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!

Ex vivo drug testing of patient-derived lung organoids to predict treatment responses for personalized medicine

医学 个性化医疗 类有机物 离体 药品 药物发现 精密医学 体内 重症监护医学 内科学 药理学 生物信息学 病理 神经科学 生物 生物技术
作者
Josephine A. Taverna,Chia‐Nung Hung,Madison Williams,Ryan A. Williams,Meizhen Chen,Samaneh Kamali,Vaishnavi Sambandam,Cheryl Hsiang-Ling Chiu,Paweł A. Osmulski,Maria Gaczyńska,Daniel T. DeArmond,Christine Gaspard,Maria Mancini,Meena Kusi,Abhishek Pandya,Lina Song,Lingtao Jin,Paolo Schiavini,Chun‐Liang Chen
出处
期刊:Lung Cancer [Elsevier BV]
卷期号:190: 107533-107533 被引量:18
标识
DOI:10.1016/j.lungcan.2024.107533
摘要

Abstract

Lung cancer is the leading cause of global cancer-related mortality resulting in ∼ 1.8 million deaths annually. Systemic, molecular targeted, and immune therapies have provided significant improvements of survival outcomes for patients. However, drug resistance usually arises and there is an urgent need for novel therapy screening and personalized medicine. 3D patient-derived organoid (PDO) models have emerged as a more effective and efficient alternative for ex vivo drug screening than 2D cell culture and patient-derived xenograft (PDX) models. In this review, we performed an extensive search of lung cancer PDO-based ex vivo drug screening studies. Lung cancer PDOs were successfully established from fresh or bio-banked sections and/or biopsies, pleural effusions and PDX mouse models. PDOs were subject to ex vivo drug screening with chemotherapy, targeted therapy and/or immunotherapy. PDOs consistently recapitulated the genomic alterations and drug sensitivity of primary tumors. Although sample sizes of the previous studies were limited and some technical challenges remain, PDOs showed great promise in the screening of novel therapy drugs. With the technical advances of high throughput, tumor-on-chip, and combined microenvironment, the drug screening process using PDOs will enhance precision care of lung cancer patients.
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
舒服的婷冉完成签到 ,获得积分10
刚刚
星星完成签到,获得积分20
12秒前
JamesPei应助阿宝溜溜球采纳,获得10
18秒前
星星发布了新的文献求助10
19秒前
33秒前
淡然的山水完成签到,获得积分10
37秒前
41秒前
47秒前
武玉坤完成签到,获得积分10
50秒前
spongxin完成签到,获得积分10
55秒前
小马甲应助何土旦采纳,获得10
1分钟前
1分钟前
NexusExplorer应助yuyuyu采纳,获得10
1分钟前
谦让寒云发布了新的文献求助10
1分钟前
1分钟前
kiki完成签到,获得积分10
1分钟前
1分钟前
meow完成签到 ,获得积分10
1分钟前
庾芯发布了新的文献求助10
1分钟前
Lucas应助xl采纳,获得10
1分钟前
lbw完成签到 ,获得积分10
1分钟前
yuyuyu完成签到,获得积分10
1分钟前
1分钟前
yuyuyu发布了新的文献求助10
1分钟前
科研通AI6.3应助谦让寒云采纳,获得10
1分钟前
烟花应助庾芯采纳,获得30
1分钟前
杰克拧花卷完成签到,获得积分10
1分钟前
阿宝溜溜球完成签到,获得积分10
1分钟前
斯文败类应助科研通管家采纳,获得10
1分钟前
CodeCraft应助科研通管家采纳,获得10
1分钟前
bkagyin应助科研通管家采纳,获得50
1分钟前
stubborn_cat完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
xl发布了新的文献求助10
1分钟前
ruanyousong完成签到,获得积分10
1分钟前
orixero应助得意黑采纳,获得10
1分钟前
儒雅的城完成签到,获得积分10
1分钟前
1分钟前
短短急个球完成签到,获得积分10
2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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Rehabilitation of Long-Standing Groin Pain in Athletes: A Scoping Review of Exercise Content and Reporting 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6570770
求助须知:如何正确求助?哪些是违规求助? 8349541
关于积分的说明 17887151
捐赠科研通 5700053
什么是DOI,文献DOI怎么找? 2944888
邀请新用户注册赠送积分活动 1920745
关于科研通互助平台的介绍 1798328