Literature DB >> 22838950

Effect of genetic polymorphisms on therapeutic response and clinical outcomes in pancreatic cancer patients treated with gemcitabine.

Hye In Woo1, Ka-Kyung Kim, Hangseok Choi, Seonwoo Kim, Kee-Taek Jang, Jun Ho Yi, Young Suk Park, Joon Oh Park, Soo-Youn Lee.   

Abstract

AIM: Gemcitabine is the first chemotherapeutic agent to show clinical benefits in pancreatic cancer patients. While interindividual variability in chemoresponse is observed, genetic factors that affect drug metabolism have not been clearly defined. The purpose of this study is to evaluate the relationships between genetic polymorphisms and therapeutic efficacy in pancreatic cancer patients treated with gemcitabine. PATIENTS &
METHODS: The study population consisted of 102 pancreatic cancer patients who had been treated with a gemcitabine-based chemotherapeutic regimen. 102 genetic polymorphisms were selected from 23 genes involved in the metabolism and action sites of gemcitabine and screened for polymorphisms using the MassARRAY(®) system. The polymorphisms and haplotypes were analyzed in relation to overall survival (OS), time-to-progression (TTP) and disease progression.
RESULTS: CMPK1 360C>T was significantly associated with OS, TTP and disease progression (p = 0.042, 0.007 and 0.040, respectively, in a dominant genetic model). Additionally, CMPK1 240G>T was correlated with OS and TTP. The frequencies of the haplotypes for the CMPK1, SLC28A1, DCTD and TLE4 genes differed according to disease progression.
CONCLUSION: Genetic polymorphisms in genes related to metabolism and action sites of gemcitabine showed associations with the therapeutic efficacy, in terms of OS, TTP and disease progression in pancreatic cancer patients treated with gemcitabine-based chemotherapy. In particular, polymorphisms of the CMPK1 gene seem to provide important prognostic information.

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Year:  2012        PMID: 22838950     DOI: 10.2217/pgs.12.82

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  5 in total

1.  PharmGKB summary: gemcitabine pathway.

Authors:  Maria L Alvarellos; Jatinder Lamba; Katrin Sangkuhl; Caroline F Thorn; Liewei Wang; Daniel J Klein; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2014-11       Impact factor: 2.089

2.  Comparative proteome analysis revealing an 11-protein signature for aggressive triple-negative breast cancer.

Authors:  Ning Qing Liu; Christoph Stingl; Maxime P Look; Marcel Smid; René B H Braakman; Tommaso De Marchi; Anieta M Sieuwerts; Paul N Span; Fred C G J Sweep; Barbro K Linderholm; Anita Mangia; Angelo Paradiso; Luc Y Dirix; Steven J Van Laere; Theo M Luider; John W M Martens; John A Foekens; Arzu Umar
Journal:  J Natl Cancer Inst       Date:  2014-01-07       Impact factor: 13.506

3.  Prognostic significance of nuclear expression of UMP-CMP kinase in triple negative breast cancer patients.

Authors:  Ning Qing Liu; Tommaso De Marchi; Annemieke Timmermans; Anita M A C Trapman-Jansen; Renée Foekens; Maxime P Look; Marcel Smid; Carolien H M van Deurzen; Paul N Span; Fred C G J Sweep; Julie Benedicte Brask; Vera Timmermans-Wielenga; John A Foekens; John W M Martens; Arzu Umar
Journal:  Sci Rep       Date:  2016-08-25       Impact factor: 4.379

4.  Knockdown of POLA2 increases gemcitabine resistance in lung cancer cells.

Authors:  Vivien Koh; Hsueh Yin Kwan; Woei Loon Tan; Tzia Liang Mah; Wei Peng Yong
Journal:  BMC Genomics       Date:  2016-12-22       Impact factor: 3.969

Review 5.  Nucleobase and Nucleoside Analogues: Resistance and Re-Sensitisation at the Level of Pharmacokinetics, Pharmacodynamics and Metabolism.

Authors:  Nikolaos Tsesmetzis; Cynthia B J Paulin; Sean G Rudd; Nikolas Herold
Journal:  Cancers (Basel)       Date:  2018-07-23       Impact factor: 6.639

  5 in total

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