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Record W4415496276 · doi:10.1016/j.ijrobp.2025.10.006

Clonal Hematopoiesis of Indeterminate Potential After Radiation Therapy

2025· article· en· W4415496276 on OpenAlexaff
Shelby Crants, Sydney Olson, Yajing Li, Cosmin A. Bejan, Caitlyn Vlasschaert, Taralynn Mack, Yash Pershad, Ashwin Kishtagari, Sarah C. Reed, Sarah Croessmann, Dan M. Roden, Travis Osterman, Eric T. Shinohara, Alexander G. Bick, Ben Ho Park, Leo Y. Luo

Bibliographic record

VenueInternational Journal of Radiation Oncology*Biology*Physics · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsQueen's University
FundersVanderbilt Institute for Clinical and Translational ResearchNational Cancer InstituteNational Institutes of HealthPew Charitable TrustsBurroughs Wellcome FundVanderbilt UniversityAmerican Cancer Society
KeywordsIndeterminateRadiation therapyHaematopoiesisCohortRadiation injuryAntibody therapy

Abstract

fetched live from OpenAlex

PURPOSE: Clonal hematopoiesis of indeterminate potential (CHIP) is a condition associated with increased risk of hematologic malignancies and cardiovascular diseases. Although radiation therapy has been identified as a risk factor for CHIP, specific radiation factors that influence the development of CHIP remain unclear. METHODS AND MATERIALS: We identified 489 patients with cancer who underwent radiation therapy (RT) at least 6 months prior to blood samples being deposited in an institutional biorepository. Patients with prior hematologic malignancy diagnosis or cytotoxic chemotherapy exposure were excluded. Targeted DNA sequencing of the blood samples was performed to detect mutations in CHIP-associated genes. CHIP prevalence was compared with a control cohort of 854 cancer patients without exposure to RT or chemotherapy. RT parameters, including dose, technique, and irradiated site, were characterized and examined for association with CHIP prevalence. RESULTS: CHIP was detected in 23% of patients who received RT. The probability of CHIP was increased in patients who received RT compared with the patients who did not (odds ratio, 1.49; 95% confidence interval, 1.08-2.05), after adjusting for age, sex, race, smoking status, and metastatic disease status. The risk of CHIP positively correlated with the biologically equivalent dose (Pearson correlation coefficient, r = 0.64, P < .001). CHIP was associated with the stereotactic technique (OR, 2.56; 95% CI, 1.01-6.34) and was more prevalent in patients with primary lung cancer and patients who received radiation to the spine. We observed 5 cases of subsequent myelodysplastic syndrome and 1 case of subsequent acute myeloid leukemia in the RT cohort with a median interval of 6.3 years between RT and diagnosis, and 1 case of myelodysplastic syndrome in the control cohort, 7.5 years after blood sample collection. CONCLUSIONS: In this cohort study, prior RT was associated with an increased risk of clonal hematopoiesis, particularly among patients receiving higher biologically equivalent radiation doses, stereotactic techniques, or treatment to the spine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.349
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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