Literature DB >> 27663598

Overexpression of Functional SLC6A3 in Clear Cell Renal Cell Carcinoma.

Jennifer Hansson1, David Lindgren1, Helén Nilsson2, Elinn Johansson1, Martin Johansson2, Lena Gustavsson3, Håkan Axelson4.   

Abstract

Purpose: Renal cell carcinoma (RCC) is derived from a tissue with a remarkable capacity for vectorial transport. We therefore performed an unbiased exploration of transporter proteins in normal kidney and kidney cancer to discover novel clinical targets.Experimental Design: Using The Cancer Genome Atlas (TCGA) database, we investigated differences in membrane transporter expression in clear cell RCC (ccRCC) and normal kidney. We identified the dopamine transporter SLC6A3 as a specific biomarker for ccRCC. To investigate the functionality of SLC6A3, we used a [3H]-dopamine uptake assay on ccRCC cells. We further explored the effect of hypoxia-inducible factor (HIF) proteins on SLC6A3 expression by introducing siRNA in ccRCC cells and by hypoxic treatment of nonmalignant cells.
Results: We show that ccRCC expresses very high transcript levels of SLC6A3 in contrast to normal kidney tissue and other tumor types, which do not express appreciable levels of this transporter. Importantly, we demonstrate that the elevated expression of SLC6A3 in ccRCC cells is associated with specific uptake of dopamine. By targeting the expression of HIF-1α and HIF-2α, we could show that SLC6A3 expression is primarily influenced by HIF-2α and that hypoxia can induce SLC6A3 expression in normal renal cells.Conclusions: We conclude that the dopamine transporter SLC6A3 constitutes a novel biomarker that is highly specific for ccRCC. We further postulate that the protein can be exploited for diagnostic or therapeutic purposes for detection or treatment of ccRCC. Clin Cancer Res; 23(8); 2105-15. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27663598     DOI: 10.1158/1078-0432.CCR-16-0496

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  11 in total

1.  Kidney cancer: DA transporter a ccRCC biomarker?

Authors:  Annette Fenner
Journal:  Nat Rev Urol       Date:  2016-10-11       Impact factor: 14.432

2.  MIXnorm: normalizing RNA-seq data from formalin-fixed paraffin-embedded samples.

Authors:  Shen Yin; Xinlei Wang; Gaoxiang Jia; Yang Xie
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

3.  The Landscape of Iron Metabolism-Related and Methylated Genes in the Prognosis Prediction of Clear Cell Renal Cell Carcinoma.

Authors:  Yanhua Mou; Yao Zhang; Jinchun Wu; Busheng Hu; Chunfang Zhang; Chaojun Duan; Bin Li
Journal:  Front Oncol       Date:  2020-05-22       Impact factor: 6.244

4.  Identification of significant genes with prognostic influence in clear cell renal cell carcinoma via bioinformatics analysis.

Authors:  Fangyuan Zhang; Pengjie Wu; Yalong Wang; Mengxian Zhang; Xiaodan Wang; Ting Wang; Shengwen Li; Dong Wei
Journal:  Transl Androl Urol       Date:  2020-04

5.  Integrative analysis of genetic and epigenetic profiling of lung squamous cell carcinoma (LSCC) patients to identify smoking level relevant biomarkers.

Authors:  Bidong Ma; Zhiyou Huang; Qian Wang; Jizhou Zhang; Bin Zhou; Jiaohong Wu
Journal:  BioData Min       Date:  2019-10-21       Impact factor: 2.522

6.  RNA Sequencing of Collecting Duct Renal Cell Carcinoma Suggests an Interaction between miRNA and Target Genes and a Predominance of Deregulated Solute Carrier Genes.

Authors:  Sven Wach; Helge Taubert; Katrin Weigelt; Nora Hase; Marcel Köhn; Danny Misiak; Stefan Hüttelmaier; Christine G Stöhr; Andreas Kahlmeyer; Florian Haller; Julio Vera; Arndt Hartmann; Bernd Wullich; Xin Lai
Journal:  Cancers (Basel)       Date:  2019-12-24       Impact factor: 6.639

Review 7.  The Role of Artificial Intelligence in the Diagnosis and Prognosis of Renal Cell Tumors.

Authors:  Matteo Giulietti; Monia Cecati; Berina Sabanovic; Andrea Scirè; Alessia Cimadamore; Matteo Santoni; Rodolfo Montironi; Francesco Piva
Journal:  Diagnostics (Basel)       Date:  2021-01-30

8.  T and NK cell abundance defines two distinct subgroups of renal cell carcinoma.

Authors:  Moon Hee Lee; Petrus Järvinen; Harry Nísen; Oscar Brück; Mette Ilander; Ilona Uski; Jason Theodoropoulos; Matti Kankainen; Tuomas Mirtti; Satu Mustjoki; Anna Kreutzman
Journal:  Oncoimmunology       Date:  2022-01-04       Impact factor: 8.110

9.  Screening and Validation of a Carvacrol-Targeting Viability-Regulating Protein, SLC6A3, in Liver Hepatocellular Carcinoma.

Authors:  Xieling Yin; Hongjian Chen; Shi Chen; Suqing Zhang
Journal:  Dis Markers       Date:  2022-03-30       Impact factor: 3.434

10.  Expression signature of six-snoRNA serves as novel non-invasive biomarker for diagnosis and prognosis prediction of renal clear cell carcinoma.

Authors:  Yanyun Zhao; Yuanyuan Yan; Rong Ma; Xuemei Lv; Liwen Zhang; Jinlong Wang; Wenjing Zhu; Lan Zhao; Longyang Jiang; Lin Zhao; Lijie Wen; Bo Yang; Yuzong Chen; Miao He; Mingyan Liu; Minjie Wei
Journal:  J Cell Mol Med       Date:  2020-01-14       Impact factor: 5.310

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