Luo Simin, Zhu Yuhong, Guo Zhanli, Zheng Chuan, Fu Xi, You Fengming, Li Xueke
Traditional Chinese Medicine Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China.
Oncology Teaching and Research Department, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China.
Sci Rep. 2025 Feb 3;15(1):4086. doi: 10.1038/s41598-025-88520-4.
Type 2 diabetes mellitus (T2DM) has been confirmed as an independent risk factor for colorectal cancer (CRC) in many studies. However, the mechanisms behind T2DM's role in the progression of CRC remain unclear. This study aims to explore the potential biomarkers and molecular mechanisms involved in T2DM-promoted CRC progression. The limma package was used to identify differentially expressed genes in tumor tissue from CRC patients with or without T2DM. The key biological processes were screened by gene ontology and gene set enrichment analysis. A diagnostic model for co-morbidities was constructed by logistic regression model with least absolute shrinkage and selection operator (Lasso) regularization method. The diagnostic performance was assessed by supplementing external datasets to draw ROC curves on the diagnostic model. The diagnostic model was further screened for key genes by prognostic analysis. The relationship of key genes with immune cells and other cells was evaluated by immune infiltration algorithm and single-cell transcription analysis. Drug prediction was performed by cMAP and the obtained drugs were molecularly docked with the key genes. The differentially expressed genes of T2DM-promoted CRC progression were mainly enriched to O-linked glycosylation-related processes. The diagnostic model constructed based on Lasso logistic regression had good diagnostic performance (AUC > 0.8). COX11 was the key gene for co-morbidities: in tumor tissues, COX11 expression was significantly higher than that in normal colon tissues. However, COX11 gene expression was significantly lower in patients with comorbidities than in patients without T2DM in tumor tissue. External datasets confirmed from both mRNA and protein expression levels that low COX11 expression was significantly associated with poor CRC prognosis. Immune infiltration analysis suggested that its expression related to the proportion of M2 macrophages. Single-cell transcriptome analysis revealed a close association of COX11 expression with endothelial cells and macrophages. The top4 drugs predicted bound well to COX11. Our study revealed that the pathogenesis of T2DM-promoted CRC progression related to O-linked glycosylation. We constructed a diagnostic model for T2DM-CRC co-morbidity. Meanwhile, we identified COX11 as a potential immune-related molecular marker closely associated with T2DM-promoted CRC progression. These mechanisms and molecular markers may provide new ideas for further studies of T2DM-promoted CRC progression and contribute to drug discovery for the treatment of co-morbidities.
多项研究已证实2型糖尿病(T2DM)是结直肠癌(CRC)的独立危险因素。然而,T2DM在CRC进展中作用的潜在机制仍不清楚。本研究旨在探索参与T2DM促进CRC进展的潜在生物标志物和分子机制。利用limma软件包鉴定患有或未患有T2DM的CRC患者肿瘤组织中的差异表达基因。通过基因本体论和基因集富集分析筛选关键生物学过程。采用最小绝对收缩和选择算子(Lasso)正则化方法的逻辑回归模型构建共病诊断模型。通过补充外部数据集以绘制诊断模型的ROC曲线来评估诊断性能。通过预后分析进一步筛选诊断模型中的关键基因。利用免疫浸润算法和单细胞转录分析评估关键基因与免疫细胞及其他细胞的关系。通过cMAP进行药物预测,并将获得的药物与关键基因进行分子对接。T2DM促进CRC进展的差异表达基因主要富集于O-连接糖基化相关过程。基于Lasso逻辑回归构建的诊断模型具有良好的诊断性能(AUC>0.8)。COX11是共病的关键基因:在肿瘤组织中,COX11表达显著高于正常结肠组织。然而,在肿瘤组织中,合并症患者的COX11基因表达显著低于无T2DM患者。外部数据集从mRNA和蛋白质表达水平均证实,低COX11表达与CRC预后不良显著相关。免疫浸润分析表明其表达与M2巨噬细胞比例相关。单细胞转录组分析显示COX11表达与内皮细胞和巨噬细胞密切相关。预测的前4种药物与COX11结合良好。我们的研究表明,T2DM促进CRC进展的发病机制与O-连接糖基化有关。我们构建了T2DM-CRC共病的诊断模型。同时,我们确定COX11是一种潜在的免疫相关分子标志物,与T2DM促进的CRC进展密切相关。这些机制和分子标志物可能为进一步研究T2DM促进的CRC进展提供新思路,并有助于发现治疗共病的药物。