Breast Tissue Chemistry Measured In Vivo In Healthy Women Correlate with Breast Density and Breast Cancer Risk.


Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
11 2022
Historique:
revised: 09 03 2022
received: 07 04 2021
accepted: 11 03 2022
pubmed: 24 3 2022
medline: 15 10 2022
entrez: 23 3 2022
Statut: ppublish

Résumé

The relationship of tissue chemistry to breast density and cancer risk has not been documented despite breast density being a known risk factor. To investigate whether distinct chemical profiles associated with breast density and cancer risk are identified in healthy breast tissue using in vivo two-dimensional correlated spectroscopy (2D COSY). Prospective. One-hundred-seven participants including 55 at low risk and 52 at high risk of developing breast cancer. 3 T/ axial/ T1, T2, 2D COSY. Two radiologists defined breast density on T2. Interobserver variability assessed. Peak volumes normalized to methylene at (1.30, 1.30) ppm as internal shift reference. Chi-squared/Mann-Whitney/Kappa statistics/Kruskal Wallis/pairwise analyses. Significance level 0.05. Ten percentage were fatty breasts, 39% scattered fibroglandular, 35% heterogeneously dense, and 16% extremely dense. Interobserver variability was excellent (kappa = 0.817). Sixty percentage (64/107) were premenopausal. Four distinct tissue chemistry categories were identified: low-density (LD)/premenopausal, high-density (HD)/premenopausal, LD/postmenopausal, and HD/postmenopausal. Compared to LD, HD breast chemistry showed significant increases of cholesterol (235%) and lipid unsaturation (33%). In the low-risk category, postmenopausal women with dense breasts recorded the largest significant changes including cholesterol methyl 540%, lipid unsaturation 207%, glutamine/glutamate 900%, and choline/phosphocholine 800%. In the high-risk cohort, premenopausal women with HD recorded a more active chemical profile with significant increases in choline/phosphocholine 1100%, taurine/glucose 550% and cholesterol sterol 250%. Four distinct chemical profiles were identified in healthy breast tissue based on breast density and menopausal status in participants at low and high risk. Gradual increase in neutral lipid content and metabolites was noted in both risk groups across categories in different order. In low risk, the HD postmenopausal category exhibited the highest metabolic activity, while women at high risk exhibited the highest lipid content and metabolic activity in the HD premenopausal category. 2 TECHNICAL EFFICACY STAGE: 3.

Sections du résumé

BACKGROUND
The relationship of tissue chemistry to breast density and cancer risk has not been documented despite breast density being a known risk factor.
PURPOSE
To investigate whether distinct chemical profiles associated with breast density and cancer risk are identified in healthy breast tissue using in vivo two-dimensional correlated spectroscopy (2D COSY).
STUDY TYPE
Prospective.
POPULATION
One-hundred-seven participants including 55 at low risk and 52 at high risk of developing breast cancer.
FIELD STRENGTH/SEQUENCE
3 T/ axial/ T1, T2, 2D COSY.
ASSESSMENT
Two radiologists defined breast density on T2. Interobserver variability assessed. Peak volumes normalized to methylene at (1.30, 1.30) ppm as internal shift reference.
STATISTICAL TESTS
Chi-squared/Mann-Whitney/Kappa statistics/Kruskal Wallis/pairwise analyses. Significance level 0.05.
RESULTS
Ten percentage were fatty breasts, 39% scattered fibroglandular, 35% heterogeneously dense, and 16% extremely dense. Interobserver variability was excellent (kappa = 0.817). Sixty percentage (64/107) were premenopausal. Four distinct tissue chemistry categories were identified: low-density (LD)/premenopausal, high-density (HD)/premenopausal, LD/postmenopausal, and HD/postmenopausal. Compared to LD, HD breast chemistry showed significant increases of cholesterol (235%) and lipid unsaturation (33%). In the low-risk category, postmenopausal women with dense breasts recorded the largest significant changes including cholesterol methyl 540%, lipid unsaturation 207%, glutamine/glutamate 900%, and choline/phosphocholine 800%. In the high-risk cohort, premenopausal women with HD recorded a more active chemical profile with significant increases in choline/phosphocholine 1100%, taurine/glucose 550% and cholesterol sterol 250%.
DATA CONCLUSION
Four distinct chemical profiles were identified in healthy breast tissue based on breast density and menopausal status in participants at low and high risk. Gradual increase in neutral lipid content and metabolites was noted in both risk groups across categories in different order. In low risk, the HD postmenopausal category exhibited the highest metabolic activity, while women at high risk exhibited the highest lipid content and metabolic activity in the HD premenopausal category.
LEVEL OF EVIDENCE
2 TECHNICAL EFFICACY STAGE: 3.

Identifiants

pubmed: 35319148
doi: 10.1002/jmri.28168
pmc: PMC9790468
doi:

Substances chimiques

Glutamates 0
Lipids 0
Sterols 0
Glutamine 0RH81L854J
Phosphorylcholine 107-73-3
Taurine 1EQV5MLY3D
Glucose IY9XDZ35W2
Choline N91BDP6H0X

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1355-1369

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Gorane Santamaría (G)

Diagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Department of Radiology, Hospital Clínic de Barcelona, Barcelona, Spain.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Natali Naude (N)

Diagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Julia Watson (J)

Diagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

John Irvine (J)

Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Thomas Lloyd (T)

Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Ian Bennett (I)

Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.

Graham Galloway (G)

Diagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Peter Malycha (P)

Diagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Jones and Partners Radiology, St Andrew's Hospital, Adelaide, Australia.

Carolyn Mountford (C)

Diagnostic Imaging, Translational Research Institute, Woolloongabba, Queensland, Australia.
Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Faculty of Health, Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

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