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

Hiroshi Haeno, Mithat Gonen, Meghan B. Davis, Joseph M. Herman, Christine A. Iacobuzio-Donahue, Franziska Michor

研究成果: ジャーナルへの寄稿記事

226 引用 (Scopus)

抄録

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.

元の言語英語
ページ(範囲)362-375
ページ数14
ジャーナルCell
148
発行部数1-2
DOI
出版物ステータス出版済み - 1 20 2012

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Pancreatic Neoplasms
Neoplasm Metastasis
Kinetics
Ports and harbors
Tumors
Growth
Therapeutics
Autopsy
Neoplasms
Databases
Survival

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

これを引用

Haeno, H., Gonen, M., Davis, M. B., Herman, J. M., Iacobuzio-Donahue, C. A., & Michor, F. (2012). Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies. Cell, 148(1-2), 362-375. https://doi.org/10.1016/j.cell.2011.11.060

Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies. / Haeno, Hiroshi; Gonen, Mithat; Davis, Meghan B.; Herman, Joseph M.; Iacobuzio-Donahue, Christine A.; Michor, Franziska.

:: Cell, 巻 148, 番号 1-2, 20.01.2012, p. 362-375.

研究成果: ジャーナルへの寄稿記事

Haeno, H, Gonen, M, Davis, MB, Herman, JM, Iacobuzio-Donahue, CA & Michor, F 2012, 'Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies', Cell, 巻. 148, 番号 1-2, pp. 362-375. https://doi.org/10.1016/j.cell.2011.11.060
Haeno, Hiroshi ; Gonen, Mithat ; Davis, Meghan B. ; Herman, Joseph M. ; Iacobuzio-Donahue, Christine A. ; Michor, Franziska. / Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies. :: Cell. 2012 ; 巻 148, 番号 1-2. pp. 362-375.
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