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PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype

BACKGROUND: Differences in genetics and receptor expression (phenotypes) of invasive ductal breast cancer (IDC) impact on prognosis and treatment response. Immunohistochemistry (IHC), the most used technique for IDC phenotyping, has some limitations including its invasiveness. We explored the possib...

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Autores principales: Catalano, Onofrio Antonio, Horn, Gary Lloyd, Signore, Alberto, Iannace, Carlo, Lepore, Maria, Vangel, Mark, Luongo, Angelo, Catalano, Marco, Lehman, Constance, Salvatore, Marco, Soricelli, Andrea, Catana, Ciprian, Mahmood, Umar, Rosen, Bruce Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379139/
https://www.ncbi.nlm.nih.gov/pubmed/28208155
http://dx.doi.org/10.1038/bjc.2017.26
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author Catalano, Onofrio Antonio
Horn, Gary Lloyd
Signore, Alberto
Iannace, Carlo
Lepore, Maria
Vangel, Mark
Luongo, Angelo
Catalano, Marco
Lehman, Constance
Salvatore, Marco
Soricelli, Andrea
Catana, Ciprian
Mahmood, Umar
Rosen, Bruce Robert
author_facet Catalano, Onofrio Antonio
Horn, Gary Lloyd
Signore, Alberto
Iannace, Carlo
Lepore, Maria
Vangel, Mark
Luongo, Angelo
Catalano, Marco
Lehman, Constance
Salvatore, Marco
Soricelli, Andrea
Catana, Ciprian
Mahmood, Umar
Rosen, Bruce Robert
author_sort Catalano, Onofrio Antonio
collection PubMed
description BACKGROUND: Differences in genetics and receptor expression (phenotypes) of invasive ductal breast cancer (IDC) impact on prognosis and treatment response. Immunohistochemistry (IHC), the most used technique for IDC phenotyping, has some limitations including its invasiveness. We explored the possibility of contrast-enhanced positron emission tomography magnetic resonance (CE-FDG PET/MR) to discriminate IDC phenotypes. METHODS: 21 IDC patients with IHC assessment of oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor-2 (HER2), and antigen Ki-67 (Ki67) underwent CE-FDG PET/MR. Magnetic resonance-perfusion biomarkers, apparent diffusion coefficient (ADC), and standard uptake value (SUV) were compared with IHC markers and phenotypes, using a Student's t-test and one-way ANOVA. RESULTS: ER/PR− tumours demonstrated higher Kep(mean) and SUV(max) than ER or PR+ tumours. HER2− tumours displayed higher ADC(mean), Kep(mean), and SUV(max) than HER2+tumours. Only ADC(mean) discriminated Ki67⩽14% tumours (lower ADC(mean)) from Ki67>14% tumours. PET/MR biomarkers correlated with IHC phenotype in 13 out of 21 patients (62% P=0.001). CONCLUSIONS: Positron emission tomography magnetic resonance might non-invasively help discriminate IDC phenotypes, helping to optimise individual therapy options.
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spelling pubmed-53791392018-03-28 PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype Catalano, Onofrio Antonio Horn, Gary Lloyd Signore, Alberto Iannace, Carlo Lepore, Maria Vangel, Mark Luongo, Angelo Catalano, Marco Lehman, Constance Salvatore, Marco Soricelli, Andrea Catana, Ciprian Mahmood, Umar Rosen, Bruce Robert Br J Cancer Translational Therapeutics BACKGROUND: Differences in genetics and receptor expression (phenotypes) of invasive ductal breast cancer (IDC) impact on prognosis and treatment response. Immunohistochemistry (IHC), the most used technique for IDC phenotyping, has some limitations including its invasiveness. We explored the possibility of contrast-enhanced positron emission tomography magnetic resonance (CE-FDG PET/MR) to discriminate IDC phenotypes. METHODS: 21 IDC patients with IHC assessment of oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor-2 (HER2), and antigen Ki-67 (Ki67) underwent CE-FDG PET/MR. Magnetic resonance-perfusion biomarkers, apparent diffusion coefficient (ADC), and standard uptake value (SUV) were compared with IHC markers and phenotypes, using a Student's t-test and one-way ANOVA. RESULTS: ER/PR− tumours demonstrated higher Kep(mean) and SUV(max) than ER or PR+ tumours. HER2− tumours displayed higher ADC(mean), Kep(mean), and SUV(max) than HER2+tumours. Only ADC(mean) discriminated Ki67⩽14% tumours (lower ADC(mean)) from Ki67>14% tumours. PET/MR biomarkers correlated with IHC phenotype in 13 out of 21 patients (62% P=0.001). CONCLUSIONS: Positron emission tomography magnetic resonance might non-invasively help discriminate IDC phenotypes, helping to optimise individual therapy options. Nature Publishing Group 2017-03-28 2017-02-16 /pmc/articles/PMC5379139/ /pubmed/28208155 http://dx.doi.org/10.1038/bjc.2017.26 Text en Copyright © 2017 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Translational Therapeutics
Catalano, Onofrio Antonio
Horn, Gary Lloyd
Signore, Alberto
Iannace, Carlo
Lepore, Maria
Vangel, Mark
Luongo, Angelo
Catalano, Marco
Lehman, Constance
Salvatore, Marco
Soricelli, Andrea
Catana, Ciprian
Mahmood, Umar
Rosen, Bruce Robert
PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
title PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
title_full PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
title_fullStr PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
title_full_unstemmed PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
title_short PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
title_sort pet/mr in invasive ductal breast cancer: correlation between imaging markers and histological phenotype
topic Translational Therapeutics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379139/
https://www.ncbi.nlm.nih.gov/pubmed/28208155
http://dx.doi.org/10.1038/bjc.2017.26
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