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Large-scale consortium-based projects have profiled &amp;gt;11\u00a0000 adult and &amp;gt;4000 pediatric tumor cases with clinical outcomes and multiomics approaches. This provides a resource for investigating molecular-level cancer etiologies using clinical correlations. Although cancers often arise from multiple genetic vulnerabilities and have deregulated gene sets (GSs), existing survival analysis protocols can report only on individual genes. Additionally, there is no systematic method to connect clinical outcomes with experimental (cell line) data. To address these gaps, we developed cSurvival (https:\/\/tau.cmmt.ubc.ca\/cSurvival). cSurvival provides a user-adjustable analytical pipeline with a curated, integrated database and offers three main advances: (i) joint analysis with two genomic predictors to identify interacting biomarkers, including new algorithms to identify optimal cutoffs for two continuous predictors; (ii) survival analysis not only at the gene, but also the GS level; and (iii) integration of clinical and experimental cell line studies to generate synergistic biological insights. To demonstrate these advances, we report three case studies. We confirmed findings of autophagy-dependent survival in colorectal cancers and of synergistic negative effects between high expression of SLC7A11 and SLC2A1 on outcomes in several cancers. We further used cSurvival to identify high expression of the Nrf2-antioxidant response element pathway as a main indicator for lung cancer prognosis and for cellular resistance to oxidative stress-inducing drugs. Altogether, these analyses demonstrate cSurvival\u2019s ability to support biomarker prognosis and interaction analysis via gene- and GS-level approaches and to integrate clinical and experimental biomedical studies.<\/jats:p>","DOI":"10.1093\/bib\/bbac090","type":"journal-article","created":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T07:09:10Z","timestamp":1645686550000},"source":"Crossref","is-referenced-by-count":29,"title":["cSurvival: a web resource for biomarker interactions in cancer outcomes and in cell lines"],"prefix":"10.1093","volume":"23","author":[{"given":"Xuanjin","family":"Cheng","sequence":"first","affiliation":[{"name":"Centre for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada"},{"name":"British Columbia Children\u2019s Hospital Research Institute, Vancouver, British Columbia, Canada"},{"name":"Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada"}]},{"given":"Yongxing","family":"Liu","sequence":"additional","affiliation":[{"name":"Centre for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada"},{"name":"British Columbia Children\u2019s Hospital Research Institute, Vancouver, British Columbia, Canada"},{"name":"Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada"}]},{"given":"Jiahe","family":"Wang","sequence":"additional","affiliation":[{"name":"Centre for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada"},{"name":"British Columbia Children\u2019s Hospital Research Institute, Vancouver, British Columbia, Canada"},{"name":"Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada"}]},{"given":"Yujie","family":"Chen","sequence":"additional","affiliation":[{"name":"Centre for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada"},{"name":"British Columbia Children\u2019s Hospital Research Institute, Vancouver, British Columbia, Canada"},{"name":"Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada"}]},{"given":"Andrew Gordon","family":"Robertson","sequence":"additional","affiliation":[{"name":"Canada\u2019s Michael Smith Genome Sciences Centre at BC Cancer Agency, Vancouver, British Columbia, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4728-2343","authenticated-orcid":false,"given":"Xuekui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada"}]},{"given":"Steven J M","family":"Jones","sequence":"additional","affiliation":[{"name":"Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada"},{"name":"Canada\u2019s Michael Smith Genome Sciences Centre at BC Cancer Agency, Vancouver, British Columbia, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2432-7257","authenticated-orcid":false,"given":"Stefan","family":"Taubert","sequence":"additional","affiliation":[{"name":"Centre for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada"},{"name":"British Columbia Children\u2019s Hospital Research Institute, Vancouver, British Columbia, Canada"},{"name":"Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada"}]}],"member":"286","published-online":{"date-parts":[[2022,4,2]]},"reference":[{"key":"2022051813452807500_ref1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-6646-9","volume-title":"Survival Analysis: A Self-Learning 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