Evidence map›Paper›PMID 37058886›Full record

Observational studyNeoplasia (New York, N.Y.)2023

From adenoma to CRC stages: the oral-gut microbiome axis as a source of potential microbial and metabolic biomarkers of malignancy.

Edda Russo, Leandro Di Gloria, Giulia Nannini, Gaia Meoni, Elena Niccolai, Maria Novella Ringressi, Simone Baldi, Renato Fani, Leonardo Tenori, Antonio Taddei and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Neoplasia (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Analysis of Microbiome for AP and CRC Discrimination.Bioengineering (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Association ofGut microbiome (Cambridge, England) · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Prevotellaceae Modulates Colorectal Cancer Immune Microenvironment to Assist Anti-PD-L1 Immunotherapy.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Article
  19. Review
  20. Gut microbiota mediates ambient PMJournal of hazardous materials · 2024
    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

12 authors at 3 institutions in 1 country.

Edda RussoDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Leandro Di GloriaDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio" University of Florence, Florence, Italy.
Giulia NanniniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Gaia MeoniMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff," University of Florence, Sesto Fiorentino, Italy; Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy.
Elena NiccolaiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Maria Novella RingressiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Simone BaldiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Renato FaniDepartment of Biology, University of Florence, Via Madonna del Piano 6, Sesto Fiorentino, 50019 Florence, Italy.
Leonardo TenoriMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff," University of Florence, Sesto Fiorentino, Italy; Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy.
Antonio TaddeiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Matteo RamazzottiDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio" University of Florence, Florence, Italy. Electronic address: matteo.ramazzotti@unifi.it.
Amedeo AmedeiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Interdisciplinary Internal Medicine Unit, Careggi University Hospital, 50134 Florence, Italy.. Electronic address: amedeo.amedei@unifi.it.
University of Florence · ITInteruniversity Consortium for Magnetic Resonance · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 95% of Colorectal cancers (CRC) consist of adenocarcinomas originating from colonic Adenomatous polyps (AP). Increasing importance in CRC occurrence and progression has been attributed to the gut microbiota; however, a huge proportion of microorganisms inhabit the human digestive system. So, to comprehensively study the microbial spatial variations and their role in CRC progression, from AP to the different CRC phases, a holistic vision is imperative, including the simultaneous evaluation of multiple niches from the gastrointestinal system. Through an integrated approach, we identified potential microbial and metabolic biomarkers, able to discriminate human CRC from AP and/or also the different Tumor node metastasis (TNM) staging. In addition, as the microbiota contributes to the production of essential metabolic products detectable in fecal samples, we analysed and compared metabolites obtained from CRC and AP patients by using a Nuclear magnetic resonance (NMR) approach.

methodsIn this observational study, saliva, tissue and stool samples from 61 patients, have been collected, including 46 CRC and 15 AP patients, age and sex-matched, undergoing surgery in 2018 at the Careggi University Hospital (Florence, Italy). First, the microbiota in the three-district between CRC and AP patients has been characterized, as well as in different CRC TNM stages. Subsequently, proton NMR spectroscopy has been used in combination with multivariate and univariate statistical approaches, to define the fecal metabolic profile of a restricted group of CRC and AP patients.

resultsCRC patients display a different profile of tissue and fecal microbiota with respect to AP patients. Significant differences have been observed in CRC tissue microbial clades, with a rise of the Fusobacterium genus. In addition, significant taxa increase at the genus level has been observed in stool samples of CRC patients. Furthermore, Fusobacterium found in intestinal tissue has been positively correlated with fecal Parvimonas, for the first time. Moreover, as predicted by metagenomics pathway analysis, a significant increase of lactate (p=0.037) has been observed in the CRC fecal metabolic profiles, and positively correlated with Bifidobacterium (p=0.036). Finally, minor bacterial differences in CRC patients at stage T2 (TNM classification) have been detected, with a raise of the Spirochaetota phylum in CRC samples, with a slight increase of the Alphaproteobacteria class in fecal samples.

conclusionOur results suggest the importance of microbiota communities and oncometabolites in CRC development. Further studies on CRC/AP management with a focus on CRC assessment are needed to investigate novel microbial-related diagnostic tools aimed to improve therapeutic interventions.

Indexed as

AdenomaColorectal NeoplasmsGastrointestinal MicrobiomeMicrobiotaRectal NeoplasmsBacteriaBiomarkersHumansBiomarkersbiomarkerscancer stagingcolonic adenomatous polypscolorectal cancermetabolomicsmicrobiotaMicrobiota

Identifiers

PMID37058886
PMCPMC10130693
OpenAlexW4365143185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.