Evidence map›Paper›PMID 35853961›Full record

ArticleScientific reports2022

Serum RNA biomarkers for predicting survival in non-human primates following thoracic radiation.

Jared M May, Uma Shankavaram, Michelle A Bylicky, Sunita Chopra, Kevin Scott, Shannon Martello, Karla Thrall, Jim Axtelle, Naresh Menon, C Norman Coleman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

11 authors at 3 institutions in 1 country.

Jared M MayRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Uma ShankavaramRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Michelle A BylickyRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Sunita ChopraRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Kevin ScottRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Shannon MartelloRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Karla ThrallAltasciences Preclinical Seattle LLC, Everett, WA, USA.
Jim AxtelleChromoLogic LLC, Monrovia, CA, USA.
Naresh MenonChromoLogic LLC, Monrovia, CA, USA.
C Norman ColemanRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Molykutty J AryankalayilRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA. aryankalayilm@mail.nih.gov.
National Cancer Institute · USCenter for Cancer Research · USChromoLogic (United States) · US

Funding

Radiation-induced molecular targetsZIABC010670 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI COLEMAN, NORMAN · 2009 to 2024
$17.3M
Intramural NIH HHS ZIA BC 010670NIAID NIH HHS NRC-13028
6 · The paper itself

Abstract

In a mass radiation exposure, the healthcare system may rely on differential expression of miRNA to determine exposure and effectively allocate resources. To this end, miRNome analysis was performed on non-human primate serum after whole thorax photon beam irradiation of 9.8 or 10.7 Gy with dose rate 600 cGy/min. Serum was collected up to 270 days after irradiation and sequenced to determine immediate and delayed effects on miRNA expression. Elastic net based GLM methods were used to develop models that predicted the dose vs. controls at 81% accuracy at Day 15. A three-group model at Day 9 achieved 71% accuracy in determining if an animal would die in less than 90 days, between 90 and 269 days, or survive the length of the study. At Day 21, we achieved 100% accuracy in determining whether an animal would later develop pleural effusion. These results demonstrate the potential ability of miRNAs to determine thorax partial-body irradiation dose and forecast survival or complications early following whole thorax irradiation in large animal models. Future experiments incorporating additional doses and independent animal cohorts are warranted to validate these results. Development of a serum miRNA assay will facilitate the administration of medical countermeasures to increase survival and limit normal tissue damage following a mass exposure.

Indexed as

MicroRNAsRadiation ExposureAnimalsBiomarkersDose-Response Relationship, RadiationMacaca mulattaWhole-Body IrradiationBiomarkersMicroRNAs

Identifiers

PMID35853961
PMCPMC9296457
OpenAlexW4286216545

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.