Literature DB >> 16648555

Integrating data on DNA copy number with gene expression levels and drug sensitivities in the NCI-60 cell line panel.

Kimberly J Bussey1, Koei Chin, Samir Lababidi, Mark Reimers, William C Reinhold, Wen-Lin Kuo, Fuad Gwadry, Hosein Kouros-Mehr, Jane Fridlyand, Ajay Jain, Colin Collins, Satoshi Nishizuka, Giovanni Tonon, Anna Roschke, Kristen Gehlhaus, Ilan Kirsch, Dominic A Scudiero, Joe W Gray, John N Weinstein.   

Abstract

Chromosome rearrangement, a hallmark of cancer, has profound effects on carcinogenesis and tumor phenotype. We used a panel of 60 human cancer cell lines (the NCI-60) as a model system to identify relationships among DNA copy number, mRNA expression level, and drug sensitivity. For each of 64 cancer-relevant genes, we calculated all 4,096 possible Pearson's correlation coefficients relating DNA copy number (assessed by comparative genomic hybridization using bacterial artificial chromosome microarrays) and mRNA expression level (determined using both cDNA and Affymetrix oligonucleotide microarrays). The analysis identified an association of ERBB2 overexpression with 3p copy number, a finding supported by data from human tumors and a mouse model of ERBB2-induced carcinogenesis. When we examined the correlation between DNA copy number for all 353 unique loci on the bacterial artificial chromosome microarray and drug sensitivity for 118 drugs with putatively known mechanisms of action, we found a striking negative correlation (-0.983; 95% bootstrap confidence interval, -0.999 to -0.899) between activity of the enzyme drug L-asparaginase and DNA copy number of genes near asparagine synthetase in the ovarian cancer cells. Previous analysis of drug sensitivity and mRNA expression had suggested an inverse relationship between mRNA levels of asparagine synthetase and L-asparaginase sensitivity in the NCI-60. The concordance of pharmacogenomic findings at the DNA and mRNA levels strongly suggests further study of L-asparaginase for possible treatment of a low-synthetase subset of clinical ovarian cancers. The DNA copy number database presented here will enable other investigators to explore DNA transcript-drug relationships in their own domains of research focus.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16648555      PMCID: PMC2733874          DOI: 10.1158/1535-7163.MCT-05-0155

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


  49 in total

1.  Assembly of microarrays for genome-wide measurement of DNA copy number.

Authors:  A M Snijders; N Nowak; R Segraves; S Blackwood; N Brown; J Conroy; G Hamilton; A K Hindle; B Huey; K Kimura; S Law; K Myambo; J Palmer; B Ylstra; J P Yue; J W Gray; A N Jain; D Pinkel; D G Albertson
Journal:  Nat Genet       Date:  2001-11       Impact factor: 38.330

2.  Chemosensitivity prediction by transcriptional profiling.

Authors:  J E Staunton; D K Slonim; H A Coller; P Tamayo; M J Angelo; J Park; U Scherf; J K Lee; W O Reinhold; J N Weinstein; J P Mesirov; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

3.  Separating substrate recognition from base hydrolysis in human thymine DNA glycosylase by mutational analysis.

Authors:  U Hardeland; M Bentele; J Jiricny; P Schär
Journal:  J Biol Chem       Date:  2000-10-27       Impact factor: 5.157

4.  Genetic alterations in ERBB2-amplified breast carcinomas.

Authors:  J Isola; L Chu; S DeVries; K Matsumura; K Chew; B M Ljung; F M Waldman
Journal:  Clin Cancer Res       Date:  1999-12       Impact factor: 12.531

5.  Systematic variation in gene expression patterns in human cancer cell lines.

Authors:  D T Ross; U Scherf; M B Eisen; C M Perou; C Rees; P Spellman; V Iyer; S S Jeffrey; M Van de Rijn; M Waltham; A Pergamenschikov; J C Lee; D Lashkari; D Shalon; T G Myers; J N Weinstein; D Botstein; P O Brown
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

6.  A gene expression database for the molecular pharmacology of cancer.

Authors:  U Scherf; D T Ross; M Waltham; L H Smith; J K Lee; L Tanabe; K W Kohn; W C Reinhold; T G Myers; D T Andrews; D A Scudiero; M B Eisen; E A Sausville; Y Pommier; D Botstein; P O Brown; J N Weinstein
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

7.  The consequences of chromosomal aneuploidy on gene expression profiles in a cell line model for prostate carcinogenesis.

