Characterizing the Linkage of Systemic Hypoxia and Angiogenesis in High-Grade Glioma to Define the Changes in Tumor Microenvironment for Predicting Prognosis

  • 0Department of Research and Training, ICMR-Bhopal Memorial Hospital and Research Centre, Bhopal, 462038, M.P, India.

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Summary

This summary is machine-generated.

A new panel of biomarkers from the tumor microenvironment can predict survival in high-grade gliomas (HGG). This liquid biopsy approach identifies inflammation, hypoxia, and angiogenesis markers for personalized HGG therapy.

Area Of Science

  • Neuro-oncology
  • Tumor Microenvironment Research
  • Biomarker Discovery

Background

  • High-grade gliomas (HGG) have poor prognoses with limited survival improvements.
  • Current prognostication methods for HGG lack precision.
  • The tumor microenvironment (TME) plays a critical role in HGG progression.

Purpose Of The Study

  • To identify and validate a non-invasive biomarker panel from the TME for precise prognostication in HGG.
  • To assess the linked expression of TME components and their prognostic value.
  • To explore the potential of a liquid biopsy approach for HGG survival prediction.

Main Methods

  • Analysis of 86 therapy-naive HGG patients and 45 controls.
  • Screening of systemic biomarker expression using dot-immune assay (DIA), ELISA, and immunocytochemistry (ICC).
  • Evaluation of seven TME markers: IL-6, iNOS, HSP70, VEGF, ET1, MMP14, and ICAM1.

Main Results

  • Expression of all seven biomarkers was positively associated with glioma grade.
  • Circulating levels of these biomarkers negatively correlated with overall survival (p < 0.0001).
  • A combined biomarker panel demonstrated higher sensitivity for survival prediction than individual markers.

Conclusions

  • The identified biomarker panel effectively distinguishes HGG grades and predicts differential survival.
  • Significant intra-association of biomarkers suggests crosstalk between TME components, potentially driven by hypoxia and inflammation.
  • This liquid biopsy approach offers a promising tool for personalized HGG therapy and prognostication.

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