Details

Autor(en) / Beteiligte

• Minamimoto, Ryogo
• Jamali, Mehran
• Gevaert, Olivier
• Echegaray, Sebastian
• Khuong, Amanda
• Hoang, Chuong D
• Shrager, Joseph B
• Plevritis, Sylvia K
• Rubin, Daniel L
• Leung, Ann N
• Napel, Sandy
• Quon, Andrew

Titel

Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18 F FDG-PET/CT metrics

Ist Teil von

• Oncotarget, 2017-08, Vol.8 (32), p.52792

Ort / Verlag

United States

Erscheinungsjahr

2017

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• This study investigated the relationship between epidermal growth factor receptor ( ) and Kirsten rat sarcoma viral oncogene homolog ( ) mutations in non-small-cell lung cancer (NSCLC) and quantitative FDG-PET/CT parameters including tumor heterogeneity. 131 patients with NSCLC underwent staging FDG-PET/CT followed by tumor resection and histopathological analysis that included testing for the and gene mutations. Patient and lesion characteristics, including smoking habits and FDG uptake parameters, were correlated to each gene mutation. Never-smoker ( < 0.001) or low pack-year smoking history ( = 0.002) and female gender ( = 0.047) were predictive factors for the presence of the EGFR mutations. Being a current or former smoker was a predictive factor for the KRAS mutations ( = 0.018). The maximum standardized uptake value (SUV ) of FDG uptake in lung lesions was a predictive factor of the mutations ( = 0.029), while metabolic tumor volume and total lesion glycolysis were not predictive. Amongst several tumor heterogeneity metrics included in our analysis, inverse coefficient of variation (1/COV) was a predictive factor ( < 0.02) of mutations status, independent of metabolic tumor diameter. Multivariate analysis showed that being a never-smoker was the most significant factor ( < 0.001) for the mutations in lung cancer overall. The tumor heterogeneity metric 1/COV and SUV were both predictive for the mutations in NSCLC in a univariate analysis. Overall, smoking status was the most significant factor for the presence of the and mutations in lung cancer.