Author
Listed:
- Liujia Qian
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Jianqing Zhu
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Zhangzhi Xue
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Yan Zhou
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Nan Xiang
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Hong Xu
(Zhejiang University)
- Rui Sun
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Wangang Gong
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Xue Cai
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Lu Sun
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Weigang Ge
(Ltd.)
- Yufeng Liu
(Zhejiang University)
- Ying Su
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Wangmin Lin
(Ltd.)
- Yuecheng Zhan
(Ltd.)
- Junjian Wang
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Shuang Song
(Zhejiang University)
- Xiao Yi
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Maowei Ni
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Yi Zhu
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
- Yuejin Hua
(Zhejiang University)
- Zhiguo Zheng
(Zhejiang Cancer Hospital
Chinese Academy of Sciences)
- Tiannan Guo
(Westlake University
Westlake Laboratory of Life Sciences and Biomedicine
Westlake University
Westlake University)
Abstract
Epithelial ovarian cancer (EOC) is a deadly disease with limited diagnostic biomarkers and therapeutic targets. Here we conduct a comprehensive proteomic profiling of ovarian tissue and plasma samples from 813 patients with different histotypes and therapeutic regimens, covering the expression of 10,715 proteins. We identify eight proteins associated with tumor malignancy in the tissue specimens, which are further validated as potential circulating biomarkers in plasma. Targeted proteomics assays are developed for 12 tissue proteins and 7 blood proteins, and machine learning models are constructed to predict one-year recurrence, which are validated in an independent cohort. These findings contribute to the understanding of EOC pathogenesis and provide potential biomarkers for early detection and monitoring of the disease. Additionally, by integrating mutation analysis with proteomic data, we identify multiple proteins related to DNA damage in recurrent resistant tumors, shedding light on the molecular mechanisms underlying treatment resistance. This study provides a multi-histotype proteomic landscape of EOC, advancing our knowledge for improved diagnosis and treatment strategies.
Suggested Citation
Liujia Qian & Jianqing Zhu & Zhangzhi Xue & Yan Zhou & Nan Xiang & Hong Xu & Rui Sun & Wangang Gong & Xue Cai & Lu Sun & Weigang Ge & Yufeng Liu & Ying Su & Wangmin Lin & Yuecheng Zhan & Junjian Wang , 2024.
"Proteomic landscape of epithelial ovarian cancer,"
Nature Communications, Nature, vol. 15(1), pages 1-20, December.
Handle:
RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50786-z
DOI: 10.1038/s41467-024-50786-z
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