2019
DOI: 10.1016/j.ijrobp.2018.08.030
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Genomic Classifier for Guiding Treatment of Intermediate-Risk Prostate Cancers to Dose-Escalated Image Guided Radiation Therapy Without Hormone Therapy

Abstract: We demonstrated the accuracy of the GC for predicting disease recurrence in IR-PCa treated with DE-IGRT 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.

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Cited by 39 publications
(18 citation statements)
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“…As the concept of personalized therapy becomes increasingly popular, paNents' geneNc variaNons and transcriptomic and proteomic tumour data are becoming more readily available, providing increased opportuniNes for novel target discovery (279) and the use of genomic techniques to guide radiaNon decisions (240). Several radiotherapy sensiNvity-associated gene signatures have been reported for prostate cancer (241,242), although further clinical validaNon, along with benefit from clinical uNlity, is awaited. Nevertheless, it is an exciNng possibility that pre-treatment analysis of paNent samples might enable accurate predicNon of radiotherapy response, thereby contribuNng to decision-making regarding selecNon of radiotherapy versus alternaNve treatments such as surgery.…”
Section: [H2}radiotherapy Sensinvity Gene Signaturesmentioning
confidence: 99%
“…As the concept of personalized therapy becomes increasingly popular, paNents' geneNc variaNons and transcriptomic and proteomic tumour data are becoming more readily available, providing increased opportuniNes for novel target discovery (279) and the use of genomic techniques to guide radiaNon decisions (240). Several radiotherapy sensiNvity-associated gene signatures have been reported for prostate cancer (241,242), although further clinical validaNon, along with benefit from clinical uNlity, is awaited. Nevertheless, it is an exciNng possibility that pre-treatment analysis of paNent samples might enable accurate predicNon of radiotherapy response, thereby contribuNng to decision-making regarding selecNon of radiotherapy versus alternaNve treatments such as surgery.…”
Section: [H2}radiotherapy Sensinvity Gene Signaturesmentioning
confidence: 99%
“…Moreover, Cindices were improved as compared to the NCCN and CAPRA-risk classification systems. In 2019, Berlin et al demonstrated that among men with favorable-IR and unfavorable-IR prostate cancer treated with EBRT alone, the clinical-genomic risk classification better predicted distant metastasis than NCCN risk groups alone, suggesting this approach may better identify IR patients who would benefit from the addition of ADT to EBRT (13). Ultimately, further investigations will be useful to evaluate the incorporation of genomic classifiers into management decisions.…”
Section: Discussionmentioning
confidence: 99%
“…Due to low event rates and the lack of follow-up data in GRID, oncologic endpoints such as biochemical recurrence, metastasis, and mortality were not evaluated, but these endpoints must be the focus of future studies in the F-IR group. It should be noted that Decipher has already been extensively validated to predict these distal endpoints in higher risk cohorts [31,32]. In the meantime, AP does continue to drive clinical decision-making, particularly for men with lower clinical risk at diagnosis, and is still the focus of ongoing biomarker studies.…”
Section: Discussionmentioning
confidence: 99%