The C1772T genetic polymorphism in human HIF-1α gene associates with expression of HIF-1α protein in breast cancer
The C1772T genetic polymorphism in human HIF-1α gene associates with expression of HIF-1α protein in breast cancer
复制标题
DOI:
10.3892/or_00000127
复制
发表时间:
2008-11-01
期刊:
影响因子:
4.2
通讯作者:
Yoon, Kyung-Sik
中科院分区:
文献类型:
--
作者:
Kim, Hye Ok;Jo, Yong Hwa;Yoon, Kyung-Sik
Hypoxia-inducible factor 1 (HIF-1) is an important genetic component involved in the cellular response to hypoxia. HIF-1 is also linked to the regulation of tumor development and growth. In previous studies, the C1772T (P582S) or the G1790A (A588T) polymorphisms of the HIF-1 alpha gene have been identified in renal cell carcinoma, head and neck and esophageal squamous cell carcinomas as well as colorectal and prostate cancers. In our study, we investigated whether polymorphisms of the HIF-1 alpha gene may account for the expression patterns of HIF-1 alpha, protein and impact of clinical progression in breast cancer. We also examined the impact of prognosis of HIF-1 alpha. gene polymorphism and protein expression in the prediction of biological behavior. We performed polymerase chain reaction and direct sequencing to detect polymorphisms in exon 12 of HIF-1 alpha from 90 breast cancer patients and 102 healthy controls. The expression of HIF-1 alpha was measured in paraffin-embedded specimens from patients by immunohistochemistry. We associated its expression with known prognostic factors. The frequency of the T allele for C1772T in breast cancer patients and healthy controls was 5.6 vs. 4.4%, whereas, the frequency of the A allele for G1790A was 1.7 vs. 4.4%. HIF-1 alpha was overexpressed in 56.7% (51 of 90) of the patients. Its overexpression associated with the T1772 polymorphic allele (p=0.04). Elevated levels of HIF-1 alpha protein were found in cases of breast cancer with lymph node metastasis (p=0.041), high histological grade (p=0.001) and increased Ki-67 index (p=0.031). These results suggest the potential use of C1772T (P582S) polymorphism and expression analysis in providing a new prognostic factor for unfavorable disease outcomes and may help for clinical decision-making in the treatment of breast cancer patients.