Literature DB >> 20124458

Integrative analysis of proteomic signatures, mutations, and drug responsiveness in the NCI 60 cancer cell line set.

Eun Sung Park1, Rosalia Rabinovsky, Mark Carey, Bryan T Hennessy, Roshan Agarwal, Wenbin Liu, Zhenlin Ju, Wanleng Deng, Yiling Lu, Hyun Goo Woo, Sang-Bae Kim, Jae-Ho Cheong, Levi A Garraway, John N Weinstein, Gordon B Mills, Ju-Seog Lee, Michael A Davies.   

Abstract

Aberrations in oncogenes and tumor suppressors frequently affect the activity of critical signal transduction pathways. To analyze systematically the relationship between the activation status of protein networks and other characteristics of cancer cells, we did reverse phase protein array (RPPA) profiling of the NCI60 cell lines for total protein expression and activation-specific markers of critical signaling pathways. To extend the scope of the study, we merged those data with previously published RPPA results for the NCI60. Integrative analysis of the expanded RPPA data set revealed five major clusters of cell lines and five principal proteomic signatures. Comparison of mutations in the NCI60 cell lines with patterns of protein expression showed significant associations for PTEN, PIK3CA, BRAF, and APC mutations with proteomic clusters. PIK3CA and PTEN mutation enrichment were not cell lineage-specific but were associated with dominant yet distinct groups of proteins. The five RPPA-defined clusters were strongly associated with sensitivity to standard anticancer agents. RPPA analysis identified 27 protein features significantly associated with sensitivity to paclitaxel. The functional status of those proteins was interrogated in a paclitaxel whole genome small interfering RNA (siRNA) library synthetic lethality screen and confirmed the predicted associations with drug sensitivity. These studies expand our understanding of the activation status of protein networks in the NCI60 cancer cell lines, demonstrate the importance of the direct study of protein expression and activation, and provide a basis for further studies integrating the information with other molecular and pharmacological characteristics of cancer.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20124458      PMCID: PMC4085051          DOI: 10.1158/1535-7163.MCT-09-0743

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  33 in total

1.  Transcript and protein expression profiles of the NCI-60 cancer cell panel: an integromic microarray study.

Authors:  Uma T Shankavaram; William C Reinhold; Satoshi Nishizuka; Sylvia Major; Daisaku Morita; Krishna K Chary; Mark A Reimers; Uwe Scherf; Ari Kahn; Douglas Dolginow; Jeffrey Cossman; Eric P Kaldjian; Dominic A Scudiero; Emanuel Petricoin; Lance Liotta; Jae K Lee; John N Weinstein
Journal:  Mol Cancer Ther       Date:  2007-03-05       Impact factor: 6.261

2.  Reverse phase protein array: validation of a novel proteomic technology and utility for analysis of primary leukemia specimens and hematopoietic stem cells.

Authors:  Raoul Tibes; Yihua Qiu; Yiling Lu; Bryan Hennessy; Michael Andreeff; Gordon B Mills; Steven M Kornblau
Journal:  Mol Cancer Ther       Date:  2006-10       Impact factor: 6.261

3.  Tumor progression induced by the loss of E-cadherin independent of beta-catenin/Tcf-mediated Wnt signaling.

Authors:  M Herzig; F Savarese; M Novatchkova; H Semb; G Christofori
Journal:  Oncogene       Date:  2006-10-09       Impact factor: 9.867

Review 4.  The NCI60 human tumour cell line anticancer drug screen.

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

5.  Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression.

Authors:  Sooryanarayana Varambally; Jianjun Yu; Bharathi Laxman; Daniel R Rhodes; Rohit Mehra; Scott A Tomlins; Rajal B Shah; Uma Chandran; Federico A Monzon; Michael J Becich; John T Wei; Kenneth J Pienta; Debashis Ghosh; Mark A Rubin; Arul M Chinnaiyan
Journal:  Cancer Cell       Date:  2005-11       Impact factor: 31.743

6.  An information-intensive approach to the molecular pharmacology of cancer.

Authors:  J N Weinstein; T G Myers; P M O'Connor; S H Friend; A J Fornace; K W Kohn; T Fojo; S E Bates; L V Rubinstein; N L Anderson; J K Buolamwini; W W van Osdol; A P Monks; D A Scudiero; E A Sausville; D W Zaharevitz; B Bunow; V N Viswanadhan; G S Johnson; R E Wittes; K D Paull
Journal:  Science       Date:  1997-01-17       Impact factor: 47.728

7.  Cytosine methylation profiling of cancer cell lines.

Authors:  Mathias Ehrich; Julia Turner; Peter Gibbs; Lara Lipton; Mara Giovanneti; Charles Cantor; Dirk van den Boom
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-19       Impact factor: 11.205

8.  MicroRNA expression profiles for the NCI-60 cancer cell panel.

Authors:  Paul E Blower; Joseph S Verducci; Shili Lin; Jin Zhou; Ji-Hyun Chung; Zunyan Dai; Chang-Gong Liu; William Reinhold; Philip L Lorenzi; Eric P Kaldjian; Carlo M Croce; John N Weinstein; Wolfgang Sadee
Journal:  Mol Cancer Ther       Date:  2007-05-04       Impact factor: 6.261

