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Updated: Apr 23, 2026

Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening
Published on: September 5, 2018
Culture-dependent baseline states and drug response programs in myxofibrosarcoma models across 2D and 3D systems
Yuki Yoshimatsu1, Yomogi Shiota2, Tadashi Kondo2
1Department of Patient-Derived Cancer Model, Tochigi Cancer Center Research Institute, 4-9-13 Yohnan, Utsunomiya, Tochigi, 320-0834, Japan. yuyoshim@tochigi-cc.jp.
Abstract:
Myxofibrosarcoma (MFS) is a rare soft-tissue sarcoma with limited systemic therapy options, necessitating preclinical platforms that better simulate clinical drug responses. We investigated how 2D monolayers versus 3D spheroids shape the baseline transcriptome and doxorubicin (DOX)-responsive programs across six patient-derived MFS cell lines. RNA sequencing revealed that 3D culture induces a distinct transcriptomic state characterized by the enrichment of microenvironment-associated stress programs, such as hypoxia, inflammatory/NF-κB signaling, and glycolysis, alongside the suppression of proliferation-related pathways. Although the global DOX-induced transcriptional response was highly environment-dependent, we identified a robust core of six regulators-MCRIP1, FGF12, HGF, EMSY, FZD2, and SECISBP2-whose transcriptional changes consistently correlated with cell survival rates across both 2D and 3D geometries. These genes are involved in transcriptional plasticity, redox homeostasis, and bypass survival signaling, providing a mechanistic basis for DOX resistance that transcends culture conditions. Our findings demonstrate that while culture geometry is a critical determinant of the MFS transcriptome, a robust set of environment-agnostic regulators dictates DOX efficacy. Integrating 3D systems with these specific transcriptomic readouts enhances the interpretability of drug screenings and supports the prioritization of rational therapeutic combinations for this rare sarcoma.
Insights
Three-dimensional cultures reveal key regulators of doxorubicin resistance in myxofibrosarcoma (MFS). These findings improve preclinical models for developing effective treatments for this rare cancer.
Area of Science:
- Oncology
- Molecular Biology
- Biotechnology
Background:
- Myxofibrosarcoma (MFS) is a rare soft-tissue sarcoma with limited treatment options.
- Preclinical models are crucial for understanding drug responses in MFS.
- Current models may not accurately reflect the tumor microenvironment's influence on drug efficacy.
Purpose of the Study:
- To compare the transcriptomic profiles of MFS cells in 2D versus 3D culture.
- To identify key regulators of doxorubicin (DOX) response in different culture conditions.
- To evaluate the utility of 3D models for predicting drug response in MFS.
Main Methods:
- Cultured six patient-derived MFS cell lines in 2D monolayers and 3D spheroids.
- Performed RNA sequencing to analyze transcriptomic differences.
- Correlated gene expression changes with cell survival rates after doxorubicin treatment.
Main Results:
- 3D culture induced distinct transcriptomic states, including hypoxia, inflammatory signaling, and altered glycolysis.
- Doxorubicin response varied significantly between 2D and 3D cultures.
- A core set of six regulators (MCRIP1, FGF12, HGF, EMSY, FZD2, SECISBP2) consistently predicted DOX efficacy across both environments.
Conclusions:
- Culture geometry significantly impacts the MFS transcriptome and drug response.
- The identified core regulators offer potential therapeutic targets for overcoming DOX resistance.
- Integrating 3D models and specific transcriptomic readouts can enhance preclinical drug screening for MFS.
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