Department of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China.
Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Aging (Albany NY). 2023 Jul 13;15(13):6400-6428. doi: 10.18632/aging.204859.
Tumour-dependent genes identified in CRISPR-Cas9 screens have been widely reported in Cancer Dependency Maps (CDMs). CDM-derived tumour-dependent genes play an important role in tumorigenesis and progression; however, they have not been investigated in colon cancer (CC).
CDM genes overexpressed in CC were identified from the TCGA-COAD dataset and CDM platform. A CDM signature and prognostic nomogram were constructed by Lasso Cox regression and multivariate Cox analyses. A weighted correlation network analysis (WGCNA) and consensus clustering were used to define coexpressed genes with CDM risk scores and to determine two new immune subtypes. A comprehensive investigation was performed between the two subtypes and immune regulation, the immune microenvironment and the impact of immunotherapy.
First, 1304 overexpressed CDM genes were identified. Then, a CDM signature with five cancer-dependent genes ( and ) and a prognostic nomogram were constructed, and they demonstrated robust predictive performance and a close relationship with clinical characteristics in different CC datasets. Patients with high CDM risk scores showed worse survival outcome and weaker response to chemotherapy. Additionally, genes were oncogenes that affected the CC cell cycle, according to cell functional experiments that involved the suppression of the gene. Furthermore, WGCNA and consensus clustering were used to define coexpressed genes with CDM risk scores and to determine two new immune subtypes. Finally, systematic investigations were conducted with the relationship between the CDM subtypes and immune regulation.
This study constructed a CDM signature consisting of five risk genes that predict survival in CC patients. In addition, the immune subtypes provided valuable insights into immunotherapy for CC patients. , as an oncogene, is independent prognostic factors for CC, and contributes to CC progression.
CRISPR-Cas9 筛选中鉴定的肿瘤依赖性基因已在癌症依赖性图谱 (CDM) 中广泛报道。CDM 衍生的肿瘤依赖性基因在肿瘤发生和进展中起重要作用;然而,它们在结肠癌 (CC) 中尚未得到研究。
从 TCGA-COAD 数据集和 CDM 平台中鉴定出在 CC 中过表达的 CDM 基因。通过 Lasso Cox 回归和多变量 Cox 分析构建 CDM 特征和预后列线图。使用加权相关网络分析 (WGCNA) 和共识聚类来定义与 CDM 风险评分相关的共表达基因,并确定两种新的免疫亚型。对两种亚型进行了全面的研究,包括免疫调节、免疫微环境和免疫治疗的影响。
首先,鉴定出 1304 个过表达的 CDM 基因。然后,构建了一个包含五个癌症依赖性基因 (和) 的 CDM 特征和预后列线图,它们在不同的 CC 数据集具有稳健的预测性能,并与临床特征密切相关。具有高 CDM 风险评分的患者生存结局较差,对化疗的反应较弱。此外,根据涉及抑制基因的 CC 细胞周期的细胞功能实验,基因是影响 CC 细胞周期的致癌基因。此外,使用 WGCNA 和共识聚类来定义与 CDM 风险评分相关的共表达基因,并确定两种新的免疫亚型。最后,对 CDM 亚型与免疫调节之间的关系进行了系统的研究。
本研究构建了一个由五个风险基因组成的 CDM 特征,可预测 CC 患者的生存情况。此外,免疫亚型为 CC 患者的免疫治疗提供了有价值的见解。作为一个致癌基因,是 CC 的独立预后因素,并促进 CC 的进展。