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Proteome Landscapes of Human Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma.

Authors :
Yi X
Zhu J
Liu W
Peng L
Lu C
Sun P
Huang L
Nie X
Huang S
Guo T
Zhu Y
Source :
Molecular & cellular proteomics : MCP [Mol Cell Proteomics] 2023 Aug; Vol. 22 (8), pp. 100604. Date of Electronic Publication: 2023 Jun 22.
Publication Year :
2023

Abstract

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.<br />Competing Interests: Conflict of interest T. G. and Y. Z. are shareholders of Westlake Omics, Inc. W. L. and L. H. are employees of Westlake Omics, Inc. The remaining authors declare no competing interests.<br /> (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1535-9484
Volume :
22
Issue :
8
Database :
MEDLINE
Journal :
Molecular & cellular proteomics : MCP
Publication Type :
Academic Journal
Accession number :
37353004
Full Text :
https://doi.org/10.1016/j.mcpro.2023.100604