کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2119276 1546788 2016 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Subrenal capsule grafting technology in human cancer modeling and translational cancer research
ترجمه فارسی عنوان
تکنولوژی پیوند کپسول Subrenal در مدلسازی سرطان انسانی و تحقیق سرطان ترجمه ای
کلمات کلیدی
پیوند کپسول Subrenal ؛ xenografts مشتق شده از بیمار؛ تحقیق سرطان؛ سرطان پروستات
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
چکیده انگلیسی

Patient-derived xenograft (PDX) cancer models with high fidelity are in great demand. While the majority of PDXs are grafted under the skin of immunodeficient mice, the Living Tumor Laboratory (LTL), using unique subrenal capsule grafting techniques, has successfully established more than 200 transplantable PDX models of various low to high grade human cancers. The LTL PDX models retain key biological properties of the original malignancies, including histopathological and molecular characteristics, tumor heterogeneity, metastatic ability, and response to treatment. The PDXs are stored frozen at early transplant generations in a resurrectable form, which eliminates continuous passaging in mice, thus ensuring maintenance of the high biologic and molecular fidelity and reproducibility of the models. The PDX models have been demonstrated to be powerful tools for (i) studies of cancer progression, metastasis and drug resistance, (ii) evidenced-based precision cancer therapy, (iii) preclinical drug efficacy testing and discovery of new anti-cancer drug candidates. To better provide resources for the research community, an LTL website (www.livingtumorlab.com) has been designed as a publicly accessible database which allows researchers to identify PDX models suitable for translational/preclinical cancer research. In summary, subrenal capsule grafting technology maximizes both tumor engraftment rate and retention of human cancer heterogeneity. Moreover, the method makes possible the recovery of PDXs from frozen stocks for further applications, thus providing a powerful platform for translational cancer research.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Differentiation - Volume 91, Issues 4–5, April–June 2016, Pages 15–19
نویسندگان
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