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Correlation between PET/CT parameters and KRAS expression in colorectal cancer
Shang-Wen Chen1, Hua-Che Chiang, William Tzu-Liang Chen
1From the *Department of Radiation Oncology, China Medical University Hospital; and †Graduate Institute of Clinical Medical Science and School of Medicine, College of Medicine, China Medical University, Taichung; ‡School of Medicine, Taipei Medical University, Taipei; and §Departments of Surgery and ∥Department of Nuclear Medicine and PET Center, China Medical University Hospital; ¶Department of Biomedical Imaging and Radiological Science, China Medical University; and **Cancer Center, China Medical University Hospital, Taichung, Taiwan.
Fluorodeoxyglucose F 18-positron emission tomography/computed tomography (FDG PET/CT) parameters like SUVmax and TW40% can predict KRAS mutations in colorectal cancer (CRC), aiding genomic analysis.
Area of Science:
- Oncology
- Radiology
- Molecular Diagnostics
Background:
- KRAS mutations are crucial in colorectal cancer (CRC) pathogenesis and treatment decisions.
- Accurate identification of KRAS mutation status is vital for personalized CRC therapy.
- Current methods for determining KRAS status can be invasive or time-consuming.
Purpose of the Study:
- To investigate the association between F-FDG PET/CT parameters and KRAS mutation status in CRC.
- To evaluate the potential of non-invasive PET/CT imaging to predict KRAS mutations.
- To correlate imaging biomarkers with genomic expression in CRC patients.
Main Methods:
- A cohort of 121 CRC patients undergoing preoperative PET/CT was analyzed.
- Key PET/CT parameters including SUVmax, metabolic tumor volume, total lesion glycolysis, and tumor width (TW) were measured.
- Statistical analyses, including Mann-Whitney U test and logistic regression, were used to correlate PET/CT parameters with KRAS mutation status.
Main Results:
- CRC tumors with mutated KRAS showed significantly higher SUVmax and increased FDG uptake.
- Multivariate analysis identified SUVmax and TW40% (40% threshold for maximal uptake of TW) as significant predictors of KRAS mutations.
- SUVmax was more accurate for predicting KRAS mutations in colon/sigmoid cancers, while TW40% was more accurate in rectal cancers.
Conclusions:
- SUVmax and TW40% are imaging biomarkers associated with KRAS mutations in CRC.
- FDG PET/CT parameters can serve as a valuable adjunct to genomic analysis for assessing KRAS expression.
- Non-invasive PET/CT imaging offers a promising approach to complement molecular diagnostics in CRC.
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