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Updated: Jul 17, 2025

Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening
Published on: September 5, 2018
Combination of Genomic Landsscape and 3D Culture Functional Assays Bridges Sarcoma Phenotype to Target and
Filomena de Nigris1, Concetta Meo1, Wulf Palinski2
1Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.
Abstract:
Genomic-based precision medicine has not only improved tumour therapy but has also shown its weaknesses. Genomic profiling and mutation analysis have identified alterations that play a major role in sarcoma pathogenesis and evolution. However, they have not been sufficient in predicting tumour vulnerability and advancing treatment. The relative rarity of sarcomas and the genetic heterogeneity between subtypes also stand in the way of gaining statistically significant results from clinical trials. Personalized three-dimensional tumour models that reflect the specific histologic subtype are emerging as functional assays to test anticancer drugs, complementing genomic screening. Here, we provide an overview of current target therapy for sarcomas and discuss functional assays based on 3D models that, by recapitulating the molecular pathways and tumour microenvironment, may predict patient response to treatments. This approach opens new avenues to improve precision medicine when genomic and pathway alterations are not sufficient to guide the choice of the most promising treatment. Furthermore, we discuss the aspects of the 3D culture assays that need to be improved, such as the standardisation of growth conditions and the definition of in vitro responses that can be used as a cut-off for clinical implementation.
Insights
Genomic profiling alone is insufficient for sarcoma treatment. Personalized 3D tumor models offer a promising functional assay to predict patient response and advance precision medicine for rare cancers.
Area of Science:
- Oncology
- Genetics
- Biotechnology
Background:
- Genomic profiling has improved sarcoma therapy but has limitations in predicting treatment response due to tumor rarity and heterogeneity.
- Current genomic approaches alone are insufficient for guiding effective sarcoma treatment strategies.
Purpose of the Study:
- To review current targeted therapies for sarcomas.
- To discuss the potential of personalized 3D tumor models as functional assays for predicting treatment response.
- To explore how 3D models can enhance precision medicine in sarcoma treatment.
Main Methods:
- Overview of current sarcoma target therapies.
- Discussion of functional assays utilizing personalized 3D tumor models.
- Analysis of 3D models' ability to recapitulate molecular pathways and tumor microenvironment.
Main Results:
- Genomic alterations are crucial in sarcoma but do not fully predict treatment outcomes.
- Personalized 3D tumor models show promise in functional drug screening.
- 3D models may predict patient response by mimicking tumor biology and microenvironment.
Conclusions:
- Personalized 3D tumor models offer a complementary approach to genomic screening for sarcoma treatment.
- These models can guide precision medicine when genomic data is insufficient.
- Further standardization of 3D culture assays is needed for clinical implementation.
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