利用生物信息学方法筛选与宫颈癌发生、发展和预后相关的血管生成相关基因(angiogenesis related gene,ARG),并进行相关预后风险模型的构建与验证。首先,从TCGA数据库中检索宫颈癌患者的表达谱和临床特征,并提取差异表达的ARG;其次,采用...利用生物信息学方法筛选与宫颈癌发生、发展和预后相关的血管生成相关基因(angiogenesis related gene,ARG),并进行相关预后风险模型的构建与验证。首先,从TCGA数据库中检索宫颈癌患者的表达谱和临床特征,并提取差异表达的ARG;其次,采用Lasso Cox回归筛选预后ARG,构建相关预后模型;再次,使用GSE52903和GSE44001数据集进行外部验证;最后,利用基因集富集分析(gene set enrichment analysis,GSEA)探讨宫颈癌预后机制。筛选结果显示,共获得15个预后ARG,分别为EFNA1、ITGA5、EPHB4、NRP1、CDH5、PLAU、BMP6、DLL4、JUN、CA9、MMP1、BAIAP2L1、SERPINF1、F2RL1和FGFR2。GSE52903和GSE44001数据集的Kaplan-Meier生存曲线显示,高风险组的总生存期(overall survival,OS)(P=0.005)和无病生存期(disease-free survival,DFS)(P<0.001)显著低于低风险组。受试者操作特征(receiver operating characteristic,ROC)曲线分析结果显示,GSE52903验证集在1年、3年和5年的曲线下面积(area under the curve,AUC)值分别为0.84、0.77和0.73,C-指数为0.72;GSE44001验证集在1年、3年和5年的AUC值分别为0.71、0.72和0.70,C-指数为0.70,说明该模型对患者预后具有很强的预测效能。GSEA分析富集的通路主要涉及DNA复制、细胞外基质(extracellular matrix,ECM)受体相互作用、补体和凝血级联等,这些过程与宫颈癌发生、发展紧密相关。以上结果表明,这15个关键ARG可能是宫颈癌预后潜在的生物标志物。展开更多
宫颈癌(cervical cancer, CC)是女性常见的恶性肿瘤之一,临床病理学特征及发病相关影响因素的研究一直备受关注。本综述旨在梳理近年来关于CC患者临床病理学特征及发病相关影响因素的研究进展。我们系统地收集和分析了相关的文献资料,...宫颈癌(cervical cancer, CC)是女性常见的恶性肿瘤之一,临床病理学特征及发病相关影响因素的研究一直备受关注。本综述旨在梳理近年来关于CC患者临床病理学特征及发病相关影响因素的研究进展。我们系统地收集和分析了相关的文献资料,以总结最新的研究成果和趋势。在临床病理学特征方面,研究表明,CC患者常伴随有不同程度的细胞学改变、组织学类型和分级等。这些特征对于CC的诊断和治疗具有重要意义。此外,已经有研究探讨了其他病理学指标,如内膜侵袭深度、血管侵犯和淋巴结转移等,以评估CC的预后和生存率。关于发病相关影响因素的研究进展,许多因素被认为与CC的发生风险密切相关。其中包括人乳头瘤病毒(HPV)感染、遗传因素、性行为、生殖与生育因素以及免疫系统状态等。各因素之间的相互作用和复杂关系需要进一步深入研究,通过对CC的临床病理学特征及发病相关影响因素的研究进展进行综述,我们可以更好地了解CC的病理学特点和相关影响因素,并为CC的早期诊断、治疗和预防提供依据。未来的研究应该进一步明确这些特征和影响因素在不同人群中的差异,以及它们对个体风险评估和定制化的治疗方案的应用前景。Cervical cancer (CC) is one of the common malignant tumors in women, and the research on clinicopathological features and influencing factors related to its development has been attracting much attention. The aim of this review is to sort out the research progress in recent years on the clinicopathological features and pathogenesis-related influencing factors of CC patients. We systematically collected and analyzed relevant literature to summarize the latest research results and trends. In terms of clinicopathologic features, studies have shown that patients with CC are often accompanied by different degrees of cytologic changes, histologic types and grades. These features are important for the diagnosis and treatment of CC. In addition, studies have been conducted to explore other pathologic indicators, such as depth of endothelial invasion, vascular invasion, and lymph node metastasis, in order to assess the prognosis and survival rate of CC. Regarding the progress of research on pathogenesis-related influencing factors, many factors are thought to be closely associated with the risk of developing CC. These include human papillomavirus (HPV) infection, genetic factors, sexual behavior, reproductive and fertility factors, and immune system status. The interactions and complex relationships among these factors require further in-depth study. By reviewing the research progress on the clinicopathologic features of CC patients and the influencing factors related to the development of the disease, we can have a better understanding of the pathologic features of CC and the related influencing factors, as well as provide a basis for the early diagnosis, treatment, and prevention of CC. Future studies should further clarify the differences of these features and influencing factors in different populations, and the prospects of their application to individual risk assessment and customized treatment plans.展开更多
