Role of a high throughput biodosimetry test in treatment prioritization after a nuclear incident.


Journal

International journal of radiation biology
ISSN: 1362-3095
Titre abrégé: Int J Radiat Biol
Pays: England
ID NLM: 8809243

Informations de publication

Date de publication:
01 2020
Historique:
pubmed: 7 12 2018
medline: 31 1 2020
entrez: 4 12 2018
Statut: ppublish

Résumé

We introduce and evaluate a high throughput biodosimetry test system (REDI-Dx) suitable for testing of thousands of potential radiation victims following a mass scale nuclear event caused by detonation of a nuclear device or a nuclear accident, as part of an overall strategy for effective medical management of the crisis. The performance of a high throughput biodosimetry test was evaluated by collecting samples of both non-irradiated presumed healthy donors as well as irradiated subjects collected as part of either cancer treatment regimens or banked from previous studies. The test measures the gene expression of a set of radiation responsive genes based on the DxDirect The test demonstrated high specificity and lack of effect of medical conditions. Using receiver operating characteristic (ROC) curve analysis, REDI-Dx was shown to be a good predictor of actual dose for determining treatment category based on either 2.0 or 6.0 Gy, with a 98.5% sensitivity and 90% specificity for 2.0 Gy, and 92% sensitivity and 84% specificity for 6.0 Gy. Results were reproducible between clinical laboratories with an SD of 0.2 Gy for samples ≤2.0 Gy and a CV of 10.3% for samples from 2.0 to 10.0 Gy. Use of a biodosimetry test, like REDI-Dx test system would provide valuable information that would improve the ability to assign patients to the correct treatment category when combined with currently available biodosimetry tools, as compared to the use of existing tools alone. The REDI-Dx biodosimetry test system is for investigational use only in the U.S.A. The performance characteristics of this product have not been established.

Identifiants

pubmed: 30507310
doi: 10.1080/09553002.2018.1532615
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

57-66

Subventions

Organisme : NIH HHS
ID : S10 OD018164
Pays : United States

Auteurs

Aviva R Jacobs (AR)

DxTerity Diagnostics, Los Angeles, CA, USA.

Timothy Guyon (T)

DxTerity Diagnostics, Los Angeles, CA, USA.

Violetta Headley (V)

DxTerity Diagnostics, Los Angeles, CA, USA.

Mahalakshmi Nair (M)

DxTerity Diagnostics, Los Angeles, CA, USA.

William Ricketts (W)

DxTerity Diagnostics, Los Angeles, CA, USA.

Gerry Gray (G)

ClinReg Consulting Services, Inc, Laguna Beach, CA, USA.

Jeffery Y C Wong (JYC)

Department of Radiation Oncology, City of Hope National Medical Center and Beckman Research Institute, Duarte, CA, USA.

Nelson Chao (N)

Department of Hematologic Malignancies & Cell Therapy, Duke University, Durham, NC, USA.

Robert Terbrueggen (R)

DxTerity Diagnostics, Los Angeles, CA, USA.

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Classifications MeSH