Evidence map›Paper›PMID 41158463›Full record

ArticleFrontiers in medicine2025

Multi-omics profiling reveals the role of 4-ethylbenzoic acid in promoting proliferation and invasion of cervical cancer.

Xiaoling Huang, Shan Lu, Xiaoge Li, Jin Wu, Qiao Zu, Zhaoning Duan, Ming Luo, Ying Jia

Abstract read
In one paragraph

Article in Frontiers in medicine, 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. Review
  3. Review
  4. Review
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

8 authors.

Xiaoling HuangChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shan LuChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoge LiChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jin WuChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qiao ZuChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhaoning DuanChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ming LuoChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying JiaChongqing Key Laboratory of Molecular Oncology and Epigenetics, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cervical cancer (CC) is a global health challenge, ranking fourth among cancers in women. Microbiome-metabolome interactions influence human papillomavirus (HPV) associated carcinogenesis, but specific microbial metabolites driving malignant progression remain undefined. This study aimed to identify potential biomarkers for distinguishing CC, and further explore their role in the progression of CC. Methods: Non-targeted metabolomics was employed to profile alterations in the vaginal microenvironment across clinical cohorts, including individuals with CC, individuals with cervical intraepithelial neoplasia (CIN), HPV-positive individuals, and HPV-negative individuals. Targeted metabolomics was then used to confirm the expression of 4-ethylbenzoic acid (4-EA) levels and its role in CC was explored using cell counting kit-8, 5-ethynyl-2'-deoxyuridine, colony formation, transwell, and wound healing assays. Proteomics was used to investigate the effects of 4-EA on CC cells. Results: The metabolic profiles of vaginal secretions in the CC group differed significantly from those in the other three groups. Untargeted metabolomics identified 27 CC-specific metabolites (VIP > 2, Conclusion: This multi-omics investigation identified 4-EA as a novel candidate metabolite and a potential biomarker of CC. Identification of key proteins may provide new insights for interventions targeting the development of CC.

Indexed as

4-ethylbenzoic acidbiomarkercervical cancermetabolomicsproteomics

Identifiers

PMID41158463
PMCPMC12557335

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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.