Literature DB >> 33196823

CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics.

Augustin Luna1, Fathi Elloumi2,3, Sudhir Varma2,4, Yanghsin Wang2,3, Vinodh N Rajapakse2, Mirit I Aladjem2, Jacques Robert5, Chris Sander1, Yves Pommier2, William C Reinhold2.   

Abstract

CellMiner Cross-Database (CellMinerCDB, discover.nci.nih.gov/cellminercdb) allows integration and analysis of molecular and pharmacological data within and across cancer cell line datasets from the National Cancer Institute (NCI), Broad Institute, Sanger/MGH and MD Anderson Cancer Center (MDACC). We present CellMinerCDB 1.2 with updates to datasets from NCI-60, Broad Cancer Cell Line Encyclopedia and Sanger/MGH, and the addition of new datasets, including NCI-ALMANAC drug combination, MDACC Cell Line Project proteomic, NCI-SCLC DNA copy number and methylation data, and Broad methylation, genetic dependency and metabolomic datasets. CellMinerCDB (v1.2) includes several improvements over the previously published version: (i) new and updated datasets; (ii) support for pattern comparisons and multivariate analyses across data sources; (iii) updated annotations with drug mechanism of action information and biologically relevant multigene signatures; (iv) analysis speedups via caching; (v) a new dataset download feature; (vi) improved visualization of subsets of multiple tissue types; (vii) breakdown of univariate associations by tissue type; and (viii) enhanced help information. The curation and common annotations (e.g. tissues of origin and identifiers) provided here across pharmacogenomic datasets increase the utility of the individual datasets to address multiple researcher question types, including data reproducibility, biomarker discovery and multivariate analysis of drug activity. Published by Oxford University Press on behalf of Nucleic Acids Research 2020.

Entities:  

Year:  2021        PMID: 33196823      PMCID: PMC7779001          DOI: 10.1093/nar/gkaa968

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  79 in total

1.  mRNA and microRNA expression profiles of the NCI-60 integrated with drug activities.

Authors:  Hongfang Liu; Petula D'Andrade; Stephanie Fulmer-Smentek; Philip Lorenzi; Kurt W Kohn; John N Weinstein; Yves Pommier; William C Reinhold
Journal:  Mol Cancer Ther       Date:  2010-05-04       Impact factor: 6.261

2.  Phosphorylated fraction of H2AX as a measurement for DNA damage in cancer cells and potential applications of a novel assay.

Authors:  Jiuping Ji; Yiping Zhang; Christophe E Redon; William C Reinhold; Alice P Chen; Laura K Fogli; Susan L Holbeck; Ralph E Parchment; Melinda Hollingshead; Joseph E Tomaszewski; Quentin Dudon; Yves Pommier; James H Doroshow; William M Bonner
Journal:  PLoS One       Date:  2017-02-03       Impact factor: 3.240

Review 3.  Molecular subtypes of small cell lung cancer: a synthesis of human and mouse model data.

Authors:  Charles M Rudin; John T Poirier; Lauren Averett Byers; Caroline Dive; Afshin Dowlati; Julie George; John V Heymach; Jane E Johnson; Jonathan M Lehman; David MacPherson; Pierre P Massion; John D Minna; Trudy G Oliver; Vito Quaranta; Julien Sage; Roman K Thomas; Christopher R Vakoc; Adi F Gazdar
Journal:  Nat Rev Cancer       Date:  2019-05       Impact factor: 60.716

Review 4.  Schlafen 11 (SLFN11), a restriction factor for replicative stress induced by DNA-targeting anti-cancer therapies.

Authors:  Junko Murai; Anish Thomas; Markku Miettinen; Yves Pommier
Journal:  Pharmacol Ther       Date:  2019-05-23       Impact factor: 12.310

5.  Next-generation characterization of the Cancer Cell Line Encyclopedia.

Authors:  Mahmoud Ghandi; Franklin W Huang; Judit Jané-Valbuena; Gregory V Kryukov; Christopher C Lo; E Robert McDonald; Jordi Barretina; Ellen T Gelfand; Craig M Bielski; Haoxin Li; Kevin Hu; Alexander Y Andreev-Drakhlin; Jaegil Kim; Julian M Hess; Brian J Haas; François Aguet; Barbara A Weir; Michael V Rothberg; Brenton R Paolella; Michael S Lawrence; Rehan Akbani; Yiling Lu; Hong L Tiv; Prafulla C Gokhale; Antoine de Weck; Ali Amin Mansour; Coyin Oh; Juliann Shih; Kevin Hadi; Yanay Rosen; Jonathan Bistline; Kavitha Venkatesan; Anupama Reddy; Dmitriy Sonkin; Manway Liu; Joseph Lehar; Joshua M Korn; Dale A Porter; Michael D Jones; Javad Golji; Giordano Caponigro; Jordan E Taylor; Caitlin M Dunning; Amanda L Creech; Allison C Warren; James M McFarland; Mahdi Zamanighomi; Audrey Kauffmann; Nicolas Stransky; Marcin Imielinski; Yosef E Maruvka; Andrew D Cherniack; Aviad Tsherniak; Francisca Vazquez; Jacob D Jaffe; Andrew A Lane; David M Weinstock; Cory M Johannessen; Michael P Morrissey; Frank Stegmeier; Robert Schlegel; William C Hahn; Gad Getz; Gordon B Mills; Jesse S Boehm; Todd R Golub; Levi A Garraway; William R Sellers
Journal:  Nature       Date:  2019-05-08       Impact factor: 49.962

