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KMID : 1137020220330000004
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Journal of Gynecologic Oncology
2022 Volume.33 No. 0 p.4 ~ p.4
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Single-cell transcriptomics reveals tissue architecture in ovarian carcinosarcoma
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Xu Junfen
Lu Weiguo
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Abstract
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Objective: Ovarian carcinosarcoma (OCS) is one of rarest and most challenging histologic subtype of ovarian cancer. It features remarkable cellular heterogeneity. Using single-cell RNA sequencing (scRNA-seq), we characterize the cellular composition of OCS and identify their molecular characteristics.
Methods: We applied scRNA-seq to resected primary OCS for the in-depth analysis of tumor cells and the tumor microenvironment. Immunohistochemistry staining was used for validation.
Results: Malignant epithelial and fibroblast cells displayed a high-degree of intratumoral heterogeneity. We revealed that certain epithelial cell subclusters had high levels of drug resistance scores and many active metabolic pathways. Furthermore, γδ T cells exhibited enriched interferon (IFN)-γ and IFN-α response characteristics. Analyzing ligand-receptor interaction pairs between cell types, we identified broadly interacting cells and observed an interaction between the ANXA1+ epithelial population and FPR1+/FPR3+ myeloid cells.
Conclusion: Our findings provide a single-cell transcriptomic signature of human OCS and present a well-established resource for elucidating OCS diversity.
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