Transcriptomics

Dataset Information

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Characterizing the tumor microenvironment of metastatic ovarian cancer by single cell transcriptomics


ABSTRACT: Understanding the cellular composition of the tumor microenvironment and the interactions of the cells is essential to the development of successful immunotherapies in cancer. We perform single-cell RNA sequencing (scRNA-seq) of 9,885 cells isolated from the omentum in 6 patients with ovarian cancer and identify 9 major cell types, including cancer, stromal, and immune cells. Transcriptional analysis of immune cells stratifies our patient samples into 2 groups: (1) high T cell infiltration (high Tinf) and (2) low T cell infiltration (low Tinf). TOX-expressing resident memory CD8+ T (CD8+ Trm) and granulysin-expressing CD4+ T cell clusters are enriched in the high Tinf group. Concurrently, we find unique plasmablast and plasma B cell clusters, and finally, NR1H2+IRF8+ and CD274+ macrophage clusters, suggesting an anti-tumor response in the high Tinf group. Our scRNA-seq study of metastatic tumor samples provides important insights in elucidating the immune response within ovarian tumors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE147082 | GEO | 2021/05/04

REPOSITORIES: GEO

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