Trial reportRadiation research2011
Prediction of in vivo radiation dose status in radiotherapy patients using ex vivo and in vivo gene expression signatures.
Trial report in Radiation research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Candidate gene biodosimetry markers of exposure to external ionizing radiation in human blood: A systematic review.PloS one · 2018Pooled it
- Decoding radiation-induced transcriptomic signatures of human leukocytes using long-read RNA-seq: clinical and biodosimetric implications.BMC genomics · 2026Article
- Intracellular lymphocyte protein biomarkers for early radiological triage in the human population.PloS one · 2025Article
- Ionizing radiation effects on blood-derived extracellular vesicles: insights into miR-34a-5p-mediated cellular responses and biomarker potential.Cell communication and signaling : CCS · 2024Article
- Applicability of Gene Expression in Saliva as an Alternative to Blood for Biodosimetry and Prediction of Radiation-induced Health Effects.Radiation research · 2024Article
- Article
- The DNA damage response to radiological imaging: from ROS and γH2AX foci induction to gene expression responses in vivo.Radiation and environmental biophysics · 2023Article
- Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023Review
- Candidate biomarkers and persistent transcriptional responses after low and high dose ionizing radiation at high dose rate.International journal of radiation biology · 2023Article
- Transcriptional Dynamics of DNA Damage Responsive Genes in Circulating Leukocytes during Radiotherapy.Cancers · 2022Article
- The transcriptomic revolution and radiation biology.International journal of radiation biology · 2022Article
- Gene expression for biodosimetry and effect prediction purposes: promises, pitfalls and future directions - key session ConRad 2021.International journal of radiation biology · 2022Article
- Impact of aging on gene expression response to x-ray irradiation using mouse blood.Scientific reports · 2021Article
- Telomere Length Dynamics and Chromosomal Instability for Predicting Individual Radiosensitivity and Risk via Machine Learning.Journal of personalized medicine · 2021Article
- High-LET Carbon and Iron Ions Elicit a Prolonged and Amplified p53 Signaling and Inflammatory Response Compared to low-LET X-Rays in Human Peripheral Blood Mononuclear Cells.Frontiers in oncology · 2021Article
- Dose and Dose-Rate Effects in a Mouse Model of Internal Exposure from 137Cs. Part 2: Integration of Gamma-H2AX and Gene Expression Biomarkers for Retrospective Radiation Biodosimetry.Radiation research · 2020Article
- Systemic modulation of stress and immune parameters in patients treated for prostate adenocarcinoma by intensity-modulated radiation therapy or stereotactic ablative body radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2020Article
- Development of the FAST-DOSE assay system for high-throughput biodosimetry and radiation triage.Scientific reports · 2020Article
- Radiation Exposure of Peripheral Mononuclear Blood Cells Alters the Composition and Function of Secreted Extracellular Vesicles.International journal of molecular sciences · 2020Article
- Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing.Radiation research · 2020Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
After a large-scale nuclear accident or an attack with an improvised nuclear device, rapid biodosimetry would be needed for triage. As a possible means to address this need, we previously defined a gene expression signature in human peripheral white blood cells irradiated ex vivo that predicts the level of radiation exposure with high accuracy. We now demonstrate this principle in vivo using blood from patients receiving total-body irradiation (TBI). Whole genome microarray analysis has identified genes responding significantly to in vivo radiation exposure in peripheral blood. A 3-nearest neighbor classifier built from the TBI patient data correctly predicted samples as exposed to 0, 1.25 or 3.75 Gy with 94% accuracy (P < 0.001) even when samples from healthy donor controls were included. The same samples were classified with 98% accuracy using a signature previously defined from ex vivo irradiation data. The samples could also be classified as exposed or not exposed with 100% accuracy. The demonstration that ex vivo irradiation is an appropriate model that can provide meaningful prediction of in vivo exposure levels, and that the signatures are robust across diverse disease states and independent sample sets, is an important advance in the application of gene expression for biodosimetry.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.