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Single cell transcriptomes of normal endometrial derived organoids uncover novel cell type markers and cryptic differentiation of primary tumours

生物 转录组 类有机物 子宫内膜癌 免疫组织化学 电池类型 癌症研究 子宫内膜 细胞 病理 基因 癌症 基因表达 内分泌学 细胞生物学 免疫学 遗传学 医学
作者
Dawn R. Cochrane,Kieran R. Campbell,Kendall Greening,Germain C. Ho,James Hopkins,Minh Bui,J. Maxwell Douglas,Vassilena Sharlandjieva,Aslı D. Munzur,Daniel Lai,Maya DeGrood,Evan Gibbard,Samuel Leung,Niki Boyd,Angela Cheng,Christine Chow,Jamie Lim,David Farnell,Stefan Kommoss,Friedrich Kommoss
标识
DOI:10.1002/path.5511
摘要

Abstract Endometrial carcinoma, the most common gynaecological cancer, develops from endometrial epithelium which is composed of secretory and ciliated cells. Pathologic classification is unreliable and there is a need for prognostic tools. We used single cell sequencing to study organoid model systems derived from normal endometrial endometrium to discover novel markers specific for endometrial ciliated or secretory cells. A marker of secretory cells (MPST) and several markers of ciliated cells (FAM92B, WDR16, and DYDC2) were validated by immunohistochemistry on organoids and tissue sections. We performed single cell sequencing on endometrial and ovarian tumours and found both secretory‐like and ciliated‐like tumour cells. We found that ciliated cell markers (DYDC2, CTH, FOXJ1, and p73) and the secretory cell marker MPST were expressed in endometrial tumours and positively correlated with disease‐specific and overall survival of endometrial cancer patients. These findings suggest that expression of differentiation markers in tumours correlates with less aggressive disease, as would be expected for tumours that retain differentiation capacity, albeit cryptic in the case of ciliated cells. These markers could be used to improve the risk stratification of endometrial cancer patients, thereby improving their management. We further assessed whether consideration of MPST expression could refine the ProMiSE molecular classification system for endometrial tumours. We found that higher expression levels of MPST could be used to refine stratification of three of the four ProMiSE molecular subgroups, and that any level of MPST expression was able to significantly refine risk stratification of the copy number high subgroup which has the worst prognosis. Taken together, this shows that single cell sequencing of putative cells of origin has the potential to uncover novel biomarkers that could be used to guide management of cancers. © 2020 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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