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Updated: Feb 11, 2026

Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
Published on: April 29, 2014
Radiogenomics in renal cell carcinoma
Francesco Alessandrino1,2, Atul B Shinagare3,4, Dominick Bossé5
1Department of Imaging, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, 02215, USA. Falessandrino@bwh.harvard.edu.
Radiogenomics links medical imaging features with gene expression in clear cell renal cell carcinoma (ccRCC). This approach aids in diagnosis, prognosis, and optimizing ccRCC treatment strategies.
Area of Science:
- Radiology
- Genomics
- Oncology
Background:
- Radiogenomics integrates imaging findings with gene expression patterns.
- Advances in ccRCC genomics highlight the need for imaging-genomic correlations.
- Clear cell renal cell carcinoma (ccRCC) is well-suited for radiogenomic studies due to its genomic profile.
Purpose of the Study:
- To review the current state of radiogenomics in ccRCC.
- To explore the association between imaging and genomic data in ccRCC.
- To discuss the application of radiogenomics for ccRCC diagnosis, staging, prognosis, and therapy optimization.
Main Methods:
- Review of recent literature on ccRCC genomics and radiogenomics.
- Analysis of imaging-genomic associations for diagnostic and prognostic stratification.
- Discussion of therapeutic implications based on radiogenomic findings.
Main Results:
- Significant progress has been made in understanding imaging-genomic associations in ccRCC.
- Specific imaging features correlate with distinct genetic mutations and prognostic outcomes.
- Radiogenomics offers potential for non-invasive assessment of ccRCC characteristics.
Conclusions:
- Radiogenomics is a rapidly evolving field with significant potential in ccRCC management.
- Integrating imaging and genomic data can enhance diagnostic accuracy and prognostic stratification.
- Further research in ccRCC radiogenomics may lead to personalized treatment approaches.
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