Evidence map›Paper›PMID 41039266›Full record

ArticleBMC microbiology2025

Oral and fecal microbiome alterations in pancreatic cancer: insights into potential diagnostic biomarkers.

Sogol Tavanaeian, Mohammad Mehdi Feizabadi, Sarvenaz Falsafi, Hamid Asadzadeh Aghdaei, Hamidreza Houri

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Kernel Fatty Oils ofNutrients · 2026
    Article
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  11. Machine learning and microbiome analysis for early detection of pancreatic cancer.Gastroenterology and hepatology from bed to bench · 2025
    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

5 authors.

Sogol TavanaeianDepartment of Microbiology, TeMS.C, Islamic Azad University, Tehran, Iran.
Mohammad Mehdi FeizabadiDepartment of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. mfeizabadi@tums.ac.ir.
Sarvenaz FalsafiDepartment of Microbiology, TeMS.C, Islamic Azad University, Tehran, Iran.
Hamid Asadzadeh AghdaeiBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamidreza HouriFoodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human microbiome plays a pivotal role in pancreatic cancer (PC). This study investigates the abundance of specific gut and oral microbes in PC patients compared to healthy controls.

methodsA cohort of 20 diagnosed PC patients and an equivalent control group were recruited. Comprehensive lifestyle data, such as overall food consumption, were collected. Saliva and stool samples were prepared. Microbial DNA was extracted from stool and saliva samples using specialized kits. Primers were designed targeting the conserved regions of the 16 S rRNA genes from Neisseria elongata, Granulicatella adiacens, Fusobacterium nucleatum, Roseburia intestinalis, and Bifidobacterium bifidum. The quantities of selected bacterial species were evaluated using real-time quantitative PCR.

resultsGranulicatella adiacens and Fusobacterium nucleatum were significantly increased in the PC group (medians: 7.35 and 4.37 log10 CFU/g, respectively) compared to controls (medians: 2.43 and 1.20 log10 CFU/g ; P < 0.001 for both). Conversely, Neisseria elongata, Roseburia intestinalis, and Bifidobacterium bifidum levels were significantly lower in PC patients (medians: 2.37, 2.34, and 3.45 log10 CFU/g, respectively) compared to controls (medians: 5.63, 5.07, and 4.34 log10 CFU/g; P < 0.001). The principal component analysis confirmed distinct clustering of microbiota profiles between the two groups, with key microorganisms associated with PC. The discriminatory performance of clinical and microbiota variables demonstrated notable accuracy in classifying PC, particularly metrics such as hemoglobin and hematocrit, achieving an area under the curve (AUC) of 1.00.

conclusionsIn summary, these findings highlight the significant association between microbiome composition and PC, underscoring the potential of microbiota profiles as non-invasive diagnostic biomarkers that warrant further investigation for early detection and therapeutic targeting in clinical practice.

Indexed as

BacteriaFecesMicrobiotaMouthPancreatic NeoplasmsAgedDNA, BacterialFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SSalivaDNA, BacterialRNA, Ribosomal, 16SFecal microbiomeFusobacterium nucleatumNeisseria elongataOral microbiomePancreatic cancer

Identifiers

PMID41039266
PMCPMC12492960

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.