Mammographic density: intersection of advocacy, science, and clinical practice.

Mammographic density TACS breast cancer risk collagen mammographic density notification tissue tensile forces

Journal

Current breast cancer reports
ISSN: 1943-4588
Titre abrégé: Curr Breast Cancer Rep
Pays: United States
ID NLM: 101498096

Informations de publication

Date de publication:
09 2019
Historique:
entrez: 14 12 2020
pubmed: 1 9 2019
medline: 1 9 2019
Statut: ppublish

Résumé

Here we aim to review the association between mammographic density, collagen structure and breast cancer risk. While mammographic density is a strong predictor of breast cancer risk in populations, studies by Boyd show that mammographic density does not predict breast cancer risk in individuals. Mammographic density is affected by age, parity, menopausal status, race/ethnicity, and body mass index (BMI).New studies normalize mammographic density to BMI may provide a more accurate way to compare mammographic density in women of diverse race and ethnicity. Preclinical and tissue-based studies have investigated the role collagen composition and structure in predicting breast cancer risk. There is emerging evidence that collagen structure may activate signaling pathways associated with aggressive breast cancer biology. Measurement of film mammographic density does not adequately capture the complex signaling that occurs in women with at-risk collagen. New ways to measure at-risk collagen potentially can provide a more accurate view of risk.

Identifiants

pubmed: 33312342
doi: 10.1007/s12609-019-00316-4
pmc: PMC7728377
mid: NIHMS1535647
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100-110

Subventions

Organisme : NCI NIH HHS
ID : R01 CA192914
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA114068
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA189283
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA098441
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA088799
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA158668
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA220693
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA155664
Pays : United States

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Auteurs

Katherine Tossas-Milligan (K)

University of Illinois, Chicago Cancer Center, Chicago, IL.

Sundus Shalabi (S)

City of Hope Comprehensive Cancer Center, Duarte, CA.
Al Quds University, Jerusalem, West Bank.

Veronica Jones (V)

City of Hope Comprehensive Cancer Center, Duarte, CA.

Patricia J Keely (PJ)

University of Wisconsin, Madison, Madison, WI.

Matthew W Conklin (MW)

University of Wisconsin, Madison, Madison, WI.

Kevin W Eliceiri (KW)

University of Wisconsin, Madison, Madison, WI.

Robert Winn (R)

University of Illinois, Chicago Cancer Center, Chicago, IL.

Christopher Sistrunk (C)

City of Hope Comprehensive Cancer Center, Duarte, CA.

Joseph Geradts (J)

City of Hope Comprehensive Cancer Center, Duarte, CA.

Gustavo Miranda-Carboni (G)

University of Memphis, Tennessee.

Eric C Dietze (EC)

City of Hope Comprehensive Cancer Center, Duarte, CA.

Lisa D Yee (LD)

City of Hope Comprehensive Cancer Center, Duarte, CA.

Victoria L Seewaldt (VL)

Al Quds University, Jerusalem, West Bank.

Classifications MeSH