Literature DB >> 28579513

MicroRNAs and altered metabolism of clear cell renal cell carcinoma: Potential role as aerobic glycolysis biomarkers.

Mariana Morais1, Francisca Dias2, Ana L Teixeira3, Rui Medeiros4.   

Abstract

BACKGROUND: Warburg Effect is a metabolic switch that occurs in most of cancer cells but its advantages are not fully understood. This switch is known to happen in renal cell carcinoma (RCC), which is the most common solid cancer of the adult kidney. RCC carcinogenesis is related to pVHL loss and Hypoxia Inducible Factor (HIF) activation, ultimately leading to the activation of several genes related to glycolysis. MicroRNAs (miRNAs) regulate gene expression at a post-transcriptional level and are also deregulated in several cancers, including RCC. SCOPE OF REVIEW: This review focuses in the miRNAs that direct target enzymes involved in glycolysis and that are deregulated in several cancers. It also reviews the possible application of miRNAs in the improvement of clinical patients' management. MAJOR
CONCLUSIONS: Several miRNAs that direct target enzymes involved in glycolysis are downregulated in cancer, strongly influencing the Warburg Effect. Due to this strong influence, FDG-PET can possibly benefit from measurement of these miRNAs. Restoring their levels can also bring an improvement to the current therapies. GENERAL SIGNIFICANCE: Despite being known for almost a hundred years, the Warburg Effect is not fully understood. MiRNAs are now known to be intrinsically connected with this effect and present an opportunity to understand it. They also open a new door to improve current diagnosis and prognosis tests as well as to complement current therapies. This is urgent for cancers like RCC, mostly due to the lack of an efficient screening test for early relapse detection and follow-up and the development of resistance to current therapies.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aerobic glycolysis; Renal cell carcinoma; Warburg effect; microRNAs

Mesh:

Substances:

Year:  2017        PMID: 28579513     DOI: 10.1016/j.bbagen.2017.05.028

Source DB:  PubMed          Journal:  Biochim Biophys Acta Gen Subj        ISSN: 0304-4165            Impact factor:   3.770


  11 in total

Review 1.  Circulating microRNAs from the Molecular Mechanisms to Clinical Biomarkers: A Focus on the Clear Cell Renal Cell Carcinoma.

Authors:  Claudia Tito; Elena De Falco; Paolo Rosa; Alessia Iaiza; Francesco Fazi; Vincenzo Petrozza; Antonella Calogero
Journal:  Genes (Basel)       Date:  2021-07-28       Impact factor: 4.096

2.  LINC00511 promotes the malignant phenotype of clear cell renal cell carcinoma by sponging microRNA-625 and thereby increasing cyclin D1 expression.

Authors:  Huanghao Deng; Changkun Huang; Yinhuai Wang; Hongyi Jiang; Shuang Peng; Xiaokun Zhao
Journal:  Aging (Albany NY)       Date:  2019-08-21       Impact factor: 5.682

3.  A cluster of long non-coding RNAs exhibit diagnostic and prognostic values in renal cell carcinoma.

Authors:  Gong Cheng; Di Liu; Huageng Liang; Hongmei Yang; Ke Chen; Xiaoping Zhang
Journal:  Aging (Albany NY)       Date:  2019-11-14       Impact factor: 5.682

4.  Glycolysis-Related Genes Serve as Potential Prognostic Biomarkers in Clear Cell Renal Cell Carcinoma.

Authors:  Yan Zhang; Mingying Chen; Meihong Liu; Yingkun Xu; Guangzhen Wu
Journal:  Oxid Med Cell Longev       Date:  2021-01-23       Impact factor: 6.543

5.  miR-1224-3p Promotes Breast Cancer Cell Proliferation and Migration through PGM5-Mediated Aerobic Glycolysis.

Authors:  Fang Ran; Yanan Zhang; Yajiao Shi; Jie Liu; Huayue Li; Lihua Ding; Qinong Ye
Journal:  J Oncol       Date:  2021-04-19       Impact factor: 4.375

6.  A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma.

Authors:  Qianwei Xing; Tengyue Zeng; Shouyong Liu; Hong Cheng; Limin Ma; Yi Wang
Journal:  BMC Cancer       Date:  2021-04-09       Impact factor: 4.430

7.  MicroRNA regulation in blood cells of renal transplanted patients with interstitial fibrosis/tubular atrophy and antibody-mediated rejection.

Authors:  Mareen Matz; Frederik Heinrich; Christine Lorkowski; Kaiyin Wu; Jens Klotsche; Qiang Zhang; Nils Lachmann; Pawel Durek; Klemens Budde; Mir-Farzin Mashreghi
Journal:  PLoS One       Date:  2018-08-13       Impact factor: 3.240

8.  The microRNA miR-3174 Suppresses the Expression of ADAM15 and Inhibits the Proliferation of Patient-Derived Bladder Cancer Cells.

Authors:  Chunhu Yu; Ying Wang; Tiejun Liu; Kefu Sha; Zhaoxia Song; Mingjun Zhao; Xiaolin Wang
Journal:  Onco Targets Ther       Date:  2020-05-14       Impact factor: 4.147

9.  Pim1 promotes cell proliferation and regulates glycolysis via interaction with MYC in ovarian cancer.

Authors:  Yong Wu; Yu Deng; Jun Zhu; Yachen Duan; WeiWei Weng; Xiaohua Wu
Journal:  Onco Targets Ther       Date:  2018-10-09       Impact factor: 4.147

10.  microRNA-505 negatively regulates HMGB1 to suppress cell proliferation in renal cell carcinoma.

Authors:  Bing Zhong; Zhiqiang Qin; Hui Zhou; Fengming Yang; Ke Wei; Xi Jiang; Ruipeng Jia
Journal:  J Cell Physiol       Date:  2019-01-15       Impact factor: 6.384

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