3D Ultrasound-Guided Photoacoustic Imaging to Monitor the Effects of Suboptimal Tyrosine Kinase Inhibitor Therapy in Pancreatic Tumors.
3D Ultrasound-Guided Photoacoustic Imaging to Monitor the Effects of Suboptimal Tyrosine Kinase Inhibitor Therapy in Pancreatic Tumors.
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DOI：
10.3389/fonc.2022.915319
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发表时间：
2022
影响因子：
4.7
通讯作者：
Mallidi, Srivalleesha
中科院分区：
文献类型：
--
作者：
Claus, Abigail;Sweeney, Allison;Sankepalle, Deeksha M.;Li, Brian;Wong, Daniel;Xavierselvan, Marvin;Mallidi, Srivalleesha
关键词：
胰腺癌是一种生存率较差的疾病。由于只有大约20％的患者有资格接受手术切除，因此可以缓解症状并收缩肿瘤进行手术切除的新辅助治疗变得至关重要。许多形式的治疗依赖于癌细胞的脆弱性增加，但是肿瘤中可能缺氧的肿瘤或区域可能是耐药性的。特别是对于新辅助疗法，例如用于收缩肿瘤的酪氨酸激酶抑制剂，监测血管功能和缺氧的变化以预测治疗功效至关重要。当前用于获得有关缺氧或氧饱和度（STO2）的结构和功能信息的当前临床成像方式（STO2）不能提供足够的深度穿透或需要使用外源性对比剂。最近，超声引导的光声成像（US-PAI）赢得了显着的流行，因为它可以无创地提供有关肿瘤脉管系统和功能的多参数信息，而无需对比度剂。在这里，我们建立在有关US-PAI的现有文献的基础上，并证明了STO2值变化以预测治疗反应，尤其是肿瘤生长速率，尤其是肿瘤的生长速率。具体而言，我们想象胰腺腺癌的异种移植小鼠模型，该模型用酪氨酸激酶抑制剂Cabozantinib治疗的胰腺腺癌。我们利用US-PAI数据来开发多元回归模型，该模型表明，当治疗诱导的肿瘤生长速率降低可以通过100％阳性预测能力和中等（58.33％）的负面预测能力预测使用体积和sto2值的变化预处理和后处理后立即采用。总体而言，我们的研究表明，US-PAI有潜力提供无标签的替代成像生物标志物，可以预测次优疗法中的肿瘤生长速率。
Pancreatic cancer is a disease with an incredibly poor survival rate. As only about 20% of patients are eligible for surgical resection, neoadjuvant treatments that can relieve symptoms and shrink tumors for surgical resection become critical. Many forms of treatments rely on increased vulnerability of cancerous cells, but tumors or regions within the tumors that may be hypoxic could be drug resistant. Particularly for neoadjuvant therapies such as the tyrosine kinase inhibitors utilized to shrink tumors, it is critical to monitor changes in vascular function and hypoxia to predict treatment efficacy. Current clinical imaging modalities used to obtain structural and functional information regarding hypoxia or oxygen saturation (StO2) do not provide sufficient depth penetration or require the use of exogenous contrast agents. Recently, ultrasound-guided photoacoustic imaging (US-PAI) has garnered significant popularity, as it can noninvasively provide multiparametric information on tumor vasculature and function without the need for contrast agents. Here, we built upon existing literature on US-PAI and demonstrate the importance of changes in StO2 values to predict treatment response, particularly tumor growth rate, when the outcomes are suboptimal. Specifically, we image xenograft mouse models of pancreatic adenocarcinoma treated with suboptimal doses of a tyrosine kinase inhibitor cabozantinib. We utilize the US-PAI data to develop a multivariate regression model that demonstrates that a therapy-induced reduction in tumor growth rate can be predicted with 100% positive predictive power and a moderate (58.33%) negative predictive power when a combination of pretreatment tumor volume and changes in StO2 values pretreatment and immediately posttreatment was employed. Overall, our study indicates that US-PAI has the potential to provide label-free surrogate imaging biomarkers that can predict tumor growth rate in suboptimal therapy.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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DOI：
10.3390/s21010283
发表时间：
2021-01-04
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
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7.9
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