Whole blood gene expression within days after total-body irradiation predicts long term survival in Gottingen minipigs.

Autor: Chopra S; National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, 20892, USA., Moroni M; Armed Forces Radiobiological Research Institute, Bethesda, MD, 20889, USA., Sanjak J; Gryphon Scientific, Takoma Park, MD, 20912, USA., MacMillan L; Gryphon Scientific, Takoma Park, MD, 20912, USA., Hritzo B; Armed Forces Radiobiological Research Institute, Bethesda, MD, 20889, USA., Martello S; National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, 20892, USA., Bylicky M; National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, 20892, USA., May J; National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, 20892, USA., Coleman CN; National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, 20892, USA. ccoleman@mail.nih.gov.; Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), Bethesda, MD, 20892, USA. ccoleman@mail.nih.gov., Aryankalayil MJ; National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, 20892, USA. aryankalayilm@mail.nih.gov.; Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), Bethesda, MD, 20892, USA. aryankalayilm@mail.nih.gov.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2021 Aug 05; Vol. 11 (1), pp. 15873. Date of Electronic Publication: 2021 Aug 05.
DOI: 10.1038/s41598-021-95120-5
Abstrakt: 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.
(© 2021. The Author(s).)
Databáze: MEDLINE
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