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Oncolytic adenovirus expressing interleukin-18 improves antitumor activity of dacarbazine for malignant melanoma

Overview of attention for article published in Drug Design, Development and Therapy, November 2016
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Title
Oncolytic adenovirus expressing interleukin-18 improves antitumor activity of dacarbazine for malignant melanoma
Published in
Drug Design, Development and Therapy, November 2016
DOI 10.2147/dddt.s115121
Pubmed ID
Authors

Chunhua Yang, Hang Cao, Ning Liu, Kai Xu, Meng Ding, Li-jun Mao

Abstract

Conditionally replicating adenoviruses have emerged as novel therapeutic agents for cancer. This study aimed to evaluate synergistic antitumor activity of replication-competent adenovirus armed with interleukin (IL)-18 (ZD55-IL-18) and dacarbazine (DTIC) against melanoma. Melanoma A375 cells or nude mouse tumor xenografts were treated with ZD55-IL-18 alone or together with DTIC. The results showed that ZD55-IL-18 competently replicated in A375 cells and expressed IL-18, and these were not affected by DTIC. ZD55-IL-18 enhanced the cytotoxicity of DTIC accompanied by increased apoptosis. Moreover, ZD55-IL-18 and DTIC synergistically inhibited the growth but promoted the apoptosis of A375 xenografts and inhibited vascular endothelial growth factor expression and lung metastasis in xenografts of nude mice. In conclusion, this is the first study to show synergistic anticancer activity of ZD55-IL-18 and DTIC for malignant melanoma. Our results provide evidence that chemo-gene-viro therapeutic approach has greater potential for malignant cancers than conventional chemotherapy or gene therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 20%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Other 1 5%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Immunology and Microbiology 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Agricultural and Biological Sciences 2 10%
Physics and Astronomy 1 5%
Other 3 15%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#1,754
of 2,268 outputs
Outputs of similar age
#277,948
of 317,812 outputs
Outputs of similar age from Drug Design, Development and Therapy
#35
of 48 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.