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Breast density is strongly associated with multiparametric magnetic resonance imaging biomarkers and pro-tumorigenic proteins in situ
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0001-8661-2232
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Diagnostics, Medical radiation physics. AMRA Med AB, Linkoping, Sweden.ORCID iD: 0000-0003-4630-6550
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-3124-8044
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2022 (English)In: British Journal of Cancer, ISSN 0007-0920, E-ISSN 1532-1827, Vol. 127, p. 2025-2033Article in journal (Refereed) Published
Abstract [en]

Background High mammographic density is an independent risk factor for breast cancer by poorly understood molecular mechanisms. Women with dense breasts often undergo conventional magnetic resonance imaging (MRI) despite its limited specificity, which may be increased by diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) and contrast. How these modalities are affected by breast density per se and their association with the local microenvironment are undetermined. Methods Healthy postmenopausal women attending mammography screen with extremely dense or entirely fatty breasts underwent multiparametric MRI for analyses of lean tissue fraction (LTF), ADC and perfusion dynamics. Microdialysis was used for extracellular proteomics in situ. Results Significantly increased LTF and ADC and delayed perfusion were detected in dense breasts. In total, 270 proteins were quantified, whereof 124 related to inflammation, angiogenesis, and cellular growth were significantly upregulated in dense breasts. Most of these correlated significantly with LTF, ADC and the perfusion data. Conclusions ADC and perfusion characteristics depend on breast density, which should be considered during the implementation of thresholds for malignant lesions. Dense and nondense breasts are two essentially different biological entities, with a pro-tumorigenic microenvironment in dense breasts. Our data reveal several novel pathways that may be explored for breast cancer prevention strategies.

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 127, p. 2025-2033
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Cancer and Oncology
Identifiers
URN: urn:nbn:se:liu:diva-189079DOI: 10.1038/s41416-022-01976-3ISI: 000859665200002PubMedID: 36138072OAI: oai:DiVA.org:liu-189079DiVA, id: diva2:1702549
Note

Funding Agencies|Swedish Cancer Society [2018/464]; Swedish Research Council [2018-02584]; LiU-Cancer project grant; ALF of Linkoping University Hospital; Linkoping University

Available from: 2022-10-11 Created: 2022-10-11 Last updated: 2024-02-21Bibliographically approved

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Lundberg, PeterForsgren, Mikael FKihlberg, JohanDabrosin, Charlotta

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Lundberg, PeterForsgren, Mikael FTellman, JensKihlberg, JohanRzepecka, AnnaDabrosin, Charlotta
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Division of Diagnostics and Specialist MedicineFaculty of Medicine and Health SciencesMedical radiation physicsCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in LinköpingDivision of Surgery, Orthopedics and OncologyDepartment of Oncology
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