Proteome Landscapes of Human Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma.
Proteome Landscapes of Human Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma.
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DOI:
10.1016/j.mcpro.2023.100604
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发表时间:
2023-08
影响因子:
7
通讯作者:
Zhu, Yi
中科院分区:
文献类型:
--
作者:
Yi, Xiao;Zhu, Jiang;Liu, Wei;Peng, Li;Lu, Cong;Sun, Ping;Huang, Lingling;Nie, Xiu;Huang, Shi'ang;Guo, Tiannan;Zhu, Yi
Liver cancer is among the top leading causes of cancer mortality worldwide. Particularly, hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (CCA) have been extensively investigated from the aspect of tumor biology. However, a comprehensive and systematic understanding of the molecular characteristics of HCC and CCA remains absent. Here, we characterized the proteome landscapes of HCC and CCA using the data-independent acquisition (DIA) mass spectrometry (MS) method. By comparing the quantitative proteomes of HCC and CCA, we found several differences between the two cancer types. In particular, we found an abnormal lipid metabolism in HCC and activated extracellular matrix-related pathways in CCA. We next developed a three-protein classifier to distinguish CCA from HCC, achieving an area under the curve (AUC) of 0.92, and an accuracy of 90% in an independent validation cohort of 51 patients. The distinct molecular characteristics of HCC and CCA presented in this study provide new insights into the tumor biology of these two major important primary liver cancers. Our findings may help develop more efficient diagnostic approaches and new targeted drug treatments. Comprehensive proteome landscapes of HCC and CCA. The dysregulation of lipid metabolism in HCC. The activation of extracellular matrix (ECM)-related pathways in CCA. A three-protein classifier distinguishing HCC from CCA. We used the DIA-MS methodology to characterize the proteomes of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (CCA). We found an abnormal lipid metabolism in HCC and the activation of ECM-related pathways in CCA. We then developed a three-protein classifier to distinguish CCA and HCC, which achieved an AUC of 0.92 and an accuracy of 90% in the validation cohort. The distinct molecular characteristics of HCC and CCA provided new insights into the tumor biology of liver cancers.
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影响因子:
14.8
作者:
Cai, Xue;Xue, Zhangzhi;Wu, Chunlong;Sun, Rui;Qian, Liujia;Yue, Liang;Ge, Weigang;Yi, Xiao;Liu, Wei;Chen, Chen;Gao, Huanhuan;Yu, Jing;Xu, Luang;Zhu, Yi;Guo, Tiannan
通讯作者:
Guo, Tiannan
影响因子:
82.9
作者:
通讯作者:
--
影响因子:
50.3
作者:
Dong, Liangqing;Lu, Dayun;Fan, Jia
通讯作者:
Fan, Jia
影响因子:
8.4
作者:
Liu, Zhengtao;Zhang, Cheng;Mardinoglu, Adil
通讯作者:
Mardinoglu, Adil
影响因子:
3.4
作者:
Xu B;Cai Z;Zeng Y;Chen L;Du X;Huang A;Liu X;Liu J
通讯作者:
Liu J