Observational studyScientific reports2021
A pilot study of 3D tissue-engineered bone marrow culture as a tool to predict patient response to therapy in multiple myeloma.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 14 citations in OpenAlex.
- 3D biomimetic microgel platform for multiple myeloma: Approaching tumor microenvironment on cell lines and patient-derived cells.Materials today. Bio · 2026Article
- Review
- BioMarrow: An accessible and reproducible 3D patient-derived bone marrow model for advancing research and clinical applications.Translational oncology · 2026Article
- Ex Vivo Treatment Response Prediction in Multiple Myeloma: Assay Formats, Clinical Correlation, and Future Directions.Cancers · 2026Review
- Human preclinical multiple myeloma in vitro models for disease modeling and therapy screening.Journal of biological engineering · 2025Review
- PI3K Signaling Pathway Inhibitor Affects Myeloma Cells in a Culture-Dependent Manner.Advanced pharmaceutical bulletin · 2025Article
- IL-10R inhibition reprograms tumor-associated macrophages and reverses drug resistance in multiple myeloma.Leukemia · 2024Article
- Establishment of A Three-Dimensional Culture Condition for The U266 Cell Line Based on Peripheral Blood Plasma-Derived Fibrin Gels.Cell journal · 2023Article
- Patient-Derived Multiple Myeloma 3D Models for Personalized Medicine-Are We There Yet?International journal of molecular sciences · 2022Review
- Functionalized 3D scaffolds for engineering the hematopoietic niche.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Cancer patients undergo detrimental toxicities and ineffective treatments especially in the relapsed setting, due to failed treatment attempts. The development of a tool that predicts the clinical response of individual patients to therapy is greatly desired. We have developed a novel patient-derived 3D tissue engineered bone marrow (3DTEBM) technology that closely recapitulate the pathophysiological conditions in the bone marrow and allows ex vivo proliferation of tumor cells of hematologic malignancies. In this study, we used the 3DTEBM to predict the clinical response of individual multiple myeloma (MM) patients to different therapeutic regimens. We found that while no correlation was observed between in vitro efficacy in classic 2D culture systems of drugs used for MM with their clinical efficacious concentration, the efficacious concentration in the 3DTEBM were directly correlated. Furthermore, the 3DTEBM model retrospectively predicted the clinical response to different treatment regimens in 89% of the MM patient cohort. These results demonstrated that the 3DTEBM is a feasible platform which can predict MM clinical responses with high accuracy and within a clinically actionable time frame. Utilization of this technology to predict drug efficacy and the likelihood of treatment failure could significantly improve patient care and treatment in many ways, particularly in the relapsed and refractory setting. Future studies are needed to validate the 3DTEBM model as a tool for predicting clinical efficacy.
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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.