6.  Targeted disruption of the inosine 5'-monophosphate dehydrogenase type I gene in mice.

Authors:  Jing Jin Gu; Amy K Tolin; Jugnu Jain; Hai Huang; Lalaine Santiago; Beverly S Mitchell
Journal:  Mol Cell Biol       Date:  2003-09       Impact factor: 4.272

7.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

Authors:  Ethan Cerami; Jianjiong Gao; Ugur Dogrusoz; Benjamin E Gross; Selcuk Onur Sumer; Bülent Arman Aksoy; Anders Jacobsen; Caitlin J Byrne; Michael L Heuer; Erik Larsson; Yevgeniy Antipin; Boris Reva; Arthur P Goldberg; Chris Sander; Nikolaus Schultz
Journal:  Cancer Discov       Date:  2012-05       Impact factor: 39.397

8.  Integration of Bioinformatics Resources Reveals the Therapeutic Benefits of Gemcitabine and Cell Cycle Intervention in SMAD4-Deleted Pancreatic Ductal Adenocarcinoma.

Authors:  Yao-Yu Hsieh; Tsang-Pai Liu; Chia-Jung Chou; Hsin-Yi Chen; Kuen-Haur Lee; Pei-Ming Yang
Journal:  Genes (Basel)       Date:  2019-09-28       Impact factor: 4.096

9.  Gene expression correlations in human cancer cell lines define molecular interaction networks for epithelial phenotype.

Authors:  Kurt W Kohn; Barry M Zeeberg; William C Reinhold; Yves Pommier
Journal:  PLoS One       Date:  2014-06-18       Impact factor: 3.240

10.  PubChem Substance and Compound databases.

Authors:  Sunghwan Kim; Paul A Thiessen; Evan E Bolton; Jie Chen; Gang Fu; Asta Gindulyte; Lianyi Han; Jane He; Siqian He; Benjamin A Shoemaker; Jiyao Wang; Bo Yu; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2015-09-22       Impact factor: 16.971

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  29 in total

1.  The Roles of Drug Metabolism-Related ADH1B in Immune Regulation and Therapeutic Response of Ovarian Cancer.

Authors:  Zhijie Xu; Bi Peng; Fanhua Kang; Wenqin Zhang; Muzhang Xiao; Jianbo Li; Qianhui Hong; Yuan Cai; Wei Liu; Yuanliang Yan; Jinwu Peng
Journal:  Front Cell Dev Biol       Date:  2022-06-09

2.  A unified platform enabling biomarker ranking and validation for 1562 drugs using transcriptomic data of 1250 cancer cell lines.

Authors:  János Tibor Fekete; Balázs Győrffy
Journal:  Comput Struct Biotechnol J       Date:  2022-06-06       Impact factor: 6.155

3.  Integrative analysis of genomic and transcriptomic alterations of AGR2 and AGR3 in cancer.

Authors:  Delphine Fessart; Ines Villamor; Eric Chevet; Frederic Delom; Jacques Robert
Journal:  Open Biol       Date:  2022-07-13       Impact factor: 7.124

4.  Thunor: visualization and analysis of high-throughput dose-response datasets.

Authors:  Alexander L R Lubbock; Leonard A Harris; Vito Quaranta; Darren R Tyson; Carlos F Lopez
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

Review 5.  Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models.

Authors:  Hossein Sharifi-Noghabi; Soheil Jahangiri-Tazehkand; Petr Smirnov; Casey Hon; Anthony Mammoliti; Sisira Kadambat Nair; Arvind Singh Mer; Martin Ester; Benjamin Haibe-Kains
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 13.994

Review 6.  Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects.

Authors:  Kunjie Fan; Lijun Cheng; Lang Li
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 13.994

7.  A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction.

Authors:  Yongsun Shim; Munhwan Lee; Pil-Jong Kim; Hong-Gee Kim
Journal:  BMC Bioinformatics       Date:  2022-05-05       Impact factor: 3.307

8.  PharmacoDB 2.0: improving scalability and transparency of in vitro pharmacogenomics analysis.

Authors:  Nikta Feizi; Sisira Kadambat Nair; Petr Smirnov; Gangesh Beri; Christopher Eeles; Parinaz Nasr Esfahani; Minoru Nakano; Denis Tkachuk; Anthony Mammoliti; Evgeniya Gorobets; Arvind Singh Mer; Eva Lin; Yihong Yu; Scott Martin; Marc Hafner; Benjamin Haibe-Kains
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

9.  Association of expression of epigenetic molecular factors with DNA methylation and sensitivity to chemotherapeutic agents in cancer cell lines.

Authors:  Suleyman Vural; Alida Palmisano; William C Reinhold; Yves Pommier; Beverly A Teicher; Julia Krushkal
Journal:  Clin Epigenetics       Date:  2021-03-06       Impact factor: 6.551

10.  CTR-DB, an omnibus for patient-derived gene expression signatures correlated with cancer drug response.

Authors:  Zhongyang Liu; Jiale Liu; Xinyue Liu; Xun Wang; Qiaosheng Xie; Xinlei Zhang; Xiangya Kong; Mengqi He; Yuting Yang; Xinru Deng; Lele Yang; Yaning Qi; Jiajun Li; Yuan Liu; Liying Yuan; Lihong Diao; Fuchu He; Dong Li
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

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