ReviewCancers2023
Preclinical Testing Techniques: Paving the Way for New Oncology Screening Approaches.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed, 21 citations in OpenAlex.
- Recapitulating In Vivo Pharmacokinetics and Size-Dependent Nanomedicine Delivery in a Microfluidic Platform.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Diagnosis of Prostate Cancer: A Comparative Evaluation of Biological Techniques.Diseases (Basel, Switzerland) · 2026Review
- Microengineered bone models: advances and applications of bone-on-a-chip technology.Journal of biological engineering · 2026Review
- Targeting colorectal cancer with pyrazolo[4,3-e][1,2,4]triazine and pyrazolo[4,3-e]tetrazolo[1,5-b][1,2,4]triazine sulfonamides: comprehensive in vitro evaluation.Scientific reports · 2026Article
- Article
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- Acoustic Bioprinting: A Glimpse Into an Emerging Field.Small methods · 2026Review
- Global scientific trends in organoids from 2000 to 2024: a data-driven bibliometric and visualized analysis.International journal of surgery (London, England) · 2026Article
- In Vivo Prostate Cancer Modelling: From the Pre-Clinical to the Clinical Setting.Life (Basel, Switzerland) · 2026Review
- PDMD: A Comprehensive Repository of Plants Reported for Skeletal Muscle-related Ailments.Current drug targets · 2026Article
- Renal cell carcinoma organoids for precision medicine: bridging the gap between models and patients.Journal of translational medicine · 2025Review
- Molecular docking and biological evaluation of a novel IWS1 inhibitor for the treatment of human retroperitoneal liposarcoma.Scientific reports · 2025Article
- Fluidic Programmable Gravi-maze Array for High Throughput Multiorgan Drug Testing.bioRxiv : the preprint server for biology · 2025Article
- Ultrasound-Mediated Drug Diffusion, Uptake, and Cytotoxicity in a Glioblastoma 3D Tumour Sphere Model.Cells · 2025Article
- Review
- Generation and maintenance of kidney and kidney cancer organoids from patient-derived material for drug development and precision oncology.Molecular therapy. Methods & clinical development · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prior to clinical trials, preclinical testing of oncology drug candidates is performed by evaluating drug candidates with in vitro and in vivo platforms. For in vivo testing, animal models are used to evaluate the toxicity and efficacy of drug candidates. However, animal models often display poor translational results as many drugs that pass preclinical testing fail when tested with humans, with oncology drugs exhibiting especially poor acceptance rates. The FDA Modernization Act 2.0 promotes alternative preclinical testing techniques, presenting the opportunity to use higher complexity in vitro models as an alternative to in vivo testing, including three-dimensional (3D) cell culture models. Three-dimensional tissue cultures address many of the shortcomings of 2D cultures by more closely replicating the tumour microenvironment through a combination of physiologically relevant drug diffusion, paracrine signalling, cellular phenotype, and vascularization that can better mimic native human tissue. This review will discuss the common forms of 3D cell culture, including cell spheroids, organoids, organs-on-a-chip, and 3D bioprinted tissues. Their advantages and limitations will be presented, aiming to discuss the use of these 3D models to accurately represent human tissue and as an alternative to animal testing. The use of 3D culture platforms for preclinical drug development is expected to accelerate as these platforms continue to improve in complexity, reliability, and translational predictivity.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.