Anticancer drug discovery using multicellular tumor spheroid models

Michele Zanoni1, Sara Pignatta1, Chiara Arienti1

  • 1a Biosciences Laboratory , Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS , Meldola , Italy.

Abstract

Insights

Three-dimensional (3D) tumor models offer a more realistic in vitro drug screening platform than traditional 2D cultures. While promising for cancer drug discovery, their predictive capacity requires further enhancement with advanced technologies.

Area of Science:

  • Oncology
  • Drug Discovery
  • Biotechnology

Background:

  • Advanced cancers remain incurable despite significant investment in research.
  • Traditional 2D cell cultures do not fully replicate tumor complexity.
  • Three-dimensional (3D) tumor models offer a more biologically relevant in vitro system.

Purpose of the Study:

  • To review techniques for generating tumor spheroids.
  • To discuss current and future applications of 3D tumor models in drug discovery.
  • To highlight the potential of 3D models in improving anticancer drug approval rates.

Main Methods:

  • Literature review of PubMed-indexed articles.
  • Focus on techniques for generating tumor spheroids.
  • Analysis of current and future applications in drug discovery.

Main Results:

  • 3D tumor models, such as spheroids, better mimic tumor architecture and cellular gradients than 2D cultures.
  • These models provide a more accurate in vitro environment for drug screening.
  • The review covers spheroid generation techniques and their utility in drug discovery.

Conclusions:

  • 3D tumor models show promise for enhancing anticancer drug discovery and clinical translation.
  • Caution is advised against overestimating the predictive power of current spheroid models.
  • Future advancements require integrating co-culture, high-content imaging, and microfluidics to improve biomimicry and readout accuracy.

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