探讨 TopBP1 相互作用检查点和复制调节因子 (TICRR) 在肺腺癌 (LUAD) 患者肿瘤发生和预后中的作用。利用 Wilcoxon 符号秩检验和逻辑回归分析 TCGA 数据集中的 LUAD 中 TICRR 表达与临床特征之间的关系。 Kaplan-Meier 图和 Cox 回归用于评估 TICRR 对预后的影响。生成 ROC 曲线和列线图以进一步评估 TICRR 表达与 LUAD 风险之间的关系。在 TCGA 数据集上进行基因集富集分析 (GSEA)，并采用 ssGSEA 研究 TICRR 与免疫浸润之间的关联。结果显示，TICRR高表达与性别、年龄、病理分期、T分期、N分期、M分期、主要治疗结果和吸烟状况等多种临床因素显着相关。 ROC 曲线还表明 TICRR 是 LUAD 患者分子病理学诊断的有前途的生物标志物 (AUC = 0.952)。使用基因本体（GO）术语富集和 GSEA 的进一步分析揭示了 TICRR 表达与细胞分裂之间的异常相关性。有趣的是，ssGSEA分析表明TICRR表达与多种免疫细胞类型相关，例如Th2细胞、TFH细胞、肥大细胞、iDC、嗜酸性粒细胞和树突状细胞。最后，KM 绘图仪表明 TICRR 高表达的 LUAD 患者预期寿命较差 (P < .001)。 TICRR 已被证明是预测 LUAD 患者疾病进展和预后的宝贵工具，从而确立了其作为预测 LUAD 患者总生存 (OS) 的合适生物标志物的地位。版权所有 © 2024 作者。由 Wolters Kluwer Health, Inc. 出版

To investigate the role of TopBP1-interacting checkpoint and replication regulator (TICRR) in the tumorigenesis and prognosis of lung adenocarcinoma (LUAD) patients. Wilcoxon signed-rank test and logistic regression were utilized to analyze the relationship between clinical characteristics and TICRR expression in LUAD from TCGA dataset. Kaplan-Meier plots and Cox regressions were used to assess the impact of TICRR impact on prognosis. ROC curves and nomograms were generated to further evaluate the relationship between TICRR expression and the risk of LUAD. Gene set enrichment analysis (GSEA) was conducted on TCGA dataset, and ssGSEA was employed to investigate the association between TICRR and immune infiltrates. The results showed that high TICRR expression was significantly associated with various clinical factors including gender, age, pathological stage, T stage, N stage, M stage, outcome of primary therapy and smoking status. ROC curves also demonstrated that TICRR was a promising biomarker for molecular pathology diagnosis in LUAD patients (AUC = 0.952). Further analysis using gene ontology (GO) term enrichment and GSEA revealed an abnormal correlation between TICRR expression and cell division. Interestingly, ssGSEA analysis showed that TICRR expression correlated with multiple immune cell types, such as Th2 cell, TFH cell, mast cell, iDC, eosinophils, and dendritic cell. Lastly, the KM-plotters indicated that LUAD patients with high TICRR expression obtained worse life expectancy (P < .001). TICRR has proven to be a valuable tool in predicting disease progression and prognosis in patients with LUAD, thereby establishing itself as a fitting biomarker for forecasting overall survival (OS) of LUAD patients.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.