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Article Open Access

VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models

  • Authors:
    • Xitian Liang
    • Bolin Wu
    • Haitao Shang
    • Xue Han
    • Hui Jing
    • Yixin Sun
    • Wen Cheng
  • View Affiliations / Copyright

    Affiliations: Department of Ultrasonography, Harbin Medical University Cancer Hospital, Nangang, Harbin, Heilongjiang 150000, P.R. China
    Copyright: © Liang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2893-2902
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    Published online on: June 19, 2018
       https://doi.org/10.3892/ol.2018.8994
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Abstract

The present study used a virtual touch tissue imaging and quantification (VTIQ) method to investigate the change in elasticity in xenograft tumor tissue models following silencing of the neuroepithelial‑transforming protein 1 (NET‑1) gene by ultrasound‑targeted microbubble destruction (UTMD). A total of 24 xenograft models were established by subcutaneous injection of human hepatocellular carcinoma SMMC‑7721 cells in BALB/c female nude mice. Then, NET‑1 small interfering RNA (siRNA)‑conjugated nanobubbles and a glypican‑3 antibody were synthesized. The mean and maximum shear wave speed (SWSmean and SWSmax) in the tumor tissue were measured prior to, during, and following therapy using VTIQ. The growth of the tumor size and survival time were recorded. The levels of NET‑1 protein were evaluated by immunohistochemical staining. In addition, tumor, liver and kidney tissues of the nude mice were collected to confirm whether gene transfection treatment was toxic in vivo. In the UTMD delivery gene group, SWSmean was correlated with the maximum diameter of the tumor (r=0.9806, P=0.0194). The immunohistochemical staining data indicated that the level of NET‑1 protein in the treated groups was significantly decreased compared with those in the control groups. Additionally, no structural damage was observed in the nude mice liver and kidney tissues following treatment. Therefore, VTIQ measurement identified potential changes in the elastic properties of the tumors, which in turn may be associated with the stages of tumor development. The delivery method, UTMD, improves the antitumor effects of NET‑1 siRNA and supports gene transfection as a promising therapeutic strategy.
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Copy and paste a formatted citation
Spandidos Publications style
Liang X, Wu B, Shang H, Han X, Jing H, Sun Y and Cheng W: VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models. Oncol Lett 16: 2893-2902, 2018.
APA
Liang, X., Wu, B., Shang, H., Han, X., Jing, H., Sun, Y., & Cheng, W. (2018). VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models. Oncology Letters, 16, 2893-2902. https://doi.org/10.3892/ol.2018.8994
MLA
Liang, X., Wu, B., Shang, H., Han, X., Jing, H., Sun, Y., Cheng, W."VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models". Oncology Letters 16.3 (2018): 2893-2902.
Chicago
Liang, X., Wu, B., Shang, H., Han, X., Jing, H., Sun, Y., Cheng, W."VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models". Oncology Letters 16, no. 3 (2018): 2893-2902. https://doi.org/10.3892/ol.2018.8994
Copy and paste a formatted citation
x
Spandidos Publications style
Liang X, Wu B, Shang H, Han X, Jing H, Sun Y and Cheng W: VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models. Oncol Lett 16: 2893-2902, 2018.
APA
Liang, X., Wu, B., Shang, H., Han, X., Jing, H., Sun, Y., & Cheng, W. (2018). VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models. Oncology Letters, 16, 2893-2902. https://doi.org/10.3892/ol.2018.8994
MLA
Liang, X., Wu, B., Shang, H., Han, X., Jing, H., Sun, Y., Cheng, W."VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models". Oncology Letters 16.3 (2018): 2893-2902.
Chicago
Liang, X., Wu, B., Shang, H., Han, X., Jing, H., Sun, Y., Cheng, W."VTIQ evaluates antitumor effects of NET‑1 siRNA by UTMD in HCC xenograft models". Oncology Letters 16, no. 3 (2018): 2893-2902. https://doi.org/10.3892/ol.2018.8994
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