The prognostic effect of mechanical, ultrastructural, and ECM signatures in glioblastoma core and rim.

in APL bioengineering by Bradley J Mahaffey, Zachary P Fowler, Zoe Lung, Vivien Dang, Hyunchul Lee, Allison McKenzie Johnson, Marco A Munoz, Dylan A Goodin, Hermann B Frieboes, Brian J Williams, Joseph Chen

TLDR

  • This study looked at the structure of the tumor extracellular matrix (ECM) in patient-matched GBM core and rim tissues. They found that the GBM core is stiffer and denser than the rim and non-neoplastic tissues. These differences are related and have an impact on the patient's prognosis. The study provides new insights into the GBM tumor microenvironment and may help in the development of strategies to combat therapeutic resistance.

Abstract

Glioblastoma (GBM) is a highly invasive, aggressive brain cancer that carries a median survival of 15 months and is resistant to standard therapeutics. Recent studies have demonstrated that intratumoral heterogeneity plays a critical role in promoting resistance by mediating tumor adaptation through microenvironmental cues. GBM can be separated into two distinct regions-a core and a rim, which are thought to drive specific aspects of tumor evolution. These differences in tumor progression are regulated by the diverse biomolecular and biophysical signals in these regions, but the acellular biophysical characteristics remain poorly described. This study investigates the mechanical and ultrastructural characteristics of the tumor extracellular matrix (ECM) in patient-matched GBM core and rim tissues. Seven patient-matched tumor core and rim samples and one non-neoplastic control were analyzed using atomic force microscopy, scanning electron microscopy, and immunofluorescence imaging to quantify mechanical, ultrastructural, and ECM composition changes. The results reveal significant differences in biophysical parameters between GBM core, rim, and non-neoplastic tissues. The GBM core is stiffer, denser, and is rich in ECM proteins hyaluronic acid and tenascin-C when compared to tumor rim and non-neoplastic tissues. These alterations are intimately related and have prognostic effect with stiff, dense tissue correlating with longer progression-free survival. These findings reveal new insights into the spatial heterogeneity of biophysical parameters in the GBM tumor microenvironment and identify a set of characteristics that may correlate with patient prognosis. In the long term, these characteristics may aid in the development of strategies to combat therapeutic resistance.

Overview

  • The study investigates the mechanical and ultrastructural characteristics of the tumor extracellular matrix (ECM) in patient-matched GBM core and rim tissues using atomic force microscopy, scanning electron microscopy, and immunofluorescence imaging to quantify mechanical, ultrastructural, and ECM composition changes. The study aims to reveal new insights into the spatial heterogeneity of biophysical parameters in the GBM tumor microenvironment and identify a set of characteristics that may correlate with patient prognosis. The hypothesis being tested is that there are significant differences in biophysical parameters between GBM core, rim, and non-neoplastic tissues, and that these alterations are intimately related and have prognostic effect with stiff, dense tissue correlating with longer progression-free survival.

Comparative Analysis & Findings

  • The study reveals significant differences in biophysical parameters between GBM core, rim, and non-neoplastic tissues. The GBM core is stiffer, denser, and is rich in ECM proteins hyaluronic acid and tenascin-C when compared to tumor rim and non-neoplastic tissues. These alterations are intimately related and have prognostic effect with stiff, dense tissue correlating with longer progression-free survival.

Implications and Future Directions

  • The study's findings reveal new insights into the spatial heterogeneity of biophysical parameters in the GBM tumor microenvironment and identify a set of characteristics that may correlate with patient prognosis. These characteristics may aid in the development of strategies to combat therapeutic resistance. Future research directions could include investigating the role of these biophysical parameters in GBM progression and response to therapy, as well as exploring the potential of targeting these parameters for therapeutic intervention.