Three-Dimensional Patient-Derived In Vitro Sarcoma Models: Promising Tools for Improving Clinical Tumor Management

Manuela Gaebler1, Alessandra Silvestri2, Johannes Haybaeck3,4

  • 1HELIOS Klinikum Berlin-Buch GmbH, Department of Interdisciplinary Oncology, Berlin, Germany.

Frontiers in Oncology
|September 29, 2017
PubMed

Insights

Sarcomas lack targeted therapies due to heterogeneity. Three-dimensional spheroid/organoid models offer a promising preclinical approach to understand sarcoma biology and develop new treatments.

Area of Science:

  • Oncology
  • Molecular Biology
  • Translational Medicine

Background:

  • Targeted therapeutics have improved carcinoma treatment but not sarcoma care.
  • Sarcomas present treatment challenges due to over 70 subtypes and limited knowledge of molecular drivers.
  • Current sarcoma treatment relies on surgery, chemotherapy, and radiation, with limited molecular therapies like for gastrointestinal stromal tumors.

Purpose of the Study:

  • To review current preclinical models for sarcoma research.
  • To highlight the potential of three-dimensional (3D) spheroid/organoid models in understanding sarcoma biology.
  • To emphasize the need for innovative models to develop targeted sarcoma therapeutics.

Main Methods:

  • Review of existing literature on sarcoma preclinical models.
  • Focus on in vitro testing, including cell lines and patient-derived models.
  • Detailed examination of three-dimensional spheroid/organoid models.

Main Results:

  • Patient-derived models and cell lines are valuable in vitro tools for sarcoma research.
  • Three-dimensional spheroid/organoid models offer a more accurate representation of tumor architecture and microenvironment.
  • These advanced models facilitate the study of cell-cell and cell-microenvironment interactions crucial for tumor progression.

Conclusions:

  • Innovative preclinical models are essential for advancing sarcoma targeted therapy development.
  • Three-dimensional spheroid/organoid models show significant promise for overcoming challenges posed by sarcoma heterogeneity.
  • Further research using these advanced models can lead to novel therapeutic strategies for sarcoma patients.

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