Literature DB >> 25751395

Cancer pharmacogenomics: implications on ethnic diversity and drug response.

Jai N Patel1.   

Abstract

The goal of pharmacogenomic research is to discover and validate genetic variants that are predictive of drug response, for eventual implementation into clinical practice. Cancer pharmacogenomics provides the opportunity to analyze two sets of DNA, that of the tumor (somatic) and that of the host (germline). Germline variants are inherited variations and are often associated with the pharmacokinetic behavior of a drug, including drug disposition and ultimately drug efficacy and/or toxicity, whereas somatic mutations are often useful in predicting the pharmacodynamic response to drugs. Pharmacoethnicity, or ethnic diversity in drug response or toxicity, is an increasingly recognized factor accounting for interindividual variations in anticancer drug response. Pharmacoethnicity is often determined by germline pharmacogenomic factors and the distribution of single nucleotide polymorphisms across various populations, but it may also be influenced by nongenetic factors, such as environmental factors. This review aims to elucidate the importance of pharmacoethnicity in cancer pharmacogenomic research and implementation, focusing solely on germline variants.

Entities:  

Mesh:

Year:  2015        PMID: 25751395     DOI: 10.1097/FPC.0000000000000134

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  13 in total

1.  Integration of Germline Pharmacogenetics Into a Tumor Sequencing Program.

Authors:  Daniel L Hertz; Andrew Glatz; Amy L Pasternak; Robert J Lonigro; Pankaj Vats; Yi-Mi Wu; Bailey Anderson; Erica Rabban; Erika Mora; Kevin Frank; Dan R Robinson; Rajen J Mody; Arul Chinnaiyan
Journal:  JCO Precis Oncol       Date:  2018-07-23

Review 2.  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

Review 3.  Health equality, race and pharmacogenomics.

Authors:  Emma F Magavern; Deepti Gurdasani; Fu L Ng; Sandra Soo-Jin Lee
Journal:  Br J Clin Pharmacol       Date:  2021-08-04       Impact factor: 4.335

4.  Editorial: Improving cancer chemotherapy through pharmacogenomics: a research topic.

Authors:  Luis A Quiñones; Kuen S Lee
Journal:  Front Genet       Date:  2015-06-03       Impact factor: 4.599

Review 5.  Improving medical students' knowledge of genetic disease: a review of current and emerging pedagogical practices.

Authors:  Michael J Wolyniak; Lynne T Bemis; Amy J Prunuske
Journal:  Adv Med Educ Pract       Date:  2015-10-29

Review 6.  Cancer pharmacogenomics, challenges in implementation, and patient-focused perspectives.

Authors:  Jai N Patel
Journal:  Pharmgenomics Pers Med       Date:  2016-07-12

7.  The impact of DNA damage response gene polymorphisms on therapeutic outcomes in late stage ovarian cancer.

Authors:  F Guffanti; R Fruscio; E Rulli; G Damia
Journal:  Sci Rep       Date:  2016-12-01       Impact factor: 4.379

8.  Feasibility and Efficacy of Eribulin Mesilate in Korean Patients with Metastatic Breast Cancer: Korean Multi-center Phase IV Clinical Study Results.

Authors:  Yeon Hee Park; Tae Yong Kim; Young-Hyuck Im; Keun-Seok Lee; In Hae Park; Joohyuk Sohn; Soo-Hyeon Lee; Seock-Ah Im; Jee Hyun Kim; Se Hyun Kim; Soo Jung Lee; Su-Jin Koh; Ki Hyeong Lee; Yoon Ji Choi; Eun Kyung Cho; Suee Lee; Seok Yun Kang; Jae Hong Seo; Sung-Bae Kim; Kyung Hae Jung
Journal:  Cancer Res Treat       Date:  2016-08-03       Impact factor: 4.679

9.  Drug-sensitive FGFR3 mutations in lung adenocarcinoma.

Authors:  P Chandrani; K Prabhash; R Prasad; V Sethunath; M Ranjan; P Iyer; J Aich; H Dhamne; D N Iyer; P Upadhyay; B Mohanty; P Chandna; R Kumar; A Joshi; V Noronha; V Patil; A Ramaswamy; A Karpe; R Thorat; P Chaudhari; A Ingle; A Choughule; A Dutt
Journal:  Ann Oncol       Date:  2017-03-01       Impact factor: 32.976

10.  Genetic polymorphisms of pharmacogenomic VIP variants in the Lisu population of southwestern China: A cohort study.

Authors:  Bin Li; Li Wang; Lingyu Lei; Mingxiang Zhang; Fanglin Niu; Peng Chen; Tianbo Jin
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.817

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