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GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive tumor of the digestive system which has a less than 1% 5-year survival rate. The pathogenesis of PDAC development is incompletely understood. Genetic predisposition, disease history of chronic pancreatitis and diabetes elevate the risk o...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109144/ https://www.ncbi.nlm.nih.gov/pubmed/33882453 http://dx.doi.org/10.18632/aging.202892 |
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author | Li, Jun-Yi Sun, Fei Yang, Chun-Liang Zhou, Hai-Feng Gao, Min Zhang, Qi Chen, Hui Zhou, Peng Xiao, Jun Fan, Heng |
author_facet | Li, Jun-Yi Sun, Fei Yang, Chun-Liang Zhou, Hai-Feng Gao, Min Zhang, Qi Chen, Hui Zhou, Peng Xiao, Jun Fan, Heng |
author_sort | Li, Jun-Yi |
collection | PubMed |
description | Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive tumor of the digestive system which has a less than 1% 5-year survival rate. The pathogenesis of PDAC development is incompletely understood. Genetic predisposition, disease history of chronic pancreatitis and diabetes elevate the risk of PDAC while environmental and dietary factors including smoking, alcohol abuse, high fat/protein intake as well as air pollution exacerbate PDAC progression. BCAAs, consisting of leucine, isoleucine and valine are essential amino acids that are obtained from food and play versatile roles in carcinogenesis. Recent studies have demonstrated that BCAA metabolism affects PDAC development but the results are controversial. To explore the possible engagement of BCAA metabolism in PDAC, we took advantage of the GEO and TCGA database and discovered that BCAA uptake is closely related to PDAC development while BCAA catabolism is down-regulated in PDAC tissue. Besides, NOTCH and MYC are differentially involved in BCAA metabolism in tumor and muscle, and enhanced lipid synthesis is independent of BCAA catabolism. Altogether, we highlight BCAA uptake as a promising target for PDAC treatment. |
format | Online Article Text |
id | pubmed-8109144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-81091442021-05-12 GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients Li, Jun-Yi Sun, Fei Yang, Chun-Liang Zhou, Hai-Feng Gao, Min Zhang, Qi Chen, Hui Zhou, Peng Xiao, Jun Fan, Heng Aging (Albany NY) Research Paper Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive tumor of the digestive system which has a less than 1% 5-year survival rate. The pathogenesis of PDAC development is incompletely understood. Genetic predisposition, disease history of chronic pancreatitis and diabetes elevate the risk of PDAC while environmental and dietary factors including smoking, alcohol abuse, high fat/protein intake as well as air pollution exacerbate PDAC progression. BCAAs, consisting of leucine, isoleucine and valine are essential amino acids that are obtained from food and play versatile roles in carcinogenesis. Recent studies have demonstrated that BCAA metabolism affects PDAC development but the results are controversial. To explore the possible engagement of BCAA metabolism in PDAC, we took advantage of the GEO and TCGA database and discovered that BCAA uptake is closely related to PDAC development while BCAA catabolism is down-regulated in PDAC tissue. Besides, NOTCH and MYC are differentially involved in BCAA metabolism in tumor and muscle, and enhanced lipid synthesis is independent of BCAA catabolism. Altogether, we highlight BCAA uptake as a promising target for PDAC treatment. Impact Journals 2021-04-21 /pmc/articles/PMC8109144/ /pubmed/33882453 http://dx.doi.org/10.18632/aging.202892 Text en Copyright: © 2021 Li et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Li, Jun-Yi Sun, Fei Yang, Chun-Liang Zhou, Hai-Feng Gao, Min Zhang, Qi Chen, Hui Zhou, Peng Xiao, Jun Fan, Heng GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
title | GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
title_full | GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
title_fullStr | GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
title_full_unstemmed | GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
title_short | GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
title_sort | geo data mining and tcga analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109144/ https://www.ncbi.nlm.nih.gov/pubmed/33882453 http://dx.doi.org/10.18632/aging.202892 |
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