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:Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures.
Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures.
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影像组学有潜力将 TME 免疫表型与 HCC 预后联系起来。
采用微环境细胞群计数算法,分析来自基因表达综合数据库和癌症基因组图谱数据库的5个队列(734例HCC患者)的转录组数据。通过加权基因共表达网络分析和LASSO-Cox回归鉴定NK细胞相关预后生物标志物。使用癌症影像档案和上海东方医院3个数据集中的239例患者CT影像特征建立影像组学模型。通过整合遗传生物标志物和影像组学模型,提出HCC影像基因组学亚型。
CD2表达被鉴定为独立的NK细胞相关预后生物标志物,对预后具有正向影响,并与HCC中NK细胞相关生物过程高度相关。我们构建了稳健的影像组学模型;将CD2表达与影像组学评分结合,识别出潜在HCC影像基因组学亚型。
影像组学有望将TME免疫表型与HCC预后相关联。CD2是连接NK细胞与影像组学特征的关键生物标志物,可将HCC划分为新的影像基因组学亚型。该方法支持在HCC个体化治疗中应用影像基因组学。
Transcriptomic data from five cohorts (734 HCC patients) from the Gene Expression Omnibus and The Cancer Genome Atlas databases were analyzed using the Microenvironment Cell Populations-counter algorithm. NK cell-related prognostic biomarkers were identified via weighted gene co-expression network analysis and LASSO-Cox regression. Radiomics models were established using CT imaging features from 239 patients in three datasets from The Cancer Imaging Archive and Shanghai East Hospital. HCC radiogenomic subtypes were proposed by integrating genetic biomarkers and radiomics models.
CD2 expression was identified as an independent NK cell-related prognostic biomarker, with a positive impact on prognosis and a strong correlation with NK cell-associated biological processes in HCC. A robust radiomics model was constructed, and the integration of CD2 expression with radioscore identified potential radiogenomic subtypes of HCC.
Radiomics has potential to link TME immune phenotypes with HCC prognosis. CD2 is a key biomarker connecting NK cells with radiomic features, offering a new classification of HCC into radiogenomic subtypes. This approach supports the use of radiogenomics in personalized HCC treatment.
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