Evidence map›Paper›PMID 40823086›Full record

ReviewFrontiers in oncology2025

Applications of 3D models in cholangiocarcinoma.

Agata Montagner, Laura Lemberger-Viehmann, Nadine Reitberger, Milena Schmidt, Julia Scheruebl, Eric Pion, Benedikt J Wagner, Christian Pilarsky, Robert Grützmann, Thiha Aung and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Agata Montagner *Institute for Molecular and Cellular Anatomy, University of Regensburg, Regensburg, Germany.
Laura Lemberger-Viehmann *Faculty of Applied Healthcare Science, Deggendorf Institute of Technology, Deggendorf, Germany.
Nadine ReitbergerFaculty of Applied Healthcare Science, Deggendorf Institute of Technology, Deggendorf, Germany.
Milena SchmidtInstitute for Molecular and Cellular Anatomy, University of Regensburg, Regensburg, Germany.
Julia ScherueblFaculty of Applied Healthcare Science, Deggendorf Institute of Technology, Deggendorf, Germany.
Eric PionInstitute for Molecular and Cellular Anatomy, University of Regensburg, Regensburg, Germany.
Benedikt J WagnerDepartment of Surgery, University Hospital Regensburg, Regensburg, Germany.
Christian PilarskyDivision of Surgical Research, University Hospital Erlangen, Erlangen, Germany.
Robert GrützmannDepartment of Surgery, University Hospital Erlangen, Erlangen, Germany.
Thiha AungInstitute for Molecular and Cellular Anatomy, University of Regensburg, Regensburg, Germany.
Christina HacklDepartment of Surgery, University Hospital Regensburg, Regensburg, Germany.
Silke HaerteisInstitute for Molecular and Cellular Anatomy, University of Regensburg, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis for patients diagnosed with cholangiocarcinoma (CCA) is dismal, with an overall 5-year-mortality rate of 80%. Therapeutic approaches for this cancer are very limited and the only curative treatment is total surgical resection despite recent advancements in CCA research. However, only a minority of patients are eligible for surgery due to late-stage diagnosis. Therefore, there is an urgent need to gain a deeper understanding of CCA and to discover new treatments, which can be achieved by utilization and optimization of 3D tumor models. Traditional 2D cell culture is still undeniably important in cancer research, especially for the discovery of biomarkers and drug screening. However, classical 2D tumor models do not represent the tumor biology in its full complexity as they lack the vital interactions between cancer cells, angiogenesis, and tumor microenvironment. In recent years, 3D models, including spheroids, 3D co-culture systems, organoids, tumors-on-a-chip, and the

Indexed as

3D (three-dimensional) modelsCAM modelcancercholangiocarcinomain vitro cancer modelsorganoidspersonalized medicinetumor spheres

Identifiers

PMID40823086
PMCPMC12350147

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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.