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An Overview on Diffuse Large B-Cell Lymphoma Models: Towards a Functional Genomics Approach.
Natalia Yanguas-Casás1, Lucía Pedrosa1,2, Ismael Fernández-Miranda1,2
1Lymphoma Research Group, Medical Oncology Department, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), C/Joaquín Rodrigo 2, Majadahonda, 28222 Madrid, Spain.
Cancers
|July 2, 2021
Summary
Precision medicine in lymphoma research integrates genetic data for treatment. New models like spheroids and organoids offer expanded therapeutic options beyond genomics for aggressive B-cell lymphomas.
Area of Science:
- Oncology
- Genetics
- Pharmacology
Background:
- Lymphoma research integrates basic and clinical findings for diagnosis and therapy.
- Current treatments use clinical, phenotypic, and genetic data to predict patient response.
- Alternative therapies for refractory or relapsed lymphoma are often empirical due to genetic complexity.
Purpose of the Study:
- To review recent advancements in diffuse large B-cell lymphomas genomics.
- To explore the potential of expanded precision medicine concepts beyond genomics for lymphoma treatment.
- To discuss the clinical applicability of novel research models.
Main Methods:
- Review of current literature on lymphoma genomics and precision medicine.
- Analysis of functional models including cell lines, mouse models, and spheroid/organoid systems.
- Discussion of the translation of research findings to clinical practice.
Main Results:
- Genetic and epigenetic alterations in lymphomas complicate drug sensitivity prediction.
- Precision medicine in lymphoma should extend beyond genomics to include other biological factors.
- Spheroid and organoid models represent promising new approaches for studying tumor biology and treatment response.
Conclusions:
- Novel research models offer improved platforms for understanding lymphoma biology and drug response.
- Expanding precision medicine concepts is crucial for developing better alternative therapies for lymphoma patients.
- Further research is needed to integrate these findings into daily clinical practice for improved lymphoma management.

