Literature DB >> 21594520

TGF-beta 1 overexpression in breast cancer.

E Christeli1, V Zoumpourlis, H Kiaris, M Ergazaki, S Vassilaros, D Spandidos.   

Abstract

TGF-beta 1 belongs to a family of pluripotent growth factors (TGF beta s) and has been implicated in the development and progression of human breast cancer. There are conflicting data though, suggesting that TGF-beta has the pontency both to promote and inhibit the progression of mammary neoplasia. We examined the expression of TGF-beta 1 mRNA in 24 breast carcinomas using the technique of the reverse transcription polymerase chain reaction (RT-PCR) to obtain quantitative results. Overexpression of TGF-beta 1 gene was found in 75% of the cases. We also correlated the overexpression of the TGF-beta 1 gene with clinicopathological parameters including histological grade, tumour cellularity, oestrogen receptor status (ER), progesterone receptor status (PR) and lymph node involvement. The results led us to the conclusion that the increasing ratio of overexpression related to the stage of cancer in an analogous way (P similar to 1). No significant association was identified between the ratio of overexpression and the grade, ER, PR, or lymph node involvement (r(s) = 0.5, 0.2, 0.1, 0.1 respectively; P < 0.0001) in all categories.

Entities:  

Year:  1996        PMID: 21594520     DOI: 10.3892/or.3.6.1115

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  3 in total

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Authors:  Solmaz Rahmani Barouji; Arman Shahabi; Mohammadali Torbati; Seyyed Mohammad Bagher Fazljou; Ahmad Yari Khosroushahi
Journal:  Galen Med J       Date:  2020-08-10

2.  TLR4 ligand/H₂O₂ enhances TGF-β1 signaling to induce metastatic potential of non-invasive breast cancer cells by activating non-Smad pathways.

Authors:  Yuan-Hong Zhou; Sheng-Jun Liao; Dong Li; Jing Luo; Jing-Jing Wei; Bin Yan; Rui Sun; Yu Shu; Qi Wang; Gui-Mei Zhang; Zuo-Hua Feng
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

3.  Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer.

Authors:  Edgar Manzanarez-Ozuna; Dora-Luz Flores; Everardo Gutiérrez-López; David Cervantes; Patricia Juárez
Journal:  Theor Biol Med Model       Date:  2018-12-29       Impact factor: 2.432

  3 in total

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