Evidence map›Paper›PMID 42765916›Full record

ArticleMicrobiologyOpen2026

Exploring Cervical Cancer-Associated Vaginal and Cervical Microbiota via 16S rRNA Sequencing.

Guojiao Wang, Xiaotong Liu, Zimo Wang, Huadong Tian, Yan Li, Yuexi Luo

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Guojiao WangThe Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.ORCID https://orcid.org/0009-0009-8708-1360
Xiaotong LiuThe Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.ORCID https://orcid.org/0009-0008-7337-3648
Zimo WangThe Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.ORCID https://orcid.org/0009-0009-9466-7386
Huadong TianThe Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.ORCID https://orcid.org/0009-0009-6483-2125
Yan LiThe Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.ORCID https://orcid.org/0009-0009-9588-6089
Yuexi LuoThe Second Clinical Medical College of North Sichuan Medical College, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital of Obstetrics and Gynecology, Nanchong Sichuan, China.ORCID https://orcid.org/0009-0008-4692-4256

Funding

Wu Jieping Medical Foundation Special Funding for Clinical Research 320.6750.2021-25-5
6 · The paper itself

Abstract

Although the etiology of cervical cancer has been partially established, its pathogenesis remains a key research focus. Specific studies on the genital tract microbiota of cervical cancer patients in Southern China are still scarce. To address this research gap, the present study collected genital tract microbial samples from 16 cervical cancer patients and 16 healthy women. Analysis of cervical cancer-specific microbiota was conducted via 16S rRNA gene sequencing. The study included 32 women (16 cervical cancer patients and 16 healthy controls) aged 45-65 at enrollment. Total genome DNA from samples was extracted using the hexadecyltrimethylammonium bromide (CTAB) CTAB method. The vaginal and cervical microbiota composition was determined by sequencing barcoded 16S rDNA gene fragments (V3-V4), and a comparative bioinformatics analysis of the microbiome was performed. The study revealed a homogeneous microbial composition dominated by Lactobacillus in healthy women, whereas cervical cancer patients exhibited increased diversity with reduced Lactobacillus and enriched Prevotella. No significant differences were observed between sampling sites within each group. Functional predictions linked the cancer-associated microbiota to metabolic pathways and the AEROBACTIN-SYN-PWY pathway. In conclusion, our findings suggest that these specific key microbial taxa and their related metabolic pathways contribute to the pathogenesis of cervical cancer and may serve as promising targets for clinical treatment and intervention.

Indexed as

BacteriaCervix UteriMicrobiotaRNA, Ribosomal, 16SUterine Cervical NeoplasmsVaginaAgedChinaComputational BiologyDNA, BacterialDNA, RibosomalFemaleHumansLactobacillusMiddle AgedPhylogenyDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA gene sequencingcervical cancer patientsmetabolismprevotella

Identifiers

PMID42765916
PMCPMC13592373

What OpenQuestion holds

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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.