Appendix from Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities

Autor: Mark E. Sherman, Louise A. Brinton, Stephen M. Hewitt, Brian L. Sprague, Hisani N. Horne, Hannah Oh, Jackie Xiang, Maya Palakal, Amir Pasha Mahmoudzadeh, Bo Fan, Donald L. Weaver, Pamela M. Vacek, Serghei Malkov, Jeff Wang, John A. Shepherd, Sally D. Herschorn, Rachael E. Chicoine, Jason M. Johnson, Daphne Papathomas, Laura Linville, Jonine D. Figueroa, Ruth M. Pfeiffer, Deesha A. Patel, Gretchen L. Gierach

Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9334691df3b78c7464cde63f8d0d053
https://doi.org/10.1158/1940-6207.22533637

Supplementary Tables 1 through 5 from Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities

Autor: Mark E. Sherman, Louise A. Brinton, Stephen M. Hewitt, Brian L. Sprague, Hisani N. Horne, Hannah Oh, Jackie Xiang, Maya Palakal, Amir Pasha Mahmoudzadeh, Bo Fan, Donald L. Weaver, Pamela M. Vacek, Serghei Malkov, Jeff Wang, John A. Shepherd, Sally D. Herschorn, Rachael E. Chicoine, Jason M. Johnson, Daphne Papathomas, Laura Linville, Jonine D. Figueroa, Ruth M. Pfeiffer, Deesha A. Patel, Gretchen L. Gierach

Supplementary Table 1. Spearman partial rank-order correlations for TDLU measures among pre- and postmenopausal women Supplementary Table 2. Spearman partial rank-order correlations between global and peri-lesional volumetric mammographic density mea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59469fe392681b536e1d8729cbc0dde4
https://doi.org/10.1158/1940-6207.22533631.v1

Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast

Autor: Louise A. Brinton, Donald L. Weaver, Deesha A. Patel, Brian L. Sprague, Carolyn Mies, Gretchen L. Gierach, Stephen M. Hewitt, Hannah Oh, Susan E. Clare, Joshua N. Sampson, Pamela M. Vacek, Shaoqi Fan, Daphne Papathomas, Stephen J. Chanock, Montserrat Garcia-Closas, Anna Maria Storniolo, Clara Bodelon, Jackie Xiang, Jonine D. Figueroa, Daniel W. Visscher, Chunyan He, Maya Palakal, Andriy Derkach, Laura Linville

Publikováno v: Bodelon, C, Oh, H, Derkach, A, Sampson, J N, Sprague, B L, Vacek, P, Weaver, D L, Fan, S, Palakal, M, Papathomas, D, Xiang, J, Patel, D A, Linville, L, Clare, S E, Visscher, D W, Mies, C, Hewitt, S M, Brinton, L A, Storniolo, A M V, He, C, Chanock, S J, Garcia-Closas, M, Gierach, G L & Figueroa, J D 2020, ' Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast ', NPJ Breast Cancer, vol. 6, pp. 41 . https://doi.org/10.1038/s41523-020-00184-7
npj Breast Cancer, Vol 6, Iss 1, Pp 1-6 (2020)
NPJ Breast Cancer

Terminal duct lobular units (TDLUs) are the predominant anatomical structures where breast cancers originate. Having lesser degrees of age-related TDLU involution, measured as higher TDLUs counts or more epithelial TDLU substructures (acini), is rela

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d470db76ca55339ca846971d195c9e4
https://hdl.handle.net/20.500.11820/cc9b1d92-1613-40bd-8a71-073d4bf762b8

Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

Autor: Ruth M. Pfeiffer, Sally D. Herschorn, Maya Palakal, Maeve Mullooly, Brian L. Sprague, Shaoqi Fan, Andrew H. Beck, Nico Karssemeijer, Jeroen van der Laak, Serghei Malkov, Jeff Wang, Mark E. Sherman, Pamela M. Vacek, Jason M. Johnson, Louise A. Brinton, Amir Pasha Mahmoudzadeh, Bo Fan, Babak Ehteshami Bejnordi, John A. Shepherd, Donald L. Weaver, Stephen M. Hewitt, Gretchen L. Gierach, Manila Hada

Publikováno v: NPJ breast cancer, 5
npj Breast Cancer, Vol 5, Iss 1, Pp 1-11 (2019)
NPJ Breast Cancer

Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep learning approaches to identify histolog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b29aa15cf9cf639a6434f181971d6f8
https://doi.org/10.1038/s41523-019-0134-6

E-cadherin breast tumor expression, risk factors and survival: Pooled analysis of 5,933 cases from 12 studies in the Breast Cancer Association Consortium

Autor: Hisani N. Horne, Hannah Oh, Mark E. Sherman, Maya Palakal, Stephen M. Hewitt, Marjanka K. Schmidt, Roger L. Milne, David Hardisson, Javier Benitez, Carl Blomqvist, Manjeet K. Bolla, Hermann Brenner, Jenny Chang-Claude, Renata Cora, Fergus J. Couch, Katarina Cuk, Peter Devilee, Douglas F. Easton, Diana M. Eccles, Ursula Eilber, Jaana M. Hartikainen, Päivi Heikkilä, Bernd Holleczek, Maartje J. Hoo

Publikováno v: Scientific Reports

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::d322172223e937cec0b13a7218694082