Authors:  J L Phillips; S W Hayward; Y Wang; J Vasselli; C Pavlovich; H Padilla-Nash; J R Pezullo; B M Ghadimi; G D Grossfeld; A Rivera; W M Linehan; G R Cunha; T Ried
Journal:  Cancer Res       Date:  2001-11-15       Impact factor: 12.701

8.  Loss of heterozygosity at 13q14 correlates with RB1 gene underexpression in human breast cancer.

Authors:  I Bièche; R Lidereau
Journal:  Mol Carcinog       Date:  2000-11       Impact factor: 4.784

9.  Overexpression of c-erbB2 protein correlates with disease-stage and chromosomal gain at the c-erbB2 locus in non-small cell lung cancer.

Authors:  G Kristiansen; Y Yu; S Petersen; O Kaufmann; K Schlüns; M Dietel; I Petersen
Journal:  Eur J Cancer       Date:  2001-06       Impact factor: 9.162

10.  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

View more
  79 in total

1.  Algorithm to identify frequent coupled modules from two-layered network series: application to study transcription and splicing coupling.

Authors:  Wenyuan Li; Chao Dai; Chun-Chi Liu; Xianghong Jasmine Zhou
Journal:  J Comput Biol       Date:  2012-06       Impact factor: 1.479

2.  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

3.  Mutation analysis of 24 known cancer genes in the NCI-60 cell line set.

Authors:  Ogechi N Ikediobi; Helen Davies; Graham Bignell; Sarah Edkins; Claire Stevens; Sarah O'Meara; Thomas Santarius; Tim Avis; Syd Barthorpe; Lisa Brackenbury; Gemma Buck; Adam Butler; Jody Clements; Jennifer Cole; Ed Dicks; Simon Forbes; Kristian Gray; Kelly Halliday; Rachel Harrison; Katy Hills; Jonathan Hinton; Chris Hunter; Andy Jenkinson; David Jones; Vivienne Kosmidou; Richard Lugg; Andrew Menzies; Tatiana Mironenko; Adrian Parker; Janet Perry; Keiran Raine; David Richardson; Rebecca Shepherd; Alex Small; Raffaella Smith; Helen Solomon; Philip Stephens; Jon Teague; Calli Tofts; Jennifer Varian; Tony Webb; Sofie West; Sara Widaa; Andy Yates; William Reinhold; John N Weinstein; Michael R Stratton; P Andrew Futreal; Richard Wooster
Journal:  Mol Cancer Ther       Date:  2006-11-06       Impact factor: 6.261

4.  iFad: an integrative factor analysis model for drug-pathway association inference.

Authors:  Haisu Ma; Hongyu Zhao
Journal:  Bioinformatics       Date:  2012-05-10       Impact factor: 6.937

5.  The glutaminase activity of L-asparaginase is not required for anticancer activity against ASNS-negative cells.

Authors:  Wai Kin Chan; Philip L Lorenzi; Andriy Anishkin; Preeti Purwaha; David M Rogers; Sergei Sukharev; Susan B Rempe; John N Weinstein
Journal:  Blood       Date:  2014-03-21       Impact factor: 22.113

Review 6.  Pharmacogenomic discovery using cell-based models.

Authors:  Marleen Welsh; Lara Mangravite; Marisa Wong Medina; Kelan Tantisira; Wei Zhang; R Stephanie Huang; Howard McLeod; M Eileen Dolan
Journal:  Pharmacol Rev       Date:  2009-12       Impact factor: 25.468

7.  Profiling SLCO and SLC22 genes in the NCI-60 cancer cell lines to identify drug uptake transporters.

Authors:  Mitsunori Okabe; Gergely Szakács; Mark A Reimers; Toshihiro Suzuki; Matthew D Hall; Takaaki Abe; John N Weinstein; Michael M Gottesman
Journal:  Mol Cancer Ther       Date:  2008-09       Impact factor: 6.261

Review 8.  Clinical uses of microarrays in cancer research.

Authors:  Carl Virtanen; James Woodgett
Journal:  Methods Mol Med       Date:  2008

9.  Asparagine synthetase is a predictive biomarker of L-asparaginase activity in ovarian cancer cell lines.

Authors:  Philip L Lorenzi; Jenny Llamas; Michele Gunsior; Laurent Ozbun; William C Reinhold; Sudhir Varma; Helen Ji; Hijoo Kim; Amy A Hutchinson; Elise C Kohn; Paul K Goldsmith; Michael J Birrer; John N Weinstein
Journal:  Mol Cancer Ther       Date:  2008-10       Impact factor: 6.261

10.  Multifactorial regulation of E-cadherin expression: an integrative study.

Authors:  William C Reinhold; Mark A Reimers; Philip Lorenzi; Jennifer Ho; Uma T Shankavaram; Micah S Ziegler; Kimberly J Bussey; Satoshi Nishizuka; Ogechi Ikediobi; Yves G Pommier; John N Weinstein
Journal:  Mol Cancer Ther       Date:  2010-01-06       Impact factor: 6.261

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.