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中国癌症防治杂志

中国癌症防治杂志 ›› 2023, Vol. 15 ›› Issue (4): 398-405.doi: 0.3969/j.issn.1674-5671.2023.04.06

• 临床研究 • 上一篇    下一篇

基于肿瘤免疫循环相关基因的宫颈癌预后模型的构建和验证

  

  1. 广西医科大学附属肿瘤医院实验研究部；广西医科大学广西区域性高发肿瘤早期防治研究 （教育部）重点实验室
  • 出版日期:2023-08-25 发布日期:2023-08-28
  • 通讯作者: 王琪 E-mail：wangqi@stu.gxmu.edu.cn
  • 基金资助:
    国家自然科学基金项目（82260484）；广西重点研发计划项目（桂科AB1850003）；广西创新驱动发展专项（桂科AA18242040）；区域性高发肿瘤早期防治研究教育部重点实验室自主研究项目（GKE?ZZ202016；GKE?ZZ202122；GKE?ZZ202236）

Construction and validation of a prognostic model for cervical cancer based on tumor immune cycle-related genes

  • Online:2023-08-25 Published:2023-08-28

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摘要： 目的 基于肿瘤免疫循环相关基因（tumor immune cycle related⁃genes，TICRGs）构建宫颈癌预后模型，并检测临床组织样本中建模因子的表达以验证模型效能。方法 将TCGA数据库中宫颈癌样本转录组数据作为训练集，GEO数据库的宫颈癌基因表达谱GSE44001作为验证集。差异比较肿瘤样本与正常宫颈组织转录组数据，获得宫颈癌TICRGs，通过单因素Cox回归筛选预后相关的TICRGs， LASSO⁃Cox算法构建宫颈癌预后模型。采用受试者工作特征（receiver operating characteristic，ROC）曲线下的面积（area under the curve，AUC）和一致性指数（concordance index，C⁃index）对模型进行评价。用GSE44001数据集对模型进行外部验证，多色荧光免疫组化实验验证模型的可行性。结果 本研究构建了由CCL17、CXCL3和VTCN1组成的宫颈癌预后模型，生存分析显示高风险组与低风险组预后差异有统计学意义（P<0.001）。AUC和C⁃index提示该模型具有中等程度的预测效能；多因素Cox回归显示风险评分是宫颈癌患者的独立预后因素（P=0.010）；免疫浸润分析显示CD8+T细胞是宫颈癌预后的保护因子（P=0.017）。多色荧光免疫组化实验结果构建验证模型与预后模型结果一致。结论 由肿瘤免疫循环相关基因CCL17、CXCL3和VTCN1构建的预后模型对预测宫颈癌患者预后具有中等程度的预测效能。

关键词:  , 宫颈癌；预后模型；肿瘤免疫循环相关基因；多色荧光免疫组化

Abstract: Objective To construct a prognostic model for cervical cancer based on tumor immune cycle related⁃genes (TICRGs), and to detect the expression of modeling factors in clinical tissue samples to verify the efficacy of the model. Methods The transcriptome profile of cervical cancer samples in TCGA database was used as the training set, and the cervical cancer genes expression profile GSE44001 in the GEO database was used as the validation set. The transcriptome data of tumor samples and normal cervical tissues were compared and analyzed to obtain cervical cancer TICRGs. The prognostic TICRGs were screened by the univariable Cox regression, and the prognostic model of cervical cancer was constructed by LASSO⁃Cox analysis method. The area under the curve (AUC) of receiver operating characteristic (ROC) curve and concordance index (C⁃index) were used to evaluate the model. GSE44001 data set was used to externally verify the model, and the feasibility of the model was verified by the multi⁃color fluorescence immunohistochemistry experiment. Results A cervical cancer prognosis model consisting of CCL17, CXCL3 and VTCN1 was constructed in this study. Prognostic survival analysis showed a significant difference in prognosis between the high⁃risk and low⁃risk groups (P<0.001). The ROC curve and the C⁃index indicated that the model showed moderate prognostic efficacy. Multivariable Cox regression showed that risk score was an independent prognostic factor for cervical cancer patients ( P=0.010). Immunoinfiltration analysis revealed that CD8+T cells was a protective factor for the prognosis of cervical cancer(P=0.017). The results of the multi⁃color fluorescence immunohistochemistry experiment were consistent with the results of the prognostic model. Conclusions The prognostic model constructed based on tumor immune cycle⁃related genes CCL17, CXCL3 and VTCN1 has moderate predictive efficacy in predicting the prognosis of patients with cervical cancer. 

Key words:  Cervical cancer, Prognostic model, Tumor immune cycle related genes, Multi?color , fluorescence immunohistochemistry

中图分类号: 

  • R737.33