Basal‐like and classical cells coexist in pancreatic cancer revealed by single‐cell analysis on biopsy‐derived pancreatic cancer organoids from the classical subtype

类有机物 胰腺癌 转录组 间质细胞 表型 舱室(船) 基础(医学) 活检 胰腺 癌细胞 细胞 癌症研究 腺癌 癌症 病理 单细胞分析 医学 生物 基因 细胞生物学 基因表达 内分泌学 遗传学 胰岛素 海洋学 地质学
作者
Natalia Juiz,Abdessamad El-Kaoutari,Martin Bigonnet,Odile Gayet,Julie Roques,Rémy Nicolle,Juan Iovanna,Nelson Dusetti
出处
期刊:The FASEB Journal [Wiley]
卷期号:34 (9): 12214-12228 被引量:119
标识
DOI:10.1096/fj.202000363rr
摘要

Pancreatic ductal adenocarcinoma (PDAC) is composed of stromal, immune, and cancerous epithelial cells. Transcriptomic analysis of the epithelial compartment allows classification into different phenotypic subtypes as classical and basal-like. However, little is known about the intra-tumor heterogeneity particularly in the epithelial compartment. Growing evidences suggest that this phenotypic segregation is not so precise and different cancerous cell types may coexist in a single tumor. To test this hypothesis, we performed single-cell transcriptomic analyses using combinational barcoding exclusively on epithelial cells from six different classical PDAC patients obtained by Endoscopic Ultrasound (EUS) with Fine Needle Aspiration (FNA). To purify the epithelial compartment, PDAC were grown as biopsy-derived pancreatic cancer organoids. Single-cell transcriptomic analysis allowed the identification of four main cell clusters present in different proportions in all tumors. Remarkably, although all these tumors were classified as classical, one cluster present in all corresponded to a basal-like phenotype. These results reveal an unanticipated high heterogeneity of pancreatic cancers and demonstrate that basal-like cells, which have a highly aggressive phenotype, are more widespread than expected.

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
上官若男应助机灵水卉采纳,获得10
刚刚
wakaka12138完成签到,获得积分10
刚刚
小马甲应助xhlk采纳,获得10
刚刚
xxb发布了新的文献求助10
1秒前
Shelby发布了新的文献求助30
1秒前
Orange应助陈子旋采纳,获得10
2秒前
全世界的无产阶级完成签到,获得积分10
3秒前
轨迹应助安小云采纳,获得10
3秒前
科研不通完成签到,获得积分10
4秒前
轨迹应助安一采纳,获得20
4秒前
隐形曼青应助风趣的绮露采纳,获得10
5秒前
crd发布了新的文献求助10
7秒前
西哥完成签到,获得积分10
8秒前
orixero应助呆萌的睿渊采纳,获得10
8秒前
共享精神应助曹艳龙采纳,获得30
9秒前
一只冬瓜zZ完成签到 ,获得积分10
9秒前
宙船发布了新的文献求助10
9秒前
追寻筮完成签到,获得积分10
10秒前
11秒前
13秒前
13秒前
ding应助我哈哈哈采纳,获得10
14秒前
Lucas应助旺旺小仙采纳,获得10
14秒前
2滴水发布了新的文献求助10
15秒前
liushikai完成签到,获得积分10
15秒前
15秒前
15秒前
222666发布了新的文献求助10
16秒前
汉堡包应助小艾采纳,获得10
16秒前
儒飞发布了新的文献求助10
16秒前
16秒前
bkagyin应助lavender123采纳,获得10
17秒前
18秒前
庞初南完成签到,获得积分10
18秒前
18秒前
19秒前
共享精神应助wakaka12138采纳,获得10
19秒前
后花园里小金刚完成签到,获得积分10
19秒前
轨迹应助星启采纳,获得20
20秒前
cdragon发布了新的文献求助10
21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
Kinesiophobia : a new view of chronic pain behavior 2000
Psychology and Work Today 1000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5905646
求助须知:如何正确求助?哪些是违规求助? 6780458
关于积分的说明 15763133
捐赠科研通 5029456
什么是DOI,文献DOI怎么找? 2708083
邀请新用户注册赠送积分活动 1656961
关于科研通互助平台的介绍 1602007