Literature DB >> 26631499

Expression of Genes Involved in Cellular Adhesion and Extracellular Matrix Remodeling Correlates with Poor Survival of Patients with Renal Cancer.

Joanna Boguslawska1, Hanna Kedzierska1, Piotr Poplawski1, Beata Rybicka1, Zbigniew Tanski1, Agnieszka Piekielko-Witkowska2.   

Abstract

PURPOSE: Renal cell carcinoma is the most common highly metastatic kidney malignancy. Adhesion has a crucial role in the metastatic process. TGF (transforming growth factor)-β1 is a pleiotropic cytokine that influences cancerous transformation. We hypothesized that 1) changes in the expression of adhesion related genes may influence survival rate of patients with renal cell carcinoma and 2) TGF-β1 may contribute to changed expression of adhesion related genes.
MATERIALS AND METHODS: Two-step quantitative real-time polymerase chain reaction arrays were used to analyze the expression of adhesion related genes in 77 tumors and matched pair controls. The prognostic significance of genes was evaluated in TCGA (The Cancer Genome Atlas) data on 468 patients with renal cell carcinoma. Quantitative real-time polymerase chain reaction and Western blot were applied for TGF-β1 analysis. TGF-β1 mediated regulation of gene expression was analyzed by TGF-β1 supplementation of Caki-2 cells and quantitative real-time polymerase chain reaction.
RESULTS: The expression of 19 genes related to adhesion and extracellular matrix remodeling was statistically significantly disturbed in renal cell carcinoma compared with controls. The 10-gene expression signature (COL1A1, COL5A1, COL11A1, FN1, ICAM1, ITGAL, ITGAM, ITGB2, THBS2 and TIMP1) correlated with poor survival (HR 2.85, p = 5.7e-10). TGF-β1 expression was 22 times higher in renal cell carcinoma than in controls (p <0.0001). TGF-β1 induced expression of TGFBI, COL1A1, COL5A1, COL8A1, FN1, ITGA5, ITGAM and TIMP1 in a renal cell carcinoma derived cell line.
CONCLUSIONS: Disturbed expression of genes involved in adhesion and extracellular matrix remodeling develops early during renal cell carcinoma carcinogenesis and correlates with poor survival. TGF-β1 contributes to changed expression of extracellular matrix and adhesion related genes. Bioinformatic analysis performed on a broad panel of cancers of nonkidney origin suggests that disturbed expression of genes related to extracellular matrix and adhesion may be a universal feature of cancerous progression.
Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  extracellular matrix; gene expression; kidney neoplasms; receptors, transforming growth factor beta; survival

Mesh:

Substances:

Year:  2015        PMID: 26631499     DOI: 10.1016/j.juro.2015.11.050

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  44 in total

1.  Identification of Hub Genes and Therapeutic Agents for IgA Nephropathy Through Bioinformatics Analysis and Experimental Validation.

Authors:  Ming Xia; Di Liu; Haiyang Liu; Liang Peng; Danyi Yang; Chengyuan Tang; Guochun Chen; Yu Liu; Hong Liu
Journal:  Front Med (Lausanne)       Date:  2022-06-28

2.  Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine Learning.

Authors:  Yufei Zhou; Wenxiang Shi; Di Zhao; Shengjue Xiao; Kai Wang; Jing Wang
Journal:  Front Immunol       Date:  2022-07-04       Impact factor: 8.786

3.  Mutually Exclusive Expression of COL11A1 by CAFs and Tumour Cells in a Large panCancer and a Salivary Gland Carcinoma Cohort.

Authors:  Alexander Quaas; Jens Peter Klußmann; Christoph Arolt; Franziska Hoffmann; Lisa Nachtsheim; Philipp Wolber; Orlando Guntinas-Lichius; Reinhard Buettner; Ferdinand von Eggeling
Journal:  Head Neck Pathol       Date:  2021-08-10

4.  Tumor microenvironment-associated gene C3 can predict the prognosis of colorectal adenocarcinoma: a study based on TCGA.

Authors:  Y Liu; X Wang
Journal:  Clin Transl Oncol       Date:  2021-03-25       Impact factor: 3.405

5.  Restoration of type 1 iodothyronine deiodinase expression in renal cancer cells downregulates oncoproteins and affects key metabolic pathways as well as anti-oxidative system.

Authors:  Piotr Popławski; Jacek R Wiśniewski; Eddy Rijntjes; Keith Richards; Beata Rybicka; Josef Köhrle; Agnieszka Piekiełko-Witkowska
Journal:  PLoS One       Date:  2017-12-22       Impact factor: 3.240

6.  Thrombospondin-2 and LDH Are Putative Predictive Biomarkers for Treatment with Everolimus in Second-Line Metastatic Clear Cell Renal Cell Carcinoma (MARC-2 Study).

Authors:  Philip Zeuschner; Sebastian Hölters; Michael Stöckle; Barbara Seliger; Anja Mueller; Hagen S Bachmann; Viktor Grünwald; Daniel C Christoph; Arnulf Stenzl; Marc-Oliver Grimm; Fabian Brüning; Peter J Goebell; Marinela Augustin; Frederik Roos; Johanna Harde; Iris Benz-Rüd; Michael Staehler; Kerstin Junker
Journal:  Cancers (Basel)       Date:  2021-05-25       Impact factor: 6.639

7.  Decreased Expression of SRSF2 Splicing Factor Inhibits Apoptotic Pathways in Renal Cancer.

Authors:  Hanna Kędzierska; Piotr Popławski; Grażyna Hoser; Beata Rybicka; Katarzyna Rodzik; Elżbieta Sokół; Joanna Bogusławska; Zbigniew Tański; Anna Fogtman; Marta Koblowska; Agnieszka Piekiełko-Witkowska
Journal:  Int J Mol Sci       Date:  2016-09-28       Impact factor: 5.923

8.  In-depth proteomic analysis of tissue interstitial fluid for hepatocellular carcinoma serum biomarker discovery.

Authors:  Jian Zhang; Ning Hao; Wei Liu; Min Lu; Longqin Sun; Ning Chen; Miantao Wu; Xiaohang Zhao; Baocai Xing; Wei Sun; Fuchu He
Journal:  Br J Cancer       Date:  2017-10-12       Impact factor: 7.640

9.  COL1A1 promotes metastasis in colorectal cancer by regulating the WNT/PCP pathway.

Authors:  Zheying Zhang; Yongxia Wang; Jinghang Zhang; Jiateng Zhong; Rui Yang
Journal:  Mol Med Rep       Date:  2018-02-01       Impact factor: 2.952

10.  Bioinformatics analysis reveals novel hub gene pathways associated with IgA nephropathy.

Authors:  Xue Jiang; Zhijie Xu; Yuanyuan Du; Hongyu Chen
Journal:  Eur J Med Res       Date:  2020-09-07       Impact factor: 2.175

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.