Literature DB >> 21635146

GALNT14 SNP as a potential predictor of response to combination chemotherapy using 5-FU, mitoxantrone and cisplatin in advanced HCC.

Kung-Hao Liang1, Chen-Chun Lin, Chau-Ting Yeh.   

Abstract

AIM: Despite the availability of targeted anticancer agents, combination chemotherapy remains an option for patients with far advanced hepatocellular carcinoma. We aimed to identify germline SNP markers in order to predict the objective response of combination chemotherapy using 5-fluorouracil, mitoxantrone and cisplatin (FMP). MATERIALS &
METHODS: This study was conducted in two steps. First, a genome-wide retrospective screen was performed in a cohort of 16 patients. A candidate SNP marker was identified as being associated with the objective responses to the first course of FMP. Second, a validation of this candidate SNP was performed prospectively in an independent cohort of 41 patients. The survival curves were also compared in patient subgroups stratified by the SNP marker.
RESULTS: The genome-wide screening revealed several candidate markers, including seven adjacent SNPs residing in a 5-kb linkage disequilibrium block and in an intronic region of GALNT14 on chromosome 2. Among them, the SNP rs9679162 manifested the strongest association when genotypic tests and kernel-based association tests were performed. Significant association was found again between rs9679162 and the therapeutic responses in the validation cohort (p = 0.006326). A follow-up survival analysis demonstrated that patients with a homozygous rs9679162 genotype had better progression-free survival in both the retrospective and prospective cohorts (p = 0.00041 and 0.01485, respectively) than the other genotypes did. However, the overall survival curve is only different in the retrospective cohort (p = 0.00622) and not in the prospective cohort.
CONCLUSION: The rs9679162 GALNT14 genotype is potentially associated with the objective response of the first course of FMP chemotherapy in patients with far advanced hepatocellular carcinoma.

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Year:  2011        PMID: 21635146     DOI: 10.2217/pgs.11.43

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


  14 in total

1.  GALNT14 genotype, α-fetoprotein and therapeutic side effects predict post-chemotherapy survival in patients with advanced hepatocellular carcinoma.

Authors:  Wey-Ran Lin; Chao-Wei Hsu; Yi-Cheng Chen; Ming-Ling Chang; Kung-Hao Liang; Ya-Hui Huang; Chau-Ting Yeh
Journal:  Mol Clin Oncol       Date:  2014-05-15

2.  Genotyping the GALNT14 gene by joint analysis of two linked single nucleotide polymorphisms using liver tissues for clinical and geographical comparisons.

Authors:  Kung-Hao Liang; Pei-Ching Yang; Chau-Ting Yeh
Journal:  Oncol Lett       Date:  2014-09-05       Impact factor: 2.967

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Authors:  Kung-Hao Liang; Ta-Sen Yeh; Ren-Chin Wu; Chun-Nan Yeh; Chau-Ting Yeh
Journal:  Oncol Lett       Date:  2017-04-05       Impact factor: 2.967

5.  GALNT14 genotype as a response predictor for concurrent chemoradiotherapy in advanced esophageal squamous cell carcinoma.

Authors:  Yung-Kuan Tsou; Kung-Hao Liang; Wey-Ran Lin; Hsien-Kun Chang; Chen-Kan Tseng; Chau-Ting Yeh
Journal:  Oncotarget       Date:  2017-04-25

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Authors:  Wey-Ran Lin; Chau-Ting Yeh
Journal:  Int J Mol Sci       Date:  2020-02-21       Impact factor: 5.923

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Authors:  Yun Pan; Chongqi Sun; Mingde Huang; Yao Liu; Fuzhen Qi; Li Liu; Juan Wen; Jibin Liu; Kaipeng Xie; Hongxia Ma; Zhibin Hu; Hongbing Shen
Journal:  J Biomed Res       Date:  2014-04-27

8.  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.  UGT2B28 genomic variation is associated with hepatitis B e-antigen seroconversion in response to antiviral therapy.

Authors:  Kung-Hao Liang; Chih-Lang Lin; Chao-Wei Hsu; Ming-Wei Lai; Rong-Nan Chien; Chau-Ting Yeh
Journal:  Sci Rep       Date:  2016-09-26       Impact factor: 4.379

10.  Genomic Analysis Identifies New Loci Associated With Motor Complications in Parkinson's Disease.

Authors:  Ho-Sung Ryu; Kye Won Park; Nari Choi; Jinhee Kim; Young-Min Park; Sungyang Jo; Mi-Jung Kim; Young Jin Kim; Juyeon Kim; Kiju Kim; Seong-Beom Koh; Sun Ju Chung
Journal:  Front Neurol       Date:  2020-07-07       Impact factor: 4.003

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