Tumor Xenograft Models

Xenograft models involve transplanting human tumor tissues or cells into immunodeficient mice, thereby faithfully simulating the growth, metastasis, and microenvironmental characteristics of human tumors in an *in vivo* setting. Cell line-derived xenograft (CDX) models, characterized by short timelines and high reproducibility, are well-suited for large-scale efficacy evaluations during the early stages of drug development. To meet the need for personalized therapies that accurately reflect clinical realities, patient-derived xenograft (PDX) models were developed; by directly transplanting fresh patient tumor tissue, these models preserve the genomic features and histological heterogeneity of the original tumor. Additionally, xenograft models generated via gene-editing technologies provide a cutting-edge platform for investigating the mechanisms of immune rejection and coagulation associated with cross-species transplantation.

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Related Experimental Schemes

Patient-derived xenograft (PDX) models are generated by engrafting primary human tumor tissue directly into immunodeficient mice, allowing in vivo propagation of patient tumor biology without initial in vitro adaptation. These models are used to preserve key histopathological and molecular characteristics of the original tumor and enable assessment of tumor growth dynamics and therapeutic response in a living organism. The biological readout is tumor engraftment and subsequent growth in the murine host, which reflects the ability of human tumor cells to survive, vascularize, and expand in an immunocompromised microenvironment.
Intracardiac xenograft metastasis models are based on the direct delivery of fluorescent or bioluminescent tumor cells into the left ventricle of immunocompromised mice, allowing systemic arterial dissemination that mimics hematogenous spread and enables colonization of distant organs such as bone, brain, and lung. Real-time bioluminescence imaging (BLI) is used to non-invasively track tumor cell seeding, survival, and metastatic outgrowth over time, reflecting early arrest in capillary beds followed by organ-specific colonization and proliferation.
Subcutaneous cell-line-derived xenograft (CDX) models are established by implanting cultured human cancer cell lines into immunodeficient mice, where the injected cells form localized tumors that can be monitored in vivo as a measure of tumorigenic potential, growth kinetics, and treatment response. These models are widely used in oncology research because they allow reproducible tumor formation and enable comparative assessment of tumor growth between different cell lines or genetic manipulations in a controlled in vivo microenvironment. Subcutaneous implantation of cancer cells in immunodeficient mice is a standard approach for evaluating tumor growth behavior and therapeutic response across multiple cancer types, including prostate, esophageal, pancreatic, and colon cancer models.
Orthotopic cell-line xenograft models involve implantation of human cancer cell lines into the anatomically corresponding organ of immunodeficient mice to reproduce tumor growth within a native microenvironment, enabling more clinically relevant tumor behavior compared with subcutaneous models. These models are widely used because orthotopic placement better recapitulates tumor progression, including invasion and metastatic spread, which are often underrepresented in heterotopic implantation systems. Compared with conventional xenografts, orthotopic implantation is described as more technically complex but provides improved simulation of tumor-microenvironment interactions and metastatic behavior, making it particularly valuable for translational oncology research. Surgical orthotopic implantation approaches have been emphasized as enabling faithful reproduction of clinical cancer features, including metastasis and disease progression patterns that align with the tumor’s organ of origi
Intraperitoneal (IP) or peritoneal dissemination xenograft models are based on the introduction of human cancer cells into the peritoneal cavity of immunodeficient mice, where they attach to peritoneal surfaces, form multicellular aggregates or spheroids, and progressively generate disseminated tumor nodules that mimic advanced peritoneal metastatic disease. These models are widely used to study ovarian cancer progression, tumor-microenvironment interactions, and intraperitoneal therapeutic responses, often incorporating bioluminescence or fluorescence imaging to longitudinally monitor tumor burden in vivo. The biological principle relies on the capacity of tumor cells such as SKOV3 or related ovarian carcinoma lines to survive in suspension, aggregate within ascites-like fluid, adhere to mesothelial surfaces, and invade peritoneal organs, thereby recapitulating human peritoneal carcinomatosis patterns observed in advanced disease.
Patient-derived orthotopic xenograft (PDOX) modeling implants fresh patient tumor tissue or patient-derived tumor cells into the anatomically corresponding organ or tissue site of immunodeficient mice, usually by surgical orthotopic implantation, to preserve patient tumor histology, local microenvironmental context, invasion, metastatic behavior, and treatment-response features better than subcutaneous implantation. PDOX readouts include tumor engraftment, orthotopic tumor growth, local invasion, metastasis, recurrence after resection, histologic similarity to the donor tumor, biomarker retention, molecular concordance, survival, and response or resistance to therapy. PDOX models are used for preclinical drug testing and individualized therapy evaluation, but engraftment success varies by tumor type and specimen quality.
Tail-vein experimental metastasis xenograft models assess the ability of injected tumor cells to survive circulation, arrest in vascular beds, extravasate, and colonize distant organs, most commonly lung after lateral tail-vein injection; this model bypasses primary-tumor formation, local invasion, and intravasation, so the readout reflects late metastatic colonization rather than the full metastatic cascade. The main readouts are metastatic burden measured by bioluminescence imaging, gross metastatic nodules, histology, organ weight, survival, or ex vivo tumor-cell quantification; luciferase-labeled tumor cells permit longitudinal noninvasive monitoring, while histology confirms organ colonization and tissue localization.
Brain orthotopic xenograft models are generated by stereotactically implanting tumor cells or patient-derived tumor material into the brain of immunodeficient mice so tumor growth occurs within the intracranial microenvironment rather than at a subcutaneous site. The assay detects intracranial tumor engraftment, growth, invasion, treatment response, and survival; readouts are generated by longitudinal bioluminescence imaging, fluorescence imaging, MRI, CT or micro-CT, necropsy, and histologic confirmation of tumor burden and brain invasion.
Splenic and portal-vein liver metastasis xenograft models deliver tumor cells into the portal circulation so that cells reach the liver first and form hepatic metastatic lesions; splenic injection uses the spleen as an access route to the portal system, while direct portal-vein injection introduces cells into the portal vein without requiring splenectomy. The assay detects liver colonization, intrahepatic tumor growth, tumor distribution, treatment response, survival, and liver-metastasis microenvironment changes; readouts include bioluminescence or fluorescence imaging, gross liver nodule counts, liver weight or tumor burden, histology, and survival.
Bioluminescent and fluorescent imaging xenograft models use tumor cells engineered to express optical reporters so tumor engraftment, growth, dissemination, and treatment response can be monitored longitudinally in living animals and validated ex vivo. Bioluminescence imaging usually measures luciferase activity after substrate administration and is commonly used as a surrogate for viable reporter-expressing tumor burden, while fluorescence imaging measures reporter or probe emission and can support tumor localization, ex vivo confirmation, or complementary multimodal analysis.