Tumor-derived Endothelial Cell: Important Etiological Factors in Endometriosis

子宫内膜异位症 血管生成 癌症研究 新生血管 细胞 生物 医学 内科学 遗传学
作者
Yishan Dong,Ming Zhang,Jun Ouyang,Wenbai Zhou,Bin Yu
出处
期刊:Archives of Medical Research [Elsevier]
卷期号:54 (7): 102891-102891
标识
DOI:10.1016/j.arcmed.2023.102891
摘要

Endometriosis (EMS) is a very complex disease with high heterogeneity. Recently, single-cell RNA sequencing (scRNA-seq) has been applied to comprehensively characterize cellular heterogeneity. Here, we built a new transcriptomic profile of EMS cellular signatures. Three women diagnosed with endometriosis were recruited. Their fresh eutopic endometrium (EM) and ectopic endometrium (EC) tissues were sampled during surgery. ScRNA-seq was performed on 10x Genomics Chromium. Thirty cell clusters were identified as more than ten different cell types using cell type-specific marker genes. Re-clustering analysis revealed five subtypes of endothelial cells (ECs). Compared to EM, the proportion of tumor-derived ECs (IGFBP3+) was significantly increased in EC (43.8 vs. 16.0%). 63 differentially expressed genes (DEGs) between tumor-derived ECs and normal ECs were enriched in “angiogenesis”, such as EFNB2, DLL4, and THSD7A. Subsequently, 114 retrospective EMS cases were included in clinical validation studies of EFNB2. It was co-expressed with PECAM1 and IGFBP3 and significantly increased in EC. Meanwhile, the recurrence rate of women with EFNB2++ expression was significantly higher than that of EFNB2+ cases (p <0.05). The significant increase in tumor-derived ECs characterized by neovascularization may be an important pathological feature of EMS. In addition, EFNB2 plays an important role and is closely related to the recurrence of EMS.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Jenny应助lan采纳,获得10
刚刚
fztnh完成签到,获得积分10
刚刚
上官若男应助lyz666采纳,获得10
刚刚
顾念完成签到 ,获得积分10
刚刚
277发布了新的文献求助10
1秒前
小二郎应助GCD采纳,获得10
2秒前
hhhhhh完成签到 ,获得积分10
2秒前
甜味拾荒者完成签到,获得积分10
4秒前
小二郎应助BONBON采纳,获得10
4秒前
5秒前
charllie完成签到 ,获得积分10
5秒前
空禅yew完成签到,获得积分10
6秒前
坚强亦丝应助跳跃采纳,获得10
8秒前
英俊的铭应助cc采纳,获得10
8秒前
huangsan完成签到,获得积分10
8秒前
匹诺曹完成签到,获得积分10
8秒前
9秒前
华仔应助进取拼搏采纳,获得10
9秒前
10秒前
dingdong发布了新的文献求助10
10秒前
you完成签到 ,获得积分10
11秒前
qwf完成签到 ,获得积分10
11秒前
12秒前
万能图书馆应助一一采纳,获得10
12秒前
执着跳跳糖完成签到 ,获得积分10
13秒前
阳yang完成签到,获得积分10
13秒前
牛头人完成签到,获得积分10
13秒前
14秒前
Rrr发布了新的文献求助10
14秒前
15秒前
15秒前
serenity完成签到 ,获得积分10
15秒前
Benliu完成签到,获得积分10
15秒前
csq发布了新的文献求助10
16秒前
17秒前
Hello应助外向的醉易采纳,获得10
17秒前
DWWWDAADAD完成签到,获得积分10
20秒前
科研通AI5应助一天八杯水采纳,获得10
21秒前
杨大仙儿完成签到 ,获得积分10
21秒前
23秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808