9.  Drug sensitivity prediction by CpG island methylation profile in the NCI-60 cancer cell line panel.

Authors:  Lanlan Shen; Yutaka Kondo; Saira Ahmed; Yanis Boumber; Kazuo Konishi; Yi Guo; Xinli Chen; Jill N Vilaythong; Jean-Pierre J Issa
Journal:  Cancer Res       Date:  2007-12-01       Impact factor: 12.701

10.  Gene expression patterns within cell lines are predictive of chemosensitivity.

Authors:  Brian Z Ring; Stella Chang; L Winston Ring; Robert S Seitz; Douglas T Ross
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

View more
  49 in total

1.  PLX4032, a potent inhibitor of the B-Raf V600E oncogene, selectively inhibits V600E-positive melanomas.

Authors:  John T Lee; Ling Li; Patricia A Brafford; Marcia van den Eijnden; Molly B Halloran; Katrin Sproesser; Nikolas K Haass; Keiran S M Smalley; James Tsai; Gideon Bollag; Meenhard Herlyn
Journal:  Pigment Cell Melanoma Res       Date:  2010-12       Impact factor: 4.693

2.  Development of a robust classifier for quality control of reverse-phase protein arrays.

Authors:  Zhenlin Ju; Wenbin Liu; Paul L Roebuck; Doris R Siwak; Nianxiang Zhang; Yiling Lu; Michael A Davies; Rehan Akbani; John N Weinstein; Gordon B Mills; Kevin R Coombes
Journal:  Bioinformatics       Date:  2014-11-06       Impact factor: 6.937

Review 3.  Online informatics resources to facilitate cancer target and chemical probe discovery.

Authors:  Xuan Yang; Haian Fu; Andrey A Ivanov
Journal:  RSC Med Chem       Date:  2020-04-09

4.  A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.

Authors:  Brian K Erickson; Christopher M Rose; Craig R Braun; Alison R Erickson; Jeffrey Knott; Graeme C McAlister; Martin Wühr; Joao A Paulo; Robert A Everley; Steven P Gygi
Journal:  Mol Cell       Date:  2017-01-05       Impact factor: 17.970

Review 5.  An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines.

Authors:  Julie Dutil; Zhihua Chen; Alvaro N Monteiro; Jamie K Teer; Steven A Eschrich
Journal:  Cancer Res       Date:  2019-03-20       Impact factor: 12.701

6.  Harnessing BET Inhibitor Sensitivity Reveals AMIGO2 as a Melanoma Survival Gene.

Authors:  Barbara Fontanals-Cirera; Dan Hasson; Chiara Vardabasso; Raffaella Di Micco; Praveen Agrawal; Asif Chowdhury; Madeleine Gantz; Ana de Pablos-Aragoneses; Ari Morgenstern; Pamela Wu; Dan Filipescu; David Valle-Garcia; Farbod Darvishian; Jae-Seok Roe; Michael A Davies; Christopher R Vakoc; Eva Hernando; Emily Bernstein
Journal:  Mol Cell       Date:  2017-11-16       Impact factor: 17.970

7.  A database of reaction monitoring mass spectrometry assays for elucidating therapeutic response in cancer.

Authors:  Elizabeth R Remily-Wood; Richard Z Liu; Yun Xiang; Yi Chen; C Eric Thomas; Neal Rajyaguru; Laura M Kaufman; Joana E Ochoa; Lori Hazlehurst; Javier Pinilla-Ibarz; Jeffrey Lancet; Guolin Zhang; Eric Haura; David Shibata; Timothy Yeatman; Keiran S M Smalley; William S Dalton; Emina Huang; Ed Scott; Gregory C Bloom; Steven A Eschrich; John M Koomen
Journal:  Proteomics Clin Appl       Date:  2011-06-08       Impact factor: 3.494

8.  Resistance to BRAF inhibition in BRAF-mutant colon cancer can be overcome with PI3K inhibition or demethylating agents.

Authors:  Muling Mao; Feng Tian; John M Mariadason; Chun C Tsao; Robert Lemos; Farshid Dayyani; Y N Vashisht Gopal; Zhi-Qin Jiang; Ignacio I Wistuba; Xi M Tang; William G Bornman; Gideon Bollag; Gordon B Mills; Garth Powis; Jayesh Desai; Gary E Gallick; Michael A Davies; Scott Kopetz
Journal:  Clin Cancer Res       Date:  2012-12-18       Impact factor: 12.531

9.  Guidelines for the welfare and use of animals in cancer research.

Authors:  P Workman; E O Aboagye; F Balkwill; A Balmain; G Bruder; D J Chaplin; J A Double; J Everitt; D A H Farningham; M J Glennie; L R Kelland; V Robinson; I J Stratford; G M Tozer; S Watson; S R Wedge; S A Eccles
Journal:  Br J Cancer       Date:  2010-05-25       Impact factor: 7.640

10.  BRAFV600E cooperates with PI3K signaling, independent of AKT, to regulate melanoma cell proliferation.

Authors:  Jillian M Silva; Christina Bulman; Martin McMahon
Journal:  Mol Cancer Res       Date:  2014-01-14       Impact factor: 5.852

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.