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GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients

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单位: [1]Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Integrated Tradit Chinese & Western M, Wuhan, Peoples R China [2]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Ctr Biomed Res,Wuhan,Peoples R China [3]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Endocrinol,Wuhan,Peoples R China [4]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Dept Oncol,Wuhan,Peoples R China [5]Yangtze Univ, Sch Med, Dept Immunol, Jingzhou, Peoples R China [6]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Dept Urol,Wuhan,Peoples R China
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关键词: branched chain amino acids pancreatic ductal adenocarcinoma BCAA uptake data mining

摘要:
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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出版当年[2020]版:
大类 | 2 区 医学
小类 | 1 区 老年医学 3 区 细胞生物学
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出版当年[2019]版:
Q1 GERIATRICS & GERONTOLOGY Q2 CELL BIOLOGY
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Q2 CELL BIOLOGY Q2 GERIATRICS & GERONTOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Integrated Tradit Chinese & Western M, Wuhan, Peoples R China
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