Literature DB >> 22095904

EGRI and FOSB gene expressions in cancer stroma are independent prognostic indicators for epithelial ovarian cancer receiving standard therapy.

Fumio Kataoka1, Hiroshi Tsuda, Tokuzo Arao, Sadako Nishimura, Hideo Tanaka, Hiroyuki Nomura, Tatsuyuki Chiyoda, Akira Hirasawa, Tomoko Akahane, Hiroshi Nishio, Kazuto Nishio, Daisuke Aoki.   

Abstract

Stromal components interact with cancer cells to promote growth and metastasis. The purpose of this study was to identify genes expressed in stroma, which could provide prognostic information in epithelial ovarian cancer (EOC). Seventy-four patients were included. We performed gene expression profiling and confirmed array data using RT-PCR and immunohistochemistry. By microarray analysis, 52 candidate genes associated with progression free survival (PFS) were identified (P < 0.005). Expression of the early growth response 1 (EGR1) and FBJ murine osteosarcoma viral oncogene homolog B (FOSB) genes was further analyzed. Array data were confirmed by RT-PCR and multivariate analysis demonstrated that both EGR1 and FOSB expression in cancer stroma, and EGR1 expression in cancer are independent prognostic factors in EOC. Immunohistochemically, EGR1 protein is localized in cancer cells and α-smooth muscle actin positive stromal fibroblasts. The EGR1 and FOSB expression in stromal cells and EGR1 expression in cancer cells are prognostic indicators in EOC.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22095904     DOI: 10.1002/gcc.21916

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  17 in total

1.  The novel long noncoding RNA AC138128.1 may be a predictive biomarker in gastric cancer.

Authors:  Xiaowan Chen; Jingxu Sun; Yongxi Song; Peng Gao; Junhua Zhao; Xuanzhang Huang; Bo Liu; Huimian Xu; Zhenning Wang
Journal:  Med Oncol       Date:  2014-09-27       Impact factor: 3.064

2.  Retroviral cyclin controls cyclin-dependent kinase 8-mediated transcription elongation and reinitiation.

Authors:  Claire H Birkenheuer; Connie D Brewster; Sandra L Quackenbush; Joel Rovnak
Journal:  J Virol       Date:  2015-03-04       Impact factor: 5.103

Review 3.  Strategies for Improving Photodynamic Therapy Through Pharmacological Modulation of the Immediate Early Stress Response.

Authors:  Daniel J de Klerk; Mark J de Keijzer; Lionel M Dias; Jordi Heemskerk; Lianne R de Haan; Tony G Kleijn; Leonardo P Franchi; Michal Heger
Journal:  Methods Mol Biol       Date:  2022

4.  Androgen deprivation therapy induces androgen receptor-dependent upregulation of Egr1 in prostate cancers.

Authors:  Bin Xu; Gusheng Tang; Chengwu Xiao; Linhui Wang; Qing Yang; Yinghao Sun
Journal:  Int J Clin Exp Pathol       Date:  2014-05-15

5.  Differential network analysis reveals dysfunctional regulatory networks in gastric carcinogenesis.

Authors:  Mu-Shui Cao; Bing-Ya Liu; Wen-Tao Dai; Wei-Xin Zhou; Yi-Xue Li; Yuan-Yuan Li
Journal:  Am J Cancer Res       Date:  2015-08-15       Impact factor: 6.166

6.  Effects of Sepantronium Bromide (YM-155) on the Whole Transcriptome of MDA-MB-231 Cells: Highlight on Impaired ATR/ATM Fanconi Anemia DNA Damage Response.

Authors:  Elizabeth A Mazzio; Charles A Lewis; Rashid Elhag; Karam F Soliman
Journal:  Cancer Genomics Proteomics       Date:  2018 Jul-Aug       Impact factor: 3.395

Review 7.  The role of the tumor stroma in ovarian cancer.

Authors:  Ben Davidson; Claes G Trope; Reuven Reich
Journal:  Front Oncol       Date:  2014-05-13       Impact factor: 6.244

8.  Functional prediction of long non-coding RNAs in ovarian cancer-associated fibroblasts indicate a potential role in metastasis.

Authors:  Fatemeh Vafaee; Emily K Colvin; Samuel C Mok; Viive M Howell; Goli Samimi
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

9.  Identification of potential therapeutic targets for lung cancer by bioinformatics analysis.

Authors:  Li-Quan Wang; Lan-Hua Zhao; Yi-Ze Qiao
Journal:  Mol Med Rep       Date:  2015-12-31       Impact factor: 2.952

10.  Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies.

Authors:  Dominic A Pearce; Laura M Arthur; Arran K Turnbull; Lorna Renshaw; Vicky S Sabine; Jeremy S Thomas; John M S Bartlett; J Michael Dixon; Andrew H Sims
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

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