Literature DB >> 19580347

Associations between hypoxia-inducible factor-1alpha (HIF-1alpha) gene polymorphisms and risk of developing breast cancer.

R Naidu1, Y C Har, N A Taib.   

Abstract

The C1772T, G1790A and C111A polymorphisms of Hypoxia-inducible factor-1alpha (HIF-1alpha) gene were analyzed in a hospital-based Malaysian population using PCR-RFLP method. Genomic DNA was extracted from the blood samples collected from 410 breast cancer patients and 275 normal and healthy women. We investigated the association between HIF-1alpha polymorphisms and breast cancer risk, and clinico-pathological parameters in the population. The genotype and allele frequencies of C1772T (P=0.0093 vs P=0.0024) polymorphism were significantly different between the breast cancer cases and normal subjects but similar association was not observed for G1790A (P>0.05) and C111A (P>0.05) polymorphisms, respectively. Women who were CT heterozygotes (OR=1.51; 95% CI, 1.01-2.25), TT homozygotes (OR=4.03; 95% CI, 1.09-17.60) and carriers of T allele genotype (OR=1.65; 95% CI, 1.13-2.43) were significantly associated with increased risk of breast cancer. Significant relationship was observed also between T allele and breast cancer risk (OR=1.69; 95% CI, 1.20-2.40). Clinico-pathological analysis showed that 1772T allele genotype was significantly associated with nodal metastases (P=0.0478) but independent of ER status, tumor grade and patients' age (P>0.05). Our observations suggest that the polymorphic allele of C1772T may be associated with increased risk of developing breast cancer, and presence of 1772T allele may be a useful genetic marker for tumor prognosis.

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Year:  2009        PMID: 19580347     DOI: 10.4149/neo_2009_05_441

Source DB:  PubMed          Journal:  Neoplasma        ISSN: 0028-2685            Impact factor:   2.575


  18 in total

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2.  Clinicopathological significance of hypoxia-inducible factor-1 alpha polymorphisms in cancers: evidence from a meta-analysis.

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Journal:  Tumour Biol       Date:  2013-07-16

Review 3.  HIF1A gene polymorphisms and human diseases: Graphical review of 97 association studies.

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Journal:  Genes Chromosomes Cancer       Date:  2017-03-31       Impact factor: 5.006

Review 4.  The association between HIF-1α polymorphism and cancer risk: a systematic review and meta-analysis.

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Journal:  Tumour Biol       Date:  2013-09-18

5.  Genetic polymorphisms in HIF1A are associated with prostate cancer risk in a Chinese population.

Authors:  Pu Li; Qiang Cao; Peng-Fei Shao; Hong-Zhou Cai; Hai Zhou; Jia-Wei Chen; Chao Qin; Zheng-Dong Zhang; Xiao-Bing Ju; Chang-Jun Yin
Journal:  Asian J Androl       Date:  2012-10-08       Impact factor: 3.285

6.  Hypoxia-inducible factor-1α (HIF-1α) C1772T polymorphism significantly contributes to the risk of malignancy from a meta-analysis.

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Journal:  Tumour Biol       Date:  2014-01-15

7.  Hypoxia-inducible factor-1α polymorphisms and risk of cancer metastasis: a meta-analysis.

Authors:  Qian Zhang; Yan Chen; Bin Zhang; Bin Shi; Wenjun Weng; Zhipeng Chen; Nannan Guo; Yibing Hua; Lingjun Zhu
Journal:  PLoS One       Date:  2013-08-28       Impact factor: 3.240

Review 8.  Correlation between hypoxia-inducible factor-1α C1772T/G1790A polymorphisms and head and neck cancer risk: a meta-analysis.

Authors:  Ting Wu; Zhong-Ti Zhang; Lin Li; Ru-Yue Liu; Bao-Ting Bei
Journal:  World J Surg Oncol       Date:  2021-07-13       Impact factor: 2.754

9.  The association between hypoxia-inducible factor-1 α gene C1772T polymorphism and cancer risk: a meta-analysis of 37 case-control studies.

Authors:  Pengfei He; Qi Han; Jiajia Liu; Dongjuan Liu; Xin Zhao; Ting Hu; Lu Jiang; Hongxia Dan; Xin Zeng; Jing Li; Jiayi Wang; Qianming Chen
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

10.  The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case-control studies.

Authors:  Yuqiao Zhou; Lin Lin; Yun Wang; Xin Jin; Xin Zhao; Dongjuan Liu; Ting Hu; Lu Jiang; Hongxia Dan; Xin Zeng; Jing Li; Jiayi Wang; Qianming Chen
Journal:  Cancer Cell Int       Date:  2014-05-01       Impact factor: 5.722

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