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]
日期:2024-03-14
卷期号:190: 107533-107533
被引量:5
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI