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.

Human Cell
|April 21, 2026
PubMed

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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