Literature DB >> 20432456

Many new down- and up-regulatory signaling pathways, from known cancer progression suppressors to matrix metalloproteinases, differ widely in cells of various cancers.

Gregory S Delassus1, Hyojin Cho, Stanley Hoang, George L Eliceiri.   

Abstract

Previously we detected new signaling pathways, some downregulatory and others upregulatory, from seven known suppressors of cancer progression to the expression of eight cancer-promoting matrix metalloproteinases (MMPs) in breast cancer cells. The goals of the present study were to test whether the preceding observations occur only in breast cancer cells and, if not, whether the same downregulatory and upregulatory signaling pathways are active in cells of other human cancers, focusing on activator protein-2alpha, E-cadherin, fibulin1D, interleukin 4, p16(INK4alpha), p53, PTEN, and RKIP, and on MMP1, MMP2, MMP7, MMP13, MMP14, MMP16, MMP19, and MMP25. To this end, in the present study we tested the effects of raising the cellular levels of wild-type copies of these known suppressors of cancer progression on the expression of these MMPs. This study yielded several unexpected results. We have detected 53 new signaling pathways in cells of prostate, brain, lung, ovarian and breast human cancers, with an abundance of signaling pathways as high as approximately 40% of the cancer progression regulator/MMP pairs tested in cells of prostate and breast cancers. Cells of various cancers differed widely and sequence-specifically in the identity of their signaling pathways, so that almost 90% of the pathways were different in cells from one cancer to another. In each of 18 out of 51 signaling pathways, a known suppressor of cancer progression stimulated, rather than inhibited, the expression of a cancer-promoting MMP. Ten signaling pathways were upregulatory in cells of some cancers and downregulatory in cells of other cancers.

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Year:  2010        PMID: 20432456     DOI: 10.1002/jcp.22157

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  14 in total

1.  What does matrix metalloproteinase-1 expression in patients with breast cancer really tell us?

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2.  MMP-14 overexpression correlates with poor prognosis in non-small cell lung cancer.

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3.  Matrix metalloproteinase-19 promotes metastatic behavior in vitro and is associated with increased mortality in non-small cell lung cancer.

Authors:  Guoying Yu; Jose D Herazo-Maya; Tomoko Nukui; Marjorie Romkes; Anil Parwani; Brenda M Juan-Guardela; Jennifer Robertson; Jack Gauldie; Jill M Siegfried; Naftali Kaminski; Daniel J Kass
Journal:  Am J Respir Crit Care Med       Date:  2014-10-01       Impact factor: 21.405

4.  Genetic variants in matrix metalloproteinase genes as disposition factors for ovarian cancer risk, survival, and clinical outcome.

Authors:  Yan Wang; Yuanqing Ye; Jie Lin; Larissa Meyer; Xifeng Wu; Karen Lu; Dong Liang
Journal:  Mol Carcinog       Date:  2013-11-19       Impact factor: 4.784

5.  Raf kinase inhibitor protein suppresses nuclear factor-κB-dependent cancer cell invasion through negative regulation of matrix metalloproteinase expression.

Authors:  Anwar B Beshir; Gang Ren; Anniefer N Magpusao; Lauren M Barone; Kam C Yeung; Gabriel Fenteany
Journal:  Cancer Lett       Date:  2010-09-19       Impact factor: 8.679

Review 6.  Ovarian cancer: involvement of the matrix metalloproteinases.

Authors:  Linah Al-Alem; Thomas E Curry
Journal:  Reproduction       Date:  2015-04-27       Impact factor: 3.906

7.  Activation of NMDA receptor of glutamate influences MMP-2 activity and proliferation of glioma cells.

Authors:  Palaniswamy Ramaswamy; N Aditi Devi; K Hurmath Fathima; Nandakumar Dalavaikodihalli Nanjaiah
Journal:  Neurol Sci       Date:  2013-12-29       Impact factor: 3.307

8.  Co-expression of MMP-14 and MMP-19 predicts poor survival in human glioma.

Authors:  Liang Wang; Jun Yuan; Yanyang Tu; Xinggang Mao; Shiming He; Guoqiang Fu; Jianhai Zong; Yongsheng Zhang
Journal:  Clin Transl Oncol       Date:  2012-07-19       Impact factor: 3.405

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Authors:  Tove Lekva; Jens Petter Berg; Ansgar Heck; Stine Lyngvi Fougner; Ole Kristoffer Olstad; Geir Ringstad; Jens Bollerslev; Thor Ueland
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

10.  Molecular characterization of porcine MMP19 and MMP23B genes and its association with immune traits.

Authors:  Shuanping Zhao; Yongzhen Zhao; Pengxia Niu; Ning Wang; Zhonglin Tang; Linsen Zan; Kui Li
Journal:  Int J Biol Sci       Date:  2011-09-14       Impact factor: 6.580

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