Literature DB >> 26526695

Large-Scale Drug Screens Support Precision Medicine.

Joe W Gray1, Gordon B Mills2.   

Abstract

The major challenge underlying the emerging precision medicine initiative is to make links between cancer subsets and drugs that can be used to guide treatment of individual patients, leading to improved outcomes and decreased toxicity. Seashore-Ludlow and colleagues support this effort by reporting measurements of responses of 664 adherent cancer cell lines to 70 FDA-approved drugs, 100 experimental compounds, and 311 small-molecule probes. They use a novel Annotated Cluster Multidimensional Enrichment algorithm to identify drug mechanisms of action, molecular markers of response, responsive cancer subtypes, and compounds that produce synergistic cell inhibition. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26526695      PMCID: PMC4633700          DOI: 10.1158/2159-8290.CD-15-0945

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  9 in total

1.  Subtype and pathway specific responses to anticancer compounds in breast cancer.

Authors:  Laura M Heiser; Anguraj Sadanandam; Wen-Lin Kuo; Stephen C Benz; Theodore C Goldstein; Sam Ng; William J Gibb; Nicholas J Wang; Safiyyah Ziyad; Frances Tong; Nora Bayani; Zhi Hu; Jessica I Billig; Andrea Dueregger; Sophia Lewis; Lakshmi Jakkula; James E Korkola; Steffen Durinck; François Pepin; Yinghui Guan; Elizabeth Purdom; Pierre Neuvial; Henrik Bengtsson; Kenneth W Wood; Peter G Smith; Lyubomir T Vassilev; Bryan T Hennessy; Joel Greshock; Kurtis E Bachman; Mary Ann Hardwicke; John W Park; Laurence J Marton; Denise M Wolf; Eric A Collisson; Richard M Neve; Gordon B Mills; Terence P Speed; Heidi S Feiler; Richard F Wooster; David Haussler; Joshua M Stuart; Joe W Gray; Paul T Spellman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-14       Impact factor: 11.205

Review 2.  The NCI60 human tumour cell line anticancer drug screen.

Authors:  Robert H Shoemaker
Journal:  Nat Rev Cancer       Date:  2006-10       Impact factor: 60.716

3.  Molecular target class is predictive of in vitro response profile.

Authors:  Joel Greshock; Kurtis E Bachman; Yan Y Degenhardt; Junping Jing; Yuan H Wen; Stephen Eastman; Elizabeth McNeil; Christopher Moy; Ronald Wegrzyn; Kurt Auger; Mary Ann Hardwicke; Richard Wooster
Journal:  Cancer Res       Date:  2010-04-20       Impact factor: 12.701

4.  Inconsistency in large pharmacogenomic studies.

Authors:  Benjamin Haibe-Kains; Nehme El-Hachem; Nicolai Juul Birkbak; Andrew C Jin; Andrew H Beck; Hugo J W L Aerts; John Quackenbush
Journal:  Nature       Date:  2013-11-27       Impact factor: 49.962

5.  Identification of genotype-correlated sensitivity to selective kinase inhibitors by using high-throughput tumor cell line profiling.

Authors:  Ultan McDermott; Sreenath V Sharma; Lori Dowell; Patricia Greninger; Clara Montagut; Jennifer Lamb; Heidi Archibald; Raul Raudales; Angela Tam; Diana Lee; S Michael Rothenberg; Jeffrey G Supko; Raffaella Sordella; Lindsey E Ulkus; A John Iafrate; Shyamala Maheswaran; Ching Ni Njauw; Hensin Tsao; Lisa Drew; Jeff H Hanke; Xiao-Jun Ma; Mark G Erlander; Nathanael S Gray; Daniel A Haber; Jeffrey Settleman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-06       Impact factor: 11.205

6.  Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset.

Authors:  Brinton Seashore-Ludlow; Matthew G Rees; Jaime H Cheah; Murat Cokol; Edmund V Price; Matthew E Coletti; Victor Jones; Nicole E Bodycombe; Christian K Soule; Joshua Gould; Benjamin Alexander; Ava Li; Philip Montgomery; Mathias J Wawer; Nurdan Kuru; Joanne D Kotz; C Suk-Yee Hon; Benito Munoz; Ted Liefeld; Vlado Dančík; Joshua A Bittker; Michelle Palmer; James E Bradner; Alykhan F Shamji; Paul A Clemons; Stuart L Schreiber
Journal:  Cancer Discov       Date:  2015-10-19       Impact factor: 39.397

