A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study

作者：Scott, Jacob G.; Berglund, Anders; Schell, Michael J.; Mihaylov, Ivaylo; Fulp, William J.; Yue, Binglin; Welsh, Eric; Caudell, Jimmy J.; Ahmed, Kamran; Strom, Tobin S.; Mellon, Eric; Venkat, Puja; Johnstone, Peter; Foekens, John; Lee, Jae; Moros, Eduardo; Dalton, William S.; Eschrich, Steven A.; McLeod, Howard; Harrison, Louis B.; Torres-Roca, Javier F.^*

来源：Lancet Oncology, 2017, 18(2): 202-211.

DOI：10.1016/S1470-2045(16)30648-9

• EARLY BREAST-CANCER
• RADIOSENSITIVITY INDEX PREDICTS
• TUMOR RADIOSENSITIVITY
• PERSONALIZED MEDICINE
• HUMAN-PAPILLOMAVIRUS
• CONSERVING SURGERY
• MOLECULAR ASSAY
• RADIATION
• SURVIVAL
• CHEMOTHERAPY

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 diff erences between or within tumours. We aimed to assess whether a patient-specifi c 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 eff ect 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 fi ve clinical cohorts: Erasmus Breast Cancer Cohort (n=263); Karolinska Breast Cancer Cohort (n=77); Moffi tt Lung Cancer Cohort (n=60); Moffi tt 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.

• 出版日期2017-2