely available at http://cancerproteomics.uio.no.

Proteomics. 2015:15(22) | 6 Citations (from Europe PMC, 2025-12-06)

Ranking

All databases:
5924/6895 (14.097%)
Gene genome and annotation:
1782/2021 (11.875%)
Health and medicine:
1501/1738 (13.694%)
Standard ontology and nomenclature:
202/238 (15.546%)
Literature:
495/577 (14.385%)
Metadata:
590/719 (18.081%)
5924
Total Rank
6
Citations
0.6
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Sidra Younas [2018-04-11]
Meiye Jiang [2018-01-28]