TY - JOUR
T1 - A new approach to breast cancer terminology based on the anatomic site of tumour origin
T2 - The importance of radiologic imaging biomarkers
AU - Tabár, László
AU - Dean, Peter B.
AU - Lee Tucker, F.
AU - Yen, Amy Ming Fang
AU - Chen, Sam Li Sheng
AU - Jen, Grace Hsiao Hsuan
AU - Wang, Jackson Wei Chun
AU - Smith, Robert A.
AU - Duffy, Stephen W.
AU - Chen, Tony Hsiu Hsi
N1 - Funding Information:
The authors wish to express their thanks to Tibor Tot for the 2D large format histopathology photomicrographs, and Clive Wells and Larry von Karsa for fruitful discussions on the material covered here. We owe a debt of gratitude to Elisabeth Klockare and Britt Marie Ericsson for their skilful preparation of all our large format, thick section histopathology specimens. We thank Dr. Alfonso Frigerio for participating in the classification of the Turin material. This work has been supported in part by funding from the American Cancer Society through a gift from the Longaberger Company's Horizon of Hope? campaign (Project NHPDCSGBR?GBRLONG).
Funding Information:
The authors wish to express their thanks to Tibor Tot for the 2D large format histopathology photomicrographs, and Clive Wells and Larry von Karsa for fruitful discussions on the material covered here. We owe a debt of gratitude to Elisabeth Klockare and Britt Marie Ericsson for their skilful preparation of all our large format, thick section histopathology specimens. We thank Dr. Alfonso Frigerio for participating in the classification of the Turin material. This work has been supported in part by funding from the American Cancer Society through a gift from the Longaberger Company's Horizon of Hope® campaign (Project NHPDCSGBR‐GBRLONG ).
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/4
Y1 - 2022/4
N2 - Purpose: To use mammographic tumour features (imaging biomarkers) to classify breast cancer according to its apparent anatomic site of origin in the new era where tumours are found at their nonpalpable, earliest detectable phase. Method: Large format, subgross, three-dimensional histopathologic images of breast cancer subtypes and their corresponding imaging biomarkers were correlated with large format thin section histopathology and long-term patient outcome. Results: This systematic correlation indicates that breast cancers arise from three separate fibroglandular tissue components: the terminal ductal lobular units (TDLUs), the major lactiferous ducts, and in the stem cells of the mesenchyme. The resulting three cancer subgroups have distinctly different clinical, histopathological and mammographic presentations and different long-term outcomes. The relative frequency of these three breast cancer subgroups is approximately 75%, 20% and 5%, respectively. Classification of breast cancers according to their anatomic site of origin, as demonstrated with breast imaging and confirmed by subgross histopathology, correlates closely with the long-term patient outcome. Conclusions: Classification of breast cancers according to their site of origin helps overcome the inconsistencies in the current histopathologic terminology with its ductal-lobular dichotomy. The ability of the imaging biomarkers to determine the site of tumour origin and serve as a prognostic indicator emphasizes the increasingly crucial role of breast imaging in the management of breast cancer. Basing breast cancer management upon anatomically relevant terminology challenges the conventional mindset. Our proposals are based on research results from an unprecedented number of prospectively collected nonpalpable breast cancers diagnosed at their earliest detectable phases and followed up for several decades. This article is a general introduction to a series of forthcoming articles describing in detail the breast malignancies originating from the three sites of origin.
AB - Purpose: To use mammographic tumour features (imaging biomarkers) to classify breast cancer according to its apparent anatomic site of origin in the new era where tumours are found at their nonpalpable, earliest detectable phase. Method: Large format, subgross, three-dimensional histopathologic images of breast cancer subtypes and their corresponding imaging biomarkers were correlated with large format thin section histopathology and long-term patient outcome. Results: This systematic correlation indicates that breast cancers arise from three separate fibroglandular tissue components: the terminal ductal lobular units (TDLUs), the major lactiferous ducts, and in the stem cells of the mesenchyme. The resulting three cancer subgroups have distinctly different clinical, histopathological and mammographic presentations and different long-term outcomes. The relative frequency of these three breast cancer subgroups is approximately 75%, 20% and 5%, respectively. Classification of breast cancers according to their anatomic site of origin, as demonstrated with breast imaging and confirmed by subgross histopathology, correlates closely with the long-term patient outcome. Conclusions: Classification of breast cancers according to their site of origin helps overcome the inconsistencies in the current histopathologic terminology with its ductal-lobular dichotomy. The ability of the imaging biomarkers to determine the site of tumour origin and serve as a prognostic indicator emphasizes the increasingly crucial role of breast imaging in the management of breast cancer. Basing breast cancer management upon anatomically relevant terminology challenges the conventional mindset. Our proposals are based on research results from an unprecedented number of prospectively collected nonpalpable breast cancers diagnosed at their earliest detectable phases and followed up for several decades. This article is a general introduction to a series of forthcoming articles describing in detail the breast malignancies originating from the three sites of origin.
KW - Biomarkers
KW - Breast carcinoma in situ
KW - Breast neoplasms
KW - Early detection of cancer
KW - Histopathology technology
KW - Interdisciplinary communication
KW - Mammography
KW - Margins of excision
KW - Pathologists
KW - Patient care
KW - Precision oncology
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UR - http://www.scopus.com/inward/citedby.url?scp=85124403672&partnerID=8YFLogxK
U2 - 10.1016/j.ejrad.2022.110189
DO - 10.1016/j.ejrad.2022.110189
M3 - Article
C2 - 35151954
AN - SCOPUS:85124403672
SN - 0720-048X
VL - 149
JO - European Journal of Radiology
JF - European Journal of Radiology
M1 - 110189
ER -