A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study
- PMID: 27993569
- PMCID: PMC7771305
- DOI: 10.1016/S1470-2045(16)30648-9
A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study
Erratum in
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Correction to Lancet Oncol 2017; 18: 205, 206, 208, 210.Lancet Oncol. 2017 Feb;18(2):e65. doi: 10.1016/S1470-2045(16)30686-6. Epub 2016 Dec 22. Lancet Oncol. 2017. PMID: 28012978 No abstract available.
Abstract
Background: Despite its common use in cancer treatment, radiotherapy has not yet entered the era of precision medicine, and there have been no approaches to adjust dose based on biological differences between or within tumours. We aimed to assess whether a patient-specific molecular signature of radiation sensitivity could be used to identify the optimum radiotherapy dose.
Methods: We used the gene-expression-based radiation-sensitivity index and the linear quadratic model to derive the genomic-adjusted radiation dose (GARD). A high GARD value predicts for high therapeutic effect for radiotherapy; which we postulate would relate to clinical outcome. Using data from the prospective, observational Total Cancer Care (TCC) protocol, we calculated GARD for primary tumours from 20 disease sites treated using standard radiotherapy doses for each disease type. We also used multivariable Cox modelling to assess whether GARD was independently associated with clinical outcome in five clinical cohorts: Erasmus Breast Cancer Cohort (n=263); Karolinska Breast Cancer Cohort (n=77); Moffitt Lung Cancer Cohort (n=60); Moffitt Pancreas Cancer Cohort (n=40); and The Cancer Genome Atlas Glioblastoma Patient Cohort (n=98).
Findings: We calculated GARD for 8271 tissue samples from the TCC cohort. There was a wide range of GARD values (range 1·66-172·4) across the TCC cohort despite assignment of uniform radiotherapy doses within disease types. Median GARD values were lowest for gliomas and sarcomas and highest for cervical cancer and oropharyngeal head and neck cancer. There was a wide range of GARD values within tumour type groups. GARD independently predicted clinical outcome in breast cancer, lung cancer, glioblastoma, and pancreatic cancer. In the Erasmus Breast Cancer Cohort, 5-year distant-metastasis-free survival was longer in patients with high GARD values than in those with low GARD values (hazard ratio 2·11, 95% 1·13-3·94, p=0·018).
Interpretation: A GARD-based clinical model could allow the individualisation of radiotherapy dose to tumour radiosensitivity and could provide a framework to design genomically-guided clinical trials in radiation oncology.
Funding: None.
Copyright © 2017 Elsevier Ltd. All rights reserved.
Conflict of interest statement
Declaration of interests
JGS and JFT-R are named inventors in a patent pending for systems for providing personalised radiation therapy. SAE and JFT-R are named inventors in patent number 8,660,801, patent number 8,665,598 and patent number 7,879,545 are related to radiosensitivity index. PJ reports receipt of personal fees from Novocure. SAE is a cofounder of Cvergenx and serves on the board and as an officer for the company. He holds stock and stock options in the Cvergenx. HLM serves on the board of directors for Cancer Genetics and on an advisory board for Kew Corporation. JFT-R reports stock in Cvergenx and has a patent issued for radiation sensitivity index with royalties paid to Cvergenx, and a patent pending for GARD.
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Comment in
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Radiation oncology enters the era of individualised medicine.Lancet Oncol. 2017 Feb;18(2):159-160. doi: 10.1016/S1470-2045(16)30660-X. Epub 2016 Dec 18. Lancet Oncol. 2017. PMID: 27993570 No abstract available.
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Genomic-adjusted radiation dose.Lancet Oncol. 2017 Mar;18(3):e127. doi: 10.1016/S1470-2045(17)30092-X. Epub 2017 Mar 2. Lancet Oncol. 2017. PMID: 28271860 No abstract available.
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Genomic-adjusted radiation dose.Lancet Oncol. 2017 Mar;18(3):e128. doi: 10.1016/S1470-2045(17)30090-6. Epub 2017 Mar 2. Lancet Oncol. 2017. PMID: 28271861 No abstract available.
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Genomic-adjusted radiation dose - Authors' reply.Lancet Oncol. 2017 Mar;18(3):e129. doi: 10.1016/S1470-2045(17)30119-5. Epub 2017 Mar 2. Lancet Oncol. 2017. PMID: 28271862 No abstract available.
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Genomic biomarkers for precision radiation medicine.Lancet Oncol. 2017 May;18(5):e238. doi: 10.1016/S1470-2045(17)30263-2. Lancet Oncol. 2017. PMID: 28495284 No abstract available.
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Genomic biomarkers for precision radiation medicine - Authors' reply.Lancet Oncol. 2017 May;18(5):e239. doi: 10.1016/S1470-2045(17)30264-4. Lancet Oncol. 2017. PMID: 28495285 No abstract available.
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Genomics Reloaded: Rise of the Expression Profiles.Int J Radiat Oncol Biol Phys. 2018 May 1;101(1):1-3. doi: 10.1016/j.ijrobp.2017.10.023. Int J Radiat Oncol Biol Phys. 2018. PMID: 29619961 Free PMC article. No abstract available.
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Genome-based modeling for adjusting radiotherapy dose (GARD)-a significant step toward the future of personalized radiation therapy.Transl Cancer Res. 2017 Mar;6(Suppl 2):S418-S420. doi: 10.21037/tcr.2017.03.05. Transl Cancer Res. 2017. PMID: 30881870 Free PMC article. No abstract available.
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Radiotherapy with genomic-adjusted radiation dose - Authors' reply.Lancet Oncol. 2021 Nov;22(11):e470-e471. doi: 10.1016/S1470-2045(21)00601-X. Lancet Oncol. 2021. PMID: 34735812 No abstract available.
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