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MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma

机译:用于早期预测胰腺导管腺癌转基因小鼠模型疫苗治疗疫苗治疗的早期预测的MRI射线

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There is a lack of well-established clinical tools for predicting dendritic cell (DC) vaccination response of pancreatic ductal adenocarcinoma (PDAC). DC vaccine treatment efficiency was demonstrated using histological analysis in pre-clinical studies; however, its usage was limited due to invasiveness. In this study, we aimed to investigate the potential of MRI texture features for detection of early immunotherapeutic response as well as overall survival (OS) of PDAC subjects following dendritic cell (DC) vaccine treatment in LSL-KrasG12D;LSL-Trp53R172H;Pdx-1-Cre (KPC) transgenic mouse model of pancreatic ductal adenocarcinoma (PDAC). KPC mice were treated with DC vaccines, and tumor growth was dynamically monitored. A total of a hundred and fifty-two image features of T2-weighted MRI images were analyzed using a kernel-based support vector machine model to detect treatment effects following the first and third weeks of the treatment. Moreover, univariate analysis was performed to describe the association between MRI texture and survival of KPC mice as well as histological tumor biomarkers. OS for mice in the treatment group was 54.8?±?22.54?days while the control group had 35.39?±?17.17?days. A subset of three MRI features distinguished treatment effects starting from the first week with increasing accuracy throughout the treatment (75% to 94%). Besides, we observed that short-run emphasis of approximate wavelet coefficients had a positive correlation with the survival of the KPC mice (r?=?0.78, p??0.001). Additionally, tissue-specific MRI texture features showed positive association with fibrosis percentage (r?=?0.84, p??0.002), CK19 positive percentage (r?=???0.97, p??0.001), and Ki67 positive cells (r?=?0.81, p??0.02) as histological disease biomarkers. Our results demonstrate that MRI texture features can be used as imaging biomarkers for early detection of therapeutic response following DC vaccination in the KPC mouse model of PDAC. Besides, MRI texture can be utilized to characterize tumor microenvironment reflected with histology analysis.
机译:缺乏良好的临床工具,用于预测胰腺导管腺癌(PDAC)的树突细胞(DC)疫苗接种响应。 DC疫苗处理效率在临床前研究中使用组织学分析证明了;然而,由于侵袭性,它的使用受到限制。在这项研究中,我们旨在探讨MRI纹理特征的潜力,用于检测早期免疫治疗响应以及在LSL-KRASG12D中的树突细胞(DC)疫苗处理后PDAC受试者的总存活(OS); LSL-TRP53R172H; PDX-胰腺导管腺癌(PDAC)的1-CRE(KPC)转基因小鼠模型。用DC疫苗处理KPC小鼠,动态监测肿瘤生长。使用基于内核的支持向量机模型分析了T2加权MRI图像的一百和五十二个图像特征,以检测治疗的第一和第三周后的治疗效果。此外,进行单变量分析以描述KPC小鼠MRI质地和存活之间的关联以及组织学肿瘤生物标志物。治疗组小鼠的OS为54.8?±22.54天,同时对照组有35.39?±17.17?天。三个MRI的子集具有从第一周开始的分类治疗效果,并且在整个治疗中的准确性增加(75%至94%)。此外,我们观察到,近似小波系数的短期强调与KPC小鼠的存活具有正相关(R?= 0.78,p≤≤0.001)。另外,组织特异性MRI纹理特征表现出与纤维化百分比的阳性关联(R?= 0.84,P≤0.84),CK19阳性百分比(R?= ??? 0.97,P?<0.001),Ki67阳性细胞(R?=β= 0.81,p?<β02)作为组织学疾病生物标志物。我们的结果表明,MRI纹理特征可用作成像生物标志物,用于在PDAC的KPC小鼠模型中的DC疫苗接种后的治疗反应早期检测治疗反应。此外,MRI纹理可用于表征随组织学分析反映的肿瘤微环境。

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