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Combination of Paclitaxel and MG1 oncolytic virus as a successful strategy for breast cancer treatment

Overview of attention for article published in Breast Cancer Research, August 2016
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Combination of Paclitaxel and MG1 oncolytic virus as a successful strategy for breast cancer treatment
Published in
Breast Cancer Research, August 2016
DOI 10.1186/s13058-016-0744-y
Pubmed ID
Authors

Marie-Claude Bourgeois-Daigneault, Lauren Elizabeth St-Germain, Dominic Guy Roy, Adrian Pelin, Amelia Sadie Aitken, Rozanne Arulanandam, Theresa Falls, Vanessa Garcia, Jean-Simon Diallo, John Cameron Bell

Abstract

Breast cancer is the most common malignant disease amongst Western women. The lack of treatment options for patients with chemotherapy-resistant or recurrent cancers is pushing the field toward the rapid development of novel therapies. The use of oncolytic viruses is a promising approach for the treatment of disseminated diseases like breast cancer, with the first candidate recently approved by the Food and Drug Administration for use in patients. In this report, we demonstrate the compatibility of oncolytic virotherapy and chemotherapy using various murine breast cancer models. This one-two punch has been explored in the past by several groups with different viruses and drugs and was shown to be a successful approach. Our strategy is to combine Paclitaxel, one of the most common drugs used to treat patients with breast cancer, and the oncolytic Rhabdovirus Maraba-MG1, a clinical trial candidate in a study currently recruiting patients with late-stage metastatic cancer. We used the EMT6, 4 T1 and E0771 murine breast cancer models to evaluate in vitro and in vivo the effects of co-treatment with MG1 and Paclitaxel. Treatment-induced cytotoxicity was assessed and plaque assays, flow cytometry, microscopy and immunocytochemistry analysis were performed to quantify virus production and transgene expression. Orthotopically implanted tumors were measured during and after treatment to evaluate efficacy and Kaplan-Meier survival curves were generated. Our data demonstrate not only the compatibility of the treatments, but also their synergistic cytopathic activity. With Paclitaxel, EMT6 and 4 T1 tumors demonstrated increased virus production both in vitro and in vivo. Our results also show that Paclitaxel does not impair the safety profile of the virus treatment. Importantly, when combined, MG1 and the drug controlled tumor growth and prolonged survival. The combination of MG1 and Paclitaxel improved efficacy in all of the breast cancer models we tested and thus is a promising alternative approach for the treatment of patients with refractory breast cancer. Our strategy has potential for rapid translation to the clinic, given the current clinical status of both agents.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 18%
Researcher 17 15%
Student > Master 11 10%
Student > Ph. D. Student 9 8%
Student > Doctoral Student 9 8%
Other 14 13%
Unknown 31 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 29%
Medicine and Dentistry 14 13%
Immunology and Microbiology 10 9%
Pharmacology, Toxicology and Pharmaceutical Science 8 7%
Agricultural and Biological Sciences 4 4%
Other 10 9%
Unknown 33 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 November 2017.
All research outputs
#6,571,725
of 25,373,627 outputs
Outputs from Breast Cancer Research
#755
of 2,052 outputs
Outputs of similar age
#104,746
of 378,559 outputs
Outputs of similar age from Breast Cancer Research
#11
of 28 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 378,559 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.