亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer

类有机物 甲状腺癌 甲状腺 医学 内科学 癌症研究 病理 内分泌学 生物 化学 细胞生物学 有机化学
作者
Xinyue Zhang,Jiaye Liu,Yinyun Ni,Ying Yang,Tian Tian,Xiaofeng Zheng,Zhihui Li,Rui Huang
出处
期刊:Endocrinology [Oxford University Press]
卷期号:166 (1) 被引量:6
标识
DOI:10.1210/endocr/bqae162
摘要

Radioiodine-refractory differentiated thyroid cancer (RAI-R DTC) accounts for the vast majority of thyroid-related mortality and, until recently, there were limited preclinical models for iodine uptake prediction. In the current study, we aim to establish a primary tumor-derived organoid model of DTC and predict radioiodine (RAI) uptake of tumor residue. The genotypic and phenotypic features between organoid and parental tissue were compared. The RAI uptake assay was used to evaluate the organoid's RAI uptake capacity, and related patients' RAI whole-body scans were used to verify the assay's predictive sensitivity. A total of 20 patient-derived DTC organoids have been established. Whole-exome sequencing and immunofluorescence analysis demonstrated that organoids faithfully recapitulated main features of the original tumor tissue. RAI-avid organoids (n = 11) presented significantly higher RAI uptake than the RAI-refractory (RAI-R) group (n = 9; 384.4 ± 102.7 vs 54.2 ± 13.2 cpm/105 cells, P < .0001). A threshold value in organoids of less than 250 cpm/105 cell was found to have a predictive sensitivity of 95.0% for distinguishing RAI-R from RAI-avid patients when paired to clinical information. Notably, we found that several tyrosine kinase inhibitors moderately re-sensitize iodine uptake by using organoids derived from 3 patients with different genetic mutation backgrounds. In conclusion, patient-derived DTC organoids recapitulated the main characteristics of their parental tissues and preserved ability to uptake radioiodine, showing potential in the development of novel drugs to boost iodine avidity.
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
3秒前
RONG完成签到 ,获得积分10
3秒前
8秒前
光合作用完成签到,获得积分10
10秒前
务实书包完成签到,获得积分10
15秒前
16秒前
17秒前
寒澈发布了新的文献求助10
18秒前
羽生结弦的馨馨完成签到,获得积分10
18秒前
杨科发布了新的文献求助10
22秒前
25秒前
27秒前
27秒前
欢喜完成签到 ,获得积分10
27秒前
沉静代秋发布了新的文献求助10
30秒前
葛恒敏发布了新的文献求助10
37秒前
37秒前
大方的小虾米完成签到,获得积分10
39秒前
44秒前
包子完成签到 ,获得积分10
47秒前
千早爱音发布了新的文献求助10
48秒前
炙热开山发布了新的文献求助30
59秒前
1分钟前
CipherSage应助沉静代秋采纳,获得10
1分钟前
千早爱音完成签到,获得积分10
1分钟前
宝剑葫芦完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
Hello应助科研通管家采纳,获得10
1分钟前
alien52发布了新的文献求助10
1分钟前
1分钟前
LiuZfosu发布了新的文献求助10
1分钟前
pathway完成签到,获得积分0
1分钟前
1分钟前
1分钟前
1分钟前
Gin发布了新的文献求助10
1分钟前
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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
Handbook Of Synthetic Methodologies And Protocols Of Nanomaterials 500
Trees of tropical Asia : an illustrated guide to diversity 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 光电子学 物理化学 电极 基因 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 6985415
求助须知:如何正确求助?哪些是违规求助? 8663330
关于积分的说明 18369066
捐赠科研通 6451513
什么是DOI,文献DOI怎么找? 3094992
关于科研通互助平台的介绍 2153166
邀请新用户注册赠送积分活动 2071134