Literature DB >> 12115566

Differential gene expression in breast cancer cell lines and stroma-tumor differences in microdissected breast cancer biopsies revealed by display array analysis.

Albert S Mellick1, Chris J Day, Stephen R Weinstein, Lyn R Griffiths, Nigel A Morrison.   

Abstract

To examine gene-expression patterning in late-stage breast cancer biopsies, we used a microdissection technique to separate tumor from the surrounding breast tissue or stroma. A DD-PCR protocol was then used to amplify expressed products, which were resolved using PAGE and used as probe to hybridize with representative human arrays and cDNA libraries. The probe derived from the tumor-stroma comparison was hybridized with a gene array and an arrayed cDNA library derived from a GCT of bone; 21 known genes or expressed sequence tags were detected, of which 17 showed differential expression. These included factors associated with epithelial to mesenchymal transition (vimentin), the cargo selection protein (TIP47) and the signal transducer and activator of transcription (STAT3). Northern blot analysis was used to confirm those genes also expressed by representative breast cancer cell lines. Notably, 6 genes of unknown function were restricted to tumor while the majority of stroma-associated genes were known. When applied to transformed breast cancer cell lines (MDA-MB-435 and T47D) that are known to have different metastatic potential, DD array analysis revealed a further 20 genes; 17 of these genes showed differential expression. Use of microdissection and the DD-PCR array protocol allowed us to identify factors whose localized expression within the breast may play a role in abnormal breast development or breast carcinogenesis. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12115566     DOI: 10.1002/ijc.10451

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


  10 in total

1.  Global analysis of HuR-regulated gene expression in colon cancer systems of reducing complexity.

Authors:  Isabel López de Silanes; Jinshui Fan; Craig J Galbán; Richard G Spencer; Kevin G Becker; Myriam Gorospe
Journal:  Gene Expr       Date:  2004

2.  Protein tyrosine phosphatase 4A2 expression predicts overall and disease-free survival of human breast cancer and is associated with estrogen and progestin receptor status.

Authors:  Sarah A Andres; James L Wittliff; Alan Cheng
Journal:  Horm Cancer       Date:  2013-04-09       Impact factor: 3.869

3.  Oncosome formation in prostate cancer: association with a region of frequent chromosomal deletion in metastatic disease.

Authors:  Dolores Di Vizio; Jayoung Kim; Martin H Hager; Matteo Morello; Wei Yang; Christopher J Lafargue; Lawrence D True; Mark A Rubin; Rosalyn M Adam; Rameen Beroukhim; Francesca Demichelis; Michael R Freeman
Journal:  Cancer Res       Date:  2009-06-23       Impact factor: 12.701

4.  Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples.

Authors:  Ting Gong; Nicole Hartmann; Isaac S Kohane; Volker Brinkmann; Frank Staedtler; Martin Letzkus; Sandrine Bongiovanni; Joseph D Szustakowski
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

5.  RNA amplification for successful gene profiling analysis.

Authors:  Ena Wang
Journal:  J Transl Med       Date:  2005-07-25       Impact factor: 5.531

6.  Quantitative evaluation of vimentin expression in tumour stroma of colorectal cancer.

Authors:  C Y Ngan; H Yamamoto; I Seshimo; T Tsujino; M Man-i; J-I Ikeda; K Konishi; I Takemasa; M Ikeda; M Sekimoto; N Matsuura; M Monden
Journal:  Br J Cancer       Date:  2007-02-27       Impact factor: 7.640

Review 7.  Lipid droplets: platforms with multiple functions in cancer hallmarks.

Authors:  André L S Cruz; Ester de A Barreto; Narayana P B Fazolini; João P B Viola; Patricia T Bozza
Journal:  Cell Death Dis       Date:  2020-02-06       Impact factor: 8.469

8.  Differentiation and roles of bone marrow-derived cells on the tumor microenvironment of oral squamous cell carcinoma.

Authors:  Chang Anqi; Kiyofumi Takabatake; Hotaka Kawai; May Wathone Oo; Saori Yoshida; Masae Fujii; Haruka Omori; Shintaro Sukegawa; Keisuke Nakano; Hidetsugu Tsujigiwa; Zheng Jinhua; Hitoshi Nagatsuka
Journal:  Oncol Lett       Date:  2019-11-04       Impact factor: 2.967

Review 9.  Long non-coding RNAs affecting cell metabolism in cancer.

Authors:  Massimiliano Agostini; Mara Mancini; Eleonora Candi
Journal:  Biol Direct       Date:  2022-10-01       Impact factor: 7.173

Review 10.  An overview of technical considerations when using quantitative real-time PCR analysis of gene expression in human exercise research.

Authors:  Jujiao Kuang; Xu Yan; Amanda J Genders; Cesare Granata; David J Bishop
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

  10 in total

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