Lv Xuejiao, Wang Bo, Liu Kunlun, Li Mulin Jun, Yi Xianfu, Wu Xudong
State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Department of Cell Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
iScience. 2024 May 21;27(6):110064. doi: 10.1016/j.isci.2024.110064. eCollection 2024 Jun 21.
Glioblastoma multiforme (GBM) is one of the most lethal brain tumors, characterized by profound heterogeneity. While single-cell transcriptomic studies have revealed extensive intra-tumor heterogeneity, shed light on intra-tumor diversity, spatial intricacies remain largely unexplored. Leveraging clinical GBM specimens, this study employs spatial transcriptomics technology to delve into gene expression heterogeneity. Our investigation unveils a significant enrichment of tissue stem cell signature in regions bordering necrosis and the peritumoral area, positively correlated with the mesenchymal subtype signature. Moreover, upregulated genes in these regions are linked with extracellular matrix (ECM)-receptor interaction, proteoglycans, as well as vascular endothelial growth factor (VEGF) and angiopoietin-Tie (ANGPT) signaling pathways. In contrast, signatures related to glycogen metabolism and oxidative phosphorylation show no relevance to pathological zoning, whereas creatine metabolism signature is notably exclusive to vascular-enriched areas. These spatial profiles not only offer valuable references but also pave the way for future in-depth functional and mechanistic investigations into GBM progression.
多形性胶质母细胞瘤(GBM)是最致命的脑肿瘤之一,其特征是具有高度异质性。虽然单细胞转录组学研究揭示了肿瘤内广泛的异质性,阐明了肿瘤内的多样性,但空间复杂性在很大程度上仍未得到探索。本研究利用临床GBM标本,采用空间转录组学技术深入研究基因表达异质性。我们的研究揭示了在坏死边界和肿瘤周围区域的组织干细胞特征显著富集,与间充质亚型特征呈正相关。此外,这些区域中上调的基因与细胞外基质(ECM)-受体相互作用、蛋白聚糖以及血管内皮生长因子(VEGF)和血管生成素-酪氨酸激酶(ANGPT)信号通路有关。相比之下,与糖原代谢和氧化磷酸化相关的特征与病理分区无关,而肌酸代谢特征则明显仅存在于血管丰富的区域。这些空间图谱不仅提供了有价值的参考,也为未来深入研究GBM进展的功能和机制铺平了道路。