Evidence map›Paper›PMID 42620574›Full record

ArticleiScience2026

Patient-derived organoids support radiotherapy response and recurrence risk prediction in esophageal squamous cancer.

Eunji Jeong, Jong Yun Baek, Sang-Yun Lee, Yongmun Choi, Bosung Ku, Dan Bi Park, Man Ki Chung, Dong Woo Lee, Dongryul Oh

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Eunji JeongCentral R&D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon, Republic of Korea.
Jong Yun BaekDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang-Yun LeeGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, Republic of Korea.
Yongmun ChoiCentral R&D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon, Republic of Korea.
Bosung KuCentral R&D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon, Republic of Korea.
Dan Bi ParkGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, Republic of Korea.
Man Ki ChungDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Dong Woo LeeDepartment of Biomedical Engineering, Gachon University, Seongnam, Republic of Korea.
Dongryul OhDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting individual responses to radiotherapy remains a major challenge in esophageal cancer. This study evaluated an cancer organoid-based diagnosis and reactivity prediction (CODRP) approach to estimate pathological response and recurrence risk after neoadjuvant chemoradiotherapy (NCRT) in esophageal squamous cell carcinoma. Organoids were established from endoscopic biopsy specimens and irradiated with doses of 2, 4, or 8 Gy. Growth inhibition-based area under the curve (GI-AUC) and cell growth rates were quantified and integrated with the clinical cancer stage to generate the CODRP index. Compared with single-parameter models, the CODRP showed improved apparent predictive performance for pathological response prediction in this feasibility cohort (sensitivity, 87.5%; specificity, 100%). Recurrence-free survival was significantly higher in the CODRP-classified radiation-sensitive group (71.43%) than in the radiation-resistant group (10%) (

Indexed as

cancer organoidsesophageal cancerprecision medicineprediction model of radiotherapy

Identifiers

PMID42620574
PMCPMC13486321

What OpenQuestion holds

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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.