Literature DB >> 19956892

Association of the ABCB1 3435C>T polymorphism and treatment outcomes in advanced gastric cancer patients treated with paclitaxel-based chemotherapy.

Hyun Chang1, Sun Young Rha, Hei-Cheul Jeung, Chong Kun Im, Sung Hoon Noh, Jin Ju Kim, Hyun Cheol Chung.   

Abstract

We evaluated the frequency of ABCB1 polymorphisms (2677G/T>A and 3435C>T) and studied the association between the polymorphisms and clinical outcomes of paclitaxel-based chemotherapy in advanced gastric cancer patients. This study was performed in 43 gastric cancer patients and a control group consisting of 118 healthy volunteers. Patients were treated with paclitaxel combined with an infusional 5-fluorouracil and low-dose leucovorin. Genomic DNA from peripheral blood mononuclear cells was used to determine ABCB1 polymorphisms by direct sequencing. Genotypes were investigated for their association with survival and toxicity. The ABCB1 3435 C allele was more frequent in gastric cancer patients than healthy volunteers (p<0.001). The 2677G>T/A and 3435C>T polymorphisms were independent factors associated with shorter progression-free survival (PFS) (p=0.024, p=0.001, respectively). In combined analysis of 2677 and 3435 polymorphisms, the 3435C>T polymorphism was an independent factor for poor PFS (p=0.01). The 3435CT and TT genotypes were associated with mucositis (p=0.04), and the variant genotypes at 2677 loci were associated with diarrhea (p=0.034). Our data suggest that the ABCB1 polymorphism at 3435 is associated with clinical outcomes after paclitaxel-based combined chemotherapy in advanced gastric cancer patients.

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Year:  2010        PMID: 19956892

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  13 in total

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3.  Inhibiting casein kinase 2 overcomes paclitaxel resistance in gastric cancer.

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Journal:  Gastric Cancer       Date:  2019-05-16       Impact factor: 7.370

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9.  The association between polymorphisms in the MDR1 gene and risk of cancer: a systematic review and pooled analysis of 52 case-control studies.

Authors:  Ling-Hui Wang; Yan-Bin Song; Wen-Ling Zheng; Ling Jiang; Wen-Li Ma
Journal:  Cancer Cell Int       Date:  2013-05-20       Impact factor: 5.722

Review 10.  SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand.

Authors:  Raffaele Palmirotta; Claudia Carella; Erica Silvestris; Mauro Cives; Stefania Luigia Stucci; Marco Tucci; Domenica Lovero; Franco Silvestris
Journal:  Oncotarget       Date:  2018-05-18
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