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1.
Nanomedicine ; 11(5): 1247-52, 2015 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-25752857

RESUMO

It is challenging to evaluate how tumour pathophysiology influences nanomedicine therapeutic effect; however, this is a key question in drug delivery. An advanced analytical method was developed to quantify the spatial distribution of drug-induced effect in tumours with varied stromal morphologies. The analysis utilises standard immunohistochemistry images and quantifies the frequency of positive staining as a function of distance from the stroma. Two stromal morphologies - Estuary and Tumour Island - were classified in 28 tumours from a lung cancer explant model in mice treated with liposomal doxorubicin. Analysis demonstrated that Estuary-like tumours presented a highly convoluted tumour-stroma interface, with most tumour cells in close proximity to vessels; these tumours were 8.8-fold more responsive to liposomal doxorubicin than were Tumour Island-like tumours, which were nearly unresponsive to liposomal doxorubicin. SDARS analysis allows the relative treatment effect to be assessed in tumours individually, and enables investigation of nanomedicine delivery in complex tumour pathophysiologies. FROM THE CLINICAL EDITOR: Advances in nanotechnology have brought about many novel treatment modalities for cancer. Nonetheless, there is no standard evaluation technique for tumor cells' drug response. The authors here utilized patient-derived tumour xenograft (PDTX) models to have a more translatable pre-clinical evaluation platform for nanomedicine drugs. They then used advanced imaging acquisition technique to analyze tumor stromal morphology, which they named Spatial Distribution of Apoptosis Relative to Stroma (SDARS). The findings would have significant clinical impact as it would help predict the eventual clinical drug response.


Assuntos
Antibióticos Antineoplásicos/uso terapêutico , Doxorrubicina/análogos & derivados , Neoplasias Pulmonares/patologia , Pulmão/patologia , Neoplasias de Células Escamosas/patologia , Algoritmos , Animais , Antibióticos Antineoplásicos/farmacologia , Apoptose/efeitos dos fármacos , Doxorrubicina/farmacologia , Doxorrubicina/uso terapêutico , Feminino , Humanos , Processamento de Imagem Assistida por Computador/métodos , Imuno-Histoquímica/métodos , Pulmão/efeitos dos fármacos , Neoplasias Pulmonares/tratamento farmacológico , Camundongos , Camundongos SCID , Neoplasias de Células Escamosas/tratamento farmacológico , Polietilenoglicóis/farmacologia , Polietilenoglicóis/uso terapêutico , Ensaios Antitumorais Modelo de Xenoenxerto
2.
Sci Rep ; 5: 17187, 2015 Dec 09.
Artigo em Inglês | MEDLINE | ID: mdl-26647838

RESUMO

Precision-cut slices of in vivo tumours permit interrogation in vitro of heterogeneous cells from solid tumours together with their native microenvironment. They offer a low throughput but high content in vitro experimental platform. Using mouse models as surrogates for three common human solid tumours, we describe a standardised workflow for systematic comparison of tumour slice cultivation methods and a tissue microarray-based method to archive them. Cultivated slices were compared to their in vivo source tissue using immunohistochemical and transcriptional biomarkers, particularly of cellular stress. Mechanical slicing induced minimal stress. Cultivation of tumour slices required organotypic support materials and atmospheric oxygen for maintenance of integrity and was associated with significant temporal and loco-regional changes in protein expression, for example HIF-1α. We recommend adherence to the robust workflow described, with recognition of temporal-spatial changes in protein expression before interrogation of tumour slices by pharmacological or other means.


Assuntos
Neoplasias/genética , Neoplasias/metabolismo , Neoplasias/patologia , Animais , Biomarcadores , Linhagem Celular Tumoral , Expressão Gênica , Xenoenxertos , Humanos , Imuno-Histoquímica/métodos , Camundongos , Oxigênio/metabolismo , Análise de Componente Principal , Reação em Cadeia da Polimerase em Tempo Real , Transdução de Sinais , Estresse Fisiológico , Análise Serial de Tecidos , Técnicas de Cultura de Tecidos
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