Glycolytic activity in breast cancer using 18F-FDG PET/CT as prognostic predictor: A molecular phenotype approach
| Autor: | R. Álvarez Cabellos, J.F. Lopez Fidalgo, R. Espinosa Aunión, A.M. García Vicente, M.M. Muñoz Sánchez, Mariano Amo-Salas, A. Soriano Castrejón, V. Muñoz Madero |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Oncology
Multivariate statistics medicine.medical_specialty Pathology Multivariate analysis Standardized uptake value Breast Neoplasms Kaplan-Meier Estimate Multimodal Imaging Disease-Free Survival 030218 nuclear medicine & medical imaging 03 medical and health sciences Basal (phylogenetics) 0302 clinical medicine Breast cancer Fluorodeoxyglucose F18 Internal medicine Positron Emission Tomography Computed Tomography medicine Humans Radiology Nuclear Medicine and imaging Prospective Studies Stage (cooking) Prospective cohort study Analysis of Variance business.industry medicine.disease Prognosis Primary tumor Phenotype 030220 oncology & carcinogenesis Female Radiopharmaceuticals business |
| Zdroj: | Revista espanola de medicina nuclear e imagen molecular. 35(3) |
| ISSN: | 2253-8070 |
| Popis: | Aim To explore the relationship between basal 18 F-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 18 F-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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|