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Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies

Over 90% of breast cancer is cured; yet there remain highly aggressive breast cancers that develop rapidly and are extremely difficult to treat, much less prevent. Breast cancers that rapidly develop between breast image screening are called “interval cancers.” The efforts of our team focus on ident...

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Autores principales: Frankhauser, David E., Jovanovic‐Talisman, Tijana, Lai, Lily, Yee, Lisa D., Wang, Lihong V., Mahabal, Ashish, Geradts, Joseph, Rockne, Russell C., Tomsic, Jerneja, Jones, Veronica, Sistrunk, Christopher, Miranda‐Carboni, Gustavo, Dietze, Eric C., Erhunmwunsee, Loretta, Hyslop, Terry, Seewaldt, Victoria L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544796/
https://www.ncbi.nlm.nih.gov/pubmed/33001587
http://dx.doi.org/10.1002/wsbm.1506
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author Frankhauser, David E.
Jovanovic‐Talisman, Tijana
Lai, Lily
Yee, Lisa D.
Wang, Lihong V.
Mahabal, Ashish
Geradts, Joseph
Rockne, Russell C.
Tomsic, Jerneja
Jones, Veronica
Sistrunk, Christopher
Miranda‐Carboni, Gustavo
Dietze, Eric C.
Erhunmwunsee, Loretta
Hyslop, Terry
Seewaldt, Victoria L.
author_facet Frankhauser, David E.
Jovanovic‐Talisman, Tijana
Lai, Lily
Yee, Lisa D.
Wang, Lihong V.
Mahabal, Ashish
Geradts, Joseph
Rockne, Russell C.
Tomsic, Jerneja
Jones, Veronica
Sistrunk, Christopher
Miranda‐Carboni, Gustavo
Dietze, Eric C.
Erhunmwunsee, Loretta
Hyslop, Terry
Seewaldt, Victoria L.
author_sort Frankhauser, David E.
collection PubMed
description Over 90% of breast cancer is cured; yet there remain highly aggressive breast cancers that develop rapidly and are extremely difficult to treat, much less prevent. Breast cancers that rapidly develop between breast image screening are called “interval cancers.” The efforts of our team focus on identifying multiscale integrated strategies to identify biologically aggressive precancerous breast lesions. Our goal is to identify spatiotemporal changes that occur prior to development of interval breast cancers. To accomplish this requires integration of new technology. Our team has the ability to perform single cell in situ transcriptional profiling, noncontrast biological imaging, mathematical analysis, and nanoscale evaluation of receptor organization and signaling. These technological innovations allow us to start to identify multidimensional spatial and temporal relationships that drive the transition from biologically aggressive precancer to biologically aggressive interval breast cancer. This article is categorized under: Cancer > Computational Models. Cancer > Molecular and Cellular Physiology. Cancer > Genetics/Genomics/Epigenetics.
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spelling pubmed-85447962022-03-01 Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies Frankhauser, David E. Jovanovic‐Talisman, Tijana Lai, Lily Yee, Lisa D. Wang, Lihong V. Mahabal, Ashish Geradts, Joseph Rockne, Russell C. Tomsic, Jerneja Jones, Veronica Sistrunk, Christopher Miranda‐Carboni, Gustavo Dietze, Eric C. Erhunmwunsee, Loretta Hyslop, Terry Seewaldt, Victoria L. WIREs Mech Dis Focus Articles Over 90% of breast cancer is cured; yet there remain highly aggressive breast cancers that develop rapidly and are extremely difficult to treat, much less prevent. Breast cancers that rapidly develop between breast image screening are called “interval cancers.” The efforts of our team focus on identifying multiscale integrated strategies to identify biologically aggressive precancerous breast lesions. Our goal is to identify spatiotemporal changes that occur prior to development of interval breast cancers. To accomplish this requires integration of new technology. Our team has the ability to perform single cell in situ transcriptional profiling, noncontrast biological imaging, mathematical analysis, and nanoscale evaluation of receptor organization and signaling. These technological innovations allow us to start to identify multidimensional spatial and temporal relationships that drive the transition from biologically aggressive precancer to biologically aggressive interval breast cancer. This article is categorized under: Cancer > Computational Models. Cancer > Molecular and Cellular Physiology. Cancer > Genetics/Genomics/Epigenetics. John Wiley & Sons, Inc. 2020-10-01 2021 /pmc/articles/PMC8544796/ /pubmed/33001587 http://dx.doi.org/10.1002/wsbm.1506 Text en © 2020 The Authors. WIREs Systems Biology and Medicine published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Focus Articles
Frankhauser, David E.
Jovanovic‐Talisman, Tijana
Lai, Lily
Yee, Lisa D.
Wang, Lihong V.
Mahabal, Ashish
Geradts, Joseph
Rockne, Russell C.
Tomsic, Jerneja
Jones, Veronica
Sistrunk, Christopher
Miranda‐Carboni, Gustavo
Dietze, Eric C.
Erhunmwunsee, Loretta
Hyslop, Terry
Seewaldt, Victoria L.
Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
title Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
title_full Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
title_fullStr Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
title_full_unstemmed Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
title_short Spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
title_sort spatiotemporal strategies to identify aggressive biology in precancerous breast biopsies
topic Focus Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544796/
https://www.ncbi.nlm.nih.gov/pubmed/33001587
http://dx.doi.org/10.1002/wsbm.1506
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