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Genomic Classifier for Guiding Treatment of Intermediate-Risk Prostate Cancers to Dose-Escalated Image Guided Radiation Therapy Without Hormone Therapy

Authors :
Carolyn Ch'ng
Samineh Deheshi
Alejandro Berlin
Theodorus van der Kwast
Melania Pintilie
Suzanne Kamel-Reid
Elai Davicioni
Jure Murgic
Jingbin Zhang
Adriana Salcedo
Qiqi Wang
Robert G. Bristow
Melvin L.K. Chua
Michael Fraser
Paul C. Boutros
Ali Hosni
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.

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