Literature DB >> 27978515

AQP5 Variants Affect Tumoral Expression of AQP5 and Survival in Patients with Early Breast Cancer.

Soo Jung Lee1, Byung Woog Kang, Jong Gwang Kim, Jin Hyang Jung, Jeeyeon Lee, Wan Wook Kim, Ho Yong Park, Jae-Hwan Jeong, Ji Yun Jeong, Ji-Young Park, Jae Hyung Park, Yee Soo Chae.   

Abstract

BACKGROUND: Our previous study showed the association of AQP5 upregulation with cancer proliferation and migration in breast cancer cell lines and with unfavorable prognosis in patients with early breast cancer (EBC). In the current study, we analyzed the association of AQP5 variants or their haplotypes with AQP5 expression and their prognostic impact for survival in patients with EBC.
METHODS: Three AQP5 polymorphisms (rs74091166, rs3736309, and rs1964676) were selected based on the SNP database and genotyped using the Sequenom MassARRAY in 374 out of 447 patients with EBC in whom AQP5 expression had been investigated in our previous study.
RESULTS: The allele frequencies of the selected variants in the current study were similar to those from Asian data previously reported. In a univariate analysis, both rs74091166 and rs1964676 were statistically associated with survival as a dominant model of minor allele. Moreover, a multivariate survival analysis revealed that the CC genotype of rs1964676 is an independent prognostic marker of survival in EBC patients, regardless of stage, tumor subtype, and adjuvant treatment [hazard ratio = 0.399, 0.384, and 0.205; p = 0.021, 0.027, and 0.016 for disease-free survival (DFS), distant DFS, and disease-specific survival, respectively]. In particular, the CT/TT genotype of rs1964676 showed an association with strong expression of AQP5 (58.6 vs. 26.0%; p = 0.001), without any associations with clinical or pathological characteristics including tumor subtype, stage, or histologic grade.
CONCLUSION: The current study suggests AQP5 rs1964676 as a new potential prognostic marker in patients with EBC involved in AQP5 expression.
© 2016 S. Karger AG, Basel.

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Year:  2016        PMID: 27978515     DOI: 10.1159/000452715

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  2 in total

1.  DNA Methylation Haplotype Block Markers Efficiently Discriminate Follicular Thyroid Carcinoma from Follicular Adenoma.

Authors:  Hui Zhang; Zhenzhen Zhang; Xiaoding Liu; Huanli Duan; Tianmin Xiang; Qiye He; Zhixi Su; Huanwen Wu; Zhiyong Liang
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

2.  Age-related DNA methylation in paired normal and tumour breast tissue in Chinese breast cancer patients.

Authors:  Maeve Kiely; Lap Ah Tse; Hela Koka; Difei Wang; Priscilla Lee; Feng Wang; Cherry Wu; Koon Ho Tsang; Wing-Cheong Chan; Sze Hong Law; Han Zhang; Eric Karlins; Bin Zhu; Amy Hutchinson; Belynda Hicks; Bin Zhu; Xiaohong R Yang
Journal:  Epigenetics       Date:  2020-09-24       Impact factor: 4.528

  2 in total

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