Your browser doesn't support javascript.
loading
Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer.
Enfield, Katey S S; Colliver, Emma; Lee, Claudia; Magness, Alastair; Moore, David A; Sivakumar, Monica; Grigoriadis, Kristiana; Pich, Oriol; Karasaki, Takahiro; Hobson, Philip S; Levi, Dina; Veeriah, Selvaraju; Puttick, Clare; Nye, Emma L; Green, Mary; Dijkstra, Krijn K; Shimato, Masako; Akarca, Ayse U; Marafioti, Teresa; Salgado, Roberto; Hackshaw, Allan; Jamal-Hanjani, Mariam; van Maldegem, Febe; McGranahan, Nicholas; Glass, Benjamin; Pulaski, Hanna; Walk, Eric; Reading, James L; Quezada, Sergio A; Hiley, Crispin T; Downward, Julian; Sahai, Erik; Swanton, Charles; Angelova, Mihaela.
Afiliação
  • Enfield KSS; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Colliver E; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Lee C; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Magness A; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Moore DA; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Sivakumar M; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Grigoriadis K; Department of Cellular Pathology, University College London Hospitals, London, United Kingdom.
  • Pich O; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Karasaki T; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Hobson PS; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Levi D; Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Veeriah S; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Puttick C; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Nye EL; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Green M; Cancer Metastasis Laboratory, University College London Cancer Institute, London, United Kingdom.
  • Dijkstra KK; Flow Cytometry, The Francis Crick Institute, London, United Kingdom.
  • Shimato M; Flow Cytometry, The Francis Crick Institute, London, United Kingdom.
  • Akarca AU; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Marafioti T; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Salgado R; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Hackshaw A; Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Jamal-Hanjani M; Experimental Histopathology, The Francis Crick Institute, London, United Kingdom.
  • van Maldegem F; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • McGranahan N; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom.
  • Glass B; Department of Cellular Pathology, University College London Hospitals, London, United Kingdom.
  • Pulaski H; Department of Cellular Pathology, University College London Hospitals, London, United Kingdom.
  • Walk E; Department of Pathology, ZAS Hospitals, Antwerp, Belgium.
  • Reading JL; Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
  • Quezada SA; Cancer Research UK and University College London Cancer Trials Centre, London, United Kingdom.
  • Downward J; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.
  • Sahai E; Cancer Metastasis Laboratory, University College London Cancer Institute, London, United Kingdom.
  • Swanton C; Department of Oncology, University College London Hospitals, London, United Kingdom.
  • Angelova M; Oncogene Biology Laboratory, The Francis Crick Institute, London, United Kingdom.
Cancer Discov ; 14(6): 1018-1047, 2024 Jun 03.
Article em En | MEDLINE | ID: mdl-38581685
ABSTRACT
Understanding the role of the tumor microenvironment (TME) in lung cancer is critical to improving patient outcomes. We identified four histology-independent archetype TMEs in treatment-naïve early-stage lung cancer using imaging mass cytometry in the TRACERx study (n = 81 patients/198 samples/2.3 million cells). In immune-hot adenocarcinomas, spatial niches of T cells and macrophages increased with clonal neoantigen burden, whereas such an increase was observed for niches of plasma and B cells in immune-excluded squamous cell carcinomas (LUSC). Immune-low TMEs were associated with fibroblast barriers to immune infiltration. The fourth archetype, characterized by sparse lymphocytes and high tumor-associated neutrophil (TAN) infiltration, had tumor cells spatially separated from vasculature and exhibited low spatial intratumor heterogeneity. TAN-high LUSC had frequent PIK3CA mutations. TAN-high tumors harbored recently expanded and metastasis-seeding subclones and had a shorter disease-free survival independent of stage. These findings delineate genomic, immune, and physical barriers to immune surveillance and implicate neutrophil-rich TMEs in metastasis.

SIGNIFICANCE:

This study provides novel insights into the spatial organization of the lung cancer TME in the context of tumor immunogenicity, tumor heterogeneity, and cancer evolution. Pairing the tumor evolutionary history with the spatially resolved TME suggests mechanistic hypotheses for tumor progression and metastasis with implications for patient outcome and treatment. This article is featured in Selected Articles from This Issue, p. 897.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microambiente Tumoral / Neoplasias Pulmonares Limite: Female / Humans / Male Idioma: En Revista: Cancer Discov Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microambiente Tumoral / Neoplasias Pulmonares Limite: Female / Humans / Male Idioma: En Revista: Cancer Discov Ano de publicação: 2024 Tipo de documento: Article