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:Systematic profiling of mitochondria-related transcriptome in tumorigenesis, prognosis, and tumor immune microenvironment of intrahepatic cholangiocarcinoma: a multi-center cohort study.
Systematic profiling of mitochondria-related transcriptome in tumorigenesis, prognosis, and tumor immune microenvironment of intrahepatic cholangiocarcinoma: a multi-center cohort study.
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我们发现线粒体功能障碍调控 iCCA 中的异常代谢、氧化应激、免疫反应、凋亡和药物敏感性。鉴定出一个线粒体特征和两种基于线粒体的 iCCA 亚型,用于临床风险分层和免疫表型分析。
线粒体功能障碍已被证明在癌症生物学中发挥关键作用。然而,其在肝内胆管癌(iCCA)中的参与仍显著研究不足。
收集了温州医科大学附属第一医院(WMU)30对iCCA及癌旁组织的RNA测序数据。将WMU队列(n = 30)与公开的TCGA(n = 30)和GSE107943(n = 30)数据集整合,建立了一个多中心iCCA队列。我们将TCGA和GSE107943队列合并为一个探索队列,以开发用于预后评估的线粒体特征,并利用WMU队列进行外部验证。采用基因本体(GO)、京都基因与基因组百科全书(KEGG)和Hallmarker分析对iCCA相关线粒体相关基因(MRGs)进行功能解读。此外,利用三个机构的数据进行无监督聚类,以识别基于线粒体的iCCA亚型。进一步研究了线粒体功能障碍对药物反应、肿瘤免疫微环境改变及免疫反应的影响。
共鉴定出263个与iCCA相关的MRGs,与脂肪酸代谢、氧化磷酸化和凋亡相关。通过单因素和多因素Cox分析以及LASSO分析,建立了一个包含五个最优MRGs的线粒体特征,用于评估iCCA患者的预后,在探索队列中AUC值为0.785至0.928。该特征在WMU队列中也表现出令人满意的性能,AUC值为0.817-0.871,并在两个队列中被确定为独立风险预测因子。此外,我们发现线粒体评分较高且预后较差的患者表现出较低的CD4 + T细胞、NK细胞和单核细胞浸润水平,并显示出对靶向治疗(包括sorafenib)更高的敏感性。进一步,确定了两个基于线粒体的远处亚型,亚型2与更短的生存时间和免疫抑制性肿瘤微环境相关。最后,通过免疫组织化学验证了五个关键MRGs的差异蛋白表达。
Mitochondrial dysfunction has been shown to play a critical role in cancer biology. However, its involvement in intrahepatic cholangiocarcinoma (iCCA) remains significantly understudied.
RNA sequencing data of 30 pairs of iCCA and paracancerous tissues were collected from the First Affiliated Hospital of Wenzhou Medical University (WMU). The WMU cohort (n = 30) was integrated with public TCGA (n = 30) and GSE107943 (n = 30) datasets to establish a multi-center iCCA cohort. We merged the TCGA and GSE107943 cohorts into an exploration cohort to develop a mitochondria signature for prognosis assessment, and utilized the WMU cohort for external validation. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Hallmarker analyses were used for functional interpretation of iCCA associated mitochondria-related genes (MRGs). In addition, unsupervised clustering was performed to identify mitochondria-based iCCA subtypes with the data of three institutions. Further investigations were conducted to examine the impact of mitochondrial dysfunction on drug responses, alteration of the tumor immune microenvironment, and immune responses.
Two hundred and sixty-three iCCA-related MRGs were identified to be related to fatty acid metabolism, oxidative phosphorylation, and apoptosis. Through univariate and multivariate Cox, and LASSO analyses, a mitochondria signature with five optimal MRGs was established to evaluate the prognosis of iCCA patients with the AUC values ranged from 0.785 to 0.928 in the exploration cohort. The signature also exhibited satisfactory performance in the WMU cohort with AUC values of 0.817-0.871, and was identified as an independent risk predictor in both cohorts. Additionally, we found that patients with higher mitochondria score with poor prognosis presented lower infiltration levels of CD4 + T-cell, NK cells, and monocytes, and demonstrated higher sensitivity to targeted therapies, including sorafenib. Furthermore, two distant mitochondria-based subtypes were determined, and subtype 2 was associated with shorter survival time and immunosuppressive tumor microenvironment. Finally, the differential protein expression of five key MRGs was verified by Immunohistochemistry.
We found mitochondrial dysfunction modulates aberrant metabolism, oxidative stress, immune responses, apoptosis, and drug sensitivity in iCCA. A mitochondria signature and two mitochondria-based iCCA subtypes were identified for clinical risk stratification and immunophenotyping.
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