Evidence map›Paper›PMID 41790545›Full record

ArticleSTAR protocols2026

Protocol for generating a 3D hydrogel-based tumor resection model in vitro using pancreatic cancer cells.

Lea Miebach, Marten Hagge, Linus Hübner, Sander Bekeschus

Abstract read
In one paragraph

Article in STAR protocols, 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

4 authors.

Lea MiebachZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Street 2, 17489 Greifswald, Germany; Department of Hematology and Oncology, Greifswald University Medical Center, Sauerbruchstr., 17475 Greifswald, Germany. Electronic address: leakatharina.miebach@med.uni-greifswald.de.
Marten HaggeZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Street 2, 17489 Greifswald, Germany; Department of General, Visceral, Thoracic, and Vascular Surgery, Greifswald University, Medical Center, Ferdinand-Sauerbruch-Street, 17475 Greifswald, Germany.
Linus HübnerZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Street 2, 17489 Greifswald, Germany.
Sander BekeschusZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Street 2, 17489 Greifswald, Germany; Department of Dermatology, Venerology, and Allergology, Rostock University Medical Center, Strempelstr. 13, 18057 Rostock, Germany. Electronic address: sander.bekeschus@med.uni-rostock.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a protocol for the generation of two distinct in vitro tumor resection models to evaluate cellular responses at tumor margins in 3D. We describe steps for patterning pancreatic cancer cells (Panc-01) embedded in hydrogels using a custom 96-pin metal lid to create standardized resection cavities. In a second model, we detail procedures for refining the protocol to imitate narrow surgical resection margins. This protocol supports diverse treatment modalities and enables reproducible, high-throughput analysis of post-resection responses. For complete details on the use and execution of this protocol, please refer to Miebach et al.

Indexed as

Cell Culture TechniquesCell Culture Techniques, Three DimensionalHydrogelsPancreatic NeoplasmsCell Line, TumorHumansHydrogelscancercell culturehealth sciencesmicroscopyorganoids

Identifiers

PMID41790545
PMCPMC12969724

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.