Title | Preclinical model of organotypic culture for pharmacodynamic profiling of human tumors. |
Publication Type | Journal Article |
Year of Publication | 2010 |
Authors | Vaira V, Fedele G, Pyne S, Fasoli E, Zadra G, Bailey D, Snyder E, Faversani A, Coggi G, Flavin R, Bosari S, Loda M |
Journal | Proc Natl Acad Sci U S A |
Volume | 107 |
Issue | 18 |
Pagination | 8352-6 |
Date Published | 2010 May 04 |
ISSN | 1091-6490 |
Keywords | Biopsy, Cell Shape, Cell Survival, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Neoplasms, Phosphatidylinositol 3-Kinases, Phosphoinositide-3 Kinase Inhibitors, Protein Kinase Inhibitors, Signal Transduction, Tissue Culture Techniques |
Abstract | Predicting drug response in cancer patients remains a major challenge in the clinic. We have perfected an ex vivo, reproducible, rapid and personalized culture method to investigate antitumoral pharmacological properties that preserves the original cancer microenvironment. Response to signal transduction inhibitors in cancer is determined not only by properties of the drug target but also by mutations in other signaling molecules and the tumor microenvironment. As a proof of concept, we, therefore, focused on the PI3K/Akt signaling pathway, because it plays a prominent role in cancer and its activity is affected by epithelial-stromal interactions. Our results show that this culture model preserves tissue 3D architecture, cell viability, pathway activity, and global gene-expression profiles up to 5 days ex vivo. In addition, we show pathway modulation in tumor cells resulting from pharmacologic intervention in ex vivo culture. This technology may have a significant impact on patient selection for clinical trials and in predicting response to small-molecule inhibitor therapy. |
DOI | 10.1073/pnas.0907676107 |
Alternate Journal | Proc Natl Acad Sci U S A |
PubMed ID | 20404174 |
PubMed Central ID | PMC2889536 |
Grant List | P01CA89021 / CA / NCI NIH HHS / United States R01CA131945 / CA / NCI NIH HHS / United States P50CA90381 / CA / NCI NIH HHS / United States |
Related Lab:
Related Faculty:
Massimo Loda, M.D.