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CT Characterization of Lipid Metabolism in Clear Cell Renal Cell Carcinoma: Relationship Between Liver Hounsfield Unit Values and Adipose Differentiation-Related Protein Gene Expression.
Int J Mol Sci
November 2024
Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy.
Article Synopsis
- Radiogenomics connects imaging features with molecular characteristics of diseases, specifically analyzing clear cell renal cell carcinoma (ccRCC) and its link to lipid metabolism through adipose differentiation-related protein (ADFP).
- The study examined CT images from 185 ccRCC patients, finding that lower minimum Hounsfield Unit (HU) values in the liver and tumors were associated with ADFP expression, indicating increased lipid accumulation in patients with low-grade ccRCC.
- The findings suggest that HU values can serve as noninvasive biomarkers for ADFP-related lipid metabolism in ccRCC, but further validation in larger studies is needed to confirm these results.
Exploring Tumor Heterogeneity: Radiogenomic Assessment of ADFP in Low WHO/ISUP Grade Clear Cell Renal Cell Carcinoma.
Cancers (Basel)
September 2024
Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy.
This study aimed to investigate the association between metabolic lipid computed tomography (CT) features and adipose differentiation-related protein (ADFP) expression in clear cell renal cell carcinoma (ccRCC), providing insights into non-invasive methods for assessing ADFP expression and tumor characteristics. This study utilized data from The Cancer Genome Atlas and the Cancer Imaging Archive to analyze genetic alterations and imaging characteristics in ccRCC patients. Tumoral Hounsfield units (HU) analysis and quantification of abdominal adipose tissue compartments were performed using CT images.
View Article and Find Full Text PDFImaging biobanks: operational limits, medical-legal and ethical reflections.
Front Digit Health
August 2024
Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Article Synopsis
- The growth of health technologies has led to an increased focus on biobanks, which are essential for research and experimental therapies using human biological samples.
- The concept of biobanks has evolved from informal collections to well-organized institutions, with imaging biobanks emerging as a new field that combines medical images and biomarkers for research purposes.
- The integration of imaging biobanks with traditional biobanks is important for advancing medical research, necessitating a clear legal and ethical framework, especially in Europe and Italy.
Overall survival prediction of gastric cancer using the gene signature of CT-detected extramural venous invasion combined with M2 macrophages infiltration.
J Transl Med
September 2024
Department of Hernia and Abdominal Wall Surgery, Peking University People's Hospital, Beijing, 100044, China.
Background: CT-detected Extramural venous invasion (EMVI) is known as an independent risk factor for distant metastasis in patients with advanced gastric cancer (GC). However, the molecular basis is not clear. In colorectal cancer, M2 macrophages plays a vital role in determining EMVI.
View Article and Find Full Text PDFThe Radiogenomic Landscape of Clear Cell Renal Cell Carcinoma: Insights into Lipid Metabolism through Evaluation of ADFP Expression.
Diagnostics (Basel)
August 2024
Research Unit of Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy.
This study aims to explore the relationship between radiological imaging and genomic characteristics in clear cell renal cell carcinoma (ccRCC), focusing on the expression of adipose differentiation-related protein (ADFP) detected through computed tomography (CT). The goal is to establish a radiogenomic lipid profile and understand its association with tumor characteristics. Data from The Cancer Genome Atlas (TCGA) and the Cancer Imaging Archive (TCIA) were utilized to correlate imaging features with adipose differentiation-related protein (ADFP) expression in ccRCC.
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