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A Review of the Correlation Between Epidermal Growth Factor Receptor Mutation Status and (18)F-FDG Metabolic Activity in Non-Small Cell Lung Cancer

PET/CT with (18)F-2-fluoro-2-deoxyglucose ((18)F-FDG) has been proposed as a promising modality for diagnosing and monitoring treatment response and evaluating prognosis for patients with non-small cell lung cancer (NSCLC). The status of epidermal growth factor receptor (EGFR) mutation is a critical...

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Detalles Bibliográficos
Autores principales: Jiang, Maoqing, Zhang, Xiaohui, Chen, Yan, Chen, Ping, Guo, Xiuyu, Ma, Lijuan, Gao, Qiaoling, Mei, Weiqi, Zhang, Jingfeng, Zheng, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065410/
https://www.ncbi.nlm.nih.gov/pubmed/35515138
http://dx.doi.org/10.3389/fonc.2022.780186
Descripción
Sumario:PET/CT with (18)F-2-fluoro-2-deoxyglucose ((18)F-FDG) has been proposed as a promising modality for diagnosing and monitoring treatment response and evaluating prognosis for patients with non-small cell lung cancer (NSCLC). The status of epidermal growth factor receptor (EGFR) mutation is a critical signal for the treatment strategies of patients with NSCLC. Higher response rates and prolonged progression-free survival could be obtained in patients with NSCLC harboring EGFR mutations treated with tyrosine kinase inhibitors (TKIs) when compared with traditional cytotoxic chemotherapy. However, patients with EGFR mutation treated with TKIs inevitably develop drug resistance, so predicting the duration of resistance is of great importance for selecting individual treatment strategies. Several semiquantitative metabolic parameters, e.g., maximum standard uptake value (SUV(max)), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), measured by PET/CT to reflect (18)F-FDG metabolic activity, have been demonstrated to be powerful in predicting the status of EGFR mutation, monitoring treatment response of TKIs, and assessing the outcome of patients with NSCLC. In this review, we summarize the biological and clinical correlations between EGFR mutation status and (18)F-FDG metabolic activity in NSCLC. The metabolic activity of (18)F-FDG, as an extrinsic manifestation of NSCLC, could reflect the mutation status of intrinsic factor EGFR. Both of them play a critical role in guiding the implementation of treatment modalities and evaluating therapy efficacy and outcome for patients with NSCLC.