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

Aberle, M. R., Burkhart, R. A., Tiriac, H., Olde Damink, S. W. M., Dejong, C. H. C., Tuveson, D. A., van Dam, R. M. (January 2018) Patient-derived organoid models help define personalized management of gastrointestinal cancer. Br J Surg, 105 (2). e48-e60. ISSN 0007-1323

URL: https://www.ncbi.nlm.nih.gov/pubmed/29341164
DOI: 10.1002/bjs.10726

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.

Item Type: Paper
Subjects: diseases & disorders > cancer
therapies
diseases & disorders > cancer > cancer types > gastrointestinal stromal tumors
CSHL Authors:
Communities: CSHL labs > Tuveson lab
CSHL Cancer Center Program > Signal Transduction
Depositing User: Matt Covey
Date: January 2018
Date Deposited: 25 Jan 2018 22:02
Last Modified: 13 Jun 2018 15:45
PMCID: PMC5774241
Related URLs:
URI: http://repository.cshl.edu/id/eprint/35986

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