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Systematic dissection of tumor-normal single-cell ecosystems across a thousand tumors of 30 cancer types.
Kang, Junho; Lee, Jun Hyeong; Cha, Hongui; An, Jinhyeon; Kwon, Joonha; Lee, Seongwoo; Kim, Seongryong; Baykan, Mert Yakup; Kim, So Yeon; An, Dohyeon; Kwon, Ah-Young; An, Hee Jung; Lee, Se-Hoon; Choi, Jung Kyoon; Park, Jong-Eun.
Afiliación
  • Kang J; Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Lee JH; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Cha H; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • An J; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Kwon J; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Lee S; Division of Cancer Data Science, National Cancer Center, Bioinformatics Branch, Goyang, Republic of Korea.
  • Kim S; Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Baykan MY; Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Kim SY; Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • An D; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Kwon AY; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • An HJ; Department of Pathology, CHA Bundang Medical Center, CHA University, Seongnam-si, Republic of Korea.
  • Lee SH; Department of Pathology, CHA Bundang Medical Center, CHA University, Seongnam-si, Republic of Korea.
  • Choi JK; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. shlee119@skku.edu.
  • Park JE; Department of Health Sciences and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. shlee119@skku.edu.
Nat Commun ; 15(1): 4067, 2024 May 14.
Article en En | MEDLINE | ID: mdl-38744958
ABSTRACT
The complexity of the tumor microenvironment poses significant challenges in cancer therapy. Here, to comprehensively investigate the tumor-normal ecosystems, we perform an integrative analysis of 4.9 million single-cell transcriptomes from 1070 tumor and 493 normal samples in combination with pan-cancer 137 spatial transcriptomics, 8887 TCGA, and 1261 checkpoint inhibitor-treated bulk tumors. We define a myriad of cell states constituting the tumor-normal ecosystems and also identify hallmark gene signatures across different cell types and organs. Our atlas characterizes distinctions between inflammatory fibroblasts marked by AKR1C1 or WNT5A in terms of cellular interactions and spatial co-localization patterns. Co-occurrence analysis reveals interferon-enriched community states including tertiary lymphoid structure (TLS) components, which exhibit differential rewiring between tumor, adjacent normal, and healthy normal tissues. The favorable response of interferon-enriched community states to immunotherapy is validated using immunotherapy-treated cancers (n = 1261) including our lung cancer cohort (n = 497). Deconvolution of spatial transcriptomes discriminates TLS-enriched from non-enriched cell types among immunotherapy-favorable components. Our systematic dissection of tumor-normal ecosystems provides a deeper understanding of inter- and intra-tumoral heterogeneity.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Microambiente Tumoral / Transcriptoma / Neoplasias Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Microambiente Tumoral / Transcriptoma / Neoplasias Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article