Literature DB >> 18681783

Pharmacogenetics in colorectal cancer: a systematic review.

Silvia Funke1, Hermann Brenner, Jenny Chang-Claude.   

Abstract

Pharmacological treatment of colorectal cancer has improved survival rates in recent years. Individual genetic variation in genes associated with metabolism and targets of commonly used drugs can be responsible for variability in treatment outcome and toxicity. Diverse study designs have been used and heterogeneous end points evaluated by studies assessing the association of genetic markers with treatment outcome. We conducted this systematic review, including 51 studies, to present a comprehensive overview and draw further conclusions. To facilitate comparison of reported study results, risk estimates for observed genetic variants in 33 key genes are presented using defined reference categories and recalculated risk estimates based on data provided in original publications, where necessary. Overall, evidence indicates associations of the UGT1A1(*) 28 variant genotype with toxicity after irinotecan treatment, mutations in GSTP1-105 with improved treatment outcome and the XPD-751 variant genotype with poor treatment outcome after oxaliplatin treatment, and amplification of the EGFR gene with improved treatment outcome after therapy with monoclonal antibodies. Adequately powered prospective investigations designed specifically for pharmacogenetics are needed.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18681783     DOI: 10.2217/14622416.9.8.1079

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


  9 in total

1.  A phase I, dose-finding study of sunitinib in combination with irinotecan in patients with advanced solid tumours.

Authors:  E Boven; C Massard; J P Armand; C Tillier; V Hartog; N M Brega; A M Countouriotis; A Ruiz-Garcia; J C Soria
Journal:  Br J Cancer       Date:  2010-08-17       Impact factor: 7.640

Review 2.  PharmGKB summary: very important pharmacogene information for the epidermal growth factor receptor.

Authors:  Ugur Hodoglugil; Michelle W Carrillo; Joan M Hebert; Niki Karachaliou; Rafael C Rosell; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2013-11       Impact factor: 2.089

Review 3.  Pharmacogenomics, biomarker network, and allele frequencies in colorectal cancer.

Authors:  Andrés López-Cortés; César Paz-Y-Miño; Santiago Guerrero; Gabriela Jaramillo-Koupermann; Ángela León Cáceres; Dámaris P Intriago-Baldeón; Jennyfer M García-Cárdenas; Patricia Guevara-Ramírez; Isaac Armendáriz-Castillo; Paola E Leone; Luis Abel Quiñones; Juan Pablo Cayún; Néstor W Soria
Journal:  Pharmacogenomics J       Date:  2019-10-15       Impact factor: 3.550

4.  Prediction of irinotecan and 5-fluorouracil toxicity and response in patients with advanced colorectal cancer.

Authors:  B Glimelius; H Garmo; A Berglund; L A Fredriksson; M Berglund; H Kohnke; P Byström; H Sørbye; M Wadelius
Journal:  Pharmacogenomics J       Date:  2010-02-23       Impact factor: 3.550

5.  Role of GSTM1 Copy Number Variant in the Prognosis ofzzm321990Thai Colorectal Cancer Patients Treated with 5-FU-basedzzm321990Chemotherapy

Authors:  Tanett Pongtheerat; Pensri Saelee
Journal:  Asian Pac J Cancer Prev       Date:  2016-10-01

Review 6.  Colon Cancer Pharmacogenetics: A Narrative Review.

Authors:  Álvaro Esteban Alfaro Alfaro; Brayan Murillo Castillo; Eugenia Cordero García; Javier Tascón; Ana I Morales
Journal:  Pharmacy (Basel)       Date:  2022-08-05

Review 7.  Treatment in advanced colorectal cancer: what, when and how?

Authors:  I Chau; D Cunningham
Journal:  Br J Cancer       Date:  2009-05-12       Impact factor: 7.640

8.  Association of UGT1A1*28 polymorphisms with irinotecan-induced toxicities in colorectal cancer: a meta-analysis in Caucasians.

Authors:  X Liu; D Cheng; Q Kuang; G Liu; W Xu
Journal:  Pharmacogenomics J       Date:  2013-03-26       Impact factor: 3.550

9.  GALNT14 Genotype Predicts Postoperative Outcome of Stage III Colorectal Cancer With Oxaliplatin as Adjuvant Chemotherapy.

Authors:  Wey-Ran Lin; Jy-Ming Chiang; Kung-Hao Liang; Siew-Na Lim; Ming-Wei Lai; Yung-Kuan Tsou; Tzu-Yun Hsieh; Chih-Kai Hsu; Chau-Ting Yeh
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.