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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...

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Autores principales: Li, Jun-Yi, Sun, Fei, Yang, Chun-Liang, Zhou, Hai-Feng, Gao, Min, Zhang, Qi, Chen, Hui, Zhou, Peng, Xiao, Jun, Fan, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
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.
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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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