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Cell line · CVCL_1291

Papers33

PaperJournalYearHow we knowRetractedSource
Therapeutic vulnerabilities exposed by the 9p21 loss identified through multiparametric drug screening inform rational combination strategies.NPJ Precis Oncol2026Its Methods give the RRID and name the linePubMed
Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker.Mol Oncol2026Its Methods give the RRID and name the linePubMed
Avelumab induces greater Fc-Fc receptor-dependent natural killer cell activation and dendritic cell crosstalk compared to durvalumab.Oncoimmunology2025Its Methods give the RRID and name the linePubMed
Enhancing immunotherapy through PD-L1 upregulation: the promising combination of anti-PD-L1 plus mTOR inhibitors.Mol Oncol2025Its Methods give the RRID and name the linePubMed
C19MC drives nucleolar invasion of mitochondria and meiotic nuclear division in human cancers.iScience2024Its Methods give the RRID and name the linePubMed
Pan-cancer proteomic map of 949 human cell lines.Cancer Cell2022Cellosaurus cites itPubMed
p53 mitigates the effects of oncogenic HRAS in urothelial cells via the repression of MCOLN1.iScience2021Its Methods give the RRID and name the linePubMed
Quantitative Proteomics of the Cancer Cell Line Encyclopedia.Cell2020Cellosaurus cites itPubMed
Next-generation characterization of the Cancer Cell Line Encyclopedia.Nature2019Cellosaurus cites itPubMed
An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines.Cancer Res2019Cellosaurus cites itPubMed
Systematic Review: Characteristics and Preclinical Uses of Bladder Cancer Cell Lines.Bladder Cancer2018Cellosaurus cites itPubMed
Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays.Cancer Cell2017Cellosaurus cites itPubMed
Molecular analysis of urothelial cancer cell lines for modeling tumor biology and drug response.Oncogene2017Cellosaurus cites itPubMed
A Landscape of Pharmacogenomic Interactions in Cancer.Cell2016Cellosaurus cites itPubMed
The UBC-40 Urothelial Bladder Cancer cell line index: a genomic resource for functional studies.BMC Genomics2015Cellosaurus cites itPubMed
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.Sci Data2014Cellosaurus cites itPubMed
Comprehensive mutation analysis of the TERT promoter in bladder cancer and detection of mutations in voided urine.Eur Urol2014Cellosaurus cites itPubMed
Telomerase reverse transcriptase promoter mutations in bladder cancer: high frequency across stages, detection in urine, and lack of association with outcome.Eur Urol2014Cellosaurus cites itPubMed
Identification of mutations in distinct regions of p85 alpha in urothelial cancer.PLoS One2013Cellosaurus cites itPubMed
TSC1 involvement in bladder cancer: diverse effects and therapeutic implications.J Pathol2013Cellosaurus cites itPubMed

cell-lines-2026-11-14-0.1.0

Sources 4

  • CellosaurusCC BY 4.0, with credit to Cellosaurus (SIB)
  • PubMed Central's articlesTitles shown only for CC0, CC BY and public domain articles
  • NLM's PMC Article DatasetsCourtesy of NLM, which does not endorse this database
  • PubMedNLM's terms
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  • CellosaurusCC BY 4.0. Cellosaurus's README: "we have chosen to apply the Creative Commons Attribution 4.0 International (CC BY 4.0) license to Cellosaurus (https://creativecommons.org/licenses/by/4.0/). This means that you are free to copy and redistribute Cellosaurus in any medium or format. You can remix, transform, and build upon Cellosaurus for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made." Copyright (c) CALIPHO group, SIB Swiss Institute of Bioinformatics. Read on 14 Nov 2026 at https://ftp.expasy.org/databases/cellosaurus/README
  • PubMed Central's articlesEach article's own license. Its words show only under CC0, CC BY or public domain
  • NLM's PMC Article DatasetsNLM's PMC Article Datasets on AWS, https://registry.opendata.aws/ncbi-pmc. Its terms: users "acknowledge NLM as the source of the data in a clear and conspicuous manner", do not use the PubMed Central wordmark or the PMC logo, do not "indicate or imply that NLM/NIH/HHS has endorsed" a product, and "only distribute data that are licensed for redistribution". Each article keeps its own license: https://pmc.ncbi.nlm.nih.gov/about/copyright/
  • PubMedNLM's terms

Cellosaurus, SIB Swiss Institute of Bioinformatics, https://www.cellosaurus.org, CC BY 4.0. Its problem notes are given in its own words.

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