Literature DB >> 27923837

The NCI-60 Methylome and Its Integration into CellMiner.

William C Reinhold1, Sudhir Varma2,3,4, Margot Sunshine2,3, Vinodh Rajapakse2, Augustin Luna2,5,6, Kurt W Kohn2, Holly Stevenson7, Yonghong Wang7, Holger Heyn8, Vanesa Nogales8, Sebastian Moran8, David J Goldstein9, James H Doroshow2,10, Paul S Meltzer7, Manel Esteller8,11,12, Yves Pommier1.   

Abstract

A unique resource for systems pharmacology and genomic studies is the NCI-60 cancer cell line panel, which provides data for the largest publicly available library of compounds with cytotoxic activity (∼21,000 compounds), including 108 FDA-approved and 70 clinical trial drugs as well as genomic data, including whole-exome sequencing, gene and miRNA transcripts, DNA copy number, and protein levels. Here, we provide the first readily usable genome-wide DNA methylation database for the NCI-60, including 485,577 probes from the Infinium HumanMethylation450k BeadChip array, which yielded DNA methylation signatures for 17,559 genes integrated into our open access CellMiner version 2.0 (https://discover.nci.nih.gov/cellminer). Among new insights, transcript versus DNA methylation correlations revealed the epithelial/mesenchymal gene functional category as being influenced most heavily by methylation. DNA methylation and copy number integration with transcript levels yielded an assessment of their relative influence for 15,798 genes, including tumor suppressor, mitochondrial, and mismatch repair genes. Four forms of molecular data were combined, providing rationale for microsatellite instability for 8 of the 9 cell lines in which it occurred. Individual cell line analyses showed global methylome patterns with overall methylation levels ranging from 17% to 84%. A six-gene model, including PARP1, EP300, KDM5C, SMARCB1, and UHRF1 matched this pattern. In addition, promoter methylation of two translationally relevant genes, Schlafen 11 (SLFN11) and methylguanine methyltransferase (MGMT), served as indicators of therapeutic resistance or susceptibility, respectively. Overall, our database provides a resource of pharmacologic data that can reinforce known therapeutic strategies and identify novel drugs and drug targets across multiple cancer types. Cancer Res; 77(3); 601-12. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27923837      PMCID: PMC5290136          DOI: 10.1158/0008-5472.CAN-16-0655

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  35 in total

Review 1.  DNA methylation analysis in constitutional disorders: Clinical implications of the epigenome.

Authors:  Laila C Schenkel; David I Rodenhiser; Peter J Ainsworth; Guillaume Paré; Bekim Sadikovic
Journal:  Crit Rev Clin Lab Sci       Date:  2016-01-12       Impact factor: 6.250

2.  The Catalogue of Somatic Mutations in Cancer (COSMIC).

Authors:  S A Forbes; G Bhamra; S Bamford; E Dawson; C Kok; J Clements; A Menzies; J W Teague; P A Futreal; M R Stratton
Journal:  Curr Protoc Hum Genet       Date:  2008-04

3.  DNA methyltransferases Dnmt3a and Dnmt3b are essential for de novo methylation and mammalian development.

Authors:  M Okano; D W Bell; D A Haber; E Li
Journal:  Cell       Date:  1999-10-29       Impact factor: 41.582

4.  SLFN11 Is a Transcriptional Target of EWS-FLI1 and a Determinant of Drug Response in Ewing Sarcoma.

Authors:  Sai-Wen Tang; Sven Bilke; Liang Cao; Junko Murai; Fabricio G Sousa; Mihoko Yamade; Vinodh Rajapakse; Sudhir Varma; Lee J Helman; Javed Khan; Paul S Meltzer; Yves Pommier
Journal:  Clin Cancer Res       Date:  2015-03-16       Impact factor: 12.531

Review 5.  Inhibitors of DNA Methylation, Histone Deacetylation, and Histone Demethylation: A Perfect Combination for Cancer Therapy.

Authors:  C A Zahnow; M Topper; M Stone; T Murray-Stewart; H Li; S B Baylin; R A Casero
Journal:  Adv Cancer Res       Date:  2016-03-02       Impact factor: 6.242

6.  Karyotypic complexity of the NCI-60 drug-screening panel.

Authors:  Anna V Roschke; Giovanni Tonon; Kristen S Gehlhaus; Nicolas McTyre; Kimberly J Bussey; Samir Lababidi; Dominic A Scudiero; John N Weinstein; Ilan R Kirsch
Journal:  Cancer Res       Date:  2003-12-15       Impact factor: 12.701

Review 7.  DNA methylation profiling in the clinic: applications and challenges.

Authors:  Holger Heyn; Manel Esteller
Journal:  Nat Rev Genet       Date:  2012-09-04       Impact factor: 53.242

8.  Epigenetic inactivation of the putative DNA/RNA helicase SLFN11 in human cancer confers resistance to platinum drugs.

Authors:  Vanesa Nogales; William C Reinhold; Sudhir Varma; Anna Martinez-Cardus; Catia Moutinho; Sebastian Moran; Holger Heyn; Ana Sebio; Agusti Barnadas; Yves Pommier; Manel Esteller
Journal:  Oncotarget       Date:  2016-01-19

9.  Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.

