Literature DB >> 25035170

Identification and validation of TGFBI as a promising prognosis marker of clear cell renal cell carcinoma.

Souhil Lebdai1, Gregory Verhoest2, Hemang Parikh3, Solène Florence Jacquet4, Karim Bensalah2, Denis Chautard1, Nathalie Rioux Leclercq4, Abdel Rahmène Azzouzi1, Pierre Bigot5.   

Abstract

OBJECTIVE: To identify prognostic biomarkers in clear cell renal cell carcinoma (ccRCC) using a proteomic approach.
MATERIAL AND METHODS: We performed a comparative proteomic profiling of ccRCC and normal renal tissues from 9 different human specimens. We assessed differential protein expression by iTRAQ (isobaric tagging reagent for absolute quantify) labeling with regard to tumor aggressiveness according to the stage, size, grade, and necrosis (SSIGN) score and confirmed our results using Western blot (9 patients) and immunohistochemistry (135 patients) analysis.
RESULTS: After proteomic analysis, 928 constitutive proteins were identified. Among these proteins, 346 had a modified expression in tumor compared with that of normal tissue. Pathway and integrated analyses indicated the presence of an up-regulation of the pentose phosphate pathway in aggressive tumors. In total, 14 proteins were excreted and could potentially become biomarkers. Overexpression of transforming growth factor, beta-induced (TGFBI) in ccRCC was confirmed using Western blot and immunohistochemistry analysis. A significant association was found between the presence of TGFBI expression with tumor category T3-4 (P<0.0001), Fuhrman grades III and IV (P<0.0001), tumor size>4cm (P<0.0001), presence of tumor necrosis (P<0.0001), nodal involvement (n = 0.009), metastasis (P = 0.012), SSIGN score≥5 (P<0.0001), cancer progression (P<0.0001), and cancer-specific death (P<0.0001). Cancer-specific survival was significantly better for patients with no cytoplasmic TGFBI expression (1-, 3-, 5-y cancer-specific survival of 94.7%, 87.8%, and 73.4% vs. 92.9%, 71.2%, and 49.8%, respectively; P<0.0001).
CONCLUSION: We identified 346 proteins involved in renal carcinogenesis and confirmed the presence of a metabolic shift in aggressive tumors. TGFBI was overexpressed in tumors with high SSIGN scores and was significantly associated with oncologic outcomes.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mass spectrometry; Prognosis; Proteomics; Renal cancer; SSIGN score; Transforming growth factor beta-induced protein ig-h3

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Year:  2014        PMID: 25035170     DOI: 10.1016/j.urolonc.2014.06.005

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  21 in total

1.  [Quantitative and comparative proteomics analysis in clear cell renal cell carcinoma and adjacent noncancerous tissues by 2-D DIGE].

Authors:  Zhuang-Fei Chen; Yao-Jun Xiao; Ze-Hai Huang; Tong Chen; Shan-Chao Zhao; Yao-Dong Jiang; Peng Wu; Shao-Bin Zheng
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-11-20

2.  Label-free quantitative proteomic analysis reveals potential biomarkers and pathways in renal cell carcinoma.

Authors:  Zuohui Zhao; Fei Wu; Sentai Ding; Liang Sun; Zhao Liu; Kejia Ding; Jiaju Lu
Journal:  Tumour Biol       Date:  2014-10-15

3.  Transforming growth factor-β1 enhances proliferative and metastatic potential by up-regulating lymphoid enhancer-binding factor 1/integrin αMβ2 in human renal cell carcinoma.

Authors:  Yuting Liu; Donghao Shang
Journal:  Mol Cell Biochem       Date:  2019-12-17       Impact factor: 3.396

4.  Transforming growth factor beta induced (TGFBI) is a potential signature gene for mesenchymal subtype high-grade glioma.

Authors:  Yuan-Bo Pan; Chi-Hao Zhang; Si-Qi Wang; Peng-Hui Ai; Kui Chen; Liang Zhu; Zhao-Liang Sun; Dong-Fu Feng
Journal:  J Neurooncol       Date:  2018-01-02       Impact factor: 4.130

5.  Prognostic significance of two lipid metabolism enzymes, HADHA and ACAT2, in clear cell renal cell carcinoma.

Authors:  Zuohui Zhao; Jiaju Lu; Liping Han; Xiaoqing Wang; Quanzhan Man; Shuai Liu
Journal:  Tumour Biol       Date:  2015-12-29

6.  Exome Chip Analyses and Genetic Risk for IgA Nephropathy among Han Chinese.

Authors:  Xu-Jie Zhou; Lam C Tsoi; Yong Hu; Matthew T Patrick; Kevin He; Celine C Berthier; Yanming Li; Yan-Na Wang; Yuan-Yuan Qi; Yue-Miao Zhang; Ting Gan; Yang Li; Ping Hou; Li-Jun Liu; Su-Fang Shi; Ji-Cheng Lv; Hu-Ji Xu; Hong Zhang
Journal:  Clin J Am Soc Nephrol       Date:  2021-01-18       Impact factor: 8.237

7.  Tumor size, stage and grade alterations of urinary peptidome in RCC.

Authors:  Clizia Chinello; Marta Cazzaniga; Gabriele De Sio; Andrew James Smith; Angelica Grasso; Bernardo Rocco; Stefano Signorini; Marco Grasso; Silvano Bosari; Italo Zoppis; Giancarlo Mauri; Fulvio Magni
Journal:  J Transl Med       Date:  2015-10-20       Impact factor: 5.531

8.  TGFBI Expression Predicts the Survival of Patients With Oropharyngeal Squamous Cell Carcinoma.

Authors:  Ha-Jeong Kim; Dongbin Ahn; Tae-In Park; Ji Yun Jeong
Journal:  In Vivo       Date:  2020 Sep-Oct       Impact factor: 2.155

9.  Proteotranscriptomic Analysis Reveals Stage Specific Changes in the Molecular Landscape of Clear-Cell Renal Cell Carcinoma.

Authors:  Benjamin A Neely; Christopher E Wilkins; Laura A Marlow; Dariya Malyarenko; Yunee Kim; Alexandr Ignatchenko; Heather Sasinowska; Maciek Sasinowski; Julius O Nyalwidhe; Thomas Kislinger; John A Copland; Richard R Drake
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

10.  The pVHL172 isoform is not a tumor suppressor and up-regulates a subset of pro-tumorigenic genes including TGFB1 and MMP13.

Authors:  Pauline Hascoet; Franck Chesnel; Florence Jouan; Cathy Le Goff; Anne Couturier; Eric Darrigrand; Fabrice Mahe; Nathalie Rioux-Leclercq; Xavier Le Goff; Yannick Arlot-Bonnemains
Journal:  Oncotarget       Date:  2017-06-06
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