基于CT图像的活检可帮助预测非小细胞肺癌患者HOPX表达状态和预后的研究  

Biopsy Based on CT Images Can Help Predict HOPX Expression Status and Prognosis of Patients with Non-small Cell Lung Cancer

作　　者：张学林[1] 王杨 卓诗宇 ZHANG Xue-lin;WANG Yang;ZHUO Shi-yu(Department of Radiation Oncology,The Second Affiliated Hospital of Hebei North University,Zhangjiakou 075100,Hebei Province,China)

机构地区：[1]河北北方学院附属第二医院肿瘤放疗科,河北张家口075100

出　　处：《中国CT和MRI杂志》2024年第9期47-49,共3页Chinese Journal of CT and MRI

基　　金：河北省卫生健康委科研基金项目(20231469);张家口市重点研发计划项目(2221174D)。

摘　　要：目的本研究旨在阐明具有放射基因组特征的基于CT图像的活检以预测非小细胞肺癌(NSCLC)患者仅同源域蛋白同源盒(homeodomain-only protein homeobox,HOPX)基因表达状态和预后。方法根据HOPX的表达将患者标记为HOPX阴性或阳性,并将其分为训练数据集(n=92)和测试数据集(n=24)。在对116例患者进行基因与图像特征的相关性分析中,从1218个图像特征中选出了8个与HOPX表达相关的显著特征作为放射基因组特征候选,以预测HOPX的表达状态和预后。结果通过叠加集成学习模型建立具有放射基因组特征的影像活检模型,在测试数据集中,模型显示出对HOPX表达的预测能力,ROC曲线下的面积为0.873,Kaplan-Meier曲线的预测能力(P=0.0066)。结论具有放射基因组特征的基于CT图像的活检可以帮助医生预测HOPX在非小细胞肺癌中的表达状况和预后。Objective This study aimed to elucidate CT image-based biopsies with radiogenomic features to predict homeodomain-only protein homeobox(HOPX)gene expression status and prognosis in patients with non-small cell lung cancer(NSCLC).Methods Patients were labeled as HOPX-negative or HOPX-positive based on HOPX expression and divided into a training dataset(n=92)and a test dataset(n=24).In the analysis of correlation between gene and image features in 116 patients,8 significant features related to HOPX expression were selected from 1218 image features as candidates for radiogenomic features to predict the expression status and prognosis of HOPX.Results An image biopsy model with radiogenomic features was established by superposition ensemble learning model.In the test data set,the model showed the predictive ability of HOPX expression,the area under ROC curve was 0.873,and the predictive ability of Kaplan-Meier curve was 0.0066(P=0.0066).Conclusion CT image-based biopsies with radiogenomic signatures can help physicians predict HOPX expression status and prognosis in non-small cell lung cancer.

关 键 词：CT图像 非小细胞肺癌 同源域蛋白同源盒 

分 类 号：R563[医药卫生—呼吸系统]