Evidence map›Paper›PMID 35928983›Full record

ArticleCancer research communications2022

The vaginal microbiome is associated with endometrial cancer grade and histology.

Hesamedin Hakimjavadi, Sophia H George, Michael Taub, Leah V Dodds, Alex P Sanchez-Covarrubias, Marilyn Huang, J Matt Pearson, Brian M Slomovitz, Erin N Kobetz, Raad Gharaibeh and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
5.8field-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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  11. MedComm · 2025
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  12. Article
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  15. Therapeutic potential of microbiome modulation in reproductive cancers.Medical oncology (Northwood, London, England) · 2025
    Review
  16. Review
  17. Reproductive tract microbiome dysbiosis associated with gynecological diseases.Frontiers in cellular and infection microbiology · 2025
    Review
  18. 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

14 authors at 5 institutions in 1 country.

Hesamedin HakimjavadiDepartment of Pathology, Children's Hospital of Los Angeles, Los Angeles, CA, USA.
Sophia H GeorgeSylvester Comprehensive Cancer Center, Miami, FL, USA.
Michael TaubSylvester Comprehensive Cancer Center, Miami, FL, USA.
Leah V DoddsSylvester Comprehensive Cancer Center, Miami, FL, USA.
Alex P Sanchez-CovarrubiasSylvester Comprehensive Cancer Center, Miami, FL, USA.
Marilyn HuangSylvester Comprehensive Cancer Center, Miami, FL, USA.
J Matt PearsonSylvester Comprehensive Cancer Center, Miami, FL, USA.
Brian M SlomovitzDepartment of Obstetrics and Gynecology, Mount Sinai Medical Center, Miami, FL, USA.
Erin N KobetzSylvester Comprehensive Cancer Center, Miami, FL, USA.
Raad GharaibehDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Ramlogan SowamberSylvester Comprehensive Cancer Center, Miami, FL, USA.
Andre PintoSylvester Comprehensive Cancer Center, Miami, FL, USA.
Srikar ChamalaDepartment of Pathology, Children's Hospital of Los Angeles, Los Angeles, CA, USA.
Matthew P SchlumbrechtSylvester Comprehensive Cancer Center, Miami, FL, USA.
University of Miami · USChildren's Hospital of Los Angeles · USSylvester Comprehensive Cancer Center · USMount Sinai Medical Center · USUniversity of Florida · US

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel Bilbao · 2019 to 2026
$24.1M
NCI NIH HHS P30 CA240139
6 · The paper itself

Abstract

The human microbiome has been strongly correlated with disease pathology and outcomes, yet remains relatively underexplored in patients with malignant endometrial disease. In this study, vaginal microbiome samples were prospectively collected at the time of hysterectomy from 61 racially and ethnically diverse patients from three disease conditions: 1) benign gynecologic disease (controls, n=11), 2) low-grade endometrial carcinoma (n=30), and 3) high-grade endometrial carcinoma (n=20). Extracted DNA underwent shotgun metagenomics sequencing, and microbial α and β diversities were calculated. Hierarchical clustering was used to describe community state types (CST), which were then compared by microbial diversity and grade. Differential abundance was calculated, and machine learning utilized to assess the predictive value of bacterial abundance to distinguish grade and histology. Both α- and β-diversity were associated with patient tumor grade. Four vaginal CST were identified that associated with grade of disease. Different histologies also demonstrated variation in CST within tumor grades. Using supervised clustering algorithms, critical microbiome markers at the species level were used to build models that predicted benign vs carcinoma, high-grade carcinoma versus benign, and high-grade versus low-grade carcinoma with high accuracy. These results confirm that the vaginal microbiome segregates not just benign disease from endometrial cancer, but is predictive of histology and grade. Further characterization of these findings in large, prospective studies is needed to elucidate their potential clinical applications.

Indexed as

CarcinomaEndometrial NeoplasmsMicrobiotaFemaleHumansHysterectomyVaginaEndometrial cancerhigh-gradelow-grademetagenomicsmicrobiome

Identifiers

PMID35928983
PMCPMC9345414
OpenAlexW4281480293

What OpenQuestion holds

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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.