Evidence map›Paper›PMID 40988890›Full record

ArticleJournal of oral microbiology2025

Oral microbial signatures underlying recurrence via PI3K/AKT/mTOR pathway modulation in oral squamous cell carcinoma.

Da-Woon Kwack, Zeba Praveen, Yeon-Hee Kim, Chong Woo Yoo, Jae Hee Ko, Suk Min Youn, Joo Yong Park, Jong-Ho Lee, Sung Weon Choi, Mi Kyung Kim

Abstract read
In one paragraph

Article in Journal of oral microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Microorganisms · 2026
    Article
  2. 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

10 authors.

Da-Woon KwackOral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0009-0006-6241-7065
Zeba PraveenCancer Epidemiology Branch, Division of Cancer Epidemiology and Prevention, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0009-0001-4980-6684
Yeon-Hee KimCancer Epidemiology Branch, Division of Cancer Epidemiology and Prevention, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0003-4036-4661
Chong Woo YooDepartment of Pathology, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-5221-4516
Jae Hee KoOral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-5130-3066
Suk Min YounOral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-0910-3028
Joo Yong ParkOral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-0969-151X
Jong-Ho LeeOral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-8843-545X
Sung Weon ChoiOral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-2038-2881
Mi Kyung KimCancer Epidemiology Branch, Division of Cancer Epidemiology and Prevention, National Cancer Center, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0001-5279-4162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral squamous cell carcinoma (OSCC) often recurs locally, reducing survival. The oral microbiome may influence tumor recurrence, but its prognostic role is unclear. This study investigated oral microbiomes associated with OSCC recurrence and their prognostic merit. Materials and methods: Saliva samples were collected from 133 patients with OSCC. 16S rRNA gene sequencing was performed, and microbial signatures were predicted via XGBoost. Functional metagenomic prediction was conducted using PICRUSt2. Results: XGBoost identified Conclusions: Oral saliva microbiome profiling reveals distinct microbial patterns associated with OSCC recurrence. Our correlation-based functional predictions indicated that the enrichment of

Indexed as

machine learningoral microbiomeOral squamous cell carcinomaPI3K/AKT/mTOR pathwayprognosisrecurrence

Identifiers

PMID40988890
PMCPMC12451969

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Registered trials

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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.