Literature DB >> 18058819

Gene expression abnormalities in histologically normal breast epithelium of breast cancer patients.

Anusri Tripathi1, Chialin King, Antonio de la Morenas, Victoria Kristina Perry, Bohdana Burke, Gregory A Antoine, Erwin F Hirsch, Maureen Kavanah, Jane Mendez, Michael Stone, Norman P Gerry, Marc E Lenburg, Carol L Rosenberg.   

Abstract

Normal-appearing epithelium of cancer patients can harbor occult genetic abnormalities. Data comprehensively comparing gene expression between histologically normal breast epithelium of breast cancer patients and cancer-free controls are limited. The present study compares global gene expression between these groups. We performed microarrays using RNA from microdissected histologically normal terminal ductal-lobular units (TDLU) from 2 groups: (i) cancer normal (CN) (TDLUs adjacent to untreated ER+ breast cancers (n = 14)) and (ii) reduction mammoplasty (RM) (TDLUs of age-matched women without breast disease (n = 15)). Cyber-T identified differentially expressed genes. Quantitative RT-PCR (qRT-PCR), immunohistochemistry (IHC), and comparison to independent microarray data including 6 carcinomas in situ (CIS), validated the results. Gene ontology (GO), UniProt and published literature evaluated gene function. About 127 probesets, corresponding to 105 genes, were differentially expressed between CN and RM (p < 0.0009, corresponding to FDR <0.10). 104/127 (82%) probesets were also differentially expressed between CIS and RM, nearly always (102/104 (98%)) in the same direction as in CN vs. RM. Two-thirds of the 105 genes were implicated previously in carcinogenesis. Overrepresented functional groups included transcription, G-protein coupled and chemokine receptor activity, the MAPK cascade and immediate early genes. Most genes in these categories were under-expressed in CN vs. RM. We conclude that global gene expression abnormalities exist in normal epithelium of breast cancer patients and are also present in early cancers. Thus, cancer-related pathways may be perturbed in normal epithelium. These abnormalities could be markers of disease risk, occult disease, or the tissue's response to an existing tumor. (c) 2007 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18058819     DOI: 10.1002/ijc.23267

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  61 in total

1.  The MORC family: new epigenetic regulators of transcription and DNA damage response.

Authors:  Da-Qiang Li; Sujit S Nair; Rakesh Kumar
Journal:  Epigenetics       Date:  2013-05-17       Impact factor: 4.528

2.  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

3.  Integrated analysis of differentially expressed genes in breast cancer pathogenesis.

Authors:  Daobao Chen; Hongjian Yang
Journal:  Oncol Lett       Date:  2015-04-23       Impact factor: 2.967

4.  Pubertal bisphenol A exposure alters murine mammary stem cell function leading to early neoplasia in regenerated glands.

Authors:  Danhan Wang; Hui Gao; Abhik Bandyopadhyay; Anqi Wu; I-Tien Yeh; Yidong Chen; Yi Zou; Changjiang Huang; Christi A Walter; Qiaoxiang Dong; Lu-Zhe Sun
Journal:  Cancer Prev Res (Phila)       Date:  2014-02-11

5.  QuickGO: a user tutorial for the web-based Gene Ontology browser.

Authors:  Rachael P Huntley; David Binns; Emily Dimmer; Daniel Barrell; Claire O'Donovan; Rolf Apweiler
Journal:  Database (Oxford)       Date:  2009-09-29       Impact factor: 3.451

6.  Gene expression in histologically normal epithelium from breast cancer patients and from cancer-free prophylactic mastectomy patients shares a similar profile.

Authors:  K Graham; A de las Morenas; A Tripathi; C King; M Kavanah; J Mendez; M Stone; J Slama; M Miller; G Antoine; H Willers; P Sebastiani; C L Rosenberg
Journal:  Br J Cancer       Date:  2010-03-02       Impact factor: 7.640

7.  A differentiation-based phylogeny of cancer subtypes.

Authors:  Markus Riester; Camille Stephan-Otto Attolini; Robert J Downey; Samuel Singer; Franziska Michor
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

8.  Increased invasiveness and aggressiveness in breast epithelia with cytoplasmic p63 expression.

Authors:  Yi-Hsuan Hsiao; Yan A Su; Horng-Der Tsai; Jeffrey T Mason; Ming-Chih Chou; Yan-gao Man
Journal:  Int J Biol Sci       Date:  2010-08-08       Impact factor: 6.580

9.  A resampling-based meta-analysis for detection of differential gene expression in breast cancer.

Authors:  Bala Gur-Dedeoglu; Ozlen Konu; Serkan Kir; Ahmet Rasit Ozturk; Betul Bozkurt; Gulusan Ergul; Isik G Yulug
Journal:  BMC Cancer       Date:  2008-12-30       Impact factor: 4.430

10.  Comparison of breast cancer to healthy control tissue discovers novel markers with potential for prognosis and early detection.

Authors:  Michèl Schummer; Ann Green; J David Beatty; Beth Y Karlan; Scott Karlan; Jenny Gross; Sean Thornton; Martin McIntosh; Nicole Urban
Journal:  PLoS One       Date:  2010-02-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.