ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1614549

This article is part of the Research TopicCommunity Series in Immunological Precision Therapeutics: Integrating Multi-Omics Technologies and Comprehensive Approaches for Personalized Immune Intervention: Volume IIView all 19 articles

Single-Cell and Spatial Atlas of Glioblastoma Heterogeneity: Characterizing the PCLAF+ Subtype and YEATS4's Oncogenic Role

Provisionally accepted
  • 1Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
  • 2College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China
  • 3Department of Scientific Research, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China

The final, formatted version of the article will be published soon.

AbstractBackground: Glioblastoma (GBM) was considered the most aggressive type of primary brain tumor, marked by poor clinical outcomes and a high tendency to relapse. The therapeutic efficacy of GBM was significantly compromised by tumor heterogeneity, dysregulated metabolic pathways, the formation of an immunosuppressive microenvironment, and treatment resistance. Therefore, multi-dimensional therapeutic strategies targeting GBM-specific molecular features, its intrinsic properties, and microenvironmental regulatory networks were considered to potentially provide new breakthroughs for overcoming treatment resistance in GBM.Methods: We analyzed single-cell RNA sequencing (scRNA-seq) data processed with the Seurat package to accurately identify cell types. Spatial transcriptomics integrated Multimodal Intersection Analysis, TransferData, and Robust Cell Type Decomposition techniques to characterize the spatial distribution patterns of key cell subtypes. CellChat was employed to assess intercellular communication networks. Furthermore, in vitro experiments confirmed the main regulatory role of YEATS4 (key transcription factor of C2 PCLAF+ subtype) in GBM malignant progression. Results: Through scRNA-seq, we identified the C2 PCLAF+ subtype in GBM and analyzed its molecular characteristics and functional role in tumor progression. This subtype exhibited a unique malignant phenotype, marked by significant proliferative activity, characteristic metabolic reprogramming, and dysregulated cell death regulation mechanisms. Spatial transcriptomics revealed its preferential localization within specific tumor niches. Furthermore, the C2 PCLAF+ subtype established a specific interaction with fibroblasts through the MDK-LRP1 ligand‒receptor pair. Critically, silencing YEATS4 in vitro significantly inhibited GBM malignancy. Additionally, the prognostic risk score model based on the C2 PCLAF+ subtype demonstrated significant clinical translational value.Conclusion: Our study systematically elucidated the malignant characteristics of the C2 PCLAF+ subtype and its molecular mechanisms driving GBM progression. This subtype promoted therapeutic resistance through unique metabolic reprogramming, MDK-LRP1-mediated microenvironmental interactions, and immunosuppressive properties. YEATS4 knockdown effectively suppressed malignant tumor behaviors, highlighting its therapeutic potential. These findings provided novel targeted intervention strategies to address GBM heterogeneity and treatment resistance, offering promising avenues for overcoming current therapeutic limitations.

Keywords: Glioblastoma, ScRNA-seq, Spatial transcriptomics, YEATS4, tumor heterogeneity

Received: 19 Apr 2025; Accepted: 11 Jul 2025.

Copyright: © 2025 Ma, Sun, Zheng, Fu, Wang, Liu, Jiao, Zhu, Li, Yan, Chen and Ye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yuwei Sun, College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250011, Shandong Province, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.