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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-8544796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
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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