Discover how melatonin offers a promising avenue for protecting retinal ganglion cells from oxidative stress-induced damage, highlighting the potential of the thioredoxin-1 pathway in neurosurgical interventions.
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Integration of Single-Cell and Bulk RNA-seq Data to Identify the Cancer-Associated Fibroblast Subtypes and Risk Model in Glioma.
Yan et al., Biochem Genet 2024
<!– DOI: 10.1007/s10528-024-10751-3 //–>
https://doi.org/10.1007/s10528-024-10751-3
This study explores the role of cancer-associated fibroblasts (CAFs) in glioma progression, utilizing data from 1333 glioma samples from the TCGA and CGGA datasets. Through the analysis of single-cell RNA-seq datasets and various computational algorithms, 23 prognostic CAF markers were identified. Glioma patients were categorized into two distinct subtypes based on these markers, leading to the development of a CAF-related signature (CRS) model comprising markers such as PCOLCE, TIMP1, and CLIC1. This CRS model was shown to accurately predict glioma prognosis, with high-CRS score patients exhibiting higher immune infiltration and tumor mutation burden. Additionally, the CRS score was found to potentially predict responses to immune checkpoint blockade (ICB) therapy and chemotherapy. The study’s findings, validated through RT‒qPCR, suggest that classifying glioma patients based on CAF markers can aid in tailoring individualized therapies and provide insights into the CRS’s predictive value for treatment responses.