Literature DB >> 22993299

Prognostic impact of VEGFA germline polymorphisms in patients with HER2-positive primary breast cancer.

Else Maae1, Rikke Fredslund Andersen, Karina Dahl Steffensen, Erik Hugger Jakobsen, Ivan Brandslund, Flemming Brandt Sørensen, Anders Jakobsen.   

Abstract

BACKGROUND: Vascular endothelial growth factor A (VEGFA) is essential in tumour angiogenesis, and polymorphisms in the VEGFA gene have been associated with breast cancer prognosis. The human epidermal growth factor receptor 2 (HER2) is overexpressed in breast tumours and is also associated with angiogenesis. We investigated the possible prognostic impact of VEGFA single nucleotide polymorphisms (SNPs) in patients with HER2-positive primary breast cancer. PATIENTS AND METHODS: DNA was isolated from venous blood samples from 116 HER2-positive patients and genotyped for VEGFA -2578C>A, -1498T>C, -1154G>A, -634G>C, -7C>T and +936C>T SNPs using the TaqMan® SNP Genotyping Assay.
RESULTS: The -2578C>A and -634G>C genotypes were associated with tumour size, p ≤ 0.014. In univariate analysis -2578CC, -634CC and -7CC genotypes were associated with inferior recurrence-free survival (p ≤ 0.028) but in cox multivariate analysis, only the -634CC genotype remained an independent prognostic factor (p=0.008).
CONCLUSION: The VEGFA -634CC genotype was found to be associated with an inferior prognosis for patients with HER2-positive breast cancer.

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Year:  2012        PMID: 22993299

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  7 in total

1.  Vascular endothelial growth factor gene polymorphism (-634G/C) and breast cancer risk.

Authors:  Weirong Yao; Rongzeng Yan; Lin Ma; Huiping Wan; Yanmin Yu; Xia Cheng; Yingliang Li
Journal:  Tumour Biol       Date:  2014-05-10

2.  No association between genetic variants in angiogenesis and inflammation pathway genes and breast cancer survival among Chinese women.

Authors:  Tsogzolmaa Dorjgochoo; Ying Zheng; Yu-Tang Gao; Xiangyu Ma; Jirong Long; Pingping Bao; Ben Zhang; Wanqing Wen; Wei Lu; Wei Zheng; Xiao Ou Shu; Alicia Beeghly-Fadiel
Journal:  Cancer Epidemiol       Date:  2013-07-11       Impact factor: 2.984

3.  Prognostic evaluation of VEGFA genotypes and haplotypes in a cohort of Brazilian women with non metastatic breast cancer.

Authors:  Hayra de Andrade Vieira-Monteiro; Daniely Regina Freitas-Alves; Marcelo Sobral-Leite; João Marcos de Azevedo Delou; Sheyla Maria Torres Goulart-Citrangulo; Camila Telles do Nascimento; Thales Nascimento E Castro; Sérgio Koifman; Jamila Alessandra Perini; Rosane Vianna-Jorge
Journal:  Cancer Biol Ther       Date:  2016-06-02       Impact factor: 4.742

4.  CXM: a new tool for mapping breast cancer risk in the tumor microenvironment.

Authors:  Michael J Flister; Bradley T Endres; Nathan Rudemiller; Allison B Sarkis; Stephanie Santarriaga; Ishan Roy; Angela Lemke; Aron M Geurts; Carol Moreno; Sophia Ran; Shirng-Wern Tsaih; Jeffery De Pons; Daniel F Carlson; Wenfang Tan; Scott C Fahrenkrug; Zelmira Lazarova; Jozef Lazar; Paula E North; Peter S LaViolette; Michael B Dwinell; James D Shull; Howard J Jacob
Journal:  Cancer Res       Date:  2014-08-29       Impact factor: 12.701

5.  Association of VEGF haplotypes with breast cancer risk in North-West Indians.

Authors:  Vasudha Sambyal; Kamlesh Guleria; Ruhi Kapahi; Mridu Manjari; Meena Sudan; Manjit Singh Uppal; Neeti Rajan Singh
Journal:  BMC Med Genomics       Date:  2021-08-24       Impact factor: 3.063

6.  Single-Cell RNA-Seq Reveals the Promoting Role of Ferroptosis Tendency During Lung Adenocarcinoma EMT Progression.

Authors:  Jiaxi Yao; Yuchong Zhang; Mengling Li; Zuyu Sun; Tao Liu; Mingfang Zhao; Zhi Li
Journal:  Front Cell Dev Biol       Date:  2022-01-20

7.  Amplified in Breast Cancer Regulates Transcription and Translation in Breast Cancer Cells.

Authors:  Aleksandra M Ochnik; Mark S Peterson; Svetlana V Avdulov; Annabell S Oh; Peter B Bitterman; Douglas Yee
Journal:  Neoplasia       Date:  2016-02       Impact factor: 5.715

  7 in total

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