7.  The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Authors:  Jordi Barretina; Giordano Caponigro; Nicolas Stransky; Kavitha Venkatesan; Adam A Margolin; Sungjoon Kim; Christopher J Wilson; Joseph Lehár; Gregory V Kryukov; Dmitriy Sonkin; Anupama Reddy; Manway Liu; Lauren Murray; Michael F Berger; John E Monahan; Paula Morais; Jodi Meltzer; Adam Korejwa; Judit Jané-Valbuena; Felipa A Mapa; Joseph Thibault; Eva Bric-Furlong; Pichai Raman; Aaron Shipway; Ingo H Engels; Jill Cheng; Guoying K Yu; Jianjun Yu; Peter Aspesi; Melanie de Silva; Kalpana Jagtap; Michael D Jones; Li Wang; Charles Hatton; Emanuele Palescandolo; Supriya Gupta; Scott Mahan; Carrie Sougnez; Robert C Onofrio; Ted Liefeld; Laura MacConaill; Wendy Winckler; Michael Reich; Nanxin Li; Jill P Mesirov; Stacey B Gabriel; Gad Getz; Kristin Ardlie; Vivien Chan; Vic E Myer; Barbara L Weber; Jeff Porter; Markus Warmuth; Peter Finan; Jennifer L Harris; Matthew Meyerson; Todd R Golub; Michael P Morrissey; William R Sellers; Robert Schlegel; Levi A Garraway
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

8.  Systematic identification of genomic markers of drug sensitivity in cancer cells.

Authors:  Mathew J Garnett; Elena J Edelman; Sonja J Heidorn; Chris D Greenman; Anahita Dastur; King Wai Lau; Patricia Greninger; I Richard Thompson; Xi Luo; Jorge Soares; Qingsong Liu; Francesco Iorio; Didier Surdez; Li Chen; Randy J Milano; Graham R Bignell; Ah T Tam; Helen Davies; Jesse A Stevenson; Syd Barthorpe; Stephen R Lutz; Fiona Kogera; Karl Lawrence; Anne McLaren-Douglas; Xeni Mitropoulos; Tatiana Mironenko; Helen Thi; Laura Richardson; Wenjun Zhou; Frances Jewitt; Tinghu Zhang; Patrick O'Brien; Jessica L Boisvert; Stacey Price; Wooyoung Hur; Wanjuan Yang; Xianming Deng; Adam Butler; Hwan Geun Choi; Jae Won Chang; Jose Baselga; Ivan Stamenkovic; Jeffrey A Engelman; Sreenath V Sharma; Olivier Delattre; Julio Saez-Rodriguez; Nathanael S Gray; Jeffrey Settleman; P Andrew Futreal; Daniel A Haber; Michael R Stratton; Sridhar Ramaswamy; Ultan McDermott; Cyril H Benes
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

9.  Modeling precision treatment of breast cancer.

Authors:  Anneleen Daemen; Obi L Griffith; Laura M Heiser; Nicholas J Wang; Oana M Enache; Zachary Sanborn; Francois Pepin; Steffen Durinck; James E Korkola; Malachi Griffith; Joe S Hur; Nam Huh; Jongsuk Chung; Leslie Cope; Mary Jo Fackler; Christopher Umbricht; Saraswati Sukumar; Pankaj Seth; Vikas P Sukhatme; Lakshmi R Jakkula; Yiling Lu; Gordon B Mills; Raymond J Cho; Eric A Collisson; Laura J van't Veer; Paul T Spellman; Joe W Gray
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

  9 in total
  5 in total

Review 1.  Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration.

Authors:  Kirsten Lee Fetah; Benjamin J DiPardo; Eve-Mary Kongadzem; James S Tomlinson; Adam Elzagheid; Mohammed Elmusrati; Ali Khademhosseini; Nureddin Ashammakhi
Journal:  Small       Date:  2019-11-13       Impact factor: 13.281

2.  Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies.

Authors:  Paul Geeleher; Zhenyu Zhang; Fan Wang; Robert F Gruener; Aritro Nath; Gladys Morrison; Steven Bhutra; Robert L Grossman; R Stephanie Huang
Journal:  Genome Res       Date:  2017-08-28       Impact factor: 9.043

3.  Synergistic Effects of Combination Therapy with AKT and mTOR Inhibitors on Bladder Cancer Cells.

Authors:  Hyera Kim; Su Jin Lee; In Kyoung Lee; Suejean C Min; Hyun Hwan Sung; Byong Chang Jeong; Jeeyun Lee; Se Hoon Park
Journal:  Int J Mol Sci       Date:  2020-04-18       Impact factor: 5.923

4.  Computational Cancer Cell Models to Guide Precision Breast Cancer Medicine.

Authors:  Lijun Cheng; Abhishek Majumdar; Daniel Stover; Shaofeng Wu; Yaoqin Lu; Lang Li
Journal:  Genes (Basel)       Date:  2020-02-28       Impact factor: 4.096

5.  kESVR: An Ensemble Model for Drug Response Prediction in Precision Medicine Using Cancer Cell Lines Gene Expression.

Authors:  Abhishek Majumdar; Yueze Liu; Yaoqin Lu; Shaofeng Wu; Lijun Cheng
Journal:  Genes (Basel)       Date:  2021-05-30       Impact factor: 4.096

  5 in total

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