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Proceedings Paper

Evaluation of the anti-neoplastic effect of sorafenib on liver cancer through bioluminescence tomography
Author(s): Qian Liang; Jinzuo Ye; Yang Du; Chongwei Chi; Jie Tian
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Paper Abstract

Hepatocellular carcinoma (HCC) is one of the most important leading causes of cancer-related deaths worldwide. In this study, we evaluated the efficacy of sorafenib on hepatocellular carcinoma through bioluminescence tomography (BLT) based on Micro-CT/BLT multi-modal system. Initially, the human hepatocellular carcinoma cell line HepG2-Red-FLuc, which was transfected with luciferase gene, was cultured. And then, the orthotopic liver tumor mouse model was established on 4~5 weeks old athymic male Balb/c nude mice by inoculating the HepG2-Red-FLuc cell suspension into the liver lobe under isoflurane anesthesia. 15~20 days after tumor cells implantation, the mice were divided into two groups including the sorafenib treatment group and the control group. The mice in the treatment group were treated with sorafenib with dosage of 62 mg/kg/day by oral gavage for continuous 14 days, and the mice in the control group were treated with sterile water at equal volume. The tumor growth and drug treatment efficacy were dynamically monitored through BLT. The results in this study showed that the growth of liver cancer can be dynamically monitored from very early stage, and also the sorafenib treatment efficacy can be reliably and objectively assessed using BLT imaging method. Our experimental result demonstrated sorafenib can inhibit the tumor growth effectively. BLT enabled the non-invasive and reliable assessment of anti-neoplastic drug efficacy on liver cancer.

Paper Details

Date Published: 13 March 2017
PDF: 7 pages
Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1013702 (13 March 2017); doi: 10.1117/12.2254323
Show Author Affiliations
Qian Liang, Institute of Automation (China)
Jinzuo Ye, Institute of Automation (China)
Yang Du, Institute of Automation (China)
Chongwei Chi, Institute of Automation (China)
Jie Tian, Institute of Automation (China)


Published in SPIE Proceedings Vol. 10137:
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor Gimi, Editor(s)

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