Evidence map›Paper›PMID 41641355›Full record

ArticleFrontiers in cellular and infection microbiology2025

A potential association between the characteristics of the multi-organ microbiota and lymph node metastasis in cervical cancer.

Lan Peng, Shuhui Yu, Yan Dong, Haifeng Gu, Zheng Li, Conghui Ai, Lan Zhang, Xingrao Wu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. 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. 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.

Lan Peng *Key Laboratory of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.
Shuhui Yu *Key Laboratory of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.
Yan Dong *Key Laboratory of Pathology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.
Haifeng GuDepartment of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zheng LiKey Laboratory of Gynecologic Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.
Conghui AiKey Laboratory of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.
Lan ZhangKey Laboratory of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.
Xingrao WuKey Laboratory of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microbiota alterations at multiple sites are associated with cervical cancer (CC). However, it is unclear whether CC lymph node metastasis (LNM) is indeed associated with microbiota alterations, whether the microbiota is generally suitable for screening CC LNM-related taxa. Materials and methods: We performed 16S rDNA sequencing of samples from oral swabs, feces, urine, and vaginal secretions from CC patients to clarify microbiota characteristics of LNM group. And we constructed a LNM prediction model for CC based on specific flora at each site. Results: The α-diversity of the urinary microbiota ( Conclusion: CC patients with LNM have significant microbiological changes at multiple sites. The predictive model based on oral bacteria can provide a noninvasive and simple method for assessing LNM in CC.

Indexed as

Lymphatic MetastasisMicrobiotaUterine Cervical NeoplasmsAdultBacteriaDNA, BacterialDNA, RibosomalFecesFemaleHumansLymph NodesMiddle AgedRNA, Ribosomal, 16SSequence Analysis, DNAUrineVaginaDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16Sbiomarkercervical cancerlymph node metastasismicrobiotapredictive models

Identifiers

PMID41641355
PMCPMC12864395

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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.