Division of Gastroenterological Surgery, Chiba Cancer Center, Chiba, Japan.
Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Sci Rep. 2020 Feb 13;10(1):2532. doi: 10.1038/s41598-020-59500-7.
Radiogenomics is a new field that provides clinically useful prognostic predictions by linking molecular characteristics such as the genetic aberrations of malignant tumors with medical images. The abnormal expression of serum microRNA-1246 (miR-1246) has been reported as a prognostic factor of esophageal squamous cell carcinoma (ESCC). To evaluate the power of the miR-1246 level predicted with radiogenomics techniques as a predictor of the prognosis of ESCC patients. The real miR-1246 expression (miR-1246) was measured in 92 ESCC patients. Forty-five image features (IFs) were extracted from tumor regions on contrast-enhanced computed tomography. A prediction model for miR-1246 was constructed using linear regression with selected features identified in a correlation analysis of miR-1246 and each IF. A threshold to divide the patients into two groups was defined according to a receiver operating characteristic analysis for miR-1246. Survival analyses were performed between two groups. Six IFs were correlated with miR-1246 and were included in the prediction model. The survival curves of high and low groups of miR-1246 and miR-1246 showed significant differences (p = 0.001 and 0.016). Both miR-1246 and miR-1246 were independent predictors of overall survival (p = 0.030 and 0.035). miR-1246 produced by radiogenomics had similar power to miR-1246 for predicting the prognosis of ESCC.
放射组学是一个新领域，通过将恶性肿瘤的分子特征（如基因突变）与医学图像联系起来，为临床提供有用的预后预测。血清 microRNA-1246（miR-1246）的异常表达已被报道为食管鳞状细胞癌（ESCC）的预后因素。为了评估基于放射组学技术预测 miR-1246 水平作为 ESCC 患者预后预测因子的能力。对 92 名 ESCC 患者的真实 miR-1246 表达（miR-1246）进行了测量。从增强 CT 肿瘤区域提取了 45 个图像特征（IFs）。使用线性回归分析了 miR-1246 与每个 IF 的相关性分析中选择的特征，构建了 miR-1246 的预测模型。根据 miR-1246 的受试者工作特征分析，为 miR-1246 定义了一个阈值，将患者分为两组。对两组患者进行生存分析。有 6 个 IF 与 miR-1246 相关，被纳入预测模型。miR-1246 高和低组的生存曲线有显著差异（p=0.001 和 0.016）。miR-1246 和 miR-1246 均为总生存的独立预测因子（p=0.030 和 0.035）。放射组学产生的 miR-1246 对预测 ESCC 患者的预后与 miR-1246 具有相似的能力。
