Evidence map›Paper›PMID 39974380›Full record

ArticleTranslational cancer research2025

Yifan Wang, Jia Yao, Meilian Wei, Qianru Jiang, Haiming Luo, Sidan Lai, Zhulin Liu, Hongsheng Zou, Chenlong Wang, Meijian Liao

Abstract read
In one paragraph

Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Downregulation ofTranslational cancer research · 2025
    Article
  3. Article
  4. Article
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

10 authors.

Yifan WangDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Jia YaoDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Meilian WeiDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Qianru JiangDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Haiming LuoDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Sidan LaiDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Zhulin LiuDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Hongsheng ZouDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Chenlong WangDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.
Meijian LiaoDepartment of Pathology, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The current literature lacks reports on the roles of proliferative cells in tumorigenesis and causal relationship between proliferative cells and cervical cancer. This study aims to investigate the role and mechanism of proliferative cells in cervical cancer. Methods: Single-cell transcriptomics of cervical cancer were utilized to identify proliferative cells. Mendelian randomization (MR) and meta-analysis were employed to study the causal relationship between proliferative cells and cervical cancer. Additional assays such as 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), flow cytometry, gene set enrichment analysis (GSEA), and weighted gene co-expression network analysis (WGCNA) were exploited to study function of Results: Cervical cancer exhibited a higher proportion of proliferative cells in tumor tissue compared to healthy tissue, as evidenced by single-cell transcriptomics. Genes specifically expressed in proliferative cells were found to be predictive of the prognosis of cervical cancer patients [P=0.009; hazard ratio (high groups) =1.893; 95% confidence interval: 1.169-3.064]. Proliferative cells, rather than squamous or columnar epithelial cells, were causally associated with cervical cancer. Mechanistically, Conclusions: This study offered a novel perspective on the role of

Indexed as

cervical cancerEPB41L4A-AS1Mendelian randomization (MR)proliferative cellscRNA-seq

Identifiers

PMID39974380
PMCPMC11833381

What OpenQuestion holds

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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.