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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | e48-e60 |
| Journal | British Journal of Surgery |
| Volume | 105 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jan 1 2018 |
Fingerprint
ASJC Scopus subject areas
- Surgery
Cite this
Patient-derived organoid models help define personalized management of gastrointestinal cancer. / Aberle, M. R.; Burkhart, Richard; Tiriac, H.; Olde Damink, S. W.M.; Dejong, C. H.C.; Tuveson, D. A.; van Dam, R. M.
In: British Journal of Surgery, Vol. 105, No. 2, 01.01.2018, p. e48-e60.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Patient-derived organoid models help define personalized management of gastrointestinal cancer
AU - Aberle, M. R.
AU - Burkhart, Richard
AU - Tiriac, H.
AU - Olde Damink, S. W.M.
AU - Dejong, C. H.C.
AU - Tuveson, D. A.
AU - van Dam, R. M.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85040725673&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040725673&partnerID=8YFLogxK
U2 - 10.1002/bjs.10726
DO - 10.1002/bjs.10726
M3 - Review article
VL - 105
SP - e48-e60
JO - British Journal of Surgery
JF - British Journal of Surgery
SN - 0007-1323
IS - 2
ER -