A New Perspective on the Effectiveness of FDG PET/CT in Predicting KRAS Mutation in Colon Cancer Cases

Makaleler > Tam Makale · 2024

Yazarlar: Fatih TAMER, Ülkem YARARBAŞ

Cancer Biotherapy and Radiopharmaceuticals, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2024, cilt 39, ss 664-672

DOI: 10.1089/cbr.2024.0028

Özet

Aim: The main aim of this study was to evaluate the effectiveness of 18 F-fluorodeoxyglucose ( 18 FDG) positron emission tomography/computerized tomography (PET/CT) parameters in predicting the Kristen rat sarcoma viral oncogene( KRAS ) mutation status of patients with colon cancer. Materials and Methods: Between April 2013 and December 2020, 79 patients who were diagnosed with colon cancer by colonoscopy underwent staging 18 FDG PET/CT with this diagnosis and met all the inclusion criteria were included in this study. Clinical and prognostic features and also imaging ( 18 FDG PET/CT and magnetic resonance imaging) reports of the patients were collected and analyzed retrospectively. Results: KRAS mutation was seen in 32 of patients (40.5%). No significant difference was observed between KRAS mutant and wild-type patients in terms of clinical features (tumor location, findings regarding metastasis, T stage, and tumor differentiation grade in patients who underwent surgery) and overall survival. Progression-free survival was significantly shorter in KRAS mutant patients ( p = 0.018). Primary tumor standardized uptake value (SUV mean ) was significantly higher in KRAS mutant cases in the whole group ( p = 0.024) and in patients in whom KRAS analysis was performed only in the primary lesion ( p = 0.036). The cutoff value for predicting KRAS mutation status was 7.01 g/mL (area under the curve [AUC]: 0.650, confidence interval [CI] 95%, 0.56–0.74). Conclusions: When colon and rectal cancer cases were evaluated separately, the primary tumor SUV mean value was significantly higher in KRAS mutant colon cancer cases. However, its effectiveness in predicting KRAS mutation status was low, similar to other parameters in the literature.

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