作为结直肠癌的一种新型免疫治疗候选物:通过全基因组关联研究(GWAS)、表达数量性状基因座(eQTL)和蛋白质数量性状基因座(pQTL)剖析遗传风险和免疫格局。
as a Novel Immunotherapeutic Candidate in Colorectal Cancer: Dissecting Genetic Risk and the Immune Landscape via GWAS, eQTL, and pQTL.
作者信息
Tian Ting, Han Huan, Huang Jingtao, Ma Jun'e, Ran Ruoxi
机构信息
Department of Clinical Laboratory, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430070, China.
Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
出版信息
Biomedicines. 2025 May 4;13(5):1115. doi: 10.3390/biomedicines13051115.
Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Identifying drug targets associated with CRC is crucial for developing targeted therapies. MR (IVW, Wald ratio, weighted median, and MR-Egger) and SMR analyses were used to screen candidate genes associated with CRC risk. Further validation was performed using The Cancer Genome Atlas (TCGA) to assess gene expression patterns and prognostic significance. Additionally, immune infiltration analysis was conducted to characterize the tumor immune microenvironment. Drug prediction was performed to explore potential therapeutic interventions. Eight genes were identified associated with CRC. , , , , , and were linked to an increased risk of CRC, whereas and were associated with a decreased risk of CRC. Notably, DBI exhibited a potentially favorable immune profile, negatively correlated with Tregs and MDSCs while positively associated with activated CD8 and CD4 T cells. Eight genes were identified as associated with CRC, among which exhibited a potential protective role, correlating with improved patient survival, enhanced immune activation, and increased responsiveness to immunotherapy. The remaining proteins demonstrated diverse and complex functions within the tumor immune microenvironment, providing novel insights for the development of precision diagnostics and immunotherapeutic strategies.
结直肠癌(CRC)是全球癌症相关死亡的主要原因。确定与CRC相关的药物靶点对于开发靶向治疗至关重要。采用孟德尔随机化(MR,包括逆方差加权法、Wald比值法、加权中位数法和MR-Egger法)和汇总孟德尔随机化(SMR)分析来筛选与CRC风险相关的候选基因。使用癌症基因组图谱(TCGA)进行进一步验证,以评估基因表达模式和预后意义。此外,进行免疫浸润分析以表征肿瘤免疫微环境。进行药物预测以探索潜在的治疗干预措施。确定了8个与CRC相关的基因。 、 、 、 、 、 与CRC风险增加相关,而 和 与CRC风险降低相关。值得注意的是,DBI表现出潜在的有利免疫特征,与调节性T细胞(Tregs)和骨髓来源的抑制细胞(MDSCs)呈负相关,而与活化的CD8和CD4 T细胞呈正相关。确定了8个与CRC相关的基因,其中 具有潜在的保护作用,与患者生存率提高、免疫激活增强和对免疫治疗的反应性增加相关。其余蛋白质在肿瘤免疫微环境中表现出多样而复杂的功能,为精准诊断和免疫治疗策略的开发提供了新的见解。