ReviewCancers2021
A 3D View of Colorectal Cancer Models in Predicting Therapeutic Responses and Resistance.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed.
- Predicting therapeutic responses in metastatic colorectal cancer through personalized functional profiling of patient-derived spheroids.NPJ precision oncology · 2026Article
- Fibrillarin Contributes to the Oncogenic Characteristics of Colorectal Cancer Cells and Reduces Sensitivity to 5-Fluorouracil.Cancers · 2025Article
- A Novel Scaffold-Free Engineered Cartilage Using Combined Chondrocyte Pellets and Sheets in Chondrogenic Differentiation Medium.Tissue engineering and regenerative medicine · 2025Article
- Impact of treatment history on drug resistance of metastatic colorectal cancer organoids.iScience · 2025Article
- Article
- Colorectal Cancer at the Crossroads: The Good, the Bad, and the Future of Platinum-Based Drugs.Chemical reviews · 2025Review
- 3D Bioprinting and Artificial Intelligence for Tumor Microenvironment Modeling: A Scoping Review of Models, Methods, and Integration Pathways.Molecular pharmaceutics · 2025Article
- Enhancing the Biological Functionality of Hydrogels Using Self-Assembling Peptides.Biomimetics (Basel, Switzerland) · 2025Review
- Review
- The Role of Organoids in Advancing Colorectal Cancer Research: Insights and Future Directions.Cancers · 2025Review
- Ultrasound-Mediated Drug Diffusion, Uptake, and Cytotoxicity in a Glioblastoma 3D Tumour Sphere Model.Cells · 2025Article
- Three-dimensional in vitro models in head and neck cancer: current trends and applications.Medical oncology (Northwood, London, England) · 2025Review
- Review
- Random forests algorithm using basic medical data for predicting the presence of colonic polyps.Frontiers in surgery · 2025Article
- Three-dimensional models: from cell culture to Patient-Derived Organoid and its application to future liposarcoma research.Oncology research · 2025Review
- Development and Characterization of 3-Dimensional Cell Culture Models of Adrenocortical Carcinoma.Endocrinology · 2024Article
- Establishment and drug resistance characterization of paired organoids using human primary colorectal cancer and matched tumor deposit specimens.Human cell · 2024Article
- Biomedical applications of stimuli-responsive "smart" interpenetrating polymer network hydrogels.Materials today. Bio · 2024Review
- High-content screening of drug combinations of an mPGES-1 inhibitor in multicellular tumor spheroids leads to mechanistic insights into neuroblastoma chemoresistance.Molecular oncology · 2024Article
- Delivery and Transcriptome Assessment of an In Vitro Three-Dimensional Proximal Tubule Model Established by Human Kidney 2 Cells in Clinical Gelatin Sponges.International journal of molecular sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Although there have been many advances in recent years for the treatment of colorectal cancer (CRC), it still remains the third most common cause of cancer-related deaths worldwide. Many patients with late stage CRC display resistance to multiple different therapeutics. An important aspect in developing effective therapeutics for CRC patients is understanding the interactions that take place in the tumor microenvironment (TME), as it has been shown to contribute to drug resistance in vivo. Much research over the past 100 years has focused on 2D monolayer cultures or in vivo studies, however, the efficacy in translating these to the clinic is very low. More recent studies are turning towards developing an effective 3D model of CRC that is clinically relevant, that can recapitulate the TME in vitro and bridge the gap between 2D cultures and in vivo studies, with the aim of reducing the use of animal models in the future. This review summarises the advantages and limitations of different 3D CRC models. It emphasizes how different 3D models may be optimised to study cellular and extracellular interactions that take place in the TME of CRC in an effort to allow the development of more translatable effective treatment options for patients.
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.