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Oncology Reports
Article
Data sources: UnpayWall
Oncology Reports
Article . 2018 . Peer-reviewed
Data sources: Crossref
Oncology Reports
Article . 2018
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Oncolytic cancer therapy with a vaccinia virus strain

Authors: Lili, Deng; Jun, Fan; Yuedi, Ding; Jue, Zhang; Bin, Zhou; Yi, Zhang; Biao, Huang; +1 Authors

Oncolytic cancer therapy with a vaccinia virus strain

Abstract

Oncolytic vaccinia virus is currently undergoing evaluation as a biological anticancer agent in clinical trials. This treatment exploits the lytic nature of a viral infection to eradicate the tumor mass in a cancer cell‑specific manner. So far, various vaccinia strains have been used as backbones in the design of oncolytic agents. However, the efficacy as oncolytic virotherapy of Chinese vaccinia strain Tian Tan (VTT) has not been reported. Vaccinia strain Guang9 (VG9), derived from VTT by consecutive plaque‑cloning selection, was attenuated to a greater extent than its parental strain. In this study, the oncolytic efficacy of VG9 was evaluated. We examined in vitro replication and cytotoxicity, in vivo biodistribution, and antitumor effects in a B16 tumor model. The results revealed that VG9 replicated rapidly, but the cytotoxicity varied in different cell lines. Significant antitumor effects of VG9 were observed in a murine melanoma tumor model, and an antitumor cytotoxic T‑lymphocyte response induced by VG9 was also observed. The results indicated that the Chinese vaccinia strain VG9 holds promise in the construction of a recombinant vaccinia virus vector and as a potential therapeutic strategy in cancer treatment.

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Keywords

Male, Oncolytic Virotherapy, Vaccinia virus, Middle Aged, Virus Replication, Xenograft Model Antitumor Assays, Cell Line, Mice, Inbred C57BL, Mice, Oncolytic Viruses, A549 Cells, Cell Line, Tumor, Neoplasms, NIH 3T3 Cells, Animals, Humans, Female, Tissue Distribution, HeLa Cells

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    popularity
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    Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
bronze
Related to Research communities
Cancer Research