Non-Invasive Monitoring of Increased Fibrotic Tissue and Hyaluronan Deposition in the Tumor Microenvironment in the Advanced Stages of Pancreatic Ductal Adenocarcinoma.
Non-Invasive Monitoring of Increased Fibrotic Tissue and Hyaluronan Deposition in the Tumor Microenvironment in the Advanced Stages of Pancreatic Ductal Adenocarcinoma.
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在胰腺导管腺癌的晚期肿瘤微环境中，非侵入性监测纤维化组织增加和透明质酸沉积。
DOI：
10.3390/cancers14040999
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发表时间：
2022-02-16
期刊：
影响因子：
5.2
通讯作者：
Lee D
中科院分区：
文献类型：
--
作者：
Vohra R;Wang YN;Son H;Totten S;Arora A;Maxwell A;Lee D
胰腺导管腺癌（PDAC）是一种预后不良的致命疾病。更好地了解肿瘤微环境可能有助于更好地治疗这种疾病。磁共振成像可能是监测肿瘤不同发展阶段微环境的重要工具。在这里，我们使用多参数磁共振成像技术来监测肿瘤发展晚期的潜在病理生理过程，并与组织学测量相关联。胰腺导管腺癌的特点是由纤维化组织、高水平透明质酸（HA）和免疫细胞组成的复杂而强健的肿瘤微环境（TME）。我们在基因工程KPC （KrasLSL-G12D/+, Trp53LSL-R172H/+, Cre）小鼠模型中使用定量多参数磁共振成像（mp-MRI）方法在14特斯拉下评估肿瘤发展晚期的复杂TME。选择整个肿瘤，不包括囊性区域，作为数据分析和后续统计分析的兴趣区域。使用Pearson相关进行统计推断。肿瘤体积与T2 （r = - 0.66）、磁化传递比（MTR） （r = 0.60）、表观扩散系数（ADC） （r = 0.48）、糖胺聚糖-化学交换饱和传递（GagCEST） （r = 0.51）有显著相关性。随机选取一组小鼠进行组织学分析。肿瘤体积与纤维化（0.92）、血凝素（r = 0.76）呈正相关；GagCEST和HA (r = 0.81)；MTR和CD31 （r = 0.48）。我们发现ADC low-b（灌注）与Ki67呈负相关（r = - 0.82）。mp-MRI与组织学结果之间的强相关性表明，mp-MRI可以作为一种非侵入性的工具来监测肿瘤微环境。
Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease with a poor prognosis. A better understanding of the tumor microenvironment may help better treat the disease. Magnetic resonance imaging may be a great tool for monitoring the tumor microenvironment at different stages of tumor evolution. Here, we used multi-parametric magnetic resonance imaging techniques to monitor underlying pathophysiologic processes during the advanced stages of tumor development and correlated with histologic measurements. Pancreatic ductal adenocarcinomas are characterized by a complex and robust tumor microenvironment (TME) consisting of fibrotic tissue, excessive levels of hyaluronan (HA), and immune cells. We utilized quantitative multi-parametric magnetic resonance imaging (mp-MRI) methods at 14 Tesla in a genetically engineered KPC (KrasLSL-G12D/+, Trp53LSL-R172H/+, Cre) mouse model to assess the complex TME in advanced stages of tumor development. The whole tumor, excluding cystic areas, was selected as the region of interest for data analysis and subsequent statistical analysis. Pearson correlation was used for statistical inference. There was a significant correlation between tumor volume and T2 (r = −0.66), magnetization transfer ratio (MTR) (r = 0.60), apparent diffusion coefficient (ADC) (r = 0.48), and Glycosaminoglycan-chemical exchange saturation transfer (GagCEST) (r = 0.51). A subset of mice was randomly selected for histological analysis. There were positive correlations between tumor volume and fibrosis (0.92), and HA (r = 0.76); GagCEST and HA (r = 0.81); and MTR and CD31 (r = 0.48). We found a negative correlation between ADC low-b (perfusion) and Ki67 (r = −0.82). Strong correlations between mp-MRI and histology results suggest that mp-MRI can be used as a non-invasive tool to monitor the tumor microenvironment.
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影响因子：
29.4
作者：
DuFort CC;DelGiorno KE;Hingorani SR
通讯作者：
Hingorani SR
影响因子：
3.3
作者：
Desmond, Kimberly L.;Moosvi, Firas;Stanisz, Greg J.
通讯作者：
Stanisz, Greg J.
前列腺癌的多参数MRI：最新技术的最新信息及其在检测和定位前列腺癌方面的表现。
DOI：
10.1002/jmri.23860
发表时间：
2013-05
期刊：
Journal of magnetic resonance imaging : JMRI
影响因子：
--
作者：
Hegde JV;Mulkern RV;Panych LP;Fennessy FM;Fedorov A;Maier SE;Tempany CM
通讯作者：
Tempany CM
影响因子：
19.7
作者：
LEBIHAN, D;BRETON, E;LAVALJEANTET, M
通讯作者：
LAVALJEANTET, M
影响因子：
4
作者：
Farr, Navid;Wang, Yak-Nam;Lee, Donghoon
通讯作者：
Lee, Donghoon