RESUMO
Bone metastases are devastating complications of cancer. They are particularly common in prostate cancer (PCa), represent incurable disease, and are refractory to immunotherapy. We seek to define distinct features of the bone marrow (BM) microenvironment by analyzing single cells from bone metastatic prostate tumors, involved BM, uninvolved BM, and BM from cancer-free, orthopedic patients, and healthy individuals. Metastatic PCa is associated with multifaceted immune distortion, specifically exhaustion of distinct T cell subsets, appearance of macrophages with states specific to PCa bone metastases. The chemokine CCL20 is notably overexpressed by myeloid cells, as is its cognate CCR6 receptor on T cells. Disruption of the CCL20-CCR6 axis in mice with syngeneic PCa bone metastases restores T cell reactivity and significantly prolongs animal survival. Comparative high-resolution analysis of PCa bone metastases shows a targeted approach for relieving local immunosuppression for therapeutic effect.
Assuntos
Neoplasias Ósseas/patologia , Neoplasias Ósseas/secundário , Quimiocina CCL20/genética , Neoplasias da Próstata/patologia , Receptores CCR6/genética , Regulação para Cima , Animais , Neoplasias Ósseas/genética , Neoplasias Ósseas/imunologia , Estudos de Casos e Controles , Linhagem Celular Tumoral , Quimiocina CCL20/metabolismo , Regulação Neoplásica da Expressão Gênica , Humanos , Macrófagos/imunologia , Masculino , Camundongos , Células Mieloides/imunologia , Neoplasias da Próstata/genética , Neoplasias da Próstata/imunologia , Receptores CCR6/metabolismo , Análise de Célula Única , Linfócitos T/imunologia , Microambiente TumoralRESUMO
Single-cell RNA sequencing is often applied in study designs that include multiple individuals, conditions or tissues. To identify recurrent cell subpopulations in such heterogeneous collections, we developed Conos, an approach that relies on multiple plausible inter-sample mappings to construct a global graph connecting all measured cells. The graph enables identification of recurrent cell clusters and propagation of information between datasets in multi-sample or atlas-scale collections.