Engraftment is promoted by the combined loss of functional T and B cells and the severe impairment of natural killer cell activity. These immune deficiencies reduce the host’s ability to recognize and eliminate human tumor material. As a result, implanted human cells or tumor fragments can persist in vivo with limited immune rejection, supporting development of experimental tumor models.
NOG mice cannot signal effectively through the common gamma-chain cytokine receptor, adding a major immune deficiency to their lack of functional T and B cells. This disrupted signaling further limits immune responses against human material. The resulting environment helps researchers study human tumor behavior in a living mouse rather than only in cultured cells.
A xenograft study uses human tumor cells introduced into the mouse, whereas a patient-derived xenograft uses tumor fragments obtained from a patient. Both approaches rely on the mouse’s limited immune rejection, but they represent different experimental starting materials. Together, they allow cancer researchers to examine tumor growth and treatment responses using complementary model designs.
The model supports observation of human tumors after they establish in vivo, enabling researchers to follow tumor growth and investigate metastasis. Because the tumor develops within a living organism, experiments can assess disease behavior in an animal context rather than relying solely on cell-based observations. This makes the model useful for evaluating how tumors respond over time.
Researchers introduce human tumor cells or patient-derived tumor fragments into NOG mice and use the animals to establish xenograft or patient-derived xenograft models. Once a model is established, investigators can evaluate tumor growth and metastasis and compare treatment effects. The approach connects human tumor material with measurements made in a living experimental system.
NOG-based tumor models can be used to assess anticancer drugs, immunotherapies, and combination treatments. Researchers can examine how these interventions affect tumor growth or other model outcomes, including metastasis when that feature is being studied. Using the same in vivo framework for different treatment categories supports comparative investigation of therapeutic strategies in cancer research.