OncoRisk: a state-of-the-art web server for bridging the oncogenic databases and pan-cancer cohorts to the translational oncology
Özet
Accurate interpretation of genomic variants remains a major bottleneck in precision oncology, due in part to fragmented knowledge across databases and limited integration between clinical evidence and population-scale genomic datasets. Here we present OncoRisk, a stand-alone, user-friendly web server that unifies data from over ten oncogenic databases and seven large-scale pan-cancer cohorts, enabling rapid multi-database queries and network-based exploration of genomic variants, gene-gene interactions, and therapy associations. The platform features a semi-automated reporting workflow that generates comprehensive, patient-specific clinical reports from raw tissue sequencing data and categorizes variants into actionable tiers. For translational research, OncoRisk provides modules for data-driven exploration, allowing users to validate findings by interrogating mutation frequencies and clinical associations across real-world patient data. Furthermore, an integrated suite of analytical tools enables comprehensive, cohort-level investigations of mutational landscapes, prognostic biomarkers, and oncogenic signaling pathways. By providing a unified ecosystem that bridges curated knowledge with large-scale cohort data, OncoRisk serves as an effective catalyst for both discovery research and clinical application in oncology. OncoRisk is publicly available at https://www.phenomeportal.org/oncorisk .
Atıf için künye
Song, X., Green, E., Liao, X., Türkez, H., Yesil, G., Yuksel, B., Uhlen, M., Zhang, C., & Mardinoglu, A. (2026). OncoRisk: a state-of-the-art web server for bridging the oncogenic databases and pan-cancer cohorts to the translational oncology. COMMUNICATIONS BIOLOGY, 9(1). https://doi.org/10.1038/s42003-026-10005-5
BibTeX
@article{song2026-244978,
author = {Song, Xiya and Green, Emre and Liao, Xinmeng and Türkez, Hasan and Yesil, Gozde and Yuksel, Bayram and Uhlen, Mathias and Zhang, Cheng and Mardinoglu, Adil},
title = {OncoRisk: a state-of-the-art web server for bridging the oncogenic databases and pan-cancer cohorts to the translational oncology},
journal = {COMMUNICATIONS BIOLOGY},
year = {2026},
volume = {9},
number = {1},
issn = {2399-3642},
doi = {10.1038/s42003-026-10005-5},
url = {https://akademik.atauni.edu.tr/yayinlar/244978-oncorisk-a-state-of-the-art-web-server-for-bridging-the-oncogenic-databases-and}
}