Evidence map›Paper›PMID 39716471›Full record

ReviewInternational journal of cancer2025

Modeling cancer-microbiome interactions in vitro: A guide to co-culture platforms.

Kamil Moskal, Nimisha Khurana, Luisa Siegert, Ye Seul Lee, Hans Clevers, Eran Elinav, Jens Puschhof

Abstract readReview
In one paragraph

Review in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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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

7 authors.

Kamil MoskalJunior Research Group Epithelium Microbiome Interactions (EMIL), German Cancer Research Center, Heidelberg, Germany.
Nimisha KhuranaJunior Research Group Epithelium Microbiome Interactions (EMIL), German Cancer Research Center, Heidelberg, Germany.
Luisa SiegertJunior Research Group Epithelium Microbiome Interactions (EMIL), German Cancer Research Center, Heidelberg, Germany.
Ye Seul LeeJunior Research Group Epithelium Microbiome Interactions (EMIL), German Cancer Research Center, Heidelberg, Germany.
Hans CleversRoyal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, Hubrecht Institute, Utrecht, The Netherlands.
Eran ElinavMicrobiome and Cancer Division, German Cancer Research Center, Heidelberg, Germany.
Jens PuschhofJunior Research Group Epithelium Microbiome Interactions (EMIL), German Cancer Research Center, Heidelberg, Germany.ORCID 0000-0001-9275-4034

Funding

European Research Council 101164510H2020 European Research Council 101136622Hector Stiftung II
6 · The paper itself

Abstract

The biology of cancer is characterized by an intricate interplay of cells originating not only from the tumor mass, but also its surrounding environment. Different microbial species have been suggested to be enriched in tumors and the impacts of these on tumor phenotypes is subject to intensive investigation. For these efforts, model systems that accurately reflect human-microbe interactions are rapidly gaining importance. Here we present a guide for selecting a suitable in vitro co-culture platform used to model different cancer-microbiome interactions. Our discussion spans a variety of in vitro models, including 2D cultures, tumor spheroids, organoids, and organ-on-a-chip platforms, where we delineate their respective advantages, limitations, and applicability in cancer microbiome research. Particular focus is placed on methodologies that facilitate the exposure of cancer cells to microbes, such as organoid microinjections and co-culture on microfluidic devices. We highlight studies offering critical insights into possible cancer-microbe interactions and underscore the importance of in vitro models in those discoveries. We anticipate the integration of more complex microbial communities and the inclusion of immune cells into co-culture systems to more accurately simulate the tumor microenvironment. The advent of ever more sophisticated co-culture models will aid in unraveling the mechanisms of cancer-microbiome interplay and contribute to exploiting their potential in novel diagnostic and therapeutic strategies.

Indexed as

Coculture TechniquesNeoplasmsAnimalsHumansMicrobiotaTumor Microenvironmentcancerco‐culturemicrobiomeorganoidorgan‐on‐chip

Identifiers

PMID39716471
PMCPMC11970552

What OpenQuestion holds

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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.