Paper
9 March 2012 Probing tumor-stroma interactions and response to photodynamic therapy in a 3D pancreatic cancer-fibroblast co-culture model
Michael D. Glidden, Iqbal Massodi, Imran Rizvi, Jonathan P. Celli, Tayyaba Hasan
Author Affiliations +
Abstract
Pancreatic ductal adenocarcinoma is a lethal disease that is often unresectable by the time of diagnosis and is typically non-responsive to chemo- and radiotherapy, resulting in a five year survival of only 3%. Tumors of the pancreas are characterized by a dense fibrous stroma rich in extracellular matrix proteins, which is implicated in poor therapeutic response, though its precise roles remain poorly understood. Indeed, while the use of therapeutics that target the stroma is an emerging paradigm in the clinical management of this disease, the primary focus of such efforts is to enhance drug penetration through dense fibrous stroma and it is unclear to what extent the characteristically rigid stroma of pancreatic tumors imparts drug resistance by acting as a complex signaling partner, or merely as a physical barrier for drug delivery. Here we use 3D in vitro co-cultures of pancreatic cancer cells and normal human fibroblasts as a model system to study heterotypic interactions between these populations. Leveraging this in vitro model along with image-based methods for quantification of growth and therapeutic endpoints, we characterize these co-cultures and examine the role of verteporfin-based photodynamic therapy (PDT) for targeting tumor-fibroblast interactions in pancreatic tumors.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael D. Glidden, Iqbal Massodi, Imran Rizvi, Jonathan P. Celli, and Tayyaba Hasan "Probing tumor-stroma interactions and response to photodynamic therapy in a 3D pancreatic cancer-fibroblast co-culture model", Proc. SPIE 8210, Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXI, 821006 (9 March 2012); https://doi.org/10.1117/12.910924
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Cited by 3 scholarly publications.
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KEYWORDS
Tumors

Photodynamic therapy

3D modeling

Tumor growth modeling

Pancreatic cancer

In vitro testing

3D image processing

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