Literature DB >> 26521995

Basal (18)F-FDG PET/CT as a predictive biomarker of tumor response for neoadjuvant therapy in breast cancer.

A M García Vicente1, A Soriano Castrejón2, R E Pruneda-González3, G Fernández Calvo3, M M Muñoz Sánchez4, R Álvarez Cabellos5, R Espinosa Aunión6, F Relea Calatayud7.   

Abstract

PURPOSE: To explore the relation between tumor kinetic assessed by (18)F-FDG PET and final neoadjuvant chemotherapy (NC) response within a molecular phenotype perspective.
MATERIAL AND METHODS: Prospective study included 144 women with breast cancer. All patients underwent a dual-time point (18)F-FDG PET/CT previous to NC. The retention index (RI), between SUV-1 and SUV-2 was calculated. Molecular subtypes were re-grouped in low, intermediate and high-risk biological phenotypes. After NC, all residual primary tumor specimens were histopathologically classified in tumor regression grades (TRG) and response groups. The relation between SUV-1, SUV-2 and RI with the TRG and response groups was evaluated in all molecular subtypes and in accordance with the risk categories.
RESULTS: Responder's lesions showed significant greater SUVmax compared to non-responders. The RI value did not show any significant relation with response. Attending to molecular phenotypes, statistical differences were observed with greater SUV for responders having high-risk molecular subtypes.
CONCLUSION: Glycolytic tumor characteristics showed a significant correlation with NC response and dependence of risk phenotype.
Copyright © 2015 Elsevier España, S.L.U. and SEMNIM. All rights reserved.

Entities:  

Keywords:  (18)F-FDG PET/CT; (18)F-FDG PET/TC; Cinética tumoral; Cáncer de mama localmente avanzado; Fenotipos moleculares; Locally advanced breast cancer; Molecular phenotypes; Neoadjuvant chemotherapy response; Respuesta al tratamiento neoadyuvante; Tumor kinetics

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Year:  2015        PMID: 26521995     DOI: 10.1016/j.remn.2015.09.001

Source DB:  PubMed          Journal:  Rev Esp Med Nucl Imagen Mol        ISSN: 2253-654X            Impact factor:   1.359


  1 in total

1.  Metabolic Tumor Burden Assessed by Dual Time Point [18F]FDG PET/CT in Locally Advanced Breast Cancer: Relation with Tumor Biology.

Authors:  Ana María Garcia-Vicente; Julián Pérez-Beteta; Víctor Manuel Pérez-García; David Molina; German Andrés Jiménez-Londoño; Angel Soriano-Castrejón; Alicia Martínez-González
Journal:  Mol Imaging Biol       Date:  2017-08       Impact factor: 3.488

  1 in total

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