Colorectal Carcinoma Xenograft

A colorectal carcinoma xenograft is an in vivo research model created by implanting human colorectal cancer cells or tumor tissue into an immunodeficient animal, allowing tumor growth in a living system. Because reduced immune activity limits rejection of the human graft, the implanted cells can form tumors that retain key features of colorectal carcinoma and respond to experimental treatment. Researchers use these models to assess tumor growth, drug exposure, therapeutic efficacy, and toxicity before clinical studies. In chemistry and drug discovery, colorectal carcinoma xenografts help connect compound structure and biological activity with measurable outcomes such as tumor regression or delayed progression.

Colorectal Carcinoma Xenograft - Related Videos

Research

JoVE Journal - Medicine

Generation of Subcutaneous and Intrahepatic Human Hepatocellular Carcinoma Xenografts in Immunodeficient Mice

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Cited by 15 •

2013

Human tumor xenografts in immunodeficient mice are valuable tools to study cancer biology. Specific protocols to generate subcutaneous and intrahepatic xenografts from human hepatocellular carcinoma cells or tumor fragments are described. Liver regeneration induced by partial hepatectomy in recipient mice is presented as a strategy to facilitate intrahepatic engraftment.

The In Ovo Chick Chorioallantoic Membrane (CAM) Assay as an Efficient Xenograft Model of Hepatocellular Carcinoma

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Cited by 62 •

2015

The chick chorioallantoic membrane (CAM) is immunodeficient and highly vascularized, making it a natural in vivo model of tumor growth and angiogenesis. In this protocol, we describe a reliable method of growing three-dimensional, vascularized hepatocellular carcinoma (HCC) tumors using the CAM assay.

Generating PDOX Mouse Model of Colorectal Cancer: Studying Progression of Colorectal Cancer in a Murine Model

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2023

This video describes the protocol for generating a patient-derived orthotopic xenograft colorectal cancer mouse model to study the progression of colorectal cancer cells in non-obese diabetic/severe combined immunodeficiency (NOD/SCID) mice. This murine model helps in understanding primary tumor growth and metastases pattern.

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

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Cited by 1 •

2025

This study evaluates prognostic systems for colorectal signet-ring cell carcinoma patients using machine learning models and competing risk analyses. It identifies log odds of positive lymph nodes as a superior predictor compared to pN staging, demonstrating strong predictive performance and aiding clinical decision-making through robust survival prediction tools.

Patient-derived Tumor Xenografting: A Technique to Generate Experimental Mouse Model for Evaluating Urothelial Cell Carcinoma

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2023

This video describes the procedure to generate an experimental xenograft murine model, which can be used for studying urothelial cell carcinoma progression.

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