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:Unraveling Crucial Mitochondria-Related Genes in the Transition from Ulcerative Colitis to Colorectal Cancer.
Unraveling Crucial Mitochondria-Related Genes in the Transition from Ulcerative Colitis to Colorectal Cancer.
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RDH13、HMGCS2 和 MAVS 可能成为 UCN 的诊断指标和潜在生物标志物。我们的研究有可能加深对 UC 癌变机制的理解。
通过生物信息学分析阐明线粒体相关差异表达基因(MTDEGs)在UC癌变中的意义,并为UC相关结直肠癌患者提供潜在治疗靶点。
利用GSE37283芯片数据,研究UC及UC伴瘤变(UCN)中的差异表达基因(DEGs)。通过将DEGs与人类线粒体基因取交集,鉴定出MTDEGs。运用LASSO和随机森林分析,我们确定了三个关键基因。随后,利用ROC曲线探究这三个关键基因的预测能力。接着,通过Real-time PCR在AOM/DSS小鼠模型中验证了这三个关键基因。最后,采用单样本基因集富集分析(ssGSEA)探讨UC癌变过程中核心基因与免疫细胞浸润的相关性。
三个已识别的枢纽MTDEGs(HMGCS2、MAVS、RDH13)可能在UC向UCN转变过程中表现出显著的诊断特异性。实时PCR检测进一步证实,与UC小鼠相比,UCN小鼠中HMGCS2和RDH13的表达显著下调。ssGSEA分析显示,这些枢纽基因与CD56dimNK 细胞高度相关。
To clarify the significance of mitochondria-related differentially expressed genes (MTDEGs) in UC carcinogenesis through a bioinformatics analysis and provide potential therapeutic targets for patients with UC associated colorectal cancer.
Microarray GSE37283 was utilized to investigate differentially expressed genes (DEGs) in UC and UC with neoplasia (UCN). MTDEGs were identified by intersecting DEGs with human mitochondrial genes. Utilizing LASSO and random forest analyses, we identified three crucial genes. Subsequently, using ROC curve to investigate the predictive ability of three key genes. Following, three key genes were confirmed in AOM/DSS mice model by Real-time PCR. Finally, single-sample gene set enrichment analysis (ssGSEA) was employed to explore the correlation between the hub genes and immune cells infiltration in UC carcinogenesis.
The three identified hub MTDEGs (HMGCS2, MAVS, RDH13) may exhibit significant diagnostic specificity in the transition from UC to UCN. Real-time PCR assay further confirmed that the expressions of HMGCS2 and RDH13 were significantly downregulated in UCN mice than that in UC mice. ssGSEA analysis revealed the hub genes were highly associated with CD56dim natural killer cells.
RDH13, HMGCS2, and MAVS may become diagnostic indicators and potential biomarkers for UCN. Our research has the potential to enhance our understanding of the mechanisms underlying carcinogenesis in UC.
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