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Cancer Xenograft Models

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Cancer Xenograft Models Introduction

Mouse models of cancer have consistently been used to determine the in vivo activity of new anti-cancer therapeutics prior to clinical development and testing in humans.

The most common models are xenografts of human tumors and cell lines grown subcutaneously in immunodeficient mice such as athymic (nude) or severe combined immune deficient (SCID) mice. These mouse strains exhibit very high take rates for xenografts, making them ideal hosts for in vivo propagation of human tumor cells.

Xenograft tumors are usually established via subcutaneous inoculation of a predetermined number of tumor cells into the flank of nude mice. Xenograft models are commonly used to determine ideal drug dosing, treatment schedules, and routes of drug administration that maximize anti-tumor efficacy and therapeutic window. The following are a few examples of cancer xenograft models performed.

Cancer Xenograft Models

Cancer Xenograft Models

Medicilon boasts nearly 300 tumor evaluation models. At the same time, we are empowering innovative therapies to comprehensively evaluate and study immuno-oncology. We have completed model establishment and efficacy evaluation of immuno-therapies such as CAR-T, TCR-T, CAR-NK, oncolytic virus, antibody (monoclonal antibody, double antibody, polyclonal antibody, etc.), siRNA, AAV.

Tumor Animal Model Medicilon Has Established:

 ❖ PDX Models

 ❖ Transgenic Models

 ❖ Humanized Mouse Models

 ❖ Syngeneic Mouse Models

 ❖ Orthotopic Cancer Models

 ❖ Xenograft Models

Xenograft Protocol

Human cancer cells were injected subcutaneously into the right flank of 8 week old female NU NU nude mice (Crl:NU-Foxn1nu):

  • ASPC-1 human pancreatic cancer cells

  • HCT-116 human colon cancer cells

  • A549 lung cancer cells

  • SKOV-3 ovarian cancer cells

Tumor size measurements were initiated 8 days post inoculation and monitored three times per week.

Tumor measurements were evaluated using calipers; tumor size was calculated using the following formula: MIN (L:W)2 x MAX(L:W)/2. Data are plotted as mean tumor volume +/- standard error of the mean.

Cancer Xenograft Models Tomur VolumeCancer Xenograft Models MedicilonCancer Xenograft Models SKOV-3

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