Evidence map›Paper›PMID 41136619›Full record

ArticleCancer immunology, immunotherapy : CII2025

Bacteria-derived DNA in serum extracellular vesicles as a biomarker for gastric cancer.

Kaoru Fujikawa, Takuro Saito, Atsunari Kawashima, Kentaro Jingushi, Daisuke Motooka, Shigeto Nakai, Takaomi Hagi, Kota Momose, Kotaro Yamashita, Koji Tanaka and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

17 authors.

Kaoru FujikawaDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Takuro SaitoDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan. tsaito@gesurg.med.osaka-u.ac.jp.
Atsunari KawashimaDepartment of Clinical Research in Tumor Immunology, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Kentaro JingushiLaboratory of Stem Cell Regeneration and Adaptation, Graduate School of Pharmaceutical Sciences, The University of Osaka, Osaka, Japan.
Daisuke MotookaCompound Library Screening Center, Graduate School of Pharmaceutical Sciences, Department of Infection Metagenomics, The University of Osaka, Osaka, Japan.
Shigeto NakaiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Takaomi HagiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Kota MomoseDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Kotaro YamashitaDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Koji TanakaDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Tomoki MakinoDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Tsuyoshi TakahashiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Yukinori KurokawaDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Kazutake TsujikawaCenter for Supporting Drug Discovery and Life Science Research, The University of Osaka, Osaka, Japan.
Hisashi WadaDepartment of Clinical Research in Tumor Immunology, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Yuichiro DokiDepartment of Gastroenterological Surgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial flora is present in various parts of the human body, and bacterial 16S rRNA genes have been detected in the bloodstream. Distinct blood microbiomes have been identified in various diseases, including cancer, and are thought to play a role in disease pathogenesis. In this study, we conducted a 16S rRNA metagenomic analysis of serum extracellular vesicles from 89 patients with gastric cancer (GC) and 25 healthy donors. We identified lower levels of Bacteroidetes and Actinobacteria and higher levels of Firmicutes in patients with GC than in healthy donors. By integrating this characteristic bacterial DNA profile, we developed a BAF index, defined as the ratio of Bacteroidetes and Actinobacteria to Firmicutes, which exhibited high sensitivity for detecting GC in both the discovery and validation cohorts, suggesting its potential utility as a screening tool. A high BAF index was significantly associated with an advanced tumor stage and poor prognosis. Moreover, a high BAF index was linked to an immunosuppressive tumor microenvironment, which may contribute to the unfavorable outcomes observed in these patients. These findings indicate that circulating bacterial signatures may serve as promising biomarkers for GC.

Indexed as

Biomarkers, TumorDNA, BacterialExtracellular VesiclesStomach NeoplasmsAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPrognosisRNA, Ribosomal, 16STumor MicroenvironmentBiomarkers, TumorDNA, BacterialRNA, Ribosomal, 16S16S rRNA geneBacterial DNAExtracellular vesiclesGastric cancerT cell exhaustionTumor-infiltrating lymphocyte

Identifiers

PMID41136619
PMCPMC12552193

What OpenQuestion holds

Textmetadata
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.