ArticleScientific reports2021
Whole blood gene expression within days after total-body irradiation predicts long term survival in Gottingen minipigs.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Peripheral Blood Transcriptomic Profile Associated with Cutaneous Radiation Injury in Cancer Patients Undergoing Radiotherapy.International journal of molecular sciences · 2026Article
- Review
- Biomarkers to Predict Lethal Radiation Injury to the Rat Lung.International journal of molecular sciences · 2023Article
- Biomarkers for Biodosimetry and Their Role in Predicting Radiation Injury.Cytogenetic and genome research · 2023Review
- CDX-301 prevents radiation-induced dysregulation of miRNA expression and biogenesis.Molecular therapy. Nucleic acids · 2022Article
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
Gottingen minipigs mirror the physiological radiation response observed in humans and hence make an ideal candidate model for studying radiation biodosimetry for both limited-sized and mass casualty incidents. We examined the whole blood gene expression profiles starting one day after total-body irradiation with increasing doses of gamma-rays. The minipigs were monitored for up to 45 days or time to euthanasia necessitated by radiation effects. We successfully identified dose- and time-agnostic (over a 1-7 day period after radiation), survival-predictive gene expression signatures derived using machine-learning algorithms with high sensitivity and specificity. These survival-predictive signatures fare better than an optimally performing dose-differentiating signature or blood cellular profiles. These findings suggest that prediction of survival is a much more useful parameter for making triage, resource-utilization and treatment decisions in a resource-constrained environment compared to predictions of total dose received. It should hopefully be possible to build such classifiers for humans in the future.
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Registered trials
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