Authors:  Christof Angermueller; Stephen J Clark; Heather J Lee; Iain C Macaulay; Mabel J Teng; Tim Xiaoming Hu; Felix Krueger; Sebastien Smallwood; Chris P Ponting; Thierry Voet; Gavin Kelsey; Oliver Stegle; Wolf Reik
Journal:  Nat Methods       Date:  2016-01-11       Impact factor: 28.547

10.  Correlating chemical sensitivity and basal gene expression reveals mechanism of action.

Authors:  Matthew G Rees; Brinton Seashore-Ludlow; Jaime H Cheah; Drew J Adams; Edmund V Price; Shubhroz Gill; Sarah Javaid; Matthew E Coletti; Victor L Jones; Nicole E Bodycombe; Christian K Soule; Benjamin Alexander; Ava Li; Philip Montgomery; Joanne D Kotz; C Suk-Yee Hon; Benito Munoz; Ted Liefeld; Vlado Dančík; Daniel A Haber; Clary B Clish; Joshua A Bittker; Michelle Palmer; Bridget K Wagner; Paul A Clemons; Alykhan F Shamji; Stuart L Schreiber
Journal:  Nat Chem Biol       Date:  2015-12-14       Impact factor: 15.040

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  22 in total

1.  RNA Sequencing of the NCI-60: Integration into CellMiner and CellMiner CDB.

Authors:  William C Reinhold; Sudhir Varma; Margot Sunshine; Fathi Elloumi; Kwabena Ofori-Atta; Sunmin Lee; Jane B Trepel; Paul S Meltzer; James H Doroshow; Yves Pommier
Journal:  Cancer Res       Date:  2019-05-21       Impact factor: 12.701

Review 2.  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

3.  The Indenoisoquinoline TOP1 Inhibitors Selectively Target Homologous Recombination-Deficient and Schlafen 11-Positive Cancer Cells and Synergize with Olaparib.

Authors:  Laetitia Marzi; Ludmila Szabova; Melanie Gordon; Zoe Weaver Ohler; Shyam K Sharan; Michael L Beshiri; Moudjib Etemadi; Junko Murai; Kathleen Kelly; Yves Pommier
Journal:  Clin Cancer Res       Date:  2019-08-13       Impact factor: 12.531

Review 4.  Targeting DNA repair and replication stress in the treatment of ovarian cancer.

Authors:  Junko Murai
Journal:  Int J Clin Oncol       Date:  2017-06-22       Impact factor: 3.402

5.  Overcoming Resistance to DNA-Targeted Agents by Epigenetic Activation of Schlafen 11 (SLFN11) Expression with Class I Histone Deacetylase Inhibitors.

Authors:  Sai-Wen Tang; Anish Thomas; Junko Murai; Jane B Trepel; Susan E Bates; Vinodh N Rajapakse; Yves Pommier
Journal:  Clin Cancer Res       Date:  2018-02-01       Impact factor: 12.531

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

Authors:  Augustin Luna; Fathi Elloumi; Sudhir Varma; Yanghsin Wang; Vinodh N Rajapakse; Mirit I Aladjem; Jacques Robert; Chris Sander; Yves Pommier; William C Reinhold
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

7.  Chromatin Remodeling and Immediate Early Gene Activation by SLFN11 in Response to Replication Stress.

Authors:  Junko Murai; Hongliang Zhang; Lorinc Pongor; Sai-Wen Tang; Ukhyun Jo; Fumiya Moribe; Yixiao Ma; Masaru Tomita; Yves Pommier
Journal:  Cell Rep       Date:  2020-03-24       Impact factor: 9.423

8.  Novel Fluoroindenoisoquinoline Non-Camptothecin Topoisomerase I Inhibitors.

Authors:  Laetitia Marzi; Keli Agama; Junko Murai; Simone Difilippantonio; Amy James; Cody J Peer; William D Figg; Daniel Beck; Mohamed S A Elsayed; Mark Cushman; Yves Pommier
Journal:  Mol Cancer Ther       Date:  2018-05-10       Impact factor: 6.261

9.  ADHFE1 is a correlative factor of patient survival in cancer.

Authors:  Qi Chen; Qiyan Wu; Yaojun Peng
Journal:  Open Life Sci       Date:  2021-06-18       Impact factor: 0.938

10.  SLFN11 inhibits hepatocellular carcinoma tumorigenesis and metastasis by targeting RPS4X via mTOR pathway.

Authors:  Chenhao Zhou; Chunxiao Liu; Wenjie Liu; Wanyong Chen; Yirui Yin; Chia-Wei Li; Jennifer L Hsu; Jialei Sun; Qiang Zhou; Hui Li; Bo Hu; Peiyao Fu; Manar Atyah; Qianni Ma; Yang Xu; Qiongzhu Dong; Mien-Chie Hung; Ning Ren
Journal:  Theranostics       Date:  2020-03-25       Impact factor: 11.600

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