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.
肿瘤细胞治疗研究
英文原题:Identification of key immune genes related to lymphatic metastasis of papillary thyroid cancer via bioinformatics analysis and experimental validation.
Identification of key immune genes related to lymphatic metastasis of papillary thyroid cancer via bioinformatics analysis and experimental validation.
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通过生物信息学分析和实验验证,发现 MET 和 ICAM1 在甲状腺乳头状癌淋巴结转移中表达上调。此外,这两个枢纽基因与活化的 NK 细胞、单核细胞、静息树突状细胞和嗜酸性粒细胞密切相关。因此,这两个基因可能成为甲状腺乳头状癌淋巴结转移的新型分子生物标志物和治疗靶点。
本研究旨在开发并验证甲状腺乳头状癌(PTC)淋巴转移的特征性免疫基因。
采用加权基因共表达网络分析(WGCNA)从TCGA数据库中鉴定与PTC淋巴转移密切相关的基因。免疫相关基因(IRGs)信息来自ImmPort数据库。交叉基因使用R包clusterProfiler进行基因本体和京都基因与基因组百科全书富集分析。利用Cytoscape获取交叉靶点蛋白-蛋白相互作用网络中的关键基因。采用Lasso和随机森林(RF)模型鉴定枢纽基因。我们基于枢纽基因构建了列线图。探讨了枢纽基因与免疫细胞浸润之间的相关性。我们收集临床样本并通过免疫组化评估枢纽基因的表达。
共有122个IRGs与PTC的淋巴转移相关。蛋白质-蛋白质相互作用网络中有10个关键IRGs。随后,使用LASSO和RF模型建立了包括PTGS2、MET和ICAM1在内的三个hub基因。这些hub基因在淋巴转移患者的样本中表达上调。经过10折和200次交叉验证后,模型的平均曲线下面积达到0.83,具有良好的预测能力。免疫浸润分析显示,这三个hub基因与静息树突状细胞显著正相关,与活化自然细胞、单核细胞和嗜酸性粒细胞负相关。免疫组化结果显示,淋巴结转移样本中这三个hub基因的表达高于非转移样本。
The current research aimed to development and validation in signature immune genes for lymphatic metastasis in papillary thyroid cancer (PTC). METHOD: Weighted correlation network analysis (WGCNA) was performed to identify genes closely correlated with lymphatic metastasis in PTC from TCGA database. Information on immune-related genes (IRGs) was obtained from the ImmPort database. Crossover genes were used with the R package clusterProfiler for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment. Key genes in the protein-protein interaction network of cross-targets were obtained using Cytoscape. Lasso and Random Forest (RF) models were utilized to identify pivotal genes. We constructed a nomogram based on the hub genes. The correlation between hub genes and immune cell infiltration was explored. We collected and assessed clinical samples via immunohistochemistry to detect the expression of hub genes. RESULT: In total, 122 IRGs were correlated with lymphatic metastases from PTC. There are 10 key IRGs in the protein-protein interaction network. Then, three hub genes including PTGS2, MET, and ICAM1 were established using the LASSO and RF models. The expression of these hub genes was upregulated in samples collected from patients with lymphatic metastases. The average area under the curve of the model reached 0.83 after a 10-fold and 200-time cross-validation, which had a good prediction ability. Immuno-infiltration analysis showed that the three hub genes were significantly positively correlated with resting dendritic cells and were negatively correlated with activated natural cells, monocytes, and eosinophils. Immunohistochemistry results revealed that lymph node metastasis samples had a higher expression of the three hub genes than non-metastasis samples.
Via bioinformatics analysis and experimental validation, MET and ICAM1 were found to be upregulated in lymph node metastasis from papillary thyroid carcinoma. Further, the two hub genes were closely correlated with activated natural killer cells, monocytes, resting dendritic cells, and eosinophils. Therefore, these two genes may be novel molecular biomarkers and therapeutic targets in lymph node metastasis from papillary thyroid carcinoma.
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