ReviewTranslational oncology2021
3D Bioprinted cancer models: Revolutionizing personalized cancer therapy.
Review in Translational oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled 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.
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
89 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine.Cellular oncology (Dordrecht, Netherlands) · 2025Pooled it
- Development of a 3D-bioprinted tumour-on-chip with tunable hydrogel properties for monitoring colorectal cancer cell migration and invasion.Materials today. Bio · 2026Article
- The Osteosarcoma Tumor Microenvironment: From Cellular Interactions to Advanced Preclinical Models.Cancers · 2026Review
- Radiomics analysis of 3D spheroids captures irradiation-induced structural and textural changes.Scientific reports · 2026Article
- Three-dimensional spheroid models in breast cancer: tumor microenvironment complexity, cancer stem cell-driven resistance, and translational model integration.Journal of translational medicine · 2026Review
- Advances in 3D culture systems for maintaining prostate tissue architecture and functional ex vivo prostate organ culture for biomedical applications.Molecular biology reports · 2026Review
- Review
- Advances in 3D Bioprinting: Materials, Processes, and Emerging Applications.Micromachines · 2026Review
- Innovations in skin microphysiological systems for nonclinical testing and FDA modernization.Microsystems & nanoengineering · 2026Review
- A mechanobiology-driven cell-derived ECM bioink for engineering 3D glioblastoma tumor microenvironment models.Theranostics · 2026Article
- New Knowledge About Tissue Engineering Under Microgravity Conditions in Space and on Earth.International journal of molecular sciences · 2025Review
- Three-dimensional bioprinting of patient-derived Gastrointestinal stromal tumor: a novel platform for precision oncology and drug response profiling.Journal of nanobiotechnology · 2025Article
- High-Throughput 3D Bioprinted Organoids of Skin Cancer Utilized for Diagnosis and Personalized Therapy.Current oncology (Toronto, Ont.) · 2025Review
- A 3D Bioprinted Pancreatic Cancer Model Using Collagen-Gelatin Methacrylamide-Alginate Bioinks to Mimic the Desmoplastic Microenvironment.Biomacromolecules · 2025Article
- Cold Atmospheric Plasma Selectively Disrupts Breast Cancer Growth in a Bioprinted 3D Tumor-Stroma Co-Culture Model.Advanced healthcare materials · 2025Article
- Review
- Review
- Developing Patient-Derived 3D-Bioprinting models of pancreatic cancer.Journal of advanced research · 2025Article
- Revolutionizing cancer care: Bioprinting prostate cancer stem cells for targeted treatments.World journal of clinical oncology · 2025Review
- Multifunctional Hydrogels for Advanced Cancer Treatment: Diagnostic Imaging and Therapeutic Modalities.Gels (Basel, Switzerland) · 2025Review
29 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After cardiovascular disease, cancer is the leading cause of death worldwide with devastating health and economic consequences, particularly in developing countries. Inter-patient variations in anti-cancer drug responses further limit the success of therapeutic interventions. Therefore, personalized medicines approach is key for this patient group involving molecular and genetic screening and appropriate stratification of patients to treatment regimen that they will respond to. However, the knowledge related to adequate risk stratification methods identifying patients who will respond to specific anti-cancer agents is still lacking in many cancer types. Recent advancements in three-dimensional (3D) bioprinting technology, have been extensively used to generate representative bioengineered tumor in vitro models, which recapitulate the human tumor tissues and microenvironment for high-throughput drug screening. Bioprinting process involves the precise deposition of multiple layers of different cell types in combination with biomaterials capable of generating 3D bioengineered tissues based on a computer-aided design. Bioprinted cancer models containing patient-derived cancer and stromal cells together with genetic material, extracellular matrix proteins and growth factors, represent a promising approach for personalized cancer therapy screening. Both natural and synthetic biopolymers have been utilized to support the proliferation of cells and biological material within the personalized tumor models/implants. These models can provide a physiologically pertinent cell-cell and cell-matrix interactions by mimicking the 3D heterogeneity of real tumors. Here, we reviewed the potential applications of 3D bioprinted tumor constructs as personalized in vitro models in anticancer drug screening and in the establishment of precision treatment regimens.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.