Cargando…
VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models
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 tota...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096142/ https://www.ncbi.nlm.nih.gov/pubmed/30127877 http://dx.doi.org/10.3892/ol.2018.8994 |
_version_ | 1783348051492995072 |
---|---|
author | Liang, Xitian Wu, Bolin Shang, Haitao Han, Xue Jing, Hui Sun, Yixin Cheng, Wen |
author_facet | Liang, Xitian Wu, Bolin Shang, Haitao Han, Xue Jing, Hui Sun, Yixin Cheng, Wen |
author_sort | Liang, Xitian |
collection | PubMed |
description | 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 (SWS(mean) and SWS(max)) 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, SWS(mean) 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. |
format | Online Article Text |
id | pubmed-6096142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-60961422018-08-20 VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models Liang, Xitian Wu, Bolin Shang, Haitao Han, Xue Jing, Hui Sun, Yixin Cheng, Wen Oncol Lett Articles 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 (SWS(mean) and SWS(max)) 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, SWS(mean) 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. D.A. Spandidos 2018-09 2018-06-19 /pmc/articles/PMC6096142/ /pubmed/30127877 http://dx.doi.org/10.3892/ol.2018.8994 Text en Copyright: © Liang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Liang, Xitian Wu, Bolin Shang, Haitao Han, Xue Jing, Hui Sun, Yixin Cheng, Wen VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models |
title | VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models |
title_full | VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models |
title_fullStr | VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models |
title_full_unstemmed | VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models |
title_short | VTIQ evaluates antitumor effects of NET-1 siRNA by UTMD in HCC xenograft models |
title_sort | vtiq evaluates antitumor effects of net-1 sirna by utmd in hcc xenograft models |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096142/ https://www.ncbi.nlm.nih.gov/pubmed/30127877 http://dx.doi.org/10.3892/ol.2018.8994 |
work_keys_str_mv | AT liangxitian vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels AT wubolin vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels AT shanghaitao vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels AT hanxue vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels AT jinghui vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels AT sunyixin vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels AT chengwen vtiqevaluatesantitumoreffectsofnet1sirnabyutmdinhccxenograftmodels |