Single-cell transcriptome profiling of primary tumors and paired organoids of pancreatobiliary cancer

类有机物 转录组 生物 胰腺癌 癌症研究 癌症 原发性肿瘤 癌细胞 病理 基因 医学 细胞生物学 基因表达 遗传学 转移
作者
Kai Chen,Yongsu Ma,Xiejian Zhong,Jianqiang Lan,Long Di,Xiaodong Tian,Yanlian Yang,Yinmo Yang
出处
期刊:Cancer Letters [Elsevier BV]
卷期号:582: 216586-216586 被引量:26
标识
DOI:10.1016/j.canlet.2023.216586
摘要

Single-cell RNA-seq (scRNA-seq) and cancer organoid model have shown promise in investigating tumor microenvironment heterogeneity and facilitating chemotherapeutic drug testing to inform treatment selection. It is still unknown whether the scRNA-seq results based on organoid can faithfully reflect the heterogeneity of primary pancreatobiliary cancer. To reveal the similarities and differences between primary tumors and their matched organoids at transcriptome level, we conducted scRNA-seq for paired primary tumors and organoids from one cholangiocarcinoma (CCA) and two pancreatic ductal adenocarcinoma (PDAC) patients. We identified inter-patient and intra-tumor heterogeneity and found that the organoids retained copy number variation (CNV) patterns of primary tumors. There was no significant difference in cancer stem cell (CSC) properties between the primary tumors and the organoids, whereas organoid from one PDAC case had increased mesenchymal-score and decreased epithelial-score compared with the primary tumors. All organoids showed a transition tendency from the classical subtype to the basal-like subtype in the transcriptional level. Organoids and primary tumors differed in metabolic and unfolded protein response (UPR) signatures. In addition, we revealed the heterogeneity of cancer associated fibroblasts (CAFs) and T cells, and explored the developmental trajectory of T cells. Our findings facilitate further understanding of organoid model and confirm its application prospects in pancreatobiliary cancer.
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
刚刚
jinglinlin完成签到,获得积分10
1秒前
2秒前
2秒前
orixero的应助被千乘采纳,获得10
3秒前
4秒前
4秒前
崔哈哈发布了新的文献求助10
4秒前
醉熏的丹秋完成签到,获得积分10
4秒前
5秒前
YW完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
6秒前
molihuakai的应助被不想做实验噜采纳,获得10
6秒前
Yang完成签到,获得积分10
7秒前
7秒前
77完成签到,获得积分10
7秒前
7秒前
Nike发布了新的文献求助20
7秒前
李健的小迷弟的应助被椎珏采纳,获得10
8秒前
Nike发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
8秒前
8秒前
潇洒奎完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
雨滴音乐完成签到,获得积分10
10秒前
阿聪发布了新的文献求助10
10秒前
10秒前
已歌完成签到 ,获得积分10
10秒前
10秒前
风雪征途发布了新的文献求助10
11秒前
alisa发布了新的文献求助10
11秒前
11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
Les Mantodea De Guyane 2000
Narrative Disclosure and Earnings Performance: Evidence from R&D Disclosures 1050
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Positive Psychology 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8005883
求助须知:如何正确求助?哪些是违规求助? 9456800
关于积分的说明 21163133
捐赠科研通 7578482
什么是DOI,文献DOI怎么找? 3382195
关于科研通互助平台的介绍 2514931
邀请新用户注册赠送积分活动 2417114