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Landscapes of cellular phenotypic diversity in breast cancer xenografts and their impact on drug response.
Georgopoulou, Dimitra; Callari, Maurizio; Rueda, Oscar M; Shea, Abigail; Martin, Alistair; Giovannetti, Agnese; Qosaj, Fatime; Dariush, Ali; Chin, Suet-Feung; Carnevalli, Larissa S; Provenzano, Elena; Greenwood, Wendy; Lerda, Giulia; Esmaeilishirazifard, Elham; O'Reilly, Martin; Serra, Violeta; Bressan, Dario; Mills, Gordon B; Ali, H Raza; Cosulich, Sabina S; Hannon, Gregory J; Bruna, Alejandra; Caldas, Carlos.
Afiliação
  • Georgopoulou D; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Callari M; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Rueda OM; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Shea A; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Martin A; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Giovannetti A; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Qosaj F; Laboratory of Clinical Genomics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
  • Dariush A; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Chin SF; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Carnevalli LS; Institute of Astronomy, University of Cambridge, Cambridge, UK.
  • Provenzano E; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Greenwood W; Bioscience, Oncology, Early Oncology R&D, AstraZeneca, Cambridge, UK.
  • Lerda G; Breast Cancer Programme, CRUK Cambridge Centre, Cambridge, UK.
  • Esmaeilishirazifard E; Cambridge Breast Cancer Research Unit, NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • O'Reilly M; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Serra V; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Bressan D; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Mills GB; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Ali HR; Experimental Therapeutics Group, Vall d'Hebron Institut d'Oncologia, Barcelona, Spain.
  • Cosulich SS; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
  • Bruna A; Cell, Development and Cancer Biology, Knight Cancer Institute, Oregon Health & Sciences University, Portland, OR, USA.
  • Caldas C; Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
Nat Commun ; 12(1): 1998, 2021 03 31.
Article em En | MEDLINE | ID: mdl-33790302
ABSTRACT
The heterogeneity of breast cancer plays a major role in drug response and resistance and has been extensively characterized at the genomic level. Here, a single-cell breast cancer mass cytometry (BCMC) panel is optimized to identify cell phenotypes and their oncogenic signalling states in a biobank of patient-derived tumour xenograft (PDTX) models representing the diversity of human breast cancer. The BCMC panel identifies 13 cellular phenotypes (11 human and 2 murine), associated with both breast cancer subtypes and specific genomic features. Pre-treatment cellular phenotypic composition is a determinant of response to anticancer therapies. Single-cell profiling also reveals drug-induced cellular phenotypic dynamics, unravelling previously unnoticed intra-tumour response diversity. The comprehensive view of the landscapes of cellular phenotypic heterogeneity in PDTXs uncovered by the BCMC panel, which is mirrored in primary human tumours, has profound implications for understanding and predicting therapy response and resistance.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Piperazinas / Piridinas / Pirimidinas / Benzamidas / Neoplasias da Mama / Morfolinas / Ensaios Antitumorais Modelo de Xenoenxerto / Xenoenxertos Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Piperazinas / Piridinas / Pirimidinas / Benzamidas / Neoplasias da Mama / Morfolinas / Ensaios Antitumorais Modelo de Xenoenxerto / Xenoenxertos Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article