Evidence map›Paper›PMID 42723218›Full record

ReviewCancer medicine2026

Organoids in Precision Radiotherapy: Methodological Foundations, Tumor-Specific Evidence, and Translational Roadmaps.

Yixian Zhu, Yawei Jiao, Jiao Xue, Xiaoli Lv, Songbing Qin

Abstract readReview
In one paragraph

Review in Cancer medicine, 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

5 authors.

Yixian ZhuDepartment of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0009-0007-3701-371X
Yawei JiaoDepartment of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jiao XueDepartment of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Xiaoli LvDepartment of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Songbing QinDepartment of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

National Natural Science Foundation of China 82073337National Natural Science Foundation of China 82273567Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0525900
6 · The paper itself

Abstract

backgroundRadiotherapy remains a cornerstone of cancer treatment, while its efficacy is often limited by tumor radioresistance and the risk of normal tissue toxicity. Conventional preclinical models, including two-dimensional (2D) cell cultures and murine xenografts, exhibit significant limitations in recapitulating human tumor pathophysiology, thereby impeding the clinical translation of novel radiotherapeutic strategies. Patient-derived organoids (PDOs) have emerged as transformative three-dimensional (3D) ex vivo models that recapitulate key aspects of original tumor heterogeneity and are increasingly applied in oncology research.

methodsThis article provides a comprehensive review of the literature on the application of PDOs in radiation oncology, with a focused analysis of their pathway toward clinical translation.

resultsPDOs demonstrate significant utility in predicting radiosensitivity, elucidating radioresistance mechanisms, optimizing combination therapies, modeling radiation injury, and screening targeted drugs. The integration of organoid technology with microfluidic organ-on-a-chip (OoC) platforms also offers unprecedented capability to dynamically simulate the tumor microenvironment and conduct high-throughput dose-response studies. A translational roadmap is presented for leveraging these biomimetic systems to advance personalized radiotherapy, ultimately aiming to accelerate the clinical translational application of organoids.

conclusionsDespite challenges in standardization and immune component recapitulation, PDOs represent a powerful platform for advancing personalized radiotherapy.

Indexed as

NeoplasmsOrganoidsPrecision MedicineAnimalsHumansRadiation ToleranceTranslational Research, Biomedicalclinical translationpatient‐derived organoidsprecision radiotherapyradioresistance

Identifiers

PMID42723218
PMCPMC13562812

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.