Literature DB >> 35138462

Correlation between 18F-FDG PET/CT intra-tumor metabolic heterogeneity parameters and KRAS mutation in colorectal cancer.

Xin Liu1, Shi-Cun Wang1, Ming Ni1, Qiang Xie1, Yi-Fan Zhang1, Wei-Fu Lv2, Guang-Yong Geng3.   

Abstract

PURPOSE: The study aimed to evaluate the relationship between intra-tumor metabolic heterogeneity parameters of 18F-FDG and KRAS mutation status in colorectal cancer (CRC) patients and which threshold heterogeneity parameters could better reflect the heterogeneity characteristics of colorectal cancer.
METHODS: Medical data of 101 CRC patients who underwent 18F-FDG PET/CT and KRAS mutation analysis were selected. On PET scans, 18F-FDG traditional indices maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and heterogeneity parameters coefficient of variation with a threshold of 2.5 (CV2.5), CV40%, heterogeneity index-1 (HI-1), and HI-2 of the primary lesions were obtained. We inferred correlations between these 18F-FDG parameters and KRAS mutation status.
RESULTS: 41 patients (40.6%) had KRAS gene mutation. Assessment of FDG parameters showed that SUVmax (19.00 vs. 13.16, p < 0.001), MTV (11.64 vs. 8.83, p = 0.001), and TLG (102.85 vs. 69.76, p < 0.001), CV2.5 (0.55 vs. 0.46, p = 0.006), and HI-2 (14.03 vs. 7.59, p < 0.001) of KRAS mutation were higher compared to wild-type (WT) KRAS. CV40% (0.22 vs. 0.24, p = 0.001) was lower in the KRAS mutation group, while HI-1 had no significant difference between the two groups. Multivariate analysis showed that MTV (OR = 4.97, 1.04-23.83, p = 0.045) was the only significant predictor in KRAS mutation, using a cut-off of 7.62 (AUC = 0.695), and MTV showed a sensitivity of 90.2% and specificity of 45.0%. However, the PET parameters were not independent predictors in KRAS mutation.
CONCLUSION: KRAS gene mutant CRC patients had more 18F-FDG uptake (SUVmax, MTV, TLG) and heterogeneity (CV2.5, HI-2) than WT KRAS. MTV was the only independent predictor of KRAS gene mutation in colorectal cancer patients.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  18F-FDG PET/CT; Colorectal cancer; KRAS

Mesh:

Substances:

Year:  2022        PMID: 35138462     DOI: 10.1007/s00261-022-03432-5

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  23 in total

1.  Heterogeneity index evaluated by slope of linear regression on 18F-FDG PET/CT as a prognostic marker for predicting tumor recurrence in pancreatic ductal adenocarcinoma.

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5.  Genetic Alterations in Colorectal Cancer Have Different Patterns on 18F-FDG PET/CT.

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7.  (18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status.

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Journal:  Br J Radiol       Date:  2016-05-05       Impact factor: 3.039

8.  K-ras mutations and benefit from cetuximab in advanced colorectal cancer.

Authors:  Christos S Karapetis; Shirin Khambata-Ford; Derek J Jonker; Chris J O'Callaghan; Dongsheng Tu; Niall C Tebbutt; R John Simes; Haji Chalchal; Jeremy D Shapiro; Sonia Robitaille; Timothy J Price; Lois Shepherd; Heather-Jane Au; Christiane Langer; Malcolm J Moore; John R Zalcberg
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Review 9.  Present and future roles of FDG-PET/CT imaging in the management of gastrointestinal cancer: an update.

Authors:  Kazuhiro Kitajima; Masatoyo Nakajo; Hayato Kaida; Ryogo Minamimoto; Kenji Hirata; Masakatsu Tsurusaki; Hiroshi Doi; Yoshiko Ueno; Keitaro Sofue; Yukihisa Tamaki; Koichiro Yamakado
Journal:  Nagoya J Med Sci       Date:  2017-11       Impact factor: 1.131

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  1 in total

1.  Prediction value of 18F-FDG PET/CT intratumor metabolic heterogeneity parameters for recurrence after radical surgery of stage II/III colorectal cancer.

Authors:  Xin Liu; Yi-Fan Zhang; Qin Shi; Yi Yang; Ben-Hu Yao; Shi-Cun Wang; Guang-Yong Geng
Journal:  Front Oncol       Date:  2022-09-08       Impact factor: 5.738

  1 in total

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