Literature DB >> 20097481

Gene expression patterns distinguish breast carcinomas from normal breast tissues: the Malaysian context.

Ivyna Bong Pau Ni1, Zubaidah Zakaria, Rohaizak Muhammad, Norlia Abdullah, Naqiyah Ibrahim, Nor Aina Emran, Nor Hisham Abdullah, Sharifah Noor Akmal Syed Hussain.   

Abstract

Genomic and transcriptomic alterations that affect cellular processes, such as cell proliferation, differentiation, apoptosis and invasion, commonly occur in breast oncogenesis. Epidemiological evidence has proven that the risk of breast cancer predisposition varies among different ethnicities. This study aims to identify the transcriptome changes that commonly occur during the transition of normal breast epithelium to carcinoma in three local ethnic groups (Malays, Chinese and Indians). The gene expression patterns of 43 breast carcinomas with 43 patient-matched normal breast tissues were investigated using Affymetrix U133A GeneChip (containing 22,283 probe sets targeting approximately 18,400 different transcripts) and analyzed with GeneSpring GX10. Our findings revealed a total of 33 significantly differentially expressed genes, which showed>2-fold change at a 99.9% confidence interval level (p<0.001). The significantly differentially expressed genes included CD24, CD36, CD9, TACSTD1, TACSTD2, HBB, LEP, LPL, AKR1C1, AKR1C2 and AKR1C3. Our results indicate that the vast majority of gene expression changes, from normal breast epithelial to carcinoma, found in our three major ethnic populations are similar to those in the Caucasian population. Further study of the differentially expressed genes identified in our present study is needed to search for potential breast tumor biomarkers. This will eventually help to improve the therapeutic and treatment strategies for breast cancer patients in the future. Copyright 2009 Elsevier GmbH. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20097481     DOI: 10.1016/j.prp.2009.11.006

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  47 in total

1.  Keratin 19 expression correlates with poor prognosis in breast cancer.

Authors:  Nuzhat N Kabir; Lars Rönnstrand; Julhash U Kazi
Journal:  Mol Biol Rep       Date:  2014-08-26       Impact factor: 2.316

2.  The Potential Predictors in Chemotherapy Sensitivity.

Authors:  Eun-Kyu Kim; Hee-Chul Shin
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  A novel dysregulated pathway-identification analysis based on global influence of within-pathway effects and crosstalk between pathways.

Authors:  Junwei Han; Chunquan Li; Haixiu Yang; Yanjun Xu; Chunlong Zhang; Jiquan Ma; Xinrui Shi; Wei Liu; Desi Shang; Qianlan Yao; Yunpeng Zhang; Fei Su; Li Feng; Xia Li
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

4.  Identification of collaboration patterns of dysfunctional pathways in breast cancer.

Authors:  Xinyong Zhu; Lianyuan Tao; Jing Yao; Pengjun Sun; Lijuan Pei; Jiye Li; Zhihua Long; Ye Wang; Fengliang Zhang
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

5.  A transcriptomic insight into the impacts of mast cells in lung, breast, and colon cancers.

Authors:  Eun-A Ko; Kenton M Sanders; Tong Zhou
Journal:  Oncoimmunology       Date:  2017-08-08       Impact factor: 8.110

6.  Gene expression abnormalities in histologically normal breast epithelium from patients with luminal type of breast cancer.

Authors:  Pavol Zubor; Jozef Hatok; Petra Moricova; Karol Kajo; Ivana Kapustova; Andrea Mendelova; Peter Racay; Jan Danko
Journal:  Mol Biol Rep       Date:  2014-11-19       Impact factor: 2.316

7.  Integrating approximate single factor graphical models.

Authors:  Xinyan Fan; Kuangnan Fang; Shuangge Ma; Qingzhao Zhang
Journal:  Stat Med       Date:  2019-11-20       Impact factor: 2.373

8.  Changes in mammary histology and transcriptome profiles by low-dose exposure to environmental phenols at critical windows of development.

Authors:  Kalpana Gopalakrishnan; Susan L Teitelbaum; Luca Lambertini; James Wetmur; Fabiana Manservisi; Laura Falcioni; Simona Panzacchi; Fiorella Belpoggi; Jia Chen
Journal:  Environ Res       Date:  2016-10-29       Impact factor: 6.498

9.  CTEN prolongs signaling by EGFR through reducing its ligand-induced degradation.

Authors:  Shiao-Ya Hong; Yi-Ping Shih; Tianhong Li; Kermit L Carraway; Su Hao Lo
Journal:  Cancer Res       Date:  2013-06-17       Impact factor: 12.701

10.  Whole genome DNA methylation signature of HER2-positive breast cancer.

Authors:  Breezy M Lindqvist; Sten Wingren; Parviz B Motlagh; Torbjörn K Nilsson
Journal:  Epigenetics       Date:  2014-07-08       Impact factor: 4.528

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.