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1.
Nature ; 577(7791): 556-560, 2020 01.
Artigo em Inglês | MEDLINE | ID: mdl-31942077

RESUMO

Soft-tissue sarcomas represent a heterogeneous group of cancer, with more than 50 histological subtypes1,2. The clinical presentation of patients with different subtypes is often atypical, and responses to therapies such as immune checkpoint blockade vary widely3,4. To explain this clinical variability, here we study gene expression profiles in 608 tumours across subtypes of soft-tissue sarcoma. We establish an immune-based classification on the basis of the composition of the tumour microenvironment and identify five distinct phenotypes: immune-low (A and B), immune-high (D and E), and highly vascularized (C) groups. In situ analysis of an independent validation cohort shows that class E was characterized by the presence of tertiary lymphoid structures that contain T cells and follicular dendritic cells and are particularly rich in B cells. B cells are the strongest prognostic factor even in the context of high or low CD8+ T cells and cytotoxic contents. The class-E group demonstrated improved survival and a high response rate to PD1 blockade with pembrolizumab in a phase 2 clinical trial. Together, this work confirms the immune subtypes in patients with soft-tissue sarcoma, and unravels the potential of B-cell-rich tertiary lymphoid structures to guide clinical decision-making and treatments, which could have broader applications in other diseases.


Assuntos
Linfócitos B/imunologia , Imunoterapia , Sarcoma/tratamento farmacológico , Sarcoma/imunologia , Estruturas Linfoides Terciárias/imunologia , Anticorpos Monoclonais Humanizados/farmacologia , Anticorpos Monoclonais Humanizados/uso terapêutico , Linfócitos T CD8-Positivos/imunologia , Estudos de Coortes , Células Dendríticas Foliculares/imunologia , Humanos , Mutação , Fenótipo , Prognóstico , Receptor de Morte Celular Programada 1/antagonistas & inibidores , Reprodutibilidade dos Testes , Sarcoma/classificação , Sarcoma/patologia , Taxa de Sobrevida , Microambiente Tumoral
2.
Clin Cancer Res ; 21(13): 3031-40, 2015 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-25688160

RESUMO

PURPOSE: Clear cell renal cell carcinoma (ccRCC) has shown durable responses to checkpoint blockade therapies. However, important gaps persist in the understanding of its immune microenvironment. This study aims to investigate the expression and prognostic significance of immune checkpoints in primary and metastatic ccRCC, in relation with mature dendritic cells (DC) and T-cell densities. EXPERIMENTAL DESIGN: We investigated the infiltration and the localization of CD8(+) T cells and mature DC, and the expression of immune checkpoints (PD-1, LAG-3, PD-L1, and PD-L2) in relation with prognosis, in 135 primary ccRCC tumors and 51 ccRCC lung metastases. RNA expression data for 496 primary ccRCC samples were used as confirmatory cohort. RESULTS: We identify two groups of tumors with extensive CD8(+) T-cell infiltrates. One group, characterized by high expression of immune checkpoints in the absence of fully functional mature DC, is associated with increased risk of disease progression. The second group, characterized by low expression of immune checkpoints and localization of mature DC in peritumoral immune aggregates (tertiary lymphoid structures), is associated with good prognosis. CONCLUSIONS: The expression of the immune checkpoints and the localization of DC in the tumor microenvironment modulate the clinical impact of CD8(+) T cells in ccRCC.


Assuntos
Carcinoma de Células Renais/imunologia , Neoplasias Renais/imunologia , Antígenos CD/metabolismo , Antígeno B7-H1/metabolismo , Linfócitos T CD8-Positivos/fisiologia , Carcinoma de Células Renais/mortalidade , Carcinoma de Células Renais/secundário , Intervalo Livre de Doença , Humanos , Estimativa de Kaplan-Meier , Neoplasias Renais/mortalidade , Neoplasias Renais/patologia , Linfócitos do Interstício Tumoral/fisiologia , Análise Multivariada , Prognóstico , Proteína 2 Ligante de Morte Celular Programada 1/metabolismo , Receptor de Morte Celular Programada 1/metabolismo , Modelos de Riscos Proporcionais , Microambiente Tumoral , Proteína do Gene 3 de Ativação de Linfócitos
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