Detalle Publicación

ARTÍCULO
Glycolytic activity in breast cancer using (18) F - FDG PET/CT as prognostic predictor: A molecular phenotype approach
Autores: García-Vicente, A.; Soriano-Castrejón, A.; Amo-Salas, M.; López Fidalgo, Jesús Fernando; Muñoz-Sánchez, M.; Álvarez-Cabellos, R.; Espinosa-Aunion, R.; Muñoz-Madero, V.
Título de la revista: REVISTA ESPAÑOLA DE MEDICINA NUCLEAR E IMAGEN MOLECULAR
ISSN: 2253-654X
Volumen: 35
Número: 3
Páginas: 152 - 158
Fecha de publicación: 2016
Resumen:
Aim To explore the relationship between basal 18F-FDG uptake in breast tumors and survival in patients with breast cancer (BC) using a molecular phenotype approach. Material and Methods This prospective and multicentre study included 193 women diagnosed with BC. All patients underwent an 18F-FDG PET/CT prior to treatment. Maximum standardized uptake value (SUVmax) in tumor (T), lymph nodes (N), and the N/T index was obtained in all the cases. Metabolic stage was established. As regards biological prognostic parameters, tumors were classified into molecular sub-types and risk categories. Overall survival (OS) and disease free survival (DFS) were obtained. An analysis was performed on the relationship between semi-quantitative metabolic parameters with molecular phenotypes and risk categories. The effect of molecular sub-type and risk categories in prognosis was analyzed using Kaplan¿Meier and univariate and multivariate tests. Results Statistical differences were found in both SUVT and SUVN, according to the molecular sub-types and risk classifications, with higher semi-quantitative values in more biologically aggressive tumors. No statistical differences were observed with respect to the N/T index. Kaplan¿Meier analysis revealed that risk categories were significantly related to DFS and OS. In the multivariate analysis, metabolic stage and risk phenotype showed a significant association with DFS. Conclusion High-risk phenotype category showed a worst prognosis with respect to the other categories with higher SUVmax in primary tumor and lymph nodes.