Rapid High-Throughput Diagnostic Triage after a Mass Radiation Exposure Event Using Early Gene Expression Changes

Port, Matthias; Ostheim, Patrick; Majewski, Matthäus; Voß, Thorsten; Haupt, Julian; Lamkowski, Andreas; Abend, Michael

doi:10.1667/rr15360.1

Cited by 39 publications

(29 citation statements)

References 20 publications

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“…Since such questions cannot be answered through in vivo studies, we established a model system for the in vitro exposure of whole blood. Significantly, in this model the altered expression of FDXR, DDB2, WNT3, POU2AF1 replicates our observations in irradiated baboons and humans (11). We now report that the changes in marker gene expression in this model indicate that they retain a predictive function over a three-day postirradiation window.…”

Section: Introductionsupporting

confidence: 87%

Identifying a Diagnostic Window for the Use of Gene Expression Profiling to Predict Acute Radiation Syndrome

et al. 2020

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Section: Introductionsupporting

confidence: 87%

Identifying a Diagnostic Window for the Use of Gene Expression Profiling to Predict Acute Radiation Syndrome

et al. 2020

Self Cite

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“…The remaining 98% of the transcriptome is non-coding RNA that was assumed for a long time to be non-functional. However, in recent years, transcriptomic analysis have evolved to include the miRNA (miR) transcriptome studies by microarrays [ 47 , 48 ] or next generation sequencing [ 49 , 50 ] to identify their role in radiation response. miRNAs are small non-coding sequences of 19–21 nucleotides and are important modulators of gene expression in cell cycle control, DNA repair and apoptosis.…”

Section: Discussionmentioning

confidence: 99%

A 4-Gene Signature of CDKN1, FDXR, SESN1 and PCNA Radiation Biomarkers for Prediction of Patient Radiosensitivity

Howe

White

Cullen

et al. 2021

IJMS

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The quest for the discovery and validation of radiosensitivity biomarkers is ongoing and while conventional bioassays are well established as biomarkers, molecular advances have unveiled new emerging biomarkers. Herein, we present the validation of a new 4-gene signature panel of CDKN1, FDXR, SESN1 and PCNA previously reported to be radiation-responsive genes, using the conventional G2 chromosomal radiosensitivity assay. Radiation-induced G2 chromosomal radiosensitivity at 0.05 Gy and 0.5 Gy IR is presented for a healthy control (n = 45) and a prostate cancer (n = 14) donor cohort. For the prostate cancer cohort, data from two sampling time points (baseline and Androgen Deprivation Therapy (ADT)) is provided, and a significant difference (p > 0.001) between 0.05 Gy and 0.5 Gy was evident for all donor cohorts. Selected donor samples from each cohort also exposed to 0.05 Gy and 0.5 Gy IR were analysed for relative gene expression of the 4-gene signature. In the healthy donor cohort, there was a significant difference in gene expression between IR dose for CDKN1, FXDR and SESN1 but not PCNA and no significant difference found between all prostate cancer donors, unless they were classified as radiation-induced G2 chromosomal radiosensitive. Interestingly, ADT had an effect on radiation response for some donors highlighting intra-individual heterogeneity of prostate cancer donors.

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“…8). Individuals exposed to high doses may develop acute radiation syndrome, especially the hematological syndrome requiring hospitalization and specific treatment (24). This theoretical time will be tested and demonstrated in future studies to address the effect of inter-individual variability in response to radiation.…”

Section: Discussionmentioning

confidence: 99%

“…The transcriptomic profiles can provide distinctive gene expression patterns useful for later reconstruction of exposure characteristics. Transcriptomic analyses by microarrays (11, 23) and next-generation sequencing techniques either targeted (24) or specifically for microRNA tran-Editor's note. The online version of this article (DOI: https://doi.…”

Section: Introductionmentioning

confidence: 99%

Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing

et al. 2019

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Rapid High-Throughput Diagnostic Triage after a Mass Radiation Exposure Event Using Early Gene Expression Changes

Cited by 39 publications

References 20 publications

Identifying a Diagnostic Window for the Use of Gene Expression Profiling to Predict Acute Radiation Syndrome

Identifying a Diagnostic Window for the Use of Gene Expression Profiling to Predict Acute Radiation Syndrome

A 4-Gene Signature of CDKN1, FDXR, SESN1 and PCNA Radiation Biomarkers for Prediction of Patient Radiosensitivity

Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing

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