Literature DB >> 21499559

Cell-based Models for Discovery of Pharmacogenomic Markers of Anticancer Agent Toxicity.

Wei Zhang1, R Stephanie Huang, M Eileen Dolan.   

Abstract

The field of pharmacogenomics is challenging because of the multigenic nature of drug response and toxicity. The candidate gene approach has been traditionally utilized to determine the contribution of genetic variation to a particular phenotype; however, the sequencing of the human genome and the genetic resource provided by the International HapMap Project has allowed researchers to perform genome-wide studies without a priori knowledge. Recent work has demonstrated the usefulness of cell-based models for pharmacogenomic discovery using the HapMap samples, which are a panel of well-genotyped, human lymphoblastoid cell lines (LCLs) derived from 90 Utah residents with ancestry from northern and western Europe (CEU), 90 Yoruba in Ibadan, Nigeria (YRI), 45 Japanese in Tokyo, Japan (JPT) and 45 Han Chinese in Beijing, China (CHB). Using these cell-based models, investigators are able to study not only individual variation in drug response, but also population differences in drug response. Finally, besides single nucleotide polymorphisms (SNPs) and gene expression, these cell-based models can also be used to investigate other genetic (e.g. copy number variants, CNVs), epigenetic or environmental factors responsible for drug response.

Entities:  

Year:  2008        PMID: 21499559      PMCID: PMC3076057     

Source DB:  PubMed          Journal:  Trends Cancer Res        ISSN: 0973-1040


  70 in total

1.  A general test of association for quantitative traits in nuclear families.

Authors:  G R Abecasis; L R Cardon; W O Cookson
Journal:  Am J Hum Genet       Date:  2000-01       Impact factor: 11.025

Review 2.  Apolipoprotein E polymorphisms and concentration in chronic diseases and drug responses.

Authors:  G Siest; P Bertrand; B Herbeth; M Vincent-Viry; F Schiele; C Sass; S Visvikis
Journal:  Clin Chem Lab Med       Date:  2000-09       Impact factor: 3.694

3.  Transcriptional response of lymphoblastoid cells to ionizing radiation.

Authors:  Kuang-Yu Jen; Vivian G Cheung
Journal:  Genome Res       Date:  2003-08-12       Impact factor: 9.043

Review 4.  Pharmacogenetics of drug-metabolizing enzymes: implications for a safer and more effective drug therapy.

Authors:  Magnus Ingelman-Sundberg; Cristina Rodriguez-Antona
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

5.  Centre d'etude du polymorphisme humain (CEPH): collaborative genetic mapping of the human genome.

Authors:  J Dausset; H Cann; D Cohen; M Lathrop; J M Lalouel; R White
Journal:  Genomics       Date:  1990-03       Impact factor: 5.736

Review 6.  Genetic polymorphisms of drug-metabolising enzymes and drug transporters in the chemotherapeutic treatment of cancer.

Authors:  Tessa M Bosch; Irma Meijerman; Jos H Beijnen; Jan H M Schellens
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

7.  Effect of population and gender on chemotherapeutic agent-induced cytotoxicity.

Authors:  Rong Stephanie Huang; Emily O Kistner; Wasim K Bleibel; Sunita J Shukla; M Eileen Dolan
Journal:  Mol Cancer Ther       Date:  2007-01       Impact factor: 6.261

8.  Integrating Epigenomics into Pharmacogenomic Studies.

Authors:  Wei Zhang; R Stephanie Huang; M Eileen Dolan
Journal:  Pharmgenomics Pers Med       Date:  2008-11

9.  Genetic variants associated with carboplatin-induced cytotoxicity in cell lines derived from Africans.

Authors:  R Stephanie Huang; Shiwei Duan; Emily O Kistner; Christine M Hartford; M Eileen Dolan
Journal:  Mol Cancer Ther       Date:  2008-09-02       Impact factor: 6.261

10.  Searching for tissue-specific expression pattern-linked nucleotides of UGT1A isoforms.

Authors:  Wei Zhang; Wanqing Liu; Federico Innocenti; Mark J Ratain
Journal:  PLoS One       Date:  2007-04-25       Impact factor: 3.240

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  4 in total

1.  A pharmacogene database enhanced by the 1000 Genomes Project.

Authors:  Eric R Gamazon; Wei Zhang; R Stephanie Huang; M Eileen Dolan; Nancy J Cox
Journal:  Pharmacogenet Genomics       Date:  2009-10       Impact factor: 2.089

2.  A comparison of association methods for cytotoxicity mapping in pharmacogenomics.

Authors:  Chad Brown; Tammy M Havener; Lorraine Everitt; Howard McLeod; Alison A Motsinger-Reif
Journal:  Front Genet       Date:  2011-12-14       Impact factor: 4.599

3.  Integrating cell-based and clinical genome-wide studies to identify genetic variants contributing to treatment failure in neuroblastoma patients.

Authors:  N Pinto; E R Gamazon; N Antao; J Myers; A L Stark; A Konkashbaev; H K Im; S J Diskin; W B London; S M Ludeman; J M Maris; N J Cox; S L Cohn; M E Dolan
Journal:  Clin Pharmacol Ther       Date:  2014-02-18       Impact factor: 6.875

4.  Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients.

Authors:  Gladys Morrison; Divya Lenkala; Bonnie LaCroix; Dana Ziliak; Vandana Abramson; Phuong Khanh Morrow; Andres Forero; Catherine Van Poznak; Hope S Rugo; Rita Nanda; Peter H O'Donnell; R Stephanie Huang
Journal:  Oncotarget       Date:  2016-06-21
  4 in total

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