Literature DB >> 23183705

Cancer pharmacogenomics: strategies and challenges.

Heather E Wheeler1, Michael L Maitland, M Eileen Dolan, Nancy J Cox, Mark J Ratain.   

Abstract

Genetic variation influences the response of an individual to drug treatments. Understanding this variation has the potential to make therapy safer and more effective by determining selection and dosing of drugs for an individual patient. In the context of cancer, tumours may have specific disease-defining mutations, but a patient's germline genetic variation will also affect drug response (both efficacy and toxicity), and here we focus on how to study this variation. Advances in sequencing technologies, statistical genetics analysis methods and clinical trial designs have shown promise for the discovery of variants associated with drug response. We discuss the application of germline genetics analysis methods to cancer pharmacogenomics with a focus on the special considerations for study design.

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Year:  2012        PMID: 23183705      PMCID: PMC3668552          DOI: 10.1038/nrg3352

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  123 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

3.  Upward bias in odds ratio estimates from genome-wide association studies.

Authors:  Chad Garner
Journal:  Genet Epidemiol       Date:  2007-05       Impact factor: 2.135

4.  Germline polymorphisms discovered via a cell-based, genome-wide approach predict platinum response in head and neck cancers.

Authors:  Dana Ziliak; Peter H O'Donnell; Hae Kyung Im; Eric R Gamazon; Peixian Chen; Shannon Delaney; Sunita Shukla; Soma Das; Nancy J Cox; Everett E Vokes; Ezra E W Cohen; M Eileen Dolan; R Stephanie Huang
Journal:  Transl Res       Date:  2011-02-08       Impact factor: 7.012

5.  A genome-wide association study identifies novel loci for paclitaxel-induced sensory peripheral neuropathy in CALGB 40101.

Authors:  R Michael Baldwin; Kouros Owzar; Hitoshi Zembutsu; Aparna Chhibber; Michiaki Kubo; Chen Jiang; Dorothy Watson; Rachel J Eclov; Joel Mefford; Howard L McLeod; Paula N Friedman; Clifford A Hudis; Eric P Winer; Eric M Jorgenson; John S Witte; Lawrence N Shulman; Yusuke Nakamura; Mark J Ratain; Deanna L Kroetz
Journal:  Clin Cancer Res       Date:  2012-07-27       Impact factor: 12.531

6.  An integrative method for scoring candidate genes from association studies: application to warfarin dosing.

Authors:  Nicholas P Tatonetti; Joel T Dudley; Hersh Sagreiya; Atul J Butte; Russ B Altman
Journal:  BMC Bioinformatics       Date:  2010-10-28       Impact factor: 3.169

Review 7.  The 1200 patients project: creating a new medical model system for clinical implementation of pharmacogenomics.

Authors:  P H O'Donnell; A Bush; J Spitz; K Danahey; D Saner; S Das; N J Cox; M J Ratain
Journal:  Clin Pharmacol Ther       Date:  2012-08-29       Impact factor: 6.875

Review 8.  Comprehensive literature review and statistical considerations for GWAS meta-analysis.

Authors:  Ferdouse Begum; Debashis Ghosh; George C Tseng; Eleanor Feingold
Journal:  Nucleic Acids Res       Date:  2012-01-12       Impact factor: 16.971

9.  KRAS codon 61, 146 and BRAF mutations predict resistance to cetuximab plus irinotecan in KRAS codon 12 and 13 wild-type metastatic colorectal cancer.

Authors:  F Loupakis; A Ruzzo; C Cremolini; B Vincenzi; L Salvatore; D Santini; G Masi; I Stasi; E Canestrari; E Rulli; I Floriani; K Bencardino; N Galluccio; V Catalano; G Tonini; M Magnani; G Fontanini; F Basolo; A Falcone; F Graziano
Journal:  Br J Cancer       Date:  2009-07-14       Impact factor: 7.640

10.  Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.

