Single‐cell RNA sequencing reveals the heterogeneity of epithelial cell and fibroblast cells from non‐ to metastatic lymph node OTSCC

肿瘤微环境 癌相关成纤维细胞 癌症研究 细胞 肿瘤进展 淋巴结 转移 生物 病理 癌症 医学 内科学 肿瘤细胞 遗传学
作者
Dandan Song,Fei Yang,Yang Sun,Xingwen Wu,Qianrong Zhou,Wei Bi,Jian Sun,Siyi Li,Youcheng Yu
出处
期刊:The FASEB Journal [Wiley]
卷期号:38 (1): e23390-e23390 被引量:5
标识
DOI:10.1096/fj.202301724r
摘要

Abstract Lymph node metastasis (LNM) is one of the common features of oral tongue squamous cell carcinoma (OTSCC). LNM is also taken as a sign of advanced OTSCC and poor survival rate. Recently, single‐cell RNA sequencing has been applied in investigating the heterogeneity of tumor microenvironment and discovering the potential biomarkers for helping the diagnosis and prognosticating. Pathogenesis of LNM in OTSCC remains unknown. Specifically, cancer‐associated fibroblasts (CAFs) and epithelial tumor cells could foster the progression of tumors. Thus, in this study, we aimed to comprehensively analyze the roles of subpopulations of CAFs and epithelial tumor cells in lymph node metastatic OTSCC using the integration of OTSCC single‐cell RNA sequencing datasets. Four distinct subtypes of CAFs, namely vascular CAFs, myofibroblast CAFs, inflammatory CAFs, and growth arrest CAFs were successfully discovered in LNM tumor and confirmed the roles of GAS and PTN pathways in the progression of tumor metastasis. In addition, NKAIN2+ epithelial cells and FN1+ epithelial cells specifically exhibited an upregulation of PTN, NRG, MIF, and SPP1 signaling pathways in the metastatic OTSCC. In doing so, we put forth some potential biomarkers that could be utilized for the purpose of diagnosing and prognosticating OTSCC during its metastatic phase and tried to confirm by immunofluorescence assays.
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
科研通AI6.4应助三好学生采纳,获得10
刚刚
2秒前
3秒前
科研通AI6.4应助liam采纳,获得10
3秒前
4秒前
Glacier发布了新的文献求助10
4秒前
上官若男应助OpheliaFarrant采纳,获得10
4秒前
4秒前
冷静新烟发布了新的文献求助10
5秒前
6秒前
奔跑应助康阿蛋采纳,获得10
6秒前
dd发布了新的文献求助10
7秒前
kano发布了新的文献求助10
8秒前
大模型应助费代云采纳,获得10
8秒前
SciGPT应助费代云采纳,获得10
8秒前
传奇3应助费代云采纳,获得10
8秒前
852应助费代云采纳,获得10
8秒前
852应助费代云采纳,获得10
9秒前
bkagyin应助费代云采纳,获得10
9秒前
思源应助费代云采纳,获得10
9秒前
可爱的函函应助费代云采纳,获得10
9秒前
NexusExplorer应助费代云采纳,获得10
9秒前
彭于晏应助费代云采纳,获得10
9秒前
9秒前
10秒前
正在努力的科研狗完成签到,获得积分10
10秒前
宋胖完成签到,获得积分10
10秒前
落花生发布了新的文献求助10
11秒前
海潮发布了新的文献求助10
11秒前
慕青应助simu采纳,获得30
12秒前
12秒前
细腻听白完成签到,获得积分10
13秒前
科研通AI6.4应助Kaka采纳,获得10
13秒前
14秒前
15秒前
香蕉觅云应助漂亮的沛萍采纳,获得10
15秒前
15秒前
16秒前
啊阿阿阿沐完成签到,获得积分10
18秒前
七月不远发布了新的文献求助10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7604121
求助须知:如何正确求助?哪些是违规求助? 9180013
关于积分的说明 19660665
捐赠科研通 7179277
什么是DOI,文献DOI怎么找? 3269308
关于科研通互助平台的介绍 2433351
邀请新用户注册赠送积分活动 2263349