ReviewBiomarker research2026
3D bioprinting for cancer modeling and drug screening.
Review in Biomarker research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Constructing anTranslational cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
3D bioprinting has emerged as a promising preclinical technology to explore tumor cell biology, interaction with the microenvironment, and drug sensitivity. Current methods allow inclusion of several cell types within the bioprinted objects and may also be compatible with migration of immune cells within the object. 3D bioprinted tumor models have been shown to be more relevant for preclinical studies than classical 2D systems for a number of key parameters including cell morphology, cell-cell interactions, interaction with non-tumor cells, drug diffusion and sensitivity. As compared to other 3D models, bioprinting is applicable to a large variety of tumor cell lines at a relatively low cost and may be performed over a flexible period of time, ranging from a few days to several weeks. Bioprinting has also increasingly been applied to primary samples from cancer patients. In this review, we present the promises and technical hurdles yet to overcome in order for 3D bioprinting models to be fully exploited in preclinical modeling of cancer.
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Registered trials
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.