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A tissue-engineered subcutaneous pancreatic cancer model for antitumor drug evaluation

Overview of attention for article published in International Journal of Nanomedicine, March 2013
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Title
A tissue-engineered subcutaneous pancreatic cancer model for antitumor drug evaluation
Published in
International Journal of Nanomedicine, March 2013
DOI 10.2147/ijn.s42464
Pubmed ID
Authors

Qingyi He, Xiaohui Wang, Xing Zhang, Huifang Han, Baosan Han, Jianzhong Xu, Kanglai Tang, Zhiren Fu, Hao Yin

Abstract

The traditional xenograft subcutaneous pancreatic cancer model is notorious for its low incidence of tumor formation, inconsistent results for the chemotherapeutic effects of drug molecules of interest, and a poor predictive capability for the clinical efficacy of novel drugs. These drawbacks are attributed to a variety of factors, including inoculation of heterogeneous tumor cells from patients with different pathological histories, and use of poorly defined Matrigel(®). In this study, we aimed to tissue-engineer a pancreatic cancer model that could readily cultivate a pancreatic tumor derived from highly homogenous CD24(+)CD44(+) pancreatic cancer stem cells delivered by a well defined electrospun scaffold of poly(glycolide-co-trimethylene carbonate) and gelatin. The scaffold supported in vitro tumorigenesis from CD24(+)CD44(+) cancer stem cells for up to 7 days without inducing apoptosis. Moreover, CD24(+)CD44(+) cancer stem cells delivered by the scaffold grew into a native-like mature pancreatic tumor within 8 weeks in vivo and exhibited accelerated tumorigenesis as well as a higher incidence of tumor formation than the traditional model. In the scaffold model, we discovered that oxaliplatin-gemcitabine (OXA-GEM), a chemotherapeutic regimen, induced tumor regression whereas gemcitabine alone only capped tumor growth. The mechanistic study attributed the superior antitumorigenic performance of OXA-GEM to its ability to induce apoptosis of CD24(+)CD44(+) cancer stem cells. Compared with the traditional model, the scaffold model demonstrated a higher incidence of tumor formation and accelerated tumor growth. Use of a tiny population of highly homogenous CD24(+)CD44(+) cancer stem cells delivered by a well defined scaffold greatly reduces the variability associated with the traditional model, which uses a heterogeneous tumor cell population and poorly defined Matrigel. The scaffold model is a robust platform for investigating the antitumorigenesis mechanism of novel chemotherapeutic drugs with a special focus on cancer stem cells.

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Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 5 14%
Student > Bachelor 4 11%
Other 4 11%
Student > Master 3 9%
Other 6 17%
Unknown 8 23%
Readers by discipline Count As %
Engineering 5 14%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Unspecified 1 3%
Other 7 20%
Unknown 9 26%
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 15 April 2013.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from International Journal of Nanomedicine
#3,113
of 4,077 outputs
Outputs of similar age
#159,453
of 206,591 outputs
Outputs of similar age from International Journal of Nanomedicine
#44
of 56 outputs
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.