ReviewHemaSphere2023
Emerging Strategies in 3D Culture Models for Hematological Cancers.
Review in HemaSphere, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- 3D ex vivo platform for high-throughput immunotherapy screening in relapsed/refractory lymphoma patients.HemaSphere · 2026Article
- Next-generation models for lymphoid malignancies: the rise of 3D culture systems in translational hematology.British journal of cancer · 2026Review
- A 3D lymph node model for chronic lymphocytic leukaemia recapitulates microenvironmental features and drug response in vitro.Disease models & mechanisms · 2026Article
- Understanding hairy cell leukemia in the context of mature B-cell neoplasms: tumor microenvironment and extracellular vesicle contribution to disease pathogenesis.Frontiers in immunology · 2026Review
- Article
- 3D bioprinted melanoma models: a novel paradigm for the assessment of anticancer strategies combining PDT and drug delivery systems.Biomedical engineering online · 2025Review
- Acquired resistance in cancer: towards targeted therapeutic strategies.Nature reviews. Cancer · 2025Review
- Dynamic stimulation promotes functional tissue-like organization of a 3D human lymphoid microenvironment model in vitro.Cell reports methods · 2025Article
- Article
- Review
- Three-dimensional models: from cell culture to Patient-Derived Organoid and its application to future liposarcoma research.Oncology research · 2025Review
- TGF-β Decreases NK Cell Mobility and Cytotoxic Efficacy in Complex in vitro Models of the Leukemia Microenvironment.ImmunoTargets and therapy · 2025Article
- Improving tumor microenvironment assessment in chip systems through next-generation technology integration.Frontiers in bioengineering and biotechnology · 2024Review
- Exploring oncology treatment strategies with tyrosine kinase inhibitors through advanced 3D models (Review).Medicine internationalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vitro cell cultures are fundamental and necessary tools in cancer research and personalized drug discovery. Currently, most cells are cultured using two-dimensional (2D) methods, and drug testing is mainly performed in animal models. However, new and improved methods that implement three-dimensional (3D) cell-culturing techniques provide compelling evidence that more advanced experiments can be performed, yielding valuable new insights. In 3D cell-culture experiments, the cell environment can be manipulated to mimic the complexity and dynamicity of the human tissue microenvironment, possibly leading to more accurate representations of cell-to-cell interactions, tumor biology, and predictions of drug response. The 3D cell cultures can also potentially provide alternative ways to study hematological cancers and are expected to eventually bridge the gap between 2D cell culture and animal models. The present review provides an overview of the complexity of the lymphoid microenvironment and a summary of the currently used 3D models that aim at recreating it for hematological cancer research. We here dissect the differences and challenges between, and potential advantages of, different culture methods and present our vision of the most promising future strategies in the hematological field.
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.