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Decoding Genes: Current Update on Radiogenomics of Select Abdominal Malignancies
Venkata S Katabathina1, Haneen Marji1, Lokesh Khanna1
1From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., H.M., L.K.); Departments of Radiology (S.Y., S.R.P.) and Pathology (N.R.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.D.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.).
Radiogenomics correlates imaging features with gene mutations, offering potential biomarkers for cancer prognosis and treatment. This field aids radiologists in personalized cancer management by linking tumor genetics to imaging characteristics.
Area of Science:
- Oncology
- Radiology
- Genetics
Background:
- Technological advances enable genome-wide cancer cell analysis, revealing the genetic basis of malignancies.
- Understanding tumor genetics improves classification, biologic characterization, and targeted therapy discovery.
- Radiogenomics links imaging features with gene mutations and expression patterns.
Purpose of the Study:
- To explore the role of radiogenomics in correlating imaging findings with genetic mutations in various cancers.
- To highlight the potential of imaging biomarkers in predicting treatment response and prognosis.
- To emphasize the importance of radiologists understanding cancer genetics for personalized medicine.
Main Methods:
- Utilizing advanced imaging techniques like multidetector CT, multiparametric MRI, and PET.
- Analyzing genome-wide data from cancer cells.
- Correlating specific imaging features with known gene mutations and expression patterns.
Main Results:
- Specific abdominal malignancies show characteristic imaging features linked to gene mutations.
- Radiogenomic associations are identified in hepatocellular adenomas, liver malignancies, renal cell carcinomas, and pancreatic tumors.
- Imaging characteristics can predict aggressive tumor phenotypes and guide targeted therapies for tumors like GIST.
Conclusions:
- Radiogenomics offers surrogate imaging biomarkers that may complement or supplant genetic tests.
- Familiarity with cancer genetics and imaging biomarkers empowers radiologists in cancer management.
- This field supports personalized treatment strategies and improved patient outcomes.
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