单位:[1]Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Integrated Tradit Chinese & Western M, Wuhan, Peoples R China华中科技大学同济医学院附属协和医院[2]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Ctr Biomed Res,Wuhan,Peoples R China科研平台生物医学研究中心生物医学中心华中科技大学同济医学院附属同济医院[3]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Endocrinol,Wuhan,Peoples R China内科学系内分泌内科华中科技大学同济医学院附属同济医院[4]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Dept Oncol,Wuhan,Peoples R China肿瘤科华中科技大学同济医学院附属同济医院[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外科学系华中科技大学同济医学院附属同济医院泌尿外科
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.
基金:
National Natural Science Foundation of China [81974400]
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
通讯作者:
推荐引用方式(GB/T 7714):
Li Jun-Yi,Sun Fei,Yang Chun-Liang,et al.GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients[J].AGING-US.2021,13(8):11907-11918.
APA:
Li, Jun-Yi,Sun, Fei,Yang, Chun-Liang,Zhou, Hai-Feng,Gao, Min...&Fan, Heng.(2021).GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients.AGING-US,13,(8)
MLA:
Li, Jun-Yi,et al."GEO data mining and TCGA analysis reveal altered branched chain amino acid metabolism in pancreatic cancer patients".AGING-US 13..8(2021):11907-11918