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MicroRNA-Mediated Metabolic Reprograming in Renal Cancer

Metabolic reprogramming is one of the hallmarks of renal cell cancer (RCC). We hypothesized that altered metabolism of RCC cells results from dysregulation of microRNAs targeting metabolically relevant genes. Combined large-scale transcriptomic and metabolic analysis of RCC patients tissue samples r...

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Autores principales: Bogusławska, Joanna, Popławski, Piotr, Alseekh, Saleh, Koblowska, Marta, Iwanicka-Nowicka, Roksana, Rybicka, Beata, Kędzierska, Hanna, Głuchowska, Katarzyna, Hanusek, Karolina, Tański, Zbigniew, Fernie, Alisdair R., Piekiełko-Witkowska, Agnieszka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966432/
https://www.ncbi.nlm.nih.gov/pubmed/31756931
http://dx.doi.org/10.3390/cancers11121825
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author Bogusławska, Joanna
Popławski, Piotr
Alseekh, Saleh
Koblowska, Marta
Iwanicka-Nowicka, Roksana
Rybicka, Beata
Kędzierska, Hanna
Głuchowska, Katarzyna
Hanusek, Karolina
Tański, Zbigniew
Fernie, Alisdair R.
Piekiełko-Witkowska, Agnieszka
author_facet Bogusławska, Joanna
Popławski, Piotr
Alseekh, Saleh
Koblowska, Marta
Iwanicka-Nowicka, Roksana
Rybicka, Beata
Kędzierska, Hanna
Głuchowska, Katarzyna
Hanusek, Karolina
Tański, Zbigniew
Fernie, Alisdair R.
Piekiełko-Witkowska, Agnieszka
author_sort Bogusławska, Joanna
collection PubMed
description Metabolic reprogramming is one of the hallmarks of renal cell cancer (RCC). We hypothesized that altered metabolism of RCC cells results from dysregulation of microRNAs targeting metabolically relevant genes. Combined large-scale transcriptomic and metabolic analysis of RCC patients tissue samples revealed a group of microRNAs that contribute to metabolic reprogramming in RCC. miRNAs expressions correlated with their predicted target genes and with gas chromatography-mass spectrometry (GC-MS) metabolome profiles of RCC tumors. Assays performed in RCC-derived cell lines showed that miR-146a-5p and miR-155-5p targeted genes of PPP (the pentose phosphate pathway) (G6PD and TKT), the TCA (tricarboxylic acid cycle) cycle (SUCLG2), and arginine metabolism (GATM), respectively. miR-106b-5p and miR-122-5p regulated the NFAT5 osmoregulatory transcription factor. Altered expressions of G6PD, TKT, SUCLG2, GATM, miR-106b-5p, miR-155-5p, and miR-342-3p correlated with poor survival of RCC patients. miR-106b-5p, miR-146a-5p, and miR-342-3p stimulated proliferation of RCC cells. The analysis involving >6000 patients revealed that miR-34a-5p, miR-106b-5p, miR-146a-5p, and miR-155-5p are PanCancer metabomiRs possibly involved in global regulation of cancer metabolism. In conclusion, we found that microRNAs upregulated in renal cancer contribute to disturbed expression of key genes involved in the regulation of RCC metabolome. miR-146a-5p and miR-155-5p emerge as a key “metabomiRs” that target genes of crucial metabolic pathways (PPP (the pentose phosphate pathway), TCA cycle, and arginine metabolism).
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spelling pubmed-69664322020-01-27 MicroRNA-Mediated Metabolic Reprograming in Renal Cancer Bogusławska, Joanna Popławski, Piotr Alseekh, Saleh Koblowska, Marta Iwanicka-Nowicka, Roksana Rybicka, Beata Kędzierska, Hanna Głuchowska, Katarzyna Hanusek, Karolina Tański, Zbigniew Fernie, Alisdair R. Piekiełko-Witkowska, Agnieszka Cancers (Basel) Article Metabolic reprogramming is one of the hallmarks of renal cell cancer (RCC). We hypothesized that altered metabolism of RCC cells results from dysregulation of microRNAs targeting metabolically relevant genes. Combined large-scale transcriptomic and metabolic analysis of RCC patients tissue samples revealed a group of microRNAs that contribute to metabolic reprogramming in RCC. miRNAs expressions correlated with their predicted target genes and with gas chromatography-mass spectrometry (GC-MS) metabolome profiles of RCC tumors. Assays performed in RCC-derived cell lines showed that miR-146a-5p and miR-155-5p targeted genes of PPP (the pentose phosphate pathway) (G6PD and TKT), the TCA (tricarboxylic acid cycle) cycle (SUCLG2), and arginine metabolism (GATM), respectively. miR-106b-5p and miR-122-5p regulated the NFAT5 osmoregulatory transcription factor. Altered expressions of G6PD, TKT, SUCLG2, GATM, miR-106b-5p, miR-155-5p, and miR-342-3p correlated with poor survival of RCC patients. miR-106b-5p, miR-146a-5p, and miR-342-3p stimulated proliferation of RCC cells. The analysis involving >6000 patients revealed that miR-34a-5p, miR-106b-5p, miR-146a-5p, and miR-155-5p are PanCancer metabomiRs possibly involved in global regulation of cancer metabolism. In conclusion, we found that microRNAs upregulated in renal cancer contribute to disturbed expression of key genes involved in the regulation of RCC metabolome. miR-146a-5p and miR-155-5p emerge as a key “metabomiRs” that target genes of crucial metabolic pathways (PPP (the pentose phosphate pathway), TCA cycle, and arginine metabolism). MDPI 2019-11-20 /pmc/articles/PMC6966432/ /pubmed/31756931 http://dx.doi.org/10.3390/cancers11121825 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bogusławska, Joanna
Popławski, Piotr
Alseekh, Saleh
Koblowska, Marta
Iwanicka-Nowicka, Roksana
Rybicka, Beata
Kędzierska, Hanna
Głuchowska, Katarzyna
Hanusek, Karolina
Tański, Zbigniew
Fernie, Alisdair R.
Piekiełko-Witkowska, Agnieszka
MicroRNA-Mediated Metabolic Reprograming in Renal Cancer
title MicroRNA-Mediated Metabolic Reprograming in Renal Cancer
title_full MicroRNA-Mediated Metabolic Reprograming in Renal Cancer
title_fullStr MicroRNA-Mediated Metabolic Reprograming in Renal Cancer
title_full_unstemmed MicroRNA-Mediated Metabolic Reprograming in Renal Cancer
title_short MicroRNA-Mediated Metabolic Reprograming in Renal Cancer
title_sort microrna-mediated metabolic reprograming in renal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966432/
https://www.ncbi.nlm.nih.gov/pubmed/31756931
http://dx.doi.org/10.3390/cancers11121825
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