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Genomic Classifier for Guiding Treatment of Intermediate-Risk Prostate Cancers to Dose-Escalated Image Guided Radiation Therapy Without Hormone Therapy
- Source :
- Berlin, A, Murgic, J, Hosni, A, Pintilie, M, Salcedo, A, Fraser, M, Kamel-Reid, S, Zhang, J, Wang, Q, Ch'ng, C, Deheshi, S, Davicioni, E, van der Kwast, T, Boutros, P C, Bristow, R G & Chua, M L K 2018, ' Genomic classifier for guiding treatment of intermediate-risk prostate cancers to dose-escalated image-guided radiotherapy without hormone therapy ', International journal of radiation oncology, biology, physics . https://doi.org/10.1016/j.ijrobp.2018.08.030
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Purpose The National Comprehensive Cancer Network (NCCN) has recently endorsed the stratification of intermediate-risk prostate cancer (IR-PCa) into favorable and unfavorable subgroups and recommend the addition of androgen deprivation therapy (ADT) to radiation therapy (RT) for unfavorable IR-PCa. Recently, more accurate prognostication was demonstrated by integrating a 22-feature genomic classifier (GC) to the NCCN stratification system. Here, we test the utility of the GC to better identify patients with IR-PCa who are sufficiently treated by RT alone. Methods and Materials We identified a novel cohort comprising 121 patients with IR-PCa treated with dose-escalated image guided RT (78 Gy in 39 fractions) without ADT. GC scores were derived from tumors sampled in diagnostic biopsies. Multivariable analyses, including both NCCN subclassification and GC scores, were performed for biochemical failure (prostate-specific antigen nadir + 2 ng/mL) and metastasis occurrence. Results By NCCN subclassification, 33 (27.3%) and 87 (71.9%) of men were classified as having favorable and unfavorable IR-PCa, respectively (1 case unclassifiable). GC scores were high in 3 favorable IR-PCa and low in 60 unfavorable IR-PCa. Higher GC scores, but not NCCN risk subgroups, were associated with biochemical relapse (hazard ratio, 1.36; 95% confidence interval [CI], 1.09-1.71] per 10% increase; P = .007) and metastasis (hazard ratio, 2.05; 95% CI, 1.24-4.24; P = .004). GC predicted biochemical failure at 5 years (area under the curve, 0.78; 95% CI, 0.59-0.91), and the combinatorial NCCN + GC model significantly outperformed the NCCN alone model for predicting early-onset metastasis (area under the curve for 5-year metastasis of 0.89 vs 0.86 [GC alone] vs 0.54 [NCCN alone]). Conclusions We demonstrated the accuracy of the GC for predicting disease recurrence in IR-PCa treated with dose-escalated image guided RT alone. Our findings highlight the need to evaluate this GC in a prospective clinical trial investigating the role of ADT-RT in clinicogenomic-defined IR-PCa subgroups.
- Subjects :
- Male
Oncology
Cancer Research
medicine.medical_specialty
medicine.medical_treatment
030218 nuclear medicine & medical imaging
Metastasis
Androgen deprivation therapy
03 medical and health sciences
Prostate cancer
0302 clinical medicine
Prostate
Internal medicine
medicine
Humans
Radiology, Nuclear Medicine and imaging
Neoplasm Metastasis
Aged
Radiation
Manchester Cancer Research Centre
business.industry
ResearchInstitutes_Networks_Beacons/mcrc
Hazard ratio
Area under the curve
Prostatic Neoplasms
Radiotherapy Dosage
Genomics
medicine.disease
Radiation therapy
medicine.anatomical_structure
030220 oncology & carcinogenesis
Hormone therapy
business
Radiotherapy, Image-Guided
Subjects
Details
- ISSN :
- 03603016
- Volume :
- 103
- Database :
- OpenAIRE
- Journal :
- International Journal of Radiation Oncology*Biology*Physics
- Accession number :
- edsair.doi.dedup.....3f3238a7e6a7c8acc8dd33fefa0e6b91
- Full Text :
- https://doi.org/10.1016/j.ijrobp.2018.08.030