Li Hua, Chen Jingying, Liu Zhengxian, Pan Lujuan, Lan Xiaoling, Jiang Lihe, Huang Fuda
Department of General Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18 Zhongshan 2nd Road, Baise, Guangxi, 533000, China.
Key Laboratory of Tumor Molecular Pathology of Baise, Baise, Guangxi, China.
BMC Cancer. 2024 Dec 18;24(1):1532. doi: 10.1186/s12885-024-13315-1.
Colon cancer (CC) is a leading cause of cancer-related mortality worldwide. Accurate prognostic markers are essential for patient risk stratification and personalized treatment. Copper-induced cell-death-related genes (CRG) have emerged as potential players in cancer prognosis, yet their role in CC remains unclear.
This study aimed to comprehensively evaluate the expression of CRG and their roles in CC using gene expression and clinical data from TCGA and GEO databases. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analyses identified prognostic genes, leading to the construction of a CRG prognostic signature. The signature's predictive accuracy was validated using Kaplan-Meier survival curves, Receiver Operating Characteristic (ROC) curves, and a nomogram model. Additionally, we conducted experiments including immunofluorescence staining and cellular assays to validate the key genes' biological functions.
A 12-gene CRG signature was significantly associated with overall survival in CC patients. The high-risk group, as classified by median risk score, exhibited significantly shorter survival times compared to the low-risk group. The signature's predictive accuracy was further confirmed with Area Under the Curve (AUC) scores exceeding 0.75 in TCGA and GSE17536 cohorts. Notably, the risk score was significantly correlated with immune checkpoints, chemotherapy sensitivity, and tumor microenvironment. Furthermore, the risk score showed a strong association with immunotherapy response in patients from GSE78220 and GSE39688 cohorts. Bioinformatics analysis of KIF7, a key gene within the signature, revealed its upregulation in CC and significant associations with tumor mutation burden, microsatellite instability, and immune cell infiltration across various cancers. Experiments confirmed that KIF7 was upregulated in CC and its knockdown reduced cell proliferation, migration, and invasion.
The CRG prognostic signature can effectively predict overall survival, immune microenvironment and chemotherapy response in CC. KIF7, as a potential prognostic marker, has significant potential for the prediction and treatment of CC.
结肠癌(CC)是全球癌症相关死亡的主要原因。准确的预后标志物对于患者风险分层和个性化治疗至关重要。铜诱导的细胞死亡相关基因(CRG)已成为癌症预后的潜在影响因素,但其在CC中的作用仍不清楚。
本研究旨在利用来自TCGA和GEO数据库的基因表达和临床数据,全面评估CRG在CC中的表达及其作用。单因素Cox回归和最小绝对收缩和选择算子(LASSO)分析确定了预后基因,从而构建了CRG预后特征。使用Kaplan-Meier生存曲线、受试者工作特征(ROC)曲线和列线图模型验证了该特征的预测准确性。此外,我们进行了包括免疫荧光染色和细胞试验在内的实验,以验证关键基因的生物学功能。
一个由12个基因组成的CRG特征与CC患者的总生存期显著相关。根据中位风险评分分类的高危组与低危组相比,生存期明显更短。在TCGA和GSE17536队列中,曲线下面积(AUC)得分超过0.75,进一步证实了该特征的预测准确性。值得注意的是,风险评分与免疫检查点、化疗敏感性和肿瘤微环境显著相关。此外,在GSE78220和GSE39688队列的患者中,风险评分与免疫治疗反应密切相关。对该特征中的关键基因KIF7进行生物信息学分析,发现其在CC中上调,并且与各种癌症的肿瘤突变负担、微卫星不稳定性和免疫细胞浸润显著相关。实验证实,KIF7在CC中上调,其敲低可降低细胞增殖、迁移和侵袭。
CRG预后特征可以有效地预测CC的总生存期、免疫微环境和化疗反应。KIF7作为一种潜在的预后标志物,在CC的预测和治疗方面具有巨大潜力。