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Unique evolutionary trajectories of breast cancers with distinct genomic and spatial heterogeneity.
Phung, Tanya N; Webster, Timothy H; Lenkiewicz, Elizabeth; Malasi, Smriti; Andreozzi, Mariacarla; McCullough, Ann E; Anderson, Karen S; Pockaj, Barbara A; Wilson, Melissa A; Barrett, Michael T.
Afiliación
  • Phung TN; School of Life Sciences, Arizona State University, Tempe, AZ, USA.
  • Webster TH; Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA.
  • Lenkiewicz E; School of Life Sciences, Arizona State University, Tempe, AZ, USA.
  • Malasi S; Department of Anthropology, University of Utah, Salt Lake City, UT, USA.
  • Andreozzi M; Division of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA.
  • McCullough AE; Division of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA.
  • Anderson KS; Division of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA.
  • Pockaj BA; Department of Pathology and Laboratory Medicine, Mayo Clinic in Arizona, Scottsdale, AZ, USA.
  • Wilson MA; Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Barrett MT; Division of General Surgery, Section of Surgical Oncology, Mayo Clinic in Arizona, Phoenix, AZ, USA.
Sci Rep ; 11(1): 10571, 2021 05 19.
Article en En | MEDLINE | ID: mdl-34011996
ABSTRACT
Breast cancers exhibit intratumoral heterogeneity associated with disease progression and therapeutic resistance. To define the sources and the extent of heterogeneity, we performed an in-depth analysis of the genomic architecture of three chemoradiation-naïve breast cancers with well-defined clinical features including variable ER, PR, ERBB2 receptor expression and two distinct pathogenic BRCA2mut genotypes. The latter included a germ line carrier and a patient with a somatic variant. In each case we combined DNA content-based flow cytometry with whole exome sequencing and genome wide copy number variant (CNV) analysis of distinct populations sorted from multiple (4-18) mapped biopsies within the tumors and involved lymph nodes. Interrogating flow-sorted tumor populations from each biopsy provided an objective method to distinguish fixed and variable genomic lesions in each tumor. Notably we show that tumors exploit CNVs to fix mutations and deletions in distinct populations throughout each tumor. The identification of fixed genomic lesions that are shared or unique within each tumor, has broad implications for the study of tumor heterogeneity including the presence of tumor markers and therapeutic targets, and of candidate neoepitopes in breast and other solid tumors that can advance more effective treatment and clinical management of patients with disease.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Carcinoma Ductal de Mama / Evolución Molecular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Carcinoma Ductal de Mama / Evolución Molecular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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