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

Biomed Res Int. 2016:2016:1715053. doi: 10.1155/2016/1715053. Epub 2016 Nov 23.

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.

MeSH terms

  • Animals
  • Colorectal Neoplasms* / metabolism
  • Colorectal Neoplasms* / pathology
  • Colorectal Neoplasms* / physiopathology
  • Cryopreservation*
  • Female
  • Heterografts
  • Humans
  • Male
  • Mice
  • Neoplasm Transplantation*
  • Neoplasms, Experimental* / metabolism
  • Neoplasms, Experimental* / pathology
  • Neoplasms, Experimental* / physiopathology
  • Time Factors