Literature DB >> 30259245

Association of SPARC gene polymorphisms rs3210714 and rs7719521 with VEGF expression and utility of Nottingham Prognostic Index scoring in breast cancer in a sample of Egyptian women.

Sultan Bawazeer1,2, Dina Sabry3, Rania H Mahmoud4, Hala M Elhanbuli5, Noha N Yassen6, Marwa N Abdelhafez7.   

Abstract

Breast cancer is the most common malignancy in women. To our knowledge, there is no single study conducted on the role of secreted protein acidic and rich in cysteine (SPARC) gene polymorphism in breast cancer risk or prognosis. The present study aims to investigate the probable role of SPARC genetic polymorphisms in development of breast cancer; their correlation with immunohistochemical expression of VEGF; and their association with breast cancer prognosis in the Egyptian population. The study sample included 238 Egyptian females who were divided into two groups: breast cancer group (118 patients) and healthy control group (120 subjects). SPARC gene single nucleotide polymorphisms rs3210714 and rs7719521 were genotyped. Allelic and genotypic frequencies were determined in both groups and association with ductal breast carcinoma, clinicopathological and prognostic characters were determined. For SPARC rs3210714, a significant difference was observed in the codominant model and both A and G alleles' frequencies between breast cancer patients and control group (P < 0.001). For rs7719521, a significant difference in codominant and dominant models as well as in both A and C alleles' frequencies between breast cancer and control groups (P < 0.001) was observed. A significant relation was found between SPARC rs3210714 and rs7719521, and immunohistochemical expression of VEGF (P = 0.046 and P = 0.027, respectively). SPARC rs7719521 showed a significant association with Nottingham Prognostic Index (NPI) (P = 0.032). The present study revealed that SPARC rs3210714 and rs7719521 polymorphisms are associated with breast cancer risk and its prognosis. Therefore, these SNPs may be useful in predicting the increased risk of breast cancer.

Entities:  

Keywords:  Cancer breast; NPI; Polymorphisms; SPARC; VEGF

Mesh:

Substances:

Year:  2018        PMID: 30259245     DOI: 10.1007/s11033-018-4394-2

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  59 in total

1.  Terms of attachment: SPARC and tumorigenesis.

Authors:  E H Sage
Journal:  Nat Med       Date:  1997-02       Impact factor: 53.440

2.  The prognosis of small primary breast cancers.

Authors:  J Kollias; C A Murphy; C W Elston; I O Ellis; J F Robertson; R W Blamey
Journal:  Eur J Cancer       Date:  1999-06       Impact factor: 9.162

3.  Transcriptional upregulation of SPARC, in response to c-Jun overexpression, contributes to increased motility and invasion of MCF7 breast cancer cells.

Authors:  Joseph Briggs; Sandrine Chamboredon; Marc Castellazzi; Julie A Kerry; Timothy J Bos
Journal:  Oncogene       Date:  2002-10-10       Impact factor: 9.867

4.  Cancer statistics: updated cancer burden in China.

Authors:  Wanqing Chen
Journal:  Chin J Cancer Res       Date:  2015-02       Impact factor: 5.087

5.  Utilizing Nottingham Prognostic Index in microarray gene expression profiling of breast carcinomas.

Authors:  Dylan V Miller; Alexey A Leontovich; Wilma L Lingle; Vera J Suman; Maureen L Mertens; James Lillie; Kimberly A Ingalls; Edith A Perez; James N Ingle; Fergus J Couch; Daniel W Visscher
Journal:  Mod Pathol       Date:  2004-07       Impact factor: 7.842

6.  Characterization of a novel serum albumin-binding glycoprotein secreted by endothelial cells in culture.

Authors:  H Sage; C Johnson; P Bornstein
Journal:  J Biol Chem       Date:  1984-03-25       Impact factor: 5.157

7.  Losartan slows pancreatic tumor progression and extends survival of SPARC-null mice by abrogating aberrant TGFβ activation.

Authors:  Shanna A Arnold; Lee B Rivera; Juliet G Carbon; Jason E Toombs; Chi-Lun Chang; Amy D Bradshaw; Rolf A Brekken
Journal:  PLoS One       Date:  2012-02-14       Impact factor: 3.240

8.  Association between SPARC mRNA expression, prognosis and response to neoadjuvant chemotherapy in early breast cancer: a pooled in-silico analysis.

Authors:  Hatem A Azim; Sandeep Singhal; Michail Ignatiadis; Christine Desmedt; Debora Fumagalli; Isabelle Veys; Denis Larsimont; Martine Piccart; Stefan Michiels; Christos Sotiriou
Journal:  PLoS One       Date:  2013-04-26       Impact factor: 3.240

9.  SPARC-induced increase in glioma matrix and decrease in vascularity are associated with reduced VEGF expression and secretion.

Authors:  Christopher K Yunker; William Golembieski; Nancy Lemke; Chad R Schultz; Simona Cazacu; Chaya Brodie; Sandra A Rempel
Journal:  Int J Cancer       Date:  2008-06-15       Impact factor: 7.396

10.  High SPARC Expression Starting from Dysplasia, Associated with Breast Carcinoma, Is Predictive for Bone Metastasis without Enhancement of Plasma Levels.

Authors:  Paola Maroni; Paola Bendinelli; Daniele Morelli; Lorenzo Drago; Alessandro Luzzati; Giuseppe Perrucchini; Chiara Bonini; Emanuela Matteucci; Maria Alfonsina Desiderio
Journal:  Int J Mol Sci       Date:  2015-11-26       Impact factor: 5.923

View more
  2 in total

1.  In silico analyses identify lncRNAs: WDFY3-AS2, BDNF-AS and AFAP1-AS1 as potential prognostic factors for patients with triple-negative breast tumors.

Authors:  Daniel Rodrigues de Bastos; Maria A Nagai
Journal:  PLoS One       Date:  2020-05-13       Impact factor: 3.240

Review 2.  A Review of Cancer Genetics and Genomics Studies in Africa.

Authors:  Solomon O Rotimi; Oluwakemi A Rotimi; Bodour Salhia
Journal:  Front Oncol       Date:  2021-02-15       Impact factor: 5.738

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.