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Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment.
Barkley, Dalia; Moncada, Reuben; Pour, Maayan; Liberman, Deborah A; Dryg, Ian; Werba, Gregor; Wang, Wei; Baron, Maayan; Rao, Anjali; Xia, Bo; França, Gustavo S; Weil, Alejandro; Delair, Deborah F; Hajdu, Cristina; Lund, Amanda W; Osman, Iman; Yanai, Itai.
Affiliation
  • Barkley D; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Moncada R; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Pour M; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Liberman DA; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Dryg I; Department of Dermatology, NYU Langone Medical Center, New York, NY, USA.
  • Werba G; Department of Surgery, NYU Langone Health, New York, NY, USA.
  • Wang W; Department of Pathology, NYU Langone Medical Center, New York, NY, USA.
  • Baron M; Department of Surgery, NYU Langone Health, New York, NY, USA.
  • Rao A; Department of Pathology, NYU Langone Medical Center, New York, NY, USA.
  • Xia B; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • França GS; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Weil A; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Delair DF; Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
  • Hajdu C; Department of Pathology, NYU Langone Medical Center, New York, NY, USA.
  • Lund AW; Department of Pathology, NYU Langone Medical Center, New York, NY, USA.
  • Osman I; Department of Pathology, NYU Langone Medical Center, New York, NY, USA.
  • Yanai I; Department of Dermatology, NYU Langone Medical Center, New York, NY, USA.
Nat Genet ; 54(8): 1192-1201, 2022 08.
Article in En | MEDLINE | ID: mdl-35931863
ABSTRACT
Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of cancer. Here, we perform a pan-cancer single-cell RNA-sequencing analysis across 15 cancer types and identify a catalog of gene modules whose expression defines recurrent cancer cell states including 'stress', 'interferon response', 'epithelial-mesenchymal transition', 'metal response', 'basal' and 'ciliated'. Spatial transcriptomic analysis linked the interferon response in cancer cells to T cells and macrophages in the tumor microenvironment. Using mouse models, we further found that induction of the interferon response module varies by tumor location and is diminished upon elimination of lymphocytes. Our work provides a framework for studying how cancer cell states interact with the tumor microenvironment to form organized systems capable of immune evasion, drug resistance and metastasis.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tumor Microenvironment / Neoplasms Limits: Animals Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tumor Microenvironment / Neoplasms Limits: Animals Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2022 Type: Article Affiliation country: United States