Tumor Take Rate Optimization for Colorectal Carcinoma Patient-Derived Xenograft Models

Author:

Gock Michael1ORCID,Kühn Florian1,Mullins Christina Susanne1,Krohn Mathias1,Prall Friedrich2,Klar Ernst1,Linnebacher Michael1ORCID

Affiliation:

1. Department of General, Vascular, Thoracic and Transplantation Surgery, University of Rostock, Schillingallee 35, 18055 Rostock, Germany

2. Institute of Pathology, University of Rostock, Strempelstraße 14, 18055 Rostock, Germany

Abstract

Background. For development of individualized treatment on a routine basis, transfer of patients’ tumor tissue in a xenograft model (i.e., generation of patient-derived xenografts (PDX)) is desirable for molecular, biochemical, or functional analyses. Drawbacks are dissatisfactory tumor take rates, the necessity of fast tumor tissue processing, and extensive logistics demanding teamwork of surgeons, pathologists, and laboratory researchers. Methods. The take rates of ten colorectal cancer (CRC) tissue samples in immunodeficient mice were compared after direct cryopreservation and after a 24 h cooling period at 4°C prior to cryopreservation. Additionally, the effect of simultaneous Matrigel application on the take rates was investigated. Beside take rates, tumor growth characteristics and cell culture success were analyzed. Results. Tumor takes of CRC tissue samples were significantly improved after Matrigel application (8 versus 15 takes, p=0.04). As expected, they diminished furthermore after 24 h cooling. Application of Matrigel could counteract this decrease significantly (2 versus 7 takes, p=0.03). Cumulative take rate after cryopreservation was satisfactory (70%). Conclusion. Matrigel application after 24 h delay in tissue processing facilitates CRC PDX model development. These data help developing strategies for individualized tumor therapies in the context of multicenter clinical studies and for basic research on primary patient tumors.

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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