Evidence map›Paper›PMID 36208338›Full record

ArticleInternational urogynecology journal2023

Bioinformatically deciphering immune cell infiltration and signature genes in pelvic organ prolapse.

Chenghao Wu, Zixuan Zhou, Yuanyuan Yang, Huaifang Li, Yi Guo, Xiaowen Tong

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In one paragraph

Article in International urogynecology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Chapter 4.5: New Proposed Treatments for Pelvic Organ Prolapse.International urogynecology journal · 2026
    Review
  5. Article
  6. Review
  7. Article
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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

6 authors at 1 institution in 1 country.

Chenghao Wu *Department of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, No.389 Xincun Road, Shanghai, 200065, People's Republic of China.
Zixuan Zhou *Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Burn Institute of PLA, Shanghai, 200433, People's Republic of China.
Yuanyuan YangDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, No.389 Xincun Road, Shanghai, 200065, People's Republic of China.
Huaifang LiDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, No.389 Xincun Road, Shanghai, 200065, People's Republic of China.
Yi GuoDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, No.389 Xincun Road, Shanghai, 200065, People's Republic of China. guoyi600@hotmail.com.
Xiaowen TongDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, No.389 Xincun Road, Shanghai, 200065, People's Republic of China. tongxiaowen2022@163.com.ORCID 0000-0003-4872-1678
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisThe study is aimed at bioinformatically deciphering immune cell infiltration, signature genes, and their correlations in POP.

methodsThree microarray datasets were included. Matrixes representing the uterosacral ligament were merged as a test matrix and the others representing vaginal tissues were merged as a validation matrix. The single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm was performed to evaluate immune cell infiltration. Correlations among differential immune cells were revealed by Spearman's rank correlation. Differentially expressed genes (DEGs) were screened by both "Batch correction" and "RobustRankAggreg" methods. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes were conducted for functional analysis. Hub genes were identified through cytoHubba of Cytoscape, and further validated by a validation matrix and clinical samples as signature genes. Correlations of differential immune cells with signature genes were analyzed by Spearman's rank correlation.

resultsFive differential immune cells (macrophages, monocytes, regulatory T cell [Treg], type 1 T cell [Th1], and natural killer T cells [NKT]) were identified and eight pairs of immune cells had significant correlations. Screened 230 DEGs were extracellular matrix (ECM) and immune related. Eleven hub genes were initially identified and five of them (LOX, IL-6, SDC1, ICAM1, and CD38) were validated as signature genes. Significant correlations of differential immune cells with signature genes were shown in twelve pairs, especially Th1-IL6, NKT-IL6, Th1-ICAM1, macrophage-IL6, and macrophage-LOX pairs.

conclusionsPelvic organ prolapse could be considered immune related. Significantly infiltrated immune cells may contribute to the development of POP through close involvement with ECM- and immune-related signature genes.

Indexed as

Interleukin-6Pelvic Organ ProlapseExtracellular MatrixFasciaFemaleHumansMacrophagesInterleukin-6BioinformaticsImmune cell infiltrationPelvic organ prolapseSignature genes

Identifiers

PMID36208338
OpenAlexW4303647710

What OpenQuestion holds

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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.