Longitudinal Bioluminescence Imaging of Primary Versus Abdominal Metastatic Tumor Growth in Orthotopic Pancreatic Tumor Models in NSG Mice

Harlan E. Shannon, Melissa L. Fishel, Jingwu Xie, Dongsheng Gu, Brian P. McCarthy, Amanda A. Riley, Anthony L. Sinn, Jayne M. Silver, Kacie Peterman, Mark R. Kelley, Helmut Hanenberg, Murray Korc, Karen E. Pollok, Paul R. Territo

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

OBJECTIVES: The purpose of the present study was to develop and validate noninvasive bioluminescence imaging methods for differentially monitoring primary and abdominal metastatic tumor growth in mouse orthotopic models of pancreatic cancer.

METHODS: A semiautomated maximum entropy segmentation method was implemented for the primary tumor region of interest, and a rule-based method for manually drawing a region of interest for the abdominal metastatic region was developed for monitoring tumor growth in orthotopic models of pancreatic cancer. The 2 region-of-interest methods were validated by having 2 observers independently segment Panc-1 tumors, and the results were compared with the number of mesenteric lymph node nodules and histopathologic assessment of liver metastases. The findings were extended to orthotopic tumors of the more metastatic MIA PaCa-2 and AsPC-1 cells where separate groups of animals were implanted with different numbers of cells.

RESULTS: The results demonstrated that the segmentation methods were highly reliable, reproducible, and robust and allowed statistically significant discrimination in the growth rates of primary and abdominal metastatic tumors of different cell lines implanted with different numbers of cells.

CONCLUSIONS: The present results demonstrate that primary tumors and abdominal metastatic foci in orthotopic pancreatic cancer models can be reliably quantified separately and noninvasively over time with bioluminescence imaging.

Original languageEnglish (US)
JournalPancreas
DOIs
StateAccepted/In press - Nov 18 2014

Fingerprint

Growth
Pancreatic Neoplasms
Neoplasms
Cell Count
Entropy
Tumor Cell Line
Lymph Nodes
Neoplasm Metastasis
Liver

ASJC Scopus subject areas

  • Hepatology
  • Internal Medicine
  • Endocrinology
  • Endocrinology, Diabetes and Metabolism

Cite this

Longitudinal Bioluminescence Imaging of Primary Versus Abdominal Metastatic Tumor Growth in Orthotopic Pancreatic Tumor Models in NSG Mice. / Shannon, Harlan E.; Fishel, Melissa L.; Xie, Jingwu; Gu, Dongsheng; McCarthy, Brian P.; Riley, Amanda A.; Sinn, Anthony L.; Silver, Jayne M.; Peterman, Kacie; Kelley, Mark R.; Hanenberg, Helmut; Korc, Murray; Pollok, Karen E.; Territo, Paul R.

In: Pancreas, 18.11.2014.

Research output: Contribution to journalArticle

Shannon, Harlan E. ; Fishel, Melissa L. ; Xie, Jingwu ; Gu, Dongsheng ; McCarthy, Brian P. ; Riley, Amanda A. ; Sinn, Anthony L. ; Silver, Jayne M. ; Peterman, Kacie ; Kelley, Mark R. ; Hanenberg, Helmut ; Korc, Murray ; Pollok, Karen E. ; Territo, Paul R. / Longitudinal Bioluminescence Imaging of Primary Versus Abdominal Metastatic Tumor Growth in Orthotopic Pancreatic Tumor Models in NSG Mice. In: Pancreas. 2014.
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abstract = "OBJECTIVES: The purpose of the present study was to develop and validate noninvasive bioluminescence imaging methods for differentially monitoring primary and abdominal metastatic tumor growth in mouse orthotopic models of pancreatic cancer.METHODS: A semiautomated maximum entropy segmentation method was implemented for the primary tumor region of interest, and a rule-based method for manually drawing a region of interest for the abdominal metastatic region was developed for monitoring tumor growth in orthotopic models of pancreatic cancer. The 2 region-of-interest methods were validated by having 2 observers independently segment Panc-1 tumors, and the results were compared with the number of mesenteric lymph node nodules and histopathologic assessment of liver metastases. The findings were extended to orthotopic tumors of the more metastatic MIA PaCa-2 and AsPC-1 cells where separate groups of animals were implanted with different numbers of cells.RESULTS: The results demonstrated that the segmentation methods were highly reliable, reproducible, and robust and allowed statistically significant discrimination in the growth rates of primary and abdominal metastatic tumors of different cell lines implanted with different numbers of cells.CONCLUSIONS: The present results demonstrate that primary tumors and abdominal metastatic foci in orthotopic pancreatic cancer models can be reliably quantified separately and noninvasively over time with bioluminescence imaging.",
author = "Shannon, {Harlan E.} and Fishel, {Melissa L.} and Jingwu Xie and Dongsheng Gu and McCarthy, {Brian P.} and Riley, {Amanda A.} and Sinn, {Anthony L.} and Silver, {Jayne M.} and Kacie Peterman and Kelley, {Mark R.} and Helmut Hanenberg and Murray Korc and Pollok, {Karen E.} and Territo, {Paul R.}",
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AU - Fishel, Melissa L.

