Patient-derived organoid models help define personalized management of gastrointestinal cancer

Author:

Aberle M R123,Burkhart R A4,Tiriac H56,Olde Damink S W M123,Dejong C H C1723,Tuveson D A56,van Dam R M123

Affiliation:

1. NUTRIM school of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands

2. Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands

3. European Surgical Centre Aachen Maastricht, Aachen, Germany and Maastricht, The Netherlands

4. Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery, Johns Hopkins Hospital, Baltimore, Maryland, USA

5. Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA

6. Lustgarten Pancreatic Cancer Research Laboratory, Cold Spring Harbor, New York, USA

7. GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands

Abstract

Abstract Background The prognosis of patients with different gastrointestinal cancers varies widely. Despite advances in treatment strategies, such as extensive resections and the addition of new drugs to chemotherapy regimens, conventional treatment strategies have failed to improve survival for many tumours. Although promising, the clinical application of molecularly guided personalized treatment has proven to be challenging. This narrative review focuses on the personalization of cancer therapy using patient-derived three-dimensional ‘organoid’ models. Methods A PubMed search was conducted to identify relevant articles. An overview of the literature and published protocols is presented, and the implications of these models for patients with cancer, surgeons and oncologists are explained. Results Organoid culture methods have been established for healthy and diseased tissues from oesophagus, stomach, intestine, pancreas, bile duct and liver. Because organoids can be generated with high efficiency and speed from fine-needle aspirations, biopsies or resection specimens, they can serve as a personal cancer model. Personalized treatment could become a more standard practice by using these cell cultures for extensive molecular diagnosis and drug screening. Drug sensitivity assays can give a clinically actionable sensitivity profile of a patient's tumour. However, the predictive capability of organoid drug screening has not been evaluated in prospective clinical trials. Conclusion High-throughput drug screening on organoids, combined with next-generation sequencing, proteomic analysis and other state-of-the-art molecular diagnostic methods, can shape cancer treatment to become more effective with fewer side-effects.

Funder

Cold Spring Harbor Cancer Center Support Grant

European Union subsidy programme Interreg as part of the OncoCare project Euregio Maas Rijn

Lustgarten Foundation

Cold Spring Harbor Laboratory Association

National Institutes of Health

V Foundation

Publisher

Oxford University Press (OUP)

Subject

Surgery

Cited by 103 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3