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Clonal expansion of intra-epithelial T cells in breast cancer revealed by spatial transcriptomics.
Romanens, Lou; Chaskar, Prasad; Marcone, Rachel; Ryser, Stephan; Tille, Jean-Christophe; Genolet, Raphael; Heimgartner-Hu, Ketty; Heimgartner, Killian; Moore, Jonathan S; Liaudet, Nicolas; Kaya, Gürkan; Pittet, Mikael J; Dietrich, Pierre-Yves; Delorenzi, Mauro; Speiser, Daniel E; Harari, Alexandre; Tsantoulis, Petros; Labidi-Galy, Sana Intidhar.
Afiliação
  • Romanens L; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
  • Chaskar P; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
  • Marcone R; Department of Oncology, Hôpitaux Universitaires de Genève, Genève, Switzerland.
  • Ryser S; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Tille JC; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
  • Genolet R; Department of Diagnosis, Division of Clinical Pathology, Hôpitaux Universitaires de Genève, Genève, Switzerland.
  • Heimgartner-Hu K; Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Swiss Cancer Center Leman, Lausanne, Switzerland.
  • Heimgartner K; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
  • Moore JS; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
  • Liaudet N; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
  • Kaya G; Bioimaging Core Facility, Faculty of Medicine, University of Geneva, Genève, Switzerland.
  • Pittet MJ; Department of Diagnosis, Division of Clinical Pathology, Hôpitaux Universitaires de Genève, Genève, Switzerland.
  • Dietrich PY; Department of Medicine, Division of Dermatology, Hôpitaux Universitaires de Genève, Genève, Switzerland.
  • Delorenzi M; Department of Oncology, Hôpitaux Universitaires de Genève, Genève, Switzerland.
  • Speiser DE; Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Genève, Switzerland.
  • Harari A; Ludwig Institute for Cancer Research, Lausanne, Switzerland.
  • Tsantoulis P; AGORA Cancer Center, Lausanne, Switzerland.
  • Labidi-Galy SI; Faculty of Medicine, Department of Medicine and Center of Translational Research in Onco-Hematology, University of Geneva, Swiss Cancer Center Leman, Genève, Switzerland.
Int J Cancer ; 153(9): 1568-1578, 2023 11 01.
Article em En | MEDLINE | ID: mdl-37306359
The spatial distribution of tumor-infiltrating lymphocytes (TIL) predicts breast cancer outcome and response to systemic therapy, highlighting the importance of an intact tissue structure for characterizing tumors. Here, we present ST-FFPE, a spatial transcriptomics method for the analysis of formalin-fixed paraffin-embedded samples, which opens the possibility of interrogating archival tissue. The method involves extraction, exome capture and sequencing of RNA from different tumor compartments microdissected by laser-capture, and can be used to study the cellular composition of tumor microenvironment. Focusing on triple-negative breast cancer (TNBC), we characterized T cells, B cells, dendritic cells, fibroblasts and endothelial cells in both stromal and intra-epithelial compartments. We found a highly variable spatial distribution of immune cell subsets among tumors. This analysis revealed that the immune repertoires of intra-epithelial T and B cells were consistently less diverse and more clonal than those of stromal T and B cells. T-cell receptor (TCR) sequencing confirmed a reduced diversity and higher clonality of intra-epithelial T cells relative to the corresponding stromal T cells. Analysis of the top 10 dominant clonotypes in the two compartments showed a majority of shared but also some unique clonotypes both in stromal and intra-epithelial T cells. Hyperexpanded clonotypes were more abundant among intra-epithelial than stromal T cells. These findings validate the ST-FFPE method and suggest an accumulation of antigen-specific T cells within tumor core. Because ST-FFPE is applicable for analysis of previously collected tissue samples, it could be useful for rapid assessment of intratumoral cellular heterogeneity in multiple disease and treatment settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article