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Characterization of CC-531 as a Rat Model of Colorectal Liver Metastases. PLoS One 2016;11(5):e0155334



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Pubmed Central ID




Scopus ID

2-s2.0-84969528718   10 Citations


PURPOSE: Surgical resection of colorectal liver metastases is not achievable in more than 70% of the cases. Although the liver directed therapies have become a part of the stand of care, lack of a preclinical model impedes the assessment of toxicity and therapeutic benefits attributed several candidate drugs or treatment regimens that can be designed. In the present study we aim develop and characterize a rat colorectal liver metastasis model.

MATERIALS AND METHODS: Growth characteristics of CC-531 cells were determined in vitro followed by subcapsular liver implantation in syngeneic WAG/Rij rats. Tumor growth progression was followed over 3 weeks by ultrasound (US) and magnetic resonance imaging (MRI). Growth characteristics were also assessed by histopathology and immunohistochemistry in harvested tumor tissues.

RESULTS: The doubling time of CC-531 cells was found be under 24hrs and all the implanted rats grew tumors. US imaging showed hypoechoic masses and MRI showed contrast enhancement representing complex tumor microenvironments. Hematoxylin and Eosin staining confirmed tumor growth and uniform CD31 staining in tumor confirmed even vessel density.

CONCLUSION: CC-531 can be used as a metastatic rat tumor colorectal liver metastases model with well-defined characteristics that can be readily followed by imaging whilst having a therapeutic window for interventions.

Author List

White SB, Procissi D, Chen J, Gogineni VR, Tyler P, Yang Y, Omary RA, Larson AC


Venkateswara R. Gogineni PhD Assistant Professor in the Radiology department at Medical College of Wisconsin
Sarah B. White MD, MS, FSIR, FCIRSE Vice Chair, Professor in the Radiology department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Cell Line, Tumor
Cell Proliferation
Colorectal Neoplasms
Disease Models, Animal
Liver Neoplasms
Magnetic Resonance Imaging