Modelling three-dimensional cancer-associated cachexia and therapy: The molecular basis and therapeutic potential of

Marianna Cosentino1, Laura Forcina1, Mariam Zouhair1

  • 1DAHFMO-Unit of Histology and Medical Embryology, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Rome, Italy.

Abstract

Insights

Inhibiting Interleukin-6 (IL-6) transignalling effectively combats cancer cachexia in a novel muscle tissue model. This approach preserves muscle mass and function, offering a promising therapeutic strategy for this condition.

Area of Science:

  • Biomedical Engineering
  • Molecular Biology
  • Oncology

Background:

  • Cancer cachexia mechanisms are poorly understood, with no current therapies to reverse muscle wasting.
  • Interleukin-6 (IL-6) plays a critical role in skeletal muscle pathophysiology via distinct signaling pathways.

Purpose of the Study:

  • To model cancer-associated cachexia using a 3D ex vivo muscle engineered tissue (X-MET) system.
  • To evaluate the efficacy of selectively inhibiting IL-6 transignalling in counteracting cachectic changes.

Main Methods:

  • Utilized C26 adenocarcinoma cell-conditioned medium (CM) to induce a cachectic phenotype in X-MET.
  • Administered glycoprotein-130 fused chimaera (gp130Fc) to neutralize IL-6 transignalling.
  • Assessed muscle mass, myosin expression, contractile function, STAT3 signalling, and gene/miRNA expression.

Main Results:

  • C26-CM induced significant muscle mass loss, reduced myosin expression, and impaired contractility.
  • IL-6 transignalling activated STAT3 signalling, creating a feed-forward loop.
  • gp130Fc treatment prevented STAT3 hyperactivation, preserved muscle cross-sectional area, and reduced proteolytic factors.
  • Inhibition of IL-6 transignalling normalized pro-apoptotic miRNA expression and reduced apoptosis.

Conclusions:

  • Selective IL-6 transignalling inhibition is a promising strategy against cancer cachexia-related muscle alterations.
  • The X-MET model serves as a reliable platform for drug screening and preclinical testing, reducing animal model usage.