Zhao Zheng, Chen Mingkai, Sun Kuanxue, Gu Xinqi
Deparment of General Surgery, Gongli Hospital, Pudong New Area, Shanghai, China.
Deparment of Gastroenterlogy, Zhengzhou Yihe Hospital, Zhengzhou, China.
Heliyon. 2024 Sep 19;10(19):e37998. doi: 10.1016/j.heliyon.2024.e37998. eCollection 2024 Oct 15.
T cell-mediated immunity plays a crucial role in the immune response against tumors, with CD 8+ T cells playing a leading role in the eradication of cancer cells.
A total of 5 datasets were included in this study. Single cell transcriptome data were used to discover CD8 T cell marker genes, and Bulk transcriptome data from TCGA and GEO were jointly analyzed to screen candidate prognostic genes. lasso regression was performed to construct prognostic models. Immunotherapy cohort (IMvigor 210 and GSE78220) was applied to validate the diagnostic power of markers.
Single-cell transcriptome data identified 65 CD8 T cell marker genes, highlighting their importance in T cell-mediated immune responses. Among these, 11 genes were identified as CD8 T-associated differential genes through analysis of bulk data from TCGA and GEO. A prognostic model for 5 genes was identified based on Lasso regression, dividing colon adenocarcinoma (COAD) patients into high- and low-risk groups. This model exhibited higher prognostic accuracy compared to traditional clinicopathological characteristics (age, pathological stage, histological grading). Moreover, the risk score derived from this model successfully differentiated patient responses to immunotherapy, as validated in the IMvigor 210 and GSE78220 cohorts.
Our research introduces a novel prognostic signature based on CD8 T cell marker genes, demonstrating significant predictive power for prognosis and immunotherapy response in COAD patients. This model offers a potential tool for improving patient stratification and personalizing treatment strategies.
T细胞介导的免疫在抗肿瘤免疫反应中起关键作用,其中CD8+T细胞在根除癌细胞中起主导作用。
本研究共纳入5个数据集。利用单细胞转录组数据发现CD8 T细胞标记基因,并联合分析来自TCGA和GEO的批量转录组数据以筛选候选预后基因。进行套索回归以构建预后模型。应用免疫治疗队列(IMvigor 210和GSE78220)验证标志物的诊断能力。
单细胞转录组数据鉴定出65个CD8 T细胞标记基因,突出了它们在T细胞介导的免疫反应中的重要性。其中,通过对来自TCGA和GEO的批量数据进行分析,确定了11个基因作为CD8 T相关差异基因。基于套索回归确定了一个由5个基因组成的预后模型,将结肠腺癌(COAD)患者分为高风险和低风险组。与传统临床病理特征(年龄、病理分期、组织学分级)相比,该模型具有更高的预后准确性。此外,在IMvigor 210和GSE78220队列中验证发现,该模型得出的风险评分成功区分了患者对免疫治疗的反应。
我们的研究引入了一种基于CD8 T细胞标记基因的新型预后特征,对COAD患者的预后和免疫治疗反应具有显著的预测能力。该模型为改善患者分层和个性化治疗策略提供了一个潜在工具。