Literature DB >> 17942888

Silent polymorphisms speak: how they affect pharmacogenomics and the treatment of cancer.

Zuben E Sauna1, Chava Kimchi-Sarfaty, Suresh V Ambudkar, Michael M Gottesman.   

Abstract

Polymorphisms in the human genome contribute to wide variations in how individuals respond to medications, either by changing the pharmacokinetics of drugs or by altering the cellular response to therapeutic agents. The goal of the emerging discipline of pharmacogenomics is to personalize therapy based on an individual's genotype. Due to the relatively large frequency of single-nucleotide polymorphisms (SNP) in the human genome, synonymous SNPs are often disregarded in many pharmacogenomic studies based on the assumption that these are silent. We have shown recently that synonymous SNPs in ABCB1 (P-glycoprotein), which is implicated both in determining drug pharmacokinetics and multidrug resistance in human cancer cells, can affect protein conformation and function. We discuss the importance of polymorphisms in drug metabolizing enzymes and transporters in anticancer therapy and suggest that synonymous polymorphisms may play a more significant role than is currently assumed.

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Year:  2007        PMID: 17942888     DOI: 10.1158/0008-5472.CAN-07-2377

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  88 in total

Review 1.  Part 1: background, methodology, and clinical adoption of pharmacogenetics.

Authors:  Maarten J Deenen; Annemieke Cats; Jos H Beijnen; Jan H M Schellens
Journal:  Oncologist       Date:  2011-05-31

2.  Evaluation of single nucleotide polymorphisms (SNPs) in the p53 binding protein 1 (TP53BP1) gene in breast cancer patients treated with breast-conserving surgery and whole-breast irradiation (BCS + RT).

Authors:  Bruce G Haffty; Sharad Goyal; Diptee Kulkarni; Camille Green; Alexi Vazquez; Devora Schiff; Meena S Moran; Qifeng Yang; Shridar Ganesan; Kim M Hirsfield
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-18       Impact factor: 7.038

3.  Polymorphisms of estrogen receptors and risk of biliary tract cancers and gallstones: a population-based study in Shanghai, China.

Authors:  Sue K Park; Gabriella Andreotti; Asif Rashid; Jinbo Chen; Philip S Rosenberg; Kai Yu; Jennifer Olsen; Yu-Tang Gao; Jie Deng; Lori C Sakoda; Mingdong Zhang; Ming-Chang Shen; Bing-Sheng Wang; Tian-Quan Han; Bai-He Zhang; Meredith Yeager; Stephen J Chanock; Ann W Hsing
Journal:  Carcinogenesis       Date:  2010-02-19       Impact factor: 4.944

4.  Wnt antagonist gene polymorphisms and renal cancer.

Authors:  Hiroshi Hirata; Yuji Hinoda; Koichi Nakajima; Nobuyuki Kikuno; Soichiro Yamamura; Kazumori Kawakami; Yutaka Suehiro; Z Laura Tabatabai; Nobuhisa Ishii; Rajvir Dahiya
Journal:  Cancer       Date:  2009-10-01       Impact factor: 6.860

Review 5.  Understanding the contribution of synonymous mutations to human disease.

Authors:  Zuben E Sauna; Chava Kimchi-Sarfaty
Journal:  Nat Rev Genet       Date:  2011-08-31       Impact factor: 53.242

6.  Integrin genetic variants and stage-specific tumor recurrence in patients with stage II and III colon cancer.

Authors:  P Bohanes; D Yang; F Loupakis; M J LaBonte; A Gerger; Y Ning; C Lenz; F Lenz; T Wakatsuki; W Zhang; L Benhaim; A El-Khoueiry; R El-Khoueiry; H-J Lenz
Journal:  Pharmacogenomics J       Date:  2014-12-09       Impact factor: 3.550

7.  Identification of association of common AGGF1 variants with susceptibility for Klippel-Trenaunay syndrome using the structure association program.

Authors:  Y Hu; L Li; S B Seidelmann; A A Timur; P H Shen; D J Driscoll; Q K Wang
Journal:  Ann Hum Genet       Date:  2008-06-16       Impact factor: 1.670

8.  Synonymous ABCA3 variants do not increase risk for neonatal respiratory distress syndrome.

Authors:  Jennifer A Wambach; Daniel J Wegner; Hillary B Heins; Todd E Druley; Robi D Mitra; Aaron Hamvas; F Sessions Cole
Journal:  J Pediatr       Date:  2014-03-20       Impact factor: 4.406

Review 9.  CXCR2 and RET single nucleotide polymorphisms in pancreatic cancer.

Authors:  Timothy R Donahue; O Joe Hines
Journal:  World J Surg       Date:  2009-04       Impact factor: 3.352

10.  An integrated approach to the interpretation of single amino acid polymorphisms within the framework of CATH and Gene3D.

Authors:  Jose M G Izarzugaza; Anja Baresic; Lisa E M McMillan; Corin Yeats; Andrew B Clegg; Christine A Orengo; Andrew C R Martin; Alfonso Valencia
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

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