Evidence map›Paper›PMID 38016970›Full record

ArticleNature communications2023

Proteomic characterization of epithelial ovarian cancer delineates molecular signatures and therapeutic targets in distinct histological subtypes.

Ting-Ting Gong, Shuang Guo, Fang-Hua Liu, Yun-Long Huo, Meng Zhang, Shi Yan, Han-Xiao Zhou, Xu Pan, Xin-Yue Wang, He-Li Xu and 14 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 23 citations in OpenAlex.

  1. Protein Variability Patterns in Ovarian Serous Carcinoma.International journal of molecular sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 3 institutions in 1 country.

Ting-Ting Gong *Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Shuang Guo *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Fang-Hua LiuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yun-Long HuoDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
Meng ZhangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Shi YanDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Han-Xiao ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xu PanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xin-Yue WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
He-Li XuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ye KangDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
Yi-Zi LiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xue QinDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Qian XiaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Dong-Hui HuangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xiao-Ying LiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yue-Yang ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xin-Xin ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ya-Li WangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xiao-Xin MaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Song GaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Yu-Hong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Shang-Wei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China. ningsw@ems.hrbmu.edu.cn.ORCID 0000-0003-4079-8945
Qi-Jun WuDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China. wuqj@sj-hospital.org.ORCID 0000-0001-9421-5114
China Medical University · CNHarbin Medical University · CNNational Health and Family Planning Commission · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82073647National Natural Science Foundation of China (National Science Foundation of China) 82103914National Natural Science Foundation of China (National Science Foundation of China) 82373674
6 · The paper itself

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.

Indexed as

Carcinoma, EndometrioidOvarian NeoplasmsBiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleHumansMembrane ProteinsProteomicsSignal TransductionBiomarkers, TumorMembrane ProteinsMPP7 protein, human

Identifiers

PMID38016970
PMCPMC10684593
OpenAlexW4389074641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.