Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies Journal Article


Authors: Haeno, H.; Gonen, M.; Davis, M. B.; Herman, J. M.; Iacobuzio-Donahue, C. A.; Michor, F.
Article Title: Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies
Abstract: Pancreatic cancer is a leading cause of cancer-related death, largely due to metastatic dissemination. We investigated pancreatic cancer progression by utilizing a mathematical framework of metastasis formation together with comprehensive data of 228 patients, 101 of whom had autopsies. We found that pancreatic cancer growth is initially exponential. After estimating the rates of pancreatic cancer growth and dissemination, we determined that patients likely harbor metastases at diagnosis and predicted the number and size distribution of metastases as well as patient survival. These findings were validated in an independent database. Finally, we analyzed the effects of different treatment modalities, finding that therapies that efficiently reduce the growth rate of cells earlier in the course of treatment appear to be superior to upfront tumor resection. These predictions can be validated in the clinic. Our interdisciplinary approach provides insights into the dynamics of pancreatic cancer metastasis and identifies optimum therapeutic interventions. © 2012 Elsevier Inc.
Journal Title: Cell
Volume: 148
Issue: 1-2
ISSN: 0092-8674
Publisher: Cell Press  
Date Published: 2012-01-20
Start Page: 362
End Page: 375
Language: English
DOI: 10.1016/j.cell.2011.11.060
PROVIDER: scopus
PMCID: PMC3289413
PUBMED: 22265421
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 1 March 2012" - "CODEN: CELLB" - "Source: Scopus"
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  1. Mithat Gonen
    1028 Gonen