Abstract

Clear cell carcinoma (CCC), endometrioid carcinoma (EC), and serous carcinoma (SC) are the major histological subtypes of epithelial ovarian cancer (EOC), whose differences in carcinogenesis are still unclear. Here, we undertake comprehensive proteomic profiling of 80 CCC, 79 EC, 80 SC, and 30 control samples. Our analysis reveals the prognostic or diagnostic value of dysregulated proteins and phosphorylation sites in important pathways. Moreover, protein co-expression network not only provides comprehensive view of biological features of each histological subtype, but also indicates potential prognostic biomarkers and progression landmarks. Notably, EOC have strong inter-tumor heterogeneity, with significantly different clinical characteristics, proteomic patterns and signaling pathway disorders in CCC, EC, and SC. Finally, we infer MPP7 protein as potential therapeutic target for SC, whose biological functions are confirmed in SC cells. Our proteomic cohort provides valuable resources for understanding molecular mechanisms and developing treatment strategies of distinct histological subtypes.

The molecular phenotypic features of epithelial ovarian cancer (EOC) remain elusive. Here, the authors perform mass spectrometry-based proteomic profiling for 269 EOC patients and reveal molecularly distinct features and potential therapeutic targets among the histological subtypes of EOC.

Details

Title
Proteomic characterization of epithelial ovarian cancer delineates molecular signatures and therapeutic targets in distinct histological subtypes
Author
Gong, Ting-Ting 1 ; Guo, Shuang 2 ; Liu, Fang-Hua 3 ; Huo, Yun-Long 4 ; Zhang, Meng 3 ; Yan, Shi 3 ; Zhou, Han-Xiao 2 ; Pan, Xu 2 ; Wang, Xin-Yue 2 ; Xu, He-Li 3 ; Kang, Ye 4 ; Li, Yi-Zi 3 ; Qin, Xue 1 ; Xiao, Qian 5 ; Huang, Dong-Hui 3 ; Li, Xiao-Ying 3 ; Zhao, Yue-Yang 6 ; Zhao, Xin-Xin 6 ; Wang, Ya-Li 6 ; Ma, Xiao-Xin 1 ; Gao, Song 1 ; Zhao, Yu-Hong 3 ; Ning, Shang-Wei 2   VIAFID ORCID Logo  ; Wu, Qi-Jun 7   VIAFID ORCID Logo 

 Shengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, China (GRID:grid.412636.4) 
 Harbin Medical University, College of Bioinformatics Science and Technology, Harbin, China (GRID:grid.410736.7) (ISNI:0000 0001 2204 9268) 
 Shengjing Hospital of China Medical University, Department of Clinical Epidemiology, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501); Shengjing Hospital of China Medical University, Clinical Research Center, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501); Shengjing Hospital of China Medical University, Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501) 
 Shengjing Hospital of China Medical University, Department of Pathology, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501) 
 Shengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, China (GRID:grid.412636.4); Shengjing Hospital of China Medical University, Department of Clinical Epidemiology, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501) 
 Shengjing Hospital of China Medical University, Department of Clinical Epidemiology, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501) 
 Shengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, China (GRID:grid.412636.4); Shengjing Hospital of China Medical University, Department of Clinical Epidemiology, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501); Shengjing Hospital of China Medical University, Clinical Research Center, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501); Shengjing Hospital of China Medical University, Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China (GRID:grid.412467.2) (ISNI:0000 0004 1806 3501); NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China (GRID:grid.412449.e) (ISNI:0000 0000 9678 1884) 
Pages
7802
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2894585745
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.