Shang-Wen Chen1, Hua-Che Chiang, William Tzu-Liang Chen, Te-Chun Hsieh, Kuo-Yang Yen, Shu-Fen Chiang, Chia-Hung Kao. 1. From 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.
Abstract
PURPOSE: The objective of this study was to correlate the association between mutated KRAS and wild-type colorectal cancer (CRC) by using various F-FDG PET-related parameters. METHODS: One hundred twenty-one CRC patients who had undergone preoperative PET/CT were included in this study. Several PET/CT-related parameters, including SUVmax and various thresholds of metabolic tumor volume, total lesion glycolysis, and PET/CT-based tumor width, were measured. Tumor- and PET/CT-related parameters were correlated with genomic expression between KRAS mutant and wild-type groups, using a Mann-Whitney U test and logistic regression analysis. RESULTS: Colorectal cancer tumors with a mutated KRAS exhibited higher SUVmax and an increased accumulation of FDG among several threshold methods. Multivariate analysis showed that SUVmax and using a 40% threshold level for maximal uptake of TW (TW40%) were the 2 predictors of KRAS mutations. The odds ratio was 1.23 for SUVmax (P = 0.02; 95% confidence interval, 1.01-1.52) and 1.15 for TW40% (P = 0.02; 95% confidence interval, 1.02-1.30). The accuracy of SUVmax for predicting mutated KRAS was higher in patients with colon or sigmoid colon cancers, whereas it was TW40% in those with rectal cancers. CONCLUSIONS: SUVmax and TW40% were associated in CRC with KRAS mutations. PET/CT parameters can supplement genomic analysis to determine KRAS expression in CRC.
PURPOSE: The objective of this study was to correlate the association between mutated KRAS and wild-type colorectal cancer (CRC) by using various F-FDG PET-related parameters. METHODS: One hundred twenty-one CRCpatients who had undergone preoperative PET/CT were included in this study. Several PET/CT-related parameters, including SUVmax and various thresholds of metabolic tumor volume, total lesion glycolysis, and PET/CT-based tumor width, were measured. Tumor- and PET/CT-related parameters were correlated with genomic expression between KRAS mutant and wild-type groups, using a Mann-Whitney U test and logistic regression analysis. RESULTS:Colorectal cancer tumors with a mutated KRAS exhibited higher SUVmax and an increased accumulation of FDG among several threshold methods. Multivariate analysis showed that SUVmax and using a 40% threshold level for maximal uptake of TW (TW40%) were the 2 predictors of KRAS mutations. The odds ratio was 1.23 for SUVmax (P = 0.02; 95% confidence interval, 1.01-1.52) and 1.15 for TW40% (P = 0.02; 95% confidence interval, 1.02-1.30). The accuracy of SUVmax for predicting mutated KRAS was higher in patients with colon or sigmoid colon cancers, whereas it was TW40% in those with rectal cancers. CONCLUSIONS: SUVmax and TW40% were associated in CRC with KRAS mutations. PET/CT parameters can supplement genomic analysis to determine KRAS expression in CRC.
Authors: Xinggang Wu; Mikyung Park; Dilara A Sarbassova; Haoqiang Ying; Min Gyu Lee; Rajat Bhattacharya; Lee Ellis; Christine B Peterson; Mien-Chie Hung; Hui-Kuan Lin; Rakhmetkazhi I Bersimbaev; Min Sup Song; Dos D Sarbassov Journal: Int J Cancer Date: 2019-10-08 Impact factor: 7.396
Authors: Federico Davini; Sara Ricciardi; Carmelina C Zirafa; Gaetano Romano; Greta Alì; Gabriella Fontanini; Franca M A Melfi Journal: Int J Colorectal Dis Date: 2019-11-04 Impact factor: 2.571
Authors: Jihye Yun; Edouard Mullarky; Changyuan Lu; Kaitlyn N Bosch; Adam Kavalier; Keith Rivera; Jatin Roper; Iok In Christine Chio; Eugenia G Giannopoulou; Carlo Rago; Ashlesha Muley; John M Asara; Jihye Paik; Olivier Elemento; Zhengming Chen; Darryl J Pappin; Lukas E Dow; Nickolas Papadopoulos; Steven S Gross; Lewis C Cantley Journal: Science Date: 2015-11-05 Impact factor: 47.728