文摘利用生物信息学方法筛选与宫颈癌发生、发展和预后相关的血管生成相关基因(angiogenesis related gene,ARG),并进行相关预后风险模型的构建与验证。首先,从TCGA数据库中检索宫颈癌患者的表达谱和临床特征,并提取差异表达的ARG;其次,采用Lasso Cox回归筛选预后ARG,构建相关预后模型;再次,使用GSE52903和GSE44001数据集进行外部验证;最后,利用基因集富集分析(gene set enrichment analysis,GSEA)探讨宫颈癌预后机制。筛选结果显示,共获得15个预后ARG,分别为EFNA1、ITGA5、EPHB4、NRP1、CDH5、PLAU、BMP6、DLL4、JUN、CA9、MMP1、BAIAP2L1、SERPINF1、F2RL1和FGFR2。GSE52903和GSE44001数据集的Kaplan-Meier生存曲线显示,高风险组的总生存期(overall survival,OS)(P=0.005)和无病生存期(disease-free survival,DFS)(P<0.001)显著低于低风险组。受试者操作特征(receiver operating characteristic,ROC)曲线分析结果显示,GSE52903验证集在1年、3年和5年的曲线下面积(area under the curve,AUC)值分别为0.84、0.77和0.73,C-指数为0.72;GSE44001验证集在1年、3年和5年的AUC值分别为0.71、0.72和0.70,C-指数为0.70,说明该模型对患者预后具有很强的预测效能。GSEA分析富集的通路主要涉及DNA复制、细胞外基质(extracellular matrix,ECM)受体相互作用、补体和凝血级联等,这些过程与宫颈癌发生、发展紧密相关。以上结果表明,这15个关键ARG可能是宫颈癌预后潜在的生物标志物。
文摘宫颈癌(cervical cancer, CC)是女性常见的恶性肿瘤之一,临床病理学特征及发病相关影响因素的研究一直备受关注。本综述旨在梳理近年来关于CC患者临床病理学特征及发病相关影响因素的研究进展。我们系统地收集和分析了相关的文献资料,以总结最新的研究成果和趋势。在临床病理学特征方面,研究表明,CC患者常伴随有不同程度的细胞学改变、组织学类型和分级等。这些特征对于CC的诊断和治疗具有重要意义。此外,已经有研究探讨了其他病理学指标,如内膜侵袭深度、血管侵犯和淋巴结转移等,以评估CC的预后和生存率。关于发病相关影响因素的研究进展,许多因素被认为与CC的发生风险密切相关。其中包括人乳头瘤病毒(HPV)感染、遗传因素、性行为、生殖与生育因素以及免疫系统状态等。各因素之间的相互作用和复杂关系需要进一步深入研究,通过对CC的临床病理学特征及发病相关影响因素的研究进展进行综述,我们可以更好地了解CC的病理学特点和相关影响因素,并为CC的早期诊断、治疗和预防提供依据。未来的研究应该进一步明确这些特征和影响因素在不同人群中的差异,以及它们对个体风险评估和定制化的治疗方案的应用前景。Cervical cancer (CC) is one of the common malignant tumors in women, and the research on clinicopathological features and influencing factors related to its development has been attracting much attention. The aim of this review is to sort out the research progress in recent years on the clinicopathological features and pathogenesis-related influencing factors of CC patients. We systematically collected and analyzed relevant literature to summarize the latest research results and trends. In terms of clinicopathologic features, studies have shown that patients with CC are often accompanied by different degrees of cytologic changes, histologic types and grades. These features are important for the diagnosis and treatment of CC. In addition, studies have been conducted to explore other pathologic indicators, such as depth of endothelial invasion, vascular invasion, and lymph node metastasis, in order to assess the prognosis and survival rate of CC. Regarding the progress of research on pathogenesis-related influencing factors, many factors are thought to be closely associated with the risk of developing CC. These include human papillomavirus (HPV) infection, genetic factors, sexual behavior, reproductive and fertility factors, and immune system status. The interactions and complex relationships among these factors require further in-depth study. By reviewing the research progress on the clinicopathologic features of CC patients and the influencing factors related to the development of the disease, we can have a better understanding of the pathologic features of CC and the related influencing factors, as well as provide a basis for the early diagnosis, treatment, and prevention of CC. Future studies should further clarify the differences of these features and influencing factors in different populations, and the prospects of their application to individual risk assessment and customized treatment plans.
