Association between semiquantitative PET parameters and molecular subtypes of breast invasive ductal carcinoma

Serena Chiacchio, Laura Evangelista, Abedallatif Alsharif, Gianpiero Manca, Fabio Di Martino, Anna Negri, Manuel Tredici, Anna R. Cervino, Giulia Puccini, Elena Filidei, Matteo Ghilli, Antonio G. Naccarato, Manuela Roncella, Duccio Volterrani

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Molecular subtypes of breast cancer have been proposed since 2012. The correlation between various baseline [18F]fluorodeoxyglucose ([18F]FDG ) uptake parameters, including total lesion glycolysis (TLG ), and molecular subtypes of primary breast cancer lesions in patients with invasive ductal cancer will be investigated. METHODS: Staging [18F]FDG PET/CT for breast invasive ductal carcinoma were retrospectively evaluated. Breast lesions were examined for estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and proliferation index (Ki-67). Breast tumors were classified into five molecular subtypes: Luminal A, Luminal B-HER2(-), Luminal B-HER2(+), HER2(+) and Basal or Triple Negative cancers. The correlations between tumor characteristics and PET semiquantitative data of primary breast lesion (SUVmean, SUVmax, Mean tumor volume (MTV), TLG) were assessed. Specific Breast Uptake Ratio (SBUR) is used as a new quantification method of breast uptake to correct for physiological background activity. RESULTS: Fifty-eight patients were included. TLG was significantly higher in triple negative group when compared with luminal A (P<0.01). Significantly higher uptake was found in triple negative lesions when compared with luminal B-HER2(-) and luminal B-HER2(+) categories using SUVmax, SUVmean and TLG (all P<0.05). Conversely, no statistically significant difference for [18F]FDG uptake was observed between all other molecular subtypes. No value of SBUR in terms of correlation with histopathological parameters was demonstrated. CONCLUSIONS: TLG was superior to SUVmax and SUVmean in differentiating between triple negative breast cancer lesions and all other molecular subtypes. SBUR was not different statistically between various molecular subtypes.

Original languageEnglish
Pages (from-to)101-111
Number of pages11
JournalQuarterly Journal of Nuclear Medicine and Molecular Imaging
Volume62
Issue number1
DOIs
Publication statusPublished - Mar 1 2018

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Carcinoma, Ductal, Breast
Glycolysis
Breast
Fluorodeoxyglucose F18
Breast Neoplasms
Triple Negative Breast Neoplasms
Neoplasms
Progesterone Receptors
Tumor Burden
Estrogen Receptors
human ERBB2 protein

Keywords

  • Carcinoma, ductal, breast
  • Fluorodeoxyglucose F18
  • Molecular typing

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Association between semiquantitative PET parameters and molecular subtypes of breast invasive ductal carcinoma. / Chiacchio, Serena; Evangelista, Laura; Alsharif, Abedallatif; Manca, Gianpiero; Di Martino, Fabio; Negri, Anna; Tredici, Manuel; Cervino, Anna R.; Puccini, Giulia; Filidei, Elena; Ghilli, Matteo; Naccarato, Antonio G.; Roncella, Manuela; Volterrani, Duccio.

In: Quarterly Journal of Nuclear Medicine and Molecular Imaging, Vol. 62, No. 1, 01.03.2018, p. 101-111.

Research output: Contribution to journalArticle

Chiacchio, S, Evangelista, L, Alsharif, A, Manca, G, Di Martino, F, Negri, A, Tredici, M, Cervino, AR, Puccini, G, Filidei, E, Ghilli, M, Naccarato, AG, Roncella, M & Volterrani, D 2018, 'Association between semiquantitative PET parameters and molecular subtypes of breast invasive ductal carcinoma', Quarterly Journal of Nuclear Medicine and Molecular Imaging, vol. 62, no. 1, pp. 101-111. https://doi.org/10.23736/S1824-4785.17.02810-2
Chiacchio, Serena ; Evangelista, Laura ; Alsharif, Abedallatif ; Manca, Gianpiero ; Di Martino, Fabio ; Negri, Anna ; Tredici, Manuel ; Cervino, Anna R. ; Puccini, Giulia ; Filidei, Elena ; Ghilli, Matteo ; Naccarato, Antonio G. ; Roncella, Manuela ; Volterrani, Duccio. / Association between semiquantitative PET parameters and molecular subtypes of breast invasive ductal carcinoma. In: Quarterly Journal of Nuclear Medicine and Molecular Imaging. 2018 ; Vol. 62, No. 1. pp. 101-111.
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AU - Evangelista, Laura

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AU - Di Martino, Fabio

AU - Negri, Anna

AU - Tredici, Manuel

AU - Cervino, Anna R.

AU - Puccini, Giulia

AU - Filidei, Elena

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N2 - BACKGROUND: Molecular subtypes of breast cancer have been proposed since 2012. The correlation between various baseline [18F]fluorodeoxyglucose ([18F]FDG ) uptake parameters, including total lesion glycolysis (TLG ), and molecular subtypes of primary breast cancer lesions in patients with invasive ductal cancer will be investigated. METHODS: Staging [18F]FDG PET/CT for breast invasive ductal carcinoma were retrospectively evaluated. Breast lesions were examined for estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and proliferation index (Ki-67). Breast tumors were classified into five molecular subtypes: Luminal A, Luminal B-HER2(-), Luminal B-HER2(+), HER2(+) and Basal or Triple Negative cancers. The correlations between tumor characteristics and PET semiquantitative data of primary breast lesion (SUVmean, SUVmax, Mean tumor volume (MTV), TLG) were assessed. Specific Breast Uptake Ratio (SBUR) is used as a new quantification method of breast uptake to correct for physiological background activity. RESULTS: Fifty-eight patients were included. TLG was significantly higher in triple negative group when compared with luminal A (P<0.01). Significantly higher uptake was found in triple negative lesions when compared with luminal B-HER2(-) and luminal B-HER2(+) categories using SUVmax, SUVmean and TLG (all P<0.05). Conversely, no statistically significant difference for [18F]FDG uptake was observed between all other molecular subtypes. No value of SBUR in terms of correlation with histopathological parameters was demonstrated. CONCLUSIONS: TLG was superior to SUVmax and SUVmean in differentiating between triple negative breast cancer lesions and all other molecular subtypes. SBUR was not different statistically between various molecular subtypes.

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