Department of Traditional Chinese Medicine (TCM) Geriatrics, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Translational Medicine Department, GeneScience Pharmaceuticals Co. Ltd., Changchun, China.
Front Immunol. 2022 Dec 2;13:1052182. doi: 10.3389/fimmu.2022.1052182. eCollection 2022.
Colon adenocarcinoma (COAD) is a fatal disease, and its cases are constantly increasing worldwide. Further, the therapeutic and management strategies for patients with COAD are still unsatisfactory due to the lack of accurate patient classification and prognostic models. Therefore, our study aims to identify prognostic markers in patients with COAD and construct a cell subtype-specific prognostic model with high accuracy and robustness.
Single-cell transcriptomic data of six samples were retrieved from the Gene expression omnibus (GEO) database. The cluster annotation and cell-cell communication analysis identified enterocytes as a key player mediating signal communication networks. A four-gene signature prognostic model was constructed based on the enterocyte-related differentially expressed genes (ERDEGs) in patients with COAD of the Cancer Genome Atlas cohort. The prognostic model was validated on three external validation cohorts from the GEO database. The correlation between immune cell infiltration, immunotherapy response, drug sensitivity, and the four-gene signature prognostic model was investigated. Finally, immunohistochemistry (IHC) was performed to determine the expression of the four genes.
We found that the proportion of epithelial cells was obviously large in COAD samples. Further analysis of epithelial cells showed that the activity of the enterocytes was highest in the cell-cell communication network. Based on enterocyte data, 30 ERDEGs were identified and a 4-gene prognostic model including , , , and was developed and validated. The risk score derived from this model was considered as an independent variable factor to predict overall survival. The patients were divided into high- and low-risk groups based on the median riskscore value. The correlation between immune cell infiltration, immunotherapy response, immune status, clinical characteristics, drug sensitivity, and risk score was analyzed. IHC confirmed the expression of signature genes in tissues from normal individuals, patients with polyps, and COAD.
In this study, we constructed and validated a novel four-gene signature prognostic model, which could effectively predict the response to immunotherapy and overall survival in patients with COAD. More importantly, this model provides useful insight into the management of colon cancer patients and aids in designing personalized therapy.
结肠腺癌(COAD)是一种致命的疾病,其病例在全球范围内不断增加。此外,由于缺乏准确的患者分类和预后模型,COAD 患者的治疗和管理策略仍然不尽人意。因此,我们的研究旨在确定 COAD 患者的预后标志物,并构建一个具有高精度和稳健性的细胞亚型特异性预后模型。
从基因表达综合(GEO)数据库中检索了六个样本的单细胞转录组数据。通过聚类注释和细胞间通信分析,发现肠细胞是介导信号通信网络的关键参与者。基于癌症基因组图谱队列中 COAD 患者的肠细胞相关差异表达基因(ERDEGs)构建了一个四基因签名预后模型。在 GEO 数据库的三个外部验证队列中验证了该预后模型。研究了免疫细胞浸润、免疫治疗反应、药物敏感性与四基因签名预后模型的相关性。最后,进行免疫组织化学(IHC)以确定四个基因的表达。
我们发现 COAD 样本中上皮细胞的比例明显较大。对上皮细胞的进一步分析表明,在细胞间通信网络中肠细胞的活性最高。基于肠细胞数据,鉴定出 30 个 ERDEGs,并开发和验证了一个包括 、 、 、 在内的四基因预后模型。该模型得出的风险评分被视为独立变量因素,以预测总生存期。根据风险评分中位数将患者分为高风险组和低风险组。分析了免疫细胞浸润、免疫治疗反应、免疫状态、临床特征、药物敏感性和风险评分之间的相关性。IHC 证实了签名基因在正常个体、息肉患者和 COAD 组织中的表达。
在这项研究中,我们构建并验证了一个新的四基因签名预后模型,该模型可以有效地预测 COAD 患者对免疫治疗和总生存期的反应。更重要的是,该模型为结肠癌患者的管理提供了有用的见解,并有助于设计个性化治疗方案。