scRNA-seq data in ovarian cancer

dataset OA: green CC0

Abstract

Ovarian cancer (OC) is an aggressive gynecological tumour usually diagnosed at a late stage with widespread metastases and ascites. We depicted a single-cell landscape of OC ecosystem with five tumour-relevant sites: peripheral blood (PB), pelvic lymph node (PLN), primary tumour (Pri.OT), omentum metastasis (Met.Ome), and malignant ascites. Intercellular tissue dynamics of certain T cells, like GZMK+ effector memory T cell (Tem) and exhausted T cell (Tex), revealed potential roles of ascites as a pool for tumour-infiltrating T cells. Of the macrophages in tumours and ascites that exhibited distinct functional states, ascites-enriched macrophages were more of embryonic origin. For stromal cells in ascites, DES+ mesothelial cells account for the majority and help remodel its immune microenvironment. Further, we identified two endothelial subsets in primary tumours and one MAIT cluster in ascites predicting the responses to platinum-based chemotherapy of OC patients. Our study provides additional insights for ascites ecosystem and its connection with other tumour-relevant tissues, as well as potential markers for efficacy evaluation and therapies overcoming resistance in OC.

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openalex
last seen: 2026-05-10T10:42:50.442627+00:00
License: CC0 · commercial use OK