Literature DB >> 15727486

Pharmacogenomics of fluorouracil, irinotecan, and oxaliplatin in hepatic metastases of colorectal cancer: clinical implications.

Frederike Lentz1, Agnès Tran, Elisabeth Rey, Gérard Pons, Jean-Marc Tréluyer.   

Abstract

Hepatic metastases occur in about half of patients with colorectal cancer. Since hepatic metastases are often not accessible for surgery, chemotherapy of metastases is important. The most commonly used chemotherapy drugs for hepatic metastases are fluorouracil, irinotecan, and oxaliplatin. Several enzymes are known to be involved in the catabolism and anabolism of these drugs, and the activity of these enzymes varies greatly between individuals. The causes of this variation include genetic polymorphisms, different regulation between normal and cancer tissue, and the influence of chemotherapy on enzyme expression. The varying enzyme activity may have an important effect on the outcome of chemotherapy. Several studies confirm the influence of the activity of thymidylate synthase, thymidine phosphorylase and dihydropyrimidine dehydrogenase on the outcome of fluorouracil therapy for colorectal cancer, with higher enzyme activities predicting lower treatment efficacy. Although fewer studies are available regarding therapy of hepatic metastases, the same relationship between thymidylate synthase activity and outcome of fluorouracil therapy observed for primary colorectal cancer was found. For the other two enzymes, only a few studies are available, but the results indicate similarly that higher enzyme activity seems to be disadvantageous. The enzymes responsible for the activation, metabolism and mechanism of action of irinotecan, namely carboxylesterase 2, cytochrome P450 (CYP) 3A4, uridine diphosphate glucuronosyltransferase isoform 1A1 (UGT1A1), and topoisomerase-I, also exhibit variable interindividual activity. Thus, there may be an association between enzyme activity and response to therapy. For instance, in patients with colorectal cancer, higher enzyme activity of topoisomerase-I seems to be predictive of a better response to irinotecan. CYP3A4 and UGT1A1 activity levels might be predictive of irinotecan toxicity rather than efficacy. The degradation of oxaliplatin is independent of potentially varying enzyme activity, but for this drug, the DNA repair enzyme ERCC1 may influence the survival time after chemotherapy. Taken together, the available data indicate the importance of the different enzyme activities on the outcome of chemotherapy of hepatic metastases in colorectal cancer. More information is needed, especially for the newer drugs irinotecan and oxaliplatin. However, the existing data are very promising in respect to the potential to guide dose and drug selection for more efficient and less toxic chemotherapy of hepatic metastases.

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Year:  2005        PMID: 15727486     DOI: 10.2165/00129785-200505010-00002

Source DB:  PubMed          Journal:  Am J Pharmacogenomics        ISSN: 1175-2203


  6 in total

1.  Genetic polymorphism of XRCC1 correlated with response to oxaliplatin-based chemotherapy in advanced colorectal cancer.

Authors:  Hongying Lv; Qicai Li; Wengsheng Qiu; Jinyu Xiang; Hongjun Wei; Hua Liang; Aihua Sui; Jun Liang
Journal:  Pathol Oncol Res       Date:  2012-05-02       Impact factor: 3.201

2.  Can we improve the clinical risk score? The prognostic value of p53, Ki-67 and thymidylate synthase in patients undergoing radical resection of colorectal liver metastases.

Authors:  Arpad Ivanecz; Rajko Kavalar; Miroslav Palfy; Vid Pivec; Marko Sremec; Matjaž Horvat; Stojan Potrč
Journal:  HPB (Oxford)       Date:  2013-03-19       Impact factor: 3.647

3.  Upregulation of ERCC1 and DPD expressions after oxaliplatin-based first-line chemotherapy for metastatic colorectal cancer.

Authors:  H Baba; M Watanabe; H Okabe; Y Miyamoto; Y Sakamoto; Y Baba; M Iwatsuki; A Chikamoto; T Beppu
Journal:  Br J Cancer       Date:  2012-11-20       Impact factor: 7.640

4.  Effect of Uncaria tomentosa Extract on Apoptosis Triggered by Oxaliplatin Exposure on HT29 Cells.

Authors:  Liliane Z de Oliveira; Iria Luiza G Farias; Melânia L Rigo; Werner G Glanzner; Paulo Bayard D Gonçalves; Francine C Cadoná; Ivana B Cruz; Júlia G Farias; Marta M M F Duarte; Luzia Franco; Gustavo Bertol; Elisangela Colpo; Patricia C Brites; João Batista T Rocha; Daniela B R Leal
Journal:  Evid Based Complement Alternat Med       Date:  2014-11-11       Impact factor: 2.629

5.  Deciphering cellular states of innate tumor drug responses.

Authors:  Esther Graudens; Virginie Boulanger; Cindy Mollard; Régine Mariage-Samson; Xavier Barlet; Guilaine Grémy; Christine Couillault; Malika Lajémi; Dominique Piatier-Tonneau; Patrick Zaborski; Eric Eveno; Charles Auffray; Sandrine Imbeaud
Journal:  Genome Biol       Date:  2006-03-15       Impact factor: 13.583

6.  Applying of hierarchical clustering to analysis of protein patterns in the human cancer-associated liver.

Authors:  Natalia A Petushkova; Mikhail A Pyatnitskiy; Vladislav A Rudenko; Olesya V Larina; Oxana P Trifonova; Julya S Kisrieva; Natalia F Samenkova; Galina P Kuznetsova; Irina I Karuzina; Andrey V Lisitsa
Journal:  PLoS One       Date:  2014-08-01       Impact factor: 3.240

  6 in total

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