Evidence map›Paper›PMID 40739179›Full record

ArticleScientific reports2025

Proteomics analysis reveals FEN1 as a promising therapeutic target against small cell neuroendocrine carcinoma of the cervix.

Jianbing Liu, Meiying Zhong, Kai Yang, Jinjuan Wang, Haixia Ma, Wei Wang, Lin Sun, Lingling Liu, Jing Xu, Xiaohua Cui and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jianbing LiuSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China. liujianbing@sxmu.edu.cn.
Meiying ZhongSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.
Kai YangSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.
Jinjuan WangSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.
Haixia MaDepartment of Pathology, Shanxi Province Cancer Hospital, Taiyuan, 030013, China. 756985520@qq.com.
Wei WangDepartments of Obstetrics and Gynecology, the Second Hospital of Shanxi Medical University, Taiyuan, 036000, China.
Lin SunShanxi Second People's Hospital, General Surgery Department, Taiyuan, 030012, China.
Lingling LiuPathology Department, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
Jing XuSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.
Xiaohua CuiSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.
Jianqing HaoSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.
Li LiSchool of Basic Medical Sciences, Key Laboratory of Cellular Physiology(Shanxi Medical University, Ministry of Education), Shanxi Medical University, Taiyuan, 030001, China.

Funding

National Natural Science Foundation of China 82272622Shanxi Fundamental Research Program 202103021224237Shanxi Fundamental Research Program 20210302123277Shanxi Fundamental Research Program 20210302123320Shanxi Fundamental Research Program 20210302124577Shanxi Fundamental Research Program 202203021211045
6 · The paper itself

Abstract

Small cell neuroendocrine carcinoma of the cervix (SCNECC) is a rare, aggressive cervical cancer with poor prognosis. This study explored molecular drivers of SCNECC progression and identified potential therapeutic targets. Proteomic analysis was conducted to identify differentially expressed proteins (DEPs) in SCNECC. Subsequent GO and KEGG enrichment analyses were performed to delineate key DEPs. Functional assays, including CCK-8, colony formation, cell cycle, and apoptosis assays, were conducted to assess the roles of target genes. Expression levels of target genes were validated using qRT-PCR, western blot, and immunohistochemistry (IHC). Proteomic profiling revealed 2333 DEPs in SCNECC, comprising 2168 upregulated and 165 downregulated proteins. GO and KEGG analyses revealed that the upregulated DEPs were predominantly enriched in processes occurring within the cell nucleus, such as DNA replication, reflecting heightened proliferative activity in SCNECC. IHC confirmed FEN1 overexpression. Functional assays showed that FEN1 knockdown suppressed cell viability, colony formation, and cell cycle, promoted apoptosis, and impeded tumor growth in mice. SC13, a FEN1 inhibitor, also had similar effects. Furthermore, silencing FEN1 markedly reduced PIK3CA, PCNA, and BCL-2 levels, while elevating Caspase-9 expression.

conclusionFEN1 overexpression fuels SCNECC progression via PCNA regulation, positioning FEN1 as a promising SCNECC therapeutic target.

Indexed as

Carcinoma, NeuroendocrineCarcinoma, Small CellFlap EndonucleasesProteomicsUterine Cervical NeoplasmsAnimalsApoptosisCell CycleCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMiceXenograft Model Antitumor AssaysFlap EndonucleasesFEN1 proteinProteomic profilingSmall cell neuroendocrine carcinoma of the cervix (SCNECC)Therapeutic target

Identifiers

PMID40739179
PMCPMC12311185

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Registered trials

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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.