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Digital droplet PCR analysis of organoids generated from mouse mammary tumors demonstrates proof-of-concept capture of tumor heterogeneity.
Lake, Katherine E; Colonnetta, Megan M; Smith, Clayton A; Saunders, Kaitlyn; Martinez-Algarin, Kenneth; Mohta, Sakshi; Pena, Jacob; McArthur, Heather L; Reddy, Sangeetha M; Roussos Torres, Evanthia T; Chen, Elizabeth H; Chan, Isaac S.
Afiliación
  • Lake KE; Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern, Dallas, TX, United States.
  • Colonnetta MM; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Smith CA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Saunders K; Department of Molecular Biology, University of Texas Southwestern, Dallas, TX, United States.
  • Martinez-Algarin K; Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Mohta S; Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Pena J; Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern, Dallas, TX, United States.
  • McArthur HL; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Reddy SM; Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern, Dallas, TX, United States.
  • Roussos Torres ET; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Chen EH; Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern, Dallas, TX, United States.
  • Chan IS; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Front Cell Dev Biol ; 12: 1358583, 2024.
Article en En | MEDLINE | ID: mdl-38827528
ABSTRACT
Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available datasets and characterize their expression and function using a metastatic mouse model of breast cancer. Our findings demonstrate that our organoid generation can be implemented to study clinically relevant features that reflect the genetic heterogeneity of individual tumors.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Cell Dev Biol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Cell Dev Biol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos