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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.
Afiliação
  • Frankhauser DE; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Jovanovic-Talisman T; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Lai L; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Yee LD; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Wang LV; Department of Medical Engineering, California Institute of Technology, Pasadena, California, USA.
  • Mahabal A; Center for Data Driven Discovery, California Institute of Technology, Pasadena, California, USA.
  • Geradts J; Department of Pathology, Duke University, Durham, North Carolina, USA.
  • Rockne RC; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Tomsic J; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Jones V; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Sistrunk C; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Miranda-Carboni G; Department of Hematology and Oncology, University of Tennessee, Memphis, Memphis, Tennessee, USA.
  • Dietze EC; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Erhunmwunsee L; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Hyslop T; Department of Biostatistics, Duke University, Durham, North Carolina, USA.
  • Seewaldt VL; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
WIREs Mech Dis ; 13(2): e1506, 2021 03.
Article em En | MEDLINE | ID: mdl-33001587
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lesões Pré-Cancerosas / Neoplasias da Mama Tipo de estudo: Screening_studies Limite: Female / Humans Idioma: En Revista: WIREs Mech Dis Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lesões Pré-Cancerosas / Neoplasias da Mama Tipo de estudo: Screening_studies Limite: Female / Humans Idioma: En Revista: WIREs Mech Dis Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos