Zhao Da, Wang Lizhuang, Chen Zheng, Zhang Lijun, Xu Lei
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
School of food and drug, Shenzhen Polytechnic, Shenzhen, China.
Front Genet. 2022 Oct 18;13:1024920. doi: 10.3389/fgene.2022.1024920. eCollection 2022.
encodes K-Ras proteins, which take part in the MAPK pathway. The expression level of KRAS is high in tumor patients. Our study compared expression levels between 33 kinds of tumor tissues. Additionally, we studied the association of expression levels with diagnostic and prognostic values, clinicopathological features, and tumor immunity. We established 22 immune-infiltrating cell expression datasets to calculate immune and stromal scores to evaluate the tumor microenvironment. genes, immune check-point genes and interacting genes were selected to construct the PPI network. We selected 79 immune checkpoint genes and interacting related genes to calculate the correlation. Based on the 33 tumor expression datasets, we conducted GSEA (genome set enrichment analysis) to show the and other co-expressed genes associated with cancers. may be a reliable prognostic biomarker in the diagnosis of cancer patients and has the potential to be included in cancer-targeted drugs.
编码参与MAPK途径的K-Ras蛋白。KRAS在肿瘤患者中的表达水平较高。我们的研究比较了33种肿瘤组织之间的表达水平。此外,我们研究了表达水平与诊断和预后价值、临床病理特征以及肿瘤免疫的关联。我们建立了22个免疫浸润细胞表达数据集来计算免疫和基质评分,以评估肿瘤微环境。选择基因、免疫检查点基因和相互作用基因来构建蛋白质-蛋白质相互作用(PPI)网络。我们选择79个免疫检查点基因和相互作用相关基因来计算相关性。基于这33个肿瘤表达数据集,我们进行了基因集富集分析(GSEA)以展示与癌症相关的基因及其他共表达基因。在癌症患者的诊断中可能是一个可靠的预后生物标志物,并且有潜力被纳入癌症靶向药物中。