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

Summary: 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 sam...

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Bibliographic Details

Published in:	iScience
Main Authors:	Qinran Zhang, Huizhong Chi, Yanhua Qi, Rongrong Zhao, Fuzhong Xue, Gang Li, Hao Xue
Format:	Article
Language:	English
Published:	Elsevier 2025-07-01
Subjects:	Biological sciences Bioinformatics Cancer Artificial intelligence Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2589004225011423