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Assessing chemotherapeutic effectiveness using a paper-based tumor model.

Authors :
Boyce, Matthew W.
LaBonia, Gabriel J.
Hummon, Amanda B.
Lockett, Matthew R.
Source :
Analyst. 8/7/2017, Vol. 142 Issue 15, p2819-2827. 9p.
Publication Year :
2017

Abstract

In vitro models for screening new cancer chemotherapeutics often rely on two-dimensional cultures to predict therapeutic potential. Unfortunately, the predictive power of these models is limited, as they fail to recapitulate the complex three-dimensional environments in tumors that promote a chemoresistant phenotype. In this study, we describe the preparation and characterization of paper-based cultures (PBCs) engineered to assess chemotherapeutic effectiveness in three dimensional, diffusion-limited environments. Similar environments are found in poorly vascularized tumors. Monotonic gradients develop across these cultures, which are assembled by stacking cell-laden paper scaffolds to yield thick tissue-like structures, and provide distinct chemical environments for each scaffold. After prolonged incubation, the scaffolds can simply be peeled apart and analyzed. Through fluorescence imaging, we determined that viable and proliferative cell populations were most abundant in scaffolds close to the nutrient-rich medium. By adjusting the cell density, we modulated the spatiotemporal evolution of oxygen gradients across the cultures and correlated these environmental changes with cellular sensitivity to SN-38 exposure. From these results, we showed that differences in the oxygen gradients produced cellular populations with significantly different chemosensitivities. Through this work, we highlight PBCs ability to serve as an analytical model capable of determining chemotherapeutic effectiveness under a range of chemical environments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032654
Volume :
142
Issue :
15
Database :
Academic Search Index
Journal :
Analyst
Publication Type :
Academic Journal
Accession number :
124289342
Full Text :
https://doi.org/10.1039/c7an00806f