文献类型：期刊文献

英文题名：Precise prediction of bone metastases and metastatic burden using exosomal mirnas and radiomics: a multi-center study

作者：Wang, Chao[1];Wei, Xu-Pan[4];Zhou, Chuan[1];Wang, Jia[2];Zhang, Yun-Feng[1];He, Han[1];Zhang, Wen-Bo[2];Lv, Hao-Xuan[1];Wang, Fang[5];Zhou, Feng-Hai[1,3]

第一作者：Wang, Chao

通信作者：Zhou, FH[1];Zhou, FH[2];Wang, F[3]

机构：[1]Lanzhou Univ, Clin Med Coll 1, Lanzhou 730000, Peoples R China;[2]Gansu Univ Chinese Med, Clin Med Coll 1, Lanzhou 730000, Peoples R China;[3]Gansu Prov Hosp, Dept Urol, Lanzhou 730000, Peoples R China;[4]Shandong First Med Univ, Liaocheng Peoples Hosp, Liaocheng Hosp, Dept Urol, Liaocheng 252000, Peoples R China;[5]Lanzhou Univ, Med Expt Ctr, Lanzhou 730000, Peoples R China

第一机构：Lanzhou Univ, Clin Med Coll 1, Lanzhou 730000, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Clin Med Coll 1, Lanzhou 730000, Peoples R China;[2]corresponding author), Gansu Prov Hosp, Dept Urol, Lanzhou 730000, Peoples R China;[3]corresponding author), Lanzhou Univ, Med Expt Ctr, Lanzhou 730000, Peoples R China.

年份：2025

卷号：23

期号：1

外文期刊名：JOURNAL OF TRANSLATIONAL MEDICINE

收录：;Scopus(收录号：2-s2.0-105008310913);WOS:【SCI-EXPANDED(收录号:WOS:001510582300001)】；

基金：Thanks to all participants involved in this research.

语种：英文

外文关键词：PCa; miRNAs; Radiomics; Exosomes; Biomarkers

摘要：BackgroundBone metastasis of prostate cancer (PCa) is a challenging problem, leading to poor prognosis of patients. Existing biomarkers have limited sensitivity and specificity. Therefore, we urgently need a novel diagnostic tool to predict PCa bone metastasis.MethodsPatient data and blood samples were collected according to the inclusion and exclusion criteria. logistic regression analysis was used to screen clinical indicators and miRNAs, and radiomics was used to construct a prediction model. Finally, the performance of the model was evaluated by internal verification, external verification and Delong test. Two nomograms were successfully established by analyzing clinical data, plasma miRNAs and imaging data. Nomogram 1 predicts the presence or absence of bone metastasis; Nomogram 2 predicts whether the number of bone metastases is >= 4.ResultsNomogram 1 constructed by tPSA, hsa-miR-548o-3p and radiomics had an AUC of 0.904. The AUC of the internal training set was 0.879, the internal test set was 0.956, and the AUC of the external data set was 0.877. The calibration curve and decision curve all performed well. Nomogram 2 constructed by ALP, hsa-miR-548o-3p and radiomics had an AUC of 0.849, with an AUC of 0.916 in the internal training set, 0.806 in the internal test set and 0.839 in the external data set. The calibration curve and decision curve showed good performance.ConclusionsThe combination of plasma exosomal miRNA and radiomics model has high reliability and accuracy in predicting the presence and number of bone metastases of PCa.