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A single-cell and spatially resolved atlas of human breast cancers.
Wu, Sunny Z; Al-Eryani, Ghamdan; Roden, Daniel Lee; Junankar, Simon; Harvey, Kate; Andersson, Alma; Thennavan, Aatish; Wang, Chenfei; Torpy, James R; Bartonicek, Nenad; Wang, Taopeng; Larsson, Ludvig; Kaczorowski, Dominik; Weisenfeld, Neil I; Uytingco, Cedric R; Chew, Jennifer G; Bent, Zachary W; Chan, Chia-Ling; Gnanasambandapillai, Vikkitharan; Dutertre, Charles-Antoine; Gluch, Laurence; Hui, Mun N; Beith, Jane; Parker, Andrew; Robbins, Elizabeth; Segara, Davendra; Cooper, Caroline; Mak, Cindy; Chan, Belinda; Warrier, Sanjay; Ginhoux, Florent; Millar, Ewan; Powell, Joseph E; Williams, Stephen R; Liu, X Shirley; O'Toole, Sandra; Lim, Elgene; Lundeberg, Joakim; Perou, Charles M; Swarbrick, Alexander.
Afiliación
  • Wu SZ; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Al-Eryani G; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Roden DL; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Junankar S; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Harvey K; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Andersson A; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Thennavan A; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Wang C; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Torpy JR; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Bartonicek N; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Solna, Sweden.
  • Wang T; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Larsson L; Department of Data Science, Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Kaczorowski D; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Weisenfeld NI; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Uytingco CR; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Chew JG; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Bent ZW; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Chan CL; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Gnanasambandapillai V; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Solna, Sweden.
  • Dutertre CA; Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
  • Gluch L; 10x Genomics, Pleasanton, CA, USA.
  • Hui MN; 10x Genomics, Pleasanton, CA, USA.
  • Beith J; 10x Genomics, Pleasanton, CA, USA.
  • Parker A; 10x Genomics, Pleasanton, CA, USA.
  • Robbins E; Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
  • Segara D; Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
  • Cooper C; Gustave Roussy Cancer Campus, Villejuif, France.
  • Mak C; Institut National de la Santé Et de la Recherche Médicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France.
  • Chan B; The Strathfield Breast Centre, Strathfield, New South Wales, Australia.
  • Warrier S; The Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Ginhoux F; Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia.
  • Millar E; Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia.
  • Powell JE; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Williams SR; St Vincent's Hospital, Darlinghurst, New South Wales, Australia.
  • Liu XS; Department of Tissue Pathology and Diagnostic Pathology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
  • O'Toole S; St Vincent's Hospital, Darlinghurst, New South Wales, Australia.
  • Lim E; Pathology Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
  • Lundeberg J; Southside Clinical Unit, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
  • Perou CM; Department of Breast Surgery, Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia.
  • Swarbrick A; Royal Prince Alfred Institute of Academic Surgery, University of Sydney, Sydney, New South Wales, Australia.
Nat Genet ; 53(9): 1334-1347, 2021 09.
Article en En | MEDLINE | ID: mdl-34493872
Breast cancers are complex cellular ecosystems where heterotypic interactions play central roles in disease progression and response to therapy. However, our knowledge of their cellular composition and organization is limited. Here we present a single-cell and spatially resolved transcriptomics analysis of human breast cancers. We developed a single-cell method of intrinsic subtype classification (SCSubtype) to reveal recurrent neoplastic cell heterogeneity. Immunophenotyping using cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) provides high-resolution immune profiles, including new PD-L1/PD-L2+ macrophage populations associated with clinical outcome. Mesenchymal cells displayed diverse functions and cell-surface protein expression through differentiation within three major lineages. Stromal-immune niches were spatially organized in tumors, offering insights into antitumor immune regulation. Using single-cell signatures, we deconvoluted large breast cancer cohorts to stratify them into nine clusters, termed 'ecotypes', with unique cellular compositions and clinical outcomes. This study provides a comprehensive transcriptional atlas of the cellular architecture of breast cancer.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Análisis de la Célula Individual / Transcriptoma Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Análisis de la Célula Individual / Transcriptoma Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2021 Tipo del documento: Article