Tramp Prostate Tumor
Tramp Prostate Tumor - Related Videos
08:30
MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)
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Cited by 18 •
2012
Quantitative Real Time polymerase chain reaction (qPCR) is a rapid and sensitive method to investigate the expression levels of various microRNA (miRNA) molecules in tumor samples. Using this method expression of hundreds of different miRNA molecules can be amplified, quantified, and analyzed from the same cDNA template.
08:03
Generation of Prostate Cancer Patient Derived Xenograft Models from Circulating Tumor Cells
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Cited by 59 •
2015
This manuscript details a method used to generate prostate cancer patient derived xenografts (PDXs) from circulating tumor cells (CTCs). The generation of PDX models from CTCs provides an alternative experimental model to study prostate cancer; the most commonly diagnosed tumor and a frequent cause of death from cancer in men.
04:37
Sampling Prostate Cancer Tissue for Biobanking: An MRI-guided Targeted Technique to Remove Biopsy Punches from Fresh Tumor Tissue
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2023
This video demonstrates an MRI data-based technique to target specific tumor-containing regions in prostate tissue for sampling. The collected biopsy specimens can be either stored for biobanking purposes or used for subsequent downstream analysis.
04:12
Renal Capsule Tumor Xenografting: A Technique to Generate an Experimental Animal Model to Evaluate Prostate Carcinogenesis
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2023
In this video, we demonstrate the implantation of human-derived prostate cancer tissue grafts into the renal capsule of an immunocompromised recipient mouse. This technique can be used to assess tumor progression and develop novel therapeutic strategies.
02:34
Individual Lobe Extraction from Prostate: A Technique to Harvest Individual Prostate Lobes from Mouse Prostate
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2023
This video describes a technique to harvest individual lobes from the prostate gland of a mouse model. Individual lobes can then be used for histological analysis and cancer research.
FAQs
The probasin promoter directs production of SV40 large and small T antigens specifically in prostate epithelial cells. This targeted expression links the initiating genetic disruption to the prostate rather than broadly affecting the mouse. As a result, investigators can examine tumor development within prostate tissue and follow how epithelial changes progress during disease.
These viral T antigens drive tumorigenesis by disrupting tumor-suppressor pathways that normally restrain abnormal cell growth. In TRAMP mice, their effects include interference with p53 and Rb, two pathways identified in the model overview. Studying this disruption helps researchers connect altered tumor-suppressor function with the emergence and advancement of prostate cancer.
The model supports observation of a defined progression from prostatic intraepithelial neoplasia to invasive adenocarcinoma. Advanced disease may also include metastasis. Comparing these stages allows investigators to study how prostate tumors change as they become more aggressive, rather than examining only a single endpoint or isolated cellular event.
TRAMP mice provide an in vivo setting for investigating prostate tumor biology and progression. Researchers can examine disease-stage changes in the context of a whole organism and use the model to evaluate therapeutic responses. This makes the system useful for connecting molecular or cellular observations with changes in tumor development over the course of disease.
The model supports preclinical evaluation of potential treatments by allowing therapeutic responses to be examined during prostate tumor development. Researchers can relate treatment effects to disease stage and tumor progression, including the transition toward invasive disease. These observations help assess how candidate interventions influence tumor biology in a controlled experimental system.
Its engineered disruption of p53 and Rb pathways provides a defined molecular context for studying mechanisms associated with prostate tumor formation and progression. Investigators can analyze how these pathway changes relate to pathological stages and treatment responses. The model therefore connects molecular mechanisms with in vivo disease behavior, strengthening interpretation of prostate cancer experiments.