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Tumor Take Rate Optimization for Colorectal Carcinoma Patient-Derived Xenograft Models
Joint Authors
Klar, Ernst
Gock, Michael
Kühn, Florian
Mullins, Christina Susanne
Krohn, Mathias
Prall, Friedrich
Linnebacher, Michael
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-23
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gock, Michael& Kühn, Florian& Mullins, Christina Susanne& Krohn, Mathias& Prall, Friedrich& Klar, Ernst…[et al.]. 2016. Tumor Take Rate Optimization for Colorectal Carcinoma Patient-Derived Xenograft Models. BioMed Research International،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1096944
Modern Language Association (MLA)
Gock, Michael…[et al.]. Tumor Take Rate Optimization for Colorectal Carcinoma Patient-Derived Xenograft Models. BioMed Research International No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1096944
American Medical Association (AMA)
Gock, Michael& Kühn, Florian& Mullins, Christina Susanne& Krohn, Mathias& Prall, Friedrich& Klar, Ernst…[et al.]. Tumor Take Rate Optimization for Colorectal Carcinoma Patient-Derived Xenograft Models. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1096944
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096944