Authors:  Chris C A Spencer; Zhan Su; Peter Donnelly; Jonathan Marchini
Journal:  PLoS Genet       Date:  2009-05-15       Impact factor: 5.917

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  87 in total

1.  Evaluating the role of admixture in cancer therapy via in vitro drug response and multivariate genome-wide associations.

Authors:  John Jack; Tammy M Havener; Howard L McLeod; Alison A Motsinger-Reif; Matthew Foster
Journal:  Pharmacogenomics       Date:  2015-08-28       Impact factor: 2.533

2.  Evaluation of a two-step iterative resampling procedure for internal validation of genome-wide association studies.

Authors:  Guolian Kang; Wei Liu; Cheng Cheng; Carmen L Wilson; Geoffrey Neale; Jun J Yang; Kirsten K Ness; Leslie L Robison; Melissa M Hudson; Deo Kumar Srivastava
Journal:  J Hum Genet       Date:  2015-09-17       Impact factor: 3.172

Review 3.  Implications of genome-wide association studies in cancer therapeutics.

Authors:  Jai N Patel; Howard L McLeod; Federico Innocenti
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

4.  Genetic Modifiers of Progression-Free Survival in Never-Smoking Lung Adenocarcinoma Patients Treated with First-Line Tyrosine Kinase Inhibitors.

Authors:  I-Shou Chang; Shih Sheng Jiang; James Chih-Hsin Yang; Wu-Chou Su; Li-Hsin Chien; Chin-Fu Hsiao; Jih-Hsiang Lee; Chih-Yi Chen; Chung-Hsing Chen; Gee-Chen Chang; Zhaoming Wang; Fang-Yi Lo; Kuan-Yu Chen; Wen-Chang Wang; Yuh-Min Chen; Ming-Shyan Huang; Ying-Huang Tsai; Yu-Chun Su; Wan-Shan Hsieh; Wen-Chi Shih; Shwn-Huey Shieh; Tsung-Ying Yang; Qing Lan; Nathaniel Rothman; Chien-Jen Chen; Stephen J Chanock; Pan-Chyr Yang; Chao A Hsiung
Journal:  Am J Respir Crit Care Med       Date:  2017-03-01       Impact factor: 21.405

Review 5.  Genomic era diagnosis and management of hereditary and sporadic colon cancer.

Authors:  Edward David Esplin; Michael Paul Snyder
Journal:  World J Clin Oncol       Date:  2014-12-10

6.  Personalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease.

Authors:  Edward D Esplin; Ling Oei; Michael P Snyder
Journal:  Pharmacogenomics       Date:  2014-11       Impact factor: 2.533

Review 7.  Precision medicine and pharmacogenetics: what does oncology have that addiction medicine does not?

Authors:  Henry R Kranzler; Rachel V Smith; Robert Schnoll; Afaf Moustafa; Emma Greenstreet-Akman
Journal:  Addiction       Date:  2017-04-21       Impact factor: 6.526

8.  Decreasing Cost and Decreasing Length of Stay After Implementation of Updated High-Dose Methotrexate Discharge Criteria.

Authors:  Adam F Binder; Samantha Burdette; Patricia Galanis; Katlin Birchmeier; Nathan Handley; Maria Piddoubny
Journal:  JCO Oncol Pract       Date:  2020-02-25

Review 9.  Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer.

Authors:  Tim N Beck; Adaeze J Chikwem; Nehal R Solanki; Erica A Golemis
Journal:  Physiol Genomics       Date:  2014-08-05       Impact factor: 3.107

10.  A new system identification approach to identify genetic variants in sequencing studies for a binary phenotype.

Authors:  Guolian Kang; Wenjian Bi; Yanlong Zhao; Ji-Feng Zhang; Jun J Yang; Heng Xu; Mignon L Loh; Stephen P Hunger; Mary V Relling; Stanley Pounds; Cheng Cheng
Journal:  Hum Hered       Date:  2014-07-30       Impact factor: 0.444

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