Evidence map›Paper›PMID 42840531›Full record

ReviewFrontiers in immunology2026

Immune and inflammatory radiogenomics of radiotherapy-induced normal-tissue toxicity: genetic susceptibility, mechanisms, risk prediction, and clinical translation.

Shuo Zhang, YouTao Wu, Qiong Liu, Huan Yang, Xi Chen, YuZhe Song

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 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

6 authors.

Shuo Zhang *Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
YouTao Wu *Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Qiong LiuDepartment of Cardiology, The First People's Hospital of Neijiang, Sichuan, China.
Huan YangDepartment of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Xi ChenDepartment of Endoscopy Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
YuZhe SongDepartment of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy is indispensable for cancer control, yet acute and late normal-tissue toxicities remain major limits to treatment intensity and survivorship. Considerable interindividual variation persists after clinical and dosimetric factors are considered, motivating radiogenomic studies of inherited susceptibility. This review compares common and rare germline variation, association and sequencing designs, polygenic risk scores, and functional evidence through an immunological framework. Radiation-induced DNA damage and organelle stress release danger-associated signals and cytosolic DNA that engage pattern-recognition pathways, including cGAS-STING, and initiate endothelial and epithelial inflammatory programs. Cytokines, chemokines, inflammasomes, recruited myeloid cells, lymphocytes, senescent cells, and fibroblasts then determine whether injury resolves or progresses to chronic immune dysregulation and fibrosis. Germline variants may modify these responses, but pathway plausibility is not equivalent to variant-specific causality. The strongest evidence combines a replicated clinical association with dose adjustment, regulatory annotation, allele-specific perturbation, and validation in organ-relevant immune-stromal models. Integrated prediction should combine genomic susceptibility with normal-tissue imaging, dose-volume exposure, baseline inflammatory state, comorbidity, and systemic therapy. Germline associations with checkpoint-inhibitor toxicity provide a rationale for studying radio-immunotherapy, although radiation-specific genetic interactions remain unvalidated. No current common variant or polygenic score justifies reducing curative dose or target coverage. Near-term translation is more appropriately directed toward risk-adapted surveillance, supportive care, and genotype-enriched prevention trials. An immune-centered radiogenomic framework can connect inherited susceptibility to damage sensing, inflammatory amplification, resolution failure, and tissue remodeling while preserving the distinction between mechanistic evidence and clinical utility. Graphical summary: inherited susceptibility modifies the sequence from radiation-induced damage sensing and immune activation to resolution, repair, or chronic inflammation and fibrosis.

Indexed as

Genetic Predisposition to DiseaseInflammationNeoplasmsRadiation InjuriesRadiotherapyAnimalsGenetic Risk ScoreGenomicsGerm-Line MutationHumansTranslational Research, Biomedicalcytokinesfibrosisgermline variationimmune microenvironmentinnate immunitynormal tissueradiogenomicsradiotherapy-induced toxicity

Identifiers

PMID42840531
PMCPMC13639961

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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.