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Updated: Jun 6, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies

Published on: April 12, 2017

A case of primary renal angiosarcoma.

Kazuhiko Yoshida¹, Fumio Ito, Hayakazu Nakazawa

¹Department of Urology.

|December 9, 2010

Summary

This summary is machine-generated.

A rare primary renal angiosarcoma initially misdiagnosed as a hematoma aggressively metastasized to the liver and spine, leading to patient death despite treatment.

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Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy

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Published on: April 29, 2014

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Last Updated: Jun 6, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies

Published on: April 12, 2017

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy

Published on: April 29, 2014

Area of Science:

Oncology
Pathology
Radiology

Background:

A 78-year-old male presented with a left renal cyst.
Initial CT scans suggested a bleeding renal cyst with potential liver metastasis.

Observation:

Serial imaging revealed progressive enlargement of the renal mass and new liver lesions.
A subsequent thoracic vertebral mass caused spinal paralysis.

Findings:

Initial pathology misdiagnosed the renal mass as a benign hematoma.
Re-evaluation with immunohistochemistry confirmed primary renal angiosarcoma.
Metastatic disease progressed rapidly despite radical nephrectomy and interleukin-2 therapy.

Implications:

This case highlights the diagnostic challenges of rare renal tumors.
Aggressive behavior of angiosarcoma can be masked by low-grade pathological findings.
Early and accurate diagnosis is crucial for effective oncological management.