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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Cruz-Garcia, Lourdes Badie, Christophe Anbalagan, Selvakumar Moquet, Jayne Gothard, Lone O’Brien, Grainne Somaiah, Navita Ainsbury, Elizabeth A. |
| Abstract | Background This communication reports the identification of a new panel of transcriptional changes in inflammation-associated genes observed in response to ionising radiation received by radiotherapy patients. Methods Peripheral blood samples were taken with ethical approval and informed consent from a total of 20 patients undergoing external beam radiotherapy for breast, lung, gastrointestinal or genitourinary tumours. Nanostring nCounter analysis of transcriptional changes was carried out in samples prior and 24 h post-delivery of the 1st radiotherapy fraction, just prior to the 5th or 6th fraction, and just before the last fraction. Results Statistical analysis with BRB-ArrayTools, GLM MANOVA and nSolver, revealed a radiation responsive panel of genes which varied by patient group (type of cancer) and with time since exposure (as an analogue for dose received), which may be useful as a biomarker of radiation response. Conclusion Further validation in a wider group of patients is ongoing, together with work towards a full understanding of patient specific responses in support of personalised approaches to radiation medicine. |
| Related Links | https://ro-journal.biomedcentral.com/counter/pdf/10.1186/s13014-021-01807-4.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s13014-021-01807-4 |
| Journal | Radiation Oncology |
| Issue Number | 1 |
| Volume Number | 16 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2021-05-03 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Oncology Radiotherapy Imaging Radiology Ionising radiation Blood Gene expression Transcription NCounter RT-qPCR Inflammation Cancer |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Oncology |
| Journal Impact Factor | 3.3/2023 |
| 5-Year Journal Impact Factor | 3.6/2023 |
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