Prediction of DNA damage and G2 chromosomal radio-sensitivity ex vivo in peripheral blood mononuclear cells with label-free Raman micro-spectroscopy.


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 2019
Historique:
pubmed: 13 3 2018
medline: 27 6 2019
entrez: 13 3 2018
Statut: ppublish

Résumé

Liquid biopsies are a potentially rich store of biochemical information that can be linked to an individual's response to therapeutic treatments, including radiotherapy, and which may ultimately play a role in the individualization of treatment regimens. Peripheral blood mononuclear cells (PBMCs) can be used not only for the biochemical profiling of the individual, but also, being living cells, can provide insights into the individuals response to ionizing radiation exposure. The present study attempts to link the biochemical profile of lymphocytes within PBMCs obtained through Raman spectroscopy to in vitro measures of low-dose (<0.5Gy) DNA damage response and cytogenetic metrics of radiosensitivity in a cohort of healthy controls and prostate cancer patients (from CTRIAL-IE(ICORG) 08-17, NCT00951535). All parallel metrics to the Raman spectra of the cells were obtained ex vivo in cycling peripheral blood lymphocytes, with radiosensitivity estimated using the G2 chromosomal assay and DNA damage assessed using γH2AX fluorescence. Spectra from a total of 26 healthy volunteers and 22 prostate cancer patients were obtained. The links between both measures of cellular response to ionizing radiation and the Raman spectra were modeled using partial least squares regression (PLSR) and support-vector regression (SVR). It was found that neither regression approach could predict radiation-induced G2 score well, but could predict γH2AX MFI with the SVR outperforming PLSR, implying a non-linear relationship between spectral measurements and measures of DNA damage. Raman spectroscopy of PBMCs represents a label-free approach for prediction of DNA damage levels for either prospective or retrospective analysis.

Identifiants

pubmed: 29528761
doi: 10.1080/09553002.2018.1451006
doi:

Banques de données

ClinicalTrials.gov
['NCT00951535']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

44-53

Auteurs

Aidan D Meade (AD)

a School of Physics , Dublin Institute of Technology , Dublin , Ireland.
b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.

Adrian Maguire (A)

a School of Physics , Dublin Institute of Technology , Dublin , Ireland.
b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.

Jane Bryant (J)

b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.

Daniel Cullen (D)

b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.
c School of Biological Sciences , Dublin Institute of Technology , Dublin , Ireland.

Dinesh Medipally (D)

b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.
c School of Biological Sciences , Dublin Institute of Technology , Dublin , Ireland.

Lisa White (L)

b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.
c School of Biological Sciences , Dublin Institute of Technology , Dublin , Ireland.

Brendan McClean (B)

d Department of Medical Physics , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.

Laura Shields (L)

d Department of Medical Physics , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.

John Armstrong (J)

e Department of Radiation Oncology , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.
f Cancer Trials Ireland , Dublin , Ireland.

Mary Dunne (M)

e Department of Radiation Oncology , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.

Emma Noone (E)

e Department of Radiation Oncology , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.

Shirley Bradshaw (S)

e Department of Radiation Oncology , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.

Marie Finn (M)

e Department of Radiation Oncology , Saint Luke's Radiation Oncology Network, St Luke's Hospital , Dublin , Ireland.

Aoife M Shannon (AM)

f Cancer Trials Ireland , Dublin , Ireland.

Orla Howe (O)

b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.
c School of Biological Sciences , Dublin Institute of Technology , Dublin , Ireland.

Fiona M Lyng (FM)

a School of Physics , Dublin Institute of Technology , Dublin , Ireland.
b DIT Centre for Radiation and Environmental Science , Focas Research Institute, Dublin Institute of Technology , Dublin , Ireland.

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Classifications MeSH