RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:The Molecular Characteristics and Therapeutic Implications of O-glycan Synthesis in Pancreatic Cancer by Integrating Transcriptome and Single-cell Data.
The Molecular Characteristics and Therapeutic Implications of O-glycan Synthesis in Pancreatic Cancer by Integrating Transcriptome and Single-cell Data.
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我们首先构建了与胰腺癌 O-聚糖生物合成相关的分子亚型和预后模型。
聚糖是调节癌症进展关键致癌过程的蛋白质主要组成部分。本研究探讨 O-聚糖合成在胰腺癌(PC)发生、结局和治疗中的意义。
从 TCGA 和 GEO 数据库获取 PC 转录组和临床预后资料;从 CSA 数据库获取 PC 单细胞数据;通过 MSigDB 平台获取 O-聚糖生物合成信号通路及相关基因。采用非负矩阵分解(NMF)聚类构建 PC 中与 O-聚糖生物合成相关的分子亚型,并通过 LASSO 和 Cox 回归建立预后预测模型。利用实时定量 PCR(qRT-PCR)验证模型基因表达水平。通过单细胞分析评估 PC 肿瘤微环境中靶基因及 O-聚糖生物合成信号通路的水平。
研究获得 30 个 O-聚糖生物合成相关基因,其中 15 个与 PC 预后相关。所有 PC 样本被分为两种不同亚型:OGR Gcluster C1 和 C2。与 C1 相比,C2 患者临床分期和病理分级更晚、预后更差,且 O-聚糖生物合成功能更活跃。免疫分析显示,初始 B 细胞、CD8+ T 细胞、记忆活化 CD4+ T 细胞和单核细胞在 C1 中浸润水平显著较高;静息 NK 细胞、M0 巨噬细胞、静息和活化树突状细胞及中性粒细胞在 C2 中浸润水平明显较高。C1 对顺铂、伊立替康、KRAS(G12C) 抑制剂-12、奥沙利铂、紫杉醇和索拉非尼等药物更敏感。此外,研究建立了由 SPRR1B、COL17A1 和 ECT2 构成的 O-聚糖生物合成相关预后模型,且预测表现良好。SPRR1B、COL17A1 和 ECT2 在 PC 组织中显著高表达,并与不良结局相关。单细胞分析显示,O-聚糖生物合成仅在 PC 中观察到,与此一致,靶基因在 PC 中显著富集。
本研究首次构建了与 PC 中 O-聚糖生物合成相关的分子亚型和预后模型。O-聚糖生物合成与 PC 的发生、预后、免疫微环境和治疗相关,可为 PC 患者分层、诊断和治疗提供新策略。
Glycans constitute the primary components of proteins that regulate key carcinogenic processes in cancer progression. This study investigated the significance of O-glycan synthesis in the pathogenesis, outcome, and therapy of pancreatic cancer (PC).
Transcriptomic data and clinical prognostic information of PC were acquired via TCGA and GEO databases. CSA database was used to obtain single-cell data of PC. The O-glycan biosynthesis signaling pathway and its related genes were acquired via the MSigDB platform. The nonnegative matrix factorization (NMF) clustering was utilized to construct the O-glycan biosynthesis- associated molecular subtypes in PC. The LASSO and Cox regression were utilized to build the prognostic prediction model. We utilized real-time quantitative PCR (qRT-PCR) to verify the expressed levels of model genes. Single-cell analysis was utilized to investigate the levels of target genes and O-glycan biosynthesis signaling pathway in the PC tumour microenvironment.
We obtained 30 genes related to O-glycan biosynthesis, among which 15 were associated with the prognosis of PC. All PC samples were grouped into two distinct molecular subtypes associated with O-glycan biosynthesis: OGRGcluster C1 and OGRGcluster C2, and compared to OGRGcluster C1. PCs in OGRGcluster C2 had a more advanced clinical stage and pathological grade, worse prognosis, and more active O-glycan biosynthesis function. Immune analysis indicated that na ve B cell, CD8+ T cell, memory-activated CD4+ T cell, and monocytes displayed remarkably higher infiltration levels in OGRGcluster C1 while resting NK cell, macrophages M0, resting dendritic cell, activated dendritic cell, and neutrophils exhibited markedly higher infiltration levels in OGRGcluster C2. OGRGcluster C1 exhibited higher sensitivities to drugs, such as cisplatin, irinotecan, KRAS(G12C) inhibitor-12, oxaliplatin, paclitaxel, and sorafenib. Besides, we built the O-glycan biosynthesis-related prognostic model (including SPRR1B, COL17A1, and ECT2) with a good prediction performance. SPRR1B, COL17A1, and ECT2 were remarkably highly expressed in PC tissues and linked to a poor outcome. Single-cell analysis revealed that O-glycan biosynthesis was observed only in PC, and consistent with this, the target genes were significantly enriched in PC.
We first constructed molecular subtypes and prognostic models related to O-glycan biosynthesis in PC. It is clear that O-glycan biosynthesis is related to the development, prognosis, immune microenvironment, and treatment of PC. This provides new strategies for stratification, diagnosis, and treatment of PC patients.
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