Evidence map›Paper›PMID 29341164›Full record

ReviewThe British journal of surgery2018

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

M R Aberle, R A Burkhart, H Tiriac, S W M Olde Damink, C H C Dejong, D A Tuveson, R M van Dam

Open access · bronzeAbstract readReview
In one paragraph

Review in The British journal of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 3 pooled it
8.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 3 syntheses or guidelines pooled it, 137 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Organoids of liver diseases: From bench to bedside.World journal of gastroenterology · 2019
    Pooled it
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Unveiling radiobiological traits and therapeutic responses of BRAFJournal of experimental & clinical cancer research : CR · 2025
    Article
  10. Article
  11. Article
  12. Drug repurposing for cancer therapy.Signal transduction and targeted therapy · 2024
    Review
  13. Review
  14. Article
  15. Review
  16. Patient-Derived Organoids from Locally Advanced Gastric Adenocarcinomas Can Predict Resistance to Neoadjuvant Chemotherapy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Article
  17. Review
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

M R AberleNUTRIM school of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
R A BurkhartDepartment of Surgery, Division of Hepatobiliary and Pancreatic Surgery, Johns Hopkins Hospital, Baltimore, Maryland.
H TiriacCancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA.
S W M Olde DaminkNUTRIM school of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
C H C DejongNUTRIM school of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
D A TuvesonCancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA.
R M van DamNUTRIM school of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Maastricht University Medical Centre · NLCold Spring Harbor Laboratory · USJohns Hopkins Hospital · USMaastricht University · NL

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Translational Research Enhancement CoreP30DK089502 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI ZACHOS, NICHOLAS CONSTANTINE · 2011 to 2020
$12.0M
UAB / UMN SPORE in Pancreatic CancerP50CA101955 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KLUG, CHRISTOPHER · 2010 to 2014
$11.1M
COMPUTATIONAL AND FUNCTIONAL APPROACHES TO VALIDATING CANCER GENOME TARGETSU01CA168409 · NCI · COLD SPRING HARBOR LABORATORY · PI POWERS, SCOTT · 2012 to 2016
$7.3M
Nrf2 Regulation of Ductal Pancreatic Cancer Etiology and Treatment ResponseR01CA188134 · NCI · COLD SPRING HARBOR LABORATORY · PI TUVESON, DAVID A · 2017 to 2021
$3.0M
(PQA-4) Organoid Omics To Detect And Defeat Ductal Pancreatic CancerR01CA190092 · NCI · COLD SPRING HARBOR LABORATORY · PI TUVESON, DAVID A · 2014 to 2017
$2.2M
Integrated Translational Cancer Science CenterU10CA180944 · NCI · COLD SPRING HARBOR LABORATORY · PI BAKER, LAURENCE HOWARD, LIU, EDISON TAK-BUN · 2014 to 2018
$2.0M
NCI NIH HHS P30 CA045508NCI NIH HHS P50 CA101955NCI NIH HHS R01 CA188134NCI NIH HHS R01 CA190092NCI NIH HHS U01 CA168409NCI NIH HHS U10 CA180944NIDDK NIH HHS P30 DK089502
6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsOrganoid 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.

conclusionHigh-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.

Indexed as

Models, AnatomicOrganoidsCell Culture TechniquesGastrointestinal NeoplasmsHumansPrecision Medicine

Identifiers

PMID29341164
PMCPMC5774241
OpenAlexW2792096803

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.