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April 10, 2026Current Medicinal Chemistry2 citations

Single-Cell and Bulk Transcriptomic Integration Reveals a Stemness-Related Astrocyte Subpopulation for Prognostic Risk Stratification in Glioblastoma

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JWJiachong WangJLJing LiCZChunyuan Zhang

Key Points

  • The study aims to identify a gene signature associated with stemness that can help stratify glioblastoma risk.
  • Developed a four-gene signature related to stemness.
  • Conducted transcriptomic integration at single-cell and bulk levels.
  • Analyzed tumor microenvironment characteristics.
  • Identified an immunosuppressive microenvironment in high-risk glioblastoma tumors.
  • Provided a prognostic tool for risk stratification using the four-gene signature.

Abstract

We developed a stemness-associated four-gene signature that enables risk stratification in GBM and reveals an immunosuppressive microenvironment in high-risk tumors, providing new directions for prognosis and targeted therapy.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69d893eb6c1944d70ce04dedhttps://doi.org/10.2174/0109298673451085260213110913
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrative Single-Cell and Bulk Transcriptome Analysis Reveals Molecular Mechanisms, Prognostic Signatures, and Therapeutic Response in Glioma2026
  2. 2IGFBP7+ subpopulation and IGFBP7 risk score in astrocytoma: insights from scRNA-Seq and bulk RNA-Seq2024 · 1 citations
  3. 3From single-cell to spatial transcriptomics: decoding the glioma stem cell niche and its clinical implications2024 · 8 citations
  4. 4Integrative single-cell and bulk transcriptome analyses identify a distinct pro-tumor macrophage signature that has a major prognostic impact on glioblastomas2024 · 2 citations
  5. 5Stratification of glioma based on stemness scores in bulk and single-cell transcriptomes2024