The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
College of Life Science, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Funct Integr Genomics. 2023 Jun 24;23(3):209. doi: 10.1007/s10142-023-01102-3.
The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway has emerged as a critical innate immune pathway that could virtually impact nearly all aspects of tumorigenesis including colorectal cancer. This work aimed to develop and validate molecular subtypes related to cGAS-STING pathways for colorectal cancer using Bulk RNA-seq and single-cell RNA-seq (scRNA-seq) data. Bulk RNA-seq data were acquired from The Cancer Genome Atlas dataset (training dataset) and Gene Expression Omnibus dataset (validation dataset). Univariate COX survival analysis was utilized to identify prognostic differentially expressed genes (DEGs) from 6 immune pathways related to cGAS-STING. ConsensusClusterPlus package was used to classify different subtypes based on DEGs. scRNA-seq data were used to validate differences in immune status between different subtypes. Two clusters with distinct prognosis were identified based on 27 DEGs. The six cGAS-STING-related pathways had different levels of significance between the two clusters. Clust1 had most number of amplified CNVs and clust2 had the most number of loss CNVs. TP53 was the top mutated gene of which missense mutations contributed the most of single-nucleotide variants. Immune score of clust1 was higher than that in clust2, as reflected in macrophages, T cells, and natural killer cells. Three unfavorable genes and 31 protection factors were screened between the two clusters in three datasets. ScRNA-seq data analysis demonstrated that macrophages were more enriched in clust1, and tumor cells and immune cells had close interaction. We classified two distinct subtypes with different prognosis, mutation landscape, and immune characteristics.
环鸟苷酸-腺苷酸合酶 (cGAS)-干扰素基因刺激物 (STING) 途径已成为一种关键的先天免疫途径,几乎可以影响肿瘤发生的几乎所有方面,包括结直肠癌。本研究旨在使用 Bulk RNA-seq 和单细胞 RNA-seq(scRNA-seq) 数据开发和验证与 cGAS-STING 途径相关的结直肠癌分子亚型。Bulk RNA-seq 数据来自癌症基因组图谱数据集(训练数据集)和基因表达综合数据库(验证数据集)。单变量 COX 生存分析用于从 6 个与 cGAS-STING 相关的免疫途径中识别预后差异表达基因 (DEGs)。ConsensusClusterPlus 包用于根据 DEG 对不同亚型进行分类。scRNA-seq 数据用于验证不同亚型之间免疫状态的差异。基于 27 个 DEG 鉴定了具有不同预后的两个簇。在两个簇之间,六个 cGAS-STING 相关途径具有不同的显著性水平。Clust1 具有最多数量的扩增 CNV,而 clust2 具有最多数量的缺失 CNV。TP53 是突变基因最多的基因,其中错义突变在单核苷酸变异中占比最多。clust1 的免疫评分高于 clust2,反映在巨噬细胞、T 细胞和自然杀伤细胞中。在三个数据集之间,两个簇之间筛选出 3 个不利基因和 31 个保护因素。scRNA-seq 数据分析表明,clust1 中巨噬细胞更为丰富,肿瘤细胞和免疫细胞之间存在密切相互作用。我们对两种不同的预后、突变图谱和免疫特征的亚型进行了分类。