10064-GGE-6 IDH-野生型胶质母细胞瘤的多组学图谱

Takuma Nakashima, Yusuke Funakoshi, Ryo Yamamoto, Yuriko Sugihara, Shohei Nambu, Yoshiki Arakawa, S. Tanaka, Joji Ishida, R. Saito, R. Hanaya, Koji Yoshimoto, Y. Narita, Hiromichi Suzuki
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摘要

胶质母细胞瘤(GBM)是最常见的恶性脑肿瘤。虽然以前的大规模基因组分析确定了许多驱动基因,但在开发新的治疗方法方面取得了有限的进展。为了进一步了解GBM发展的分子机制,包括表观遗传学和转录组学分析在内的综合分析是必要的,已知这些分析可以调节恶性肿瘤的进展。我们分析了289份全基因组测序(WGS),包括159份未发表的深度WGS(≥×120覆盖范围),以及RNA-seq、DNA甲基化阵列、亚硫酸氢盐全基因组测序和转座酶可及染色质测序(ATAC-seq)。突变分析确定了显示肿瘤间异质性的已知驱动改变。深度WGS使我们能够描绘出克隆结构的精细视图,显示克隆和亚克隆突变之间不同的突变特征,表明不同的突变过程有助于GBM的发病机制,这取决于发育阶段。遗传改变与基因表达亚型和DNA甲基化模式密切相关。转录反褶积分析揭示了病例中分化和干细胞样细胞状态的比例不均。主要由分化细胞组成的肿瘤表现出与经典亚型一致的遗传和表观遗传谱,而主要由干细胞样细胞组成的肿瘤表现出与前膜亚型一致的遗传谱。全基因组染色质可及性模式与GBM的表达亚型密切相关。开放染色质位点的基序富集分析发现了特定的转录因子结合位点,如前膜亚型中的SOX10基序,已知可调节细胞状态,间质亚型和经典亚型中的CREB基序,可通过tgf - β调节促进细胞增殖和血管生成。这些发现支持了一个模型,即染色质结构的差异也调节了GBM的进展。我们的分析包含多层分子机制,揭示了GBM的进化通过隐藏的遗传改变和表观遗传修饰,这取决于肿瘤的起始阶段和细胞分化状态。
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10064-GGE-6 A MULTI-OMIC LANDSCAPE OF GLIOBLASTOMA, IDH-WILD TYPE
Abstract Glioblastoma (GBM) is the most common and highly resistant malignant brain tumor. Although the previous large-scale genomic analyses identified numerous driver genes, limited progress has been achieved in the development of novel treatments. To obtain further insights into the molecular mechanisms underlying the development of GBM, an integrated analysis including epigenetic and transcriptomic analyses, known to regulate malignant tumor progression, is imperative. We analyzed 289 whole-genome sequencing (WGS) including 159 unpublished deep WGS (≥ ×120 coverage) along with RNA-seq, DNA methylation array, whole-genome bisulfite sequencing, and assay for transposase-accessible chromatin with sequencing (ATAC-seq).Mutational analysis identified known driver alterations exhibiting inter-tumoral heterogeneity. Deep WGS enables us to delineate a fine view of clonal architecture demonstrating distinct mutational signatures between clonal and subclonal mutations, suggesting different mutational processes contribute to GBM pathogenesis depending on the developmental stage. Genetic alterations are strongly associated with gene expression subtypes and DNA methylation patterns. Transcriptional deconvolution analysis reveals the heterogeneous proportion of differentiated and stem-like cell states among cases. Tumors predominantly comprised of differentiated cells display genetic and epigenetic profiles that align with the classical subtype, whereas tumors predominantly composed of stem-like cells exhibit profiles consistent with the proneural subtype. Genome-wide chromatin accessibility patterns are well associated with expression subtypes of GBM. Motif enrichment analysis of open chromatin sites identified specific transcription factor binding sites, such as the SOX10 motif in the proneural subtype, known to regulate cell states, and the CREB motif in the mesenchymal and classical subtypes, which promote cell proliferation and angiogenesis through TGF-beta regulation. These findings support a model in which the difference in chromatin structure also regulates the progression of GBM.Our analysis encompassing multilayer molecular mechanisms reveals that GBM evolves through harboring genetic alterations and epigenetic modifications depending on the tumor initiation stage and cellular differentiation status.
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