ArticleCancers2021
3D Model Characterization by 2D and 3D Imaging in t(14;18)-Positive B-NHL: Perspectives for In Vitro Drug Screens in Follicular Lymphoma.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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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.
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Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Next-generation models for lymphoid malignancies: the rise of 3D culture systems in translational hematology.British journal of cancer · 2026Review
- Goodbye flat lymphoma biology.FEBS letters · 2025Review
- Generation of Individualized, Standardized, and Electrically Synchronized Human Midbrain Organoids.Cells · 2025Article
- Patient-derived follicular lymphoma spheroids recapitulate lymph node signaling and immune profile uncovering galectin-9 as a novel immunotherapeutic target.Blood cancer journal · 2024Article
- Comparing the value of mono- vs coculture for high-throughput compound screening in hematological malignancies.Blood advances · 2023Article
- Patient-derived lymphoma spheroids integrating immune tumor microenvironment as preclinical follicular lymphoma models for personalized medicine.Journal for immunotherapy of cancer · 2023Article
- Emerging Strategies in 3D Culture Models for Hematological Cancers.HemaSphere · 2023Review
- Modeling the crosstalk between malignant B cells and their microenvironment in B-cell lymphomas: challenges and opportunities.Frontiers in immunology · 2023Review
- A High-Throughput and Uniform Amplification Method for Cell Spheroids.Micromachines · 2022Article
- Three-dimensional models: a novel approach for lymphoma research.Journal of cancer research and clinical oncology · 2022Review
- Development and Characterization of 3D Hybrid Spheroids for the Investigation of the Crosstalk Between B-Cell Non-Hodgkin Lymphomas and Mesenchymal Stromal Cells.OncoTargets and therapy · 2022Article
- A novel 3D culture model recapitulates primary FL B-cell features and promotes their survival.Blood advances · 2021Article
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 2 countries.
Funding
Abstract
Follicular lymphoma (FL) is an indolent B cell lymphoproliferative disorder of transformed follicular center B cells, which accounts for 20-30 percent of all non-Hodgkin lymphoma (NHL) cases. Great advances have been made to identify the most relevant targets for precision therapy. However, no relevant models for in vitro studies have been developed or characterized in depth. To this purpose, we generated a 3D cell model from t(14;18)-positive B-NHL cell lines cultured in ultra-low attachment 96-well plates. Morphological features and cell growth behavior were evaluated by classical microscopy (2D imaging) and response to treatment with different drugs was evaluated by a high-content analysis system to determine the robustness of the model. We show that the ultra-low attachment (ULA) method allows the development of regular, spherical and viable ULA-multicellular aggregates of lymphoma cells (MALC). However, discrepancies in the results obtained after 2D imaging analyses on drug-treated ULA-MALC prompted us to develop 3D imaging and specific analyses. We show by using light sheet microscopy and specifically developed 3D imaging algorithms that 3D imaging and dedicated analyses are necessary to characterize morphological properties of 3D models and drug effects. This study proposes a new method, but also imaging tools and informatic solutions, developed for FL necessary for future preclinical studies.
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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.