Evidence map›Paper›PMID 34850547›Full record

ArticleMolecular oncology2022

Patient-derived organoids as a preclinical platform for precision medicine in colorectal cancer.

Young-Won Cho, Dong-Wook Min, Hwang-Phill Kim, Yohan An, Sheehyun Kim, Jeonghwan Youk, Jaeyoung Chun, Jong Pil Im, Sang-Hyun Song, Young Seok Ju and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Young-Won ChoDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.ORCID 0000-0002-1010-6517
Dong-Wook MinDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.
Hwang-Phill KimDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.ORCID 0000-0002-7423-9044
Yohan AnBioMedical Science and Engineering Interdisciplinary Program (BSEIP), Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Sheehyun KimDepartment of Internal Medicine, Seoul National University Hospital, Korea.
Jeonghwan YoukGraduate School of Medical Science & Engineering (GSMSE), Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Jaeyoung ChunDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Korea.
Jong Pil ImDepartment of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Korea.
Sang-Hyun SongCancer Research Institute, Seoul National University, Korea.
Young Seok JuBioMedical Science and Engineering Interdisciplinary Program (BSEIP), Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Sae-Won HanDepartment of Internal Medicine, Seoul National University Hospital, Korea.
Kyu Joo ParkDepartment of Surgery, Seoul National University College of Medicine, Korea.
Tae-You KimDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.
Seoul National University · KRSeoul National University of Science and Technology · KRKorea Advanced Institute of Science and Technology · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-derived organoids are being considered as models that can help guide personalized therapy through in vitro anticancer drug response evaluation. However, attempts to quantify in vitro drug responses in organoids and compare them with responses in matched patients remain inadequate. In this study, we investigated whether drug responses of organoids correlate with clinical responses of matched patients and disease progression of patients. Organoids were established from 54 patients with colorectal cancer who (except for one patient) did not receive any form of therapy before, and tumor organoids were assessed through whole-exome sequencing. For comparisons of in vitro drug responses in matched patients, we developed an 'organoid score' based on the variable anticancer treatment responses observed in organoids. Very interestingly, a higher organoid score was significantly correlated with a lower tumor regression rate after the standard-of-care treatment in matched patients. Additionally, we confirmed that patients with a higher organoid score (≥ 2.5) had poorer progression-free survival compared with those with a lower organoid score (< 2.5). Furthermore, to assess potential drug repurposing using an FDA-approved drug library, ten tumor organoids derived from patients with disease progression were applied to a simulation platform. Taken together, organoids and organoid scores can facilitate the prediction of anticancer therapy efficacy, and they can be used as a simulation model to determine the next therapeutic options through drug screening. Organoids will be an attractive platform to enable the implementation of personalized therapy for colorectal cancer patients.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsDisease ProgressionHumansOrganoidsPrecision MedicineAntineoplastic Agentscolorectal cancerdrug repurposingorganoid scorepatient-derived organoidsprogression prediction

Identifiers

PMID34850547
PMCPMC9208081
OpenAlexW3215141374

What OpenQuestion holds

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LicenceCC BY
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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.