A tumor microenvironment model for glioma diagnosis and therapeutic evaluation based on the analysis of tissues and biological fluids.

Journal: iScience
Published Date: Jun 13, 2025

Abstract

Traditional glioma diagnostic methods have limitations, while liquid biopsy is a promising non-invasive option. This study developed the glioma-related cell signature (GRCS), a prediction model that integrates machine learning with biological insights. Trained on tumor-educated platelet samples, the GRCS model demonstrated consistent performance across validation cohorts comprising platelet, extracellular vesicle, and tumor tissue specimens. The GRCS score showed significant associations with patient age, histological grade, survival outcome, and mutational landscape. Moreover, the GRCS model effectively distinguished responses to bevacizumab and immunotherapy and identified potential candidates for combination therapies. Furthermore, a miRNA-based simplified GRCS model (GRCSS) was developed and validated across different specimen cohorts, demonstrating its robust diagnostic and prognostic capabilities in glioma. This work highlights the potential of GRCS as a versatile tool for personalized glioma management across multiple biopsy specimen types.

Authors

  • Qinran Zhang
    Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan 250012, China.
  • Huizhong Chi
    Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan 250012, China.
  • Yanhua Qi
    School of Life Sciences, Zhengzhou University Zhengzhou 450001 Henan China pingaw@126.com.
  • Rongrong Zhao
    Department of Oncology, Jiangdu People's Hospital, Yangzhou, Jiangsu, China.
  • Fuzhong Xue
    Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, PO Box 100, Jinan, 250012, China. xuefzh@sdu.edu.cn.
  • Gang Li
    The Centre for Cyber Resilience and Trust, Deakin University, Australia.
  • Hao Xue
    School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China.

Keywords

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