Evidence map›Paper›PMID 36765763›Full record

ReviewCancers2023

The Efficacy of Using Patient-Derived Organoids to Predict Treatment Response in Colorectal Cancer.

Chang Su, Kelly A Olsen, Catherine E Bond, Vicki L J Whitehall

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Review
  2. Organoid technology in cancer research.Molecular biomedicine · 2026
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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

4 authors.

Chang SuConjoint Gastroenterology Laboratory, QIMR Berghofer Medical Research Institute, Herston 4006, Australia.
Kelly A OlsenConjoint Gastroenterology Laboratory, QIMR Berghofer Medical Research Institute, Herston 4006, Australia.ORCID 0000-0002-3512-2492
Catherine E BondConjoint Gastroenterology Laboratory, QIMR Berghofer Medical Research Institute, Herston 4006, Australia.
Vicki L J WhitehallConjoint Gastroenterology Laboratory, QIMR Berghofer Medical Research Institute, Herston 4006, Australia.

Funding

Department of Health and Aged Care, Australian Government GA59729Garry Whyte Sea Angel PAF N/A
6 · The paper itself

Abstract

Colorectal cancer is an important cause of morbidity and mortality worldwide. The current treatment landscape includes chemotherapy, targeted therapy, immunotherapy, radiotherapy, and surgery. A key challenge to improving patient outcomes is the significant inter-patient heterogeneity in treatment response. Tumour organoids derived from the patients' tumours via surgically resected or endoscopically biopsied tissue, have emerged as promising models for personalised medicine. This review synthesises the findings, to date, of studies which have explored the efficacy of ex vivo organoid sensitivity testing for predicting treatment response. Most studies have focused on predicting the response to standard-of-care radiotherapy and chemotherapy options. There is strong evidence to support organoid sensitivity testing of ionising radiation, 5-fluorouracil, and irinotecan, and to a lesser extent, oxaliplatin and TAS-102. Fewer studies have used organoids to identify patients who are likely to benefit from novel treatment options that otherwise remain in clinical trials. This review also summarises recent advancements in organoid culture to include non-epithelial components of the tumour microenvironment, to allow testing of immunotherapy and certain targeted therapy options. Overall, further prospective trials will support the implementation of organoid-based personalised medicine for colorectal cancer patients in the future.

Indexed as

colorectal cancerorganoidspersonalised medicine

Identifiers

PMID36765763
PMCPMC9913532

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Registered trials

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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.