Development of a 3D Tumor Spheroid Model from the Patient's Glioblastoma Cells and Its Study by Metabolic

D V Yuzhakova1, M M Lukina2, D A Sachkova3

  • 1Researcher, Laboratory of Genomics of Adaptive Antitumor Immunity, Research Institute of Experimental Oncology and Biomedical Technologies; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia.

Insights

Researchers developed a 3D glioblastoma spheroid model from patient samples to study tumor metabolism. This model, combined with fluorescence lifetime imaging microscopy (FLIM), reveals metabolic heterogeneity and responses to hypoxia, aiding in personalized cancer therapy development.

Area of Science:

  • Oncology
  • Biotechnology
  • Medical Imaging

Background:

  • Patient-specific in vitro tumor models are crucial for understanding oncogenesis and guiding personalized drug selection.
  • Glial brain tumors, particularly glioblastoma, have unsatisfactory treatment outcomes, necessitating advanced research models.
  • Developing 3D glioblastoma spheroids from patient surgical material offers a relevant platform for studying tumor biology.

Purpose of the Study:

  • To establish a 3D glioblastoma spheroid model using patient-derived surgical samples.
  • To investigate the metabolic characteristics of these patient-specific spheroids.
  • To utilize fluorescence lifetime imaging microscopy (FLIM) for metabolic coenzyme analysis.

Main Methods:

  • Isolation and characterization of primary glial cultures from glioblastoma patient tumor samples.
  • Cultivation of cells into 3D spheroids using ultra low-adhesion plates with optimized cell seeding (2000 cells/well).
  • Metabolic coenzyme analysis (NAD(P)H, FAD) using FLIM under normoxic and hypoxic conditions.

Main Results:

  • A reproducible protocol for 3D glioblastoma spheroid cultivation from patient material was developed.
  • Patient-derived spheroids exhibited similar metabolism to the U373 MG cell line but showed greater metabolic heterogeneity.
  • Hypoxia induced a shift towards glycolytic metabolism, evidenced by increased free NAD(P)H fluorescence.

Conclusions:

  • The developed patient-derived glioblastoma spheroid model is a valuable tool for studying tumor metabolism.
  • FLIM analysis of these spheroids provides insights into metabolic characteristics and responses to environmental changes.
  • This model holds potential for developing predictive tests for antitumor therapy effectiveness.

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