Evidence map›Paper›PMID 40437288›Full record

ReviewEMBO reports2025

Cancer microbiota: a focus on tumor-resident bacteria.

Gerlanda Vella, Maria Rescigno

Abstract readReview
In one paragraph

Review in EMBO reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. 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

2 authors.

Gerlanda VellaIRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy.
Maria RescignoIRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy. maria.rescigno@hunimed.eu.ORCID 0000-0002-6464-509X

Funding

European Molecular Biology Organization (EMBO) ALTF 687-2023Fondazione AIRC per la ricerca sul cancro ETS (AIRC) AIRC 5x1000 22757Fondazione AIRC per la ricerca sul cancro ETS (AIRC) IG 28930-2023
6 · The paper itself

Abstract

Accumulating evidence highlights the presence of an intratumoral microbiota across various cancer types. Among all the microorganisms comprising the tumor-associated microbiota, tumor-resident bacteria (TRB) are increasingly recognized as critical regulators of cancer biology. Within tumor tissues, these microorganisms interact with various components of the tumor microenvironment (TME) and influence both tumor-promoting and tumor-suppressing pathways, underlying their dual role in cancer. Fully understanding the functional roles of TRB and their complex interactions with components of the TME requires the application of multimodal technologies. Developing strategies to modulate TRB-either by eradicating pathogenic populations or harnessing beneficial ones-holds great promise for advancing cancer treatment. In this review, we summarize the most recent insights into TRB. We discuss their possible origins and their implications on cancer biology, focusing on their roles in cancer development, metastasis establishment, immune modulation, and therapy response. Finally, we describe bacteria-based strategies and address the major challenges in detecting and analyzing these microbial communities in tumors.

Indexed as

BacteriaMicrobiotaNeoplasmsAnimalsHumansTumor MicroenvironmentIntratumoral MicrobiotaMetastasisMicrobiotaTherapy EfficacyTumor Microenvironment

Identifiers

PMID40437288
PMCPMC12187936

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.