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217700

18F-FDG PET/CT Based Quantitative Parameters as Predictive Biomarkers for KRAS Mutations in Metastatic Colorectal Cancer.

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Last updated: 03 Jan 2025

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Abstract

Background: Metastatic colorectal cancer (mCRC) patients with positive KRAS genomic mutations should not receive anti-epidermal growth factor receptor (EGFR) monoclonal antibodies, as stated by the American Society of Clinical Oncology. However, there are some limitations to KRAS mutation testing. Few published studies evaluating the correlation between 18F-FDG PET/CT imaging and KRAS expression in mCRC patients have yielded conflicting results. Aiming to clarify whether 18F-FDG PET/CT scan can be used as a surrogate biomarker for KRAS status in mCRCs in order to optimize treatment strategies, this study explored this relationship.
Patients and Methods: This prospective study included 38 patients (26 males and 12 females) with mCRCs and known KRAS mutational status; all of them underwent pretreatment 18F-FDG PET/CT imaging. Maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG) and metabolic tumor volume (MTV) of metastatic lesions with the highest FDG uptake were analyzed. Results: SUVmax was significantly higher in the mutated KRAS than in the WT-KRAS group (13.1±11.9 vs. 7.01±4.2, respectively; P=0.016). There was an increase in the mean values of MTV and TLG in the KRAS mutant group, albeit without statistical significance (P= 0.450 and 0.908, respectively). Thus, SUVmax was the only PET/CT parameter that could predict KRAS mutations (OR: 1.180, 95% CI: 1.006-1.384; P= 0.041). SUVmax cutoff value of >8.8 (AUC of 0.728) yielded the best accuracy (72.8%), with 58.8% sensitivity and 81.0% specificity in predicting KRAS mutations. Conclusion: The accumulation of 18F-FDG was significantly higher in metastatic lesions of CRCs with positive KRAS mutations. We propose that 18F-FDG PET/CT based SUVmax could be used as a non-invasive surrogate biomarker for KRAS genomic expression in mCRC patients to aid in treatment selection.

DOI

10.21608/egyjnm.2021.217700

Keywords

Metastatic colorectal cancer, KRAS mutations, 18F-FDG PET/CT, Quantitative parameters

Authors

First Name

Moustafa,

Last Name

Sh

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Affiliation

Nuclear Medicine Unit, Department of Clinical Oncology and Nuclear Medicine, Assiut University, Egypt.

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First Name

Khallaf,

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S

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Affiliation

Department of Medical Oncology, South Egypt Cancer Institute.

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First Name

Mekawi,

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M

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Nuclear Medicine Unit, Department of Clinical Oncology and Nuclear Medicine, Assiut University, Egypt.

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First Name

Rayan,

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A

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Affiliation

Clinical Oncology Unit, Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Assiut University, Egypt.

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First Name

Mostafa,

Last Name

NM

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Affiliation

Nuclear Medicine Unit, Department of Clinical Oncology and Nuclear Medicine, Assiut University, Egypt.

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Volume

23

Article Issue

2

Related Issue

30966

Issue Date

2021-12-01

Receive Date

2022-02-07

Publish Date

2021-12-01

Page Start

74

Page End

90

Print ISSN

1687-4994

Online ISSN

2536-9113

Link

https://egyjnm.journals.ekb.eg/article_217700.html

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https://egyjnm.journals.ekb.eg/service?article_code=217700

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6

Type

Original Paper, PET/CT

Type Code

379

Publication Type

Journal

Publication Title

Egyptian Journal Nuclear Medicine

Publication Link

https://egyjnm.journals.ekb.eg/

MainTitle

18F-FDG PET/CT Based Quantitative Parameters as Predictive Biomarkers for KRAS Mutations in Metastatic Colorectal Cancer.

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Article

Created At

22 Jan 2023