Evidence map›Paper›PMID 41816687›Full record

ArticleFrontiers in microbiology2026

Bacterial colonized melanoma skin models allow to study host-microbe interactions

Aline Rosin, Jannike Lea Krause, Heike Sprenger, Maya Sophie Kissner, Klaus Neuhaus, Tewes Tralau, Tessa Höper, Lisa Lemoine

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Aline RosinDepartment of Pesticides Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Jannike Lea KrauseDepartment of Pesticides Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Heike SprengerDepartment of Food Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Maya Sophie KissnerDepartment of Pesticides Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Klaus NeuhausCore Facility Microbiome, ZIEL-Institute for Food & Health, Technical University Munich, Freising, Germany.
Tewes TralauGerman Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Tessa HöperDepartment of Pesticides Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Lisa LemoineDepartment of Pesticides Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Melanoma represents the most lethal form of skin cancer, with the skin microbiome increasingly recognized as a potential risk factor. Previous studies demonstrated an altered microbiome composition at melanoma sites. However, the role of the microbiome remains elusive and technically challenging to investigate. Our proof-of-concept study aims to explore whether the contribution of skin bacteria to melanoma progression can be examined Methods: We utilized a commercial 3D melanoma model cultivated in an air-liquid interface configuration and apically inoculated it with a diverse bacterial community derived from healthy human skin. Results: During the 12-day co-cultivation period, bacterial counts were comparable to those found on human skin Discussion: This study is the first to demonstrate the feasibility of using 3D melanoma models to investigate the impact of skin bacteria on melanoma biology, thereby paving the way for elucidating causal mechanisms

Indexed as

3D skin modelsco-cultivationhost–microbe interactionmelanomaskin microbes

Identifiers

PMID41816687
PMCPMC12973510

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.