AU - Xie, Jingwu

AU - Gu, Dongsheng

AU - McCarthy, Brian P.

AU - Riley, Amanda A.

AU - Sinn, Anthony L.

AU - Silver, Jayne M.

AU - Peterman, Kacie

AU - Kelley, Mark R.

AU - Hanenberg, Helmut

AU - Korc, Murray

AU - Pollok, Karen E.

AU - Territo, Paul R.

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N2 - OBJECTIVES: The purpose of the present study was to develop and validate noninvasive bioluminescence imaging methods for differentially monitoring primary and abdominal metastatic tumor growth in mouse orthotopic models of pancreatic cancer.METHODS: A semiautomated maximum entropy segmentation method was implemented for the primary tumor region of interest, and a rule-based method for manually drawing a region of interest for the abdominal metastatic region was developed for monitoring tumor growth in orthotopic models of pancreatic cancer. The 2 region-of-interest methods were validated by having 2 observers independently segment Panc-1 tumors, and the results were compared with the number of mesenteric lymph node nodules and histopathologic assessment of liver metastases. The findings were extended to orthotopic tumors of the more metastatic MIA PaCa-2 and AsPC-1 cells where separate groups of animals were implanted with different numbers of cells.RESULTS: The results demonstrated that the segmentation methods were highly reliable, reproducible, and robust and allowed statistically significant discrimination in the growth rates of primary and abdominal metastatic tumors of different cell lines implanted with different numbers of cells.CONCLUSIONS: The present results demonstrate that primary tumors and abdominal metastatic foci in orthotopic pancreatic cancer models can be reliably quantified separately and noninvasively over time with bioluminescence imaging.

AB - OBJECTIVES: The purpose of the present study was to develop and validate noninvasive bioluminescence imaging methods for differentially monitoring primary and abdominal metastatic tumor growth in mouse orthotopic models of pancreatic cancer.METHODS: A semiautomated maximum entropy segmentation method was implemented for the primary tumor region of interest, and a rule-based method for manually drawing a region of interest for the abdominal metastatic region was developed for monitoring tumor growth in orthotopic models of pancreatic cancer. The 2 region-of-interest methods were validated by having 2 observers independently segment Panc-1 tumors, and the results were compared with the number of mesenteric lymph node nodules and histopathologic assessment of liver metastases. The findings were extended to orthotopic tumors of the more metastatic MIA PaCa-2 and AsPC-1 cells where separate groups of animals were implanted with different numbers of cells.RESULTS: The results demonstrated that the segmentation methods were highly reliable, reproducible, and robust and allowed statistically significant discrimination in the growth rates of primary and abdominal metastatic tumors of different cell lines implanted with different numbers of cells.CONCLUSIONS: The present results demonstrate that primary tumors and abdominal metastatic foci in orthotopic pancreatic cancer models can be reliably quantified separately and noninvasively over time with bioluminescence imaging.

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