Prognostic Implications of Very High Decipher Scores in Prostate Cancer: Towards a Refined Genomic Risk Classification.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
1673 patients who underwent RP (2015 and 2022).
I · Intervention 중재 / 시술
RP (2015 and 2022)
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION AND CLINICAL IMPLICATIONS] A DGC score >0.85 delineates a distinct subgroup with markedly adverse oncologic outcomes. Recognition of this VHR category refines postoperative assessment and supports personalized adjuvant or salvage therapy.
ℹ️ 이 논문은 무료 전문이 아직 없습니다. 코퍼스 전체의 44.0%는 무료 가능 (통계 →) · 🏥 기관 EZproxy로 시도
[BACKGROUND AND OBJECTIVE] The 22-gene Decipher genomic classifier (DGC) is validated for risk stratification in prostate cancer.
- p-value p < 0.001
- p-value p = 0.008
APA
Sharma R, Moschovas MC, et al. (2026). Prognostic Implications of Very High Decipher Scores in Prostate Cancer: Towards a Refined Genomic Risk Classification.. European urology oncology, 9(1), 72-79. https://doi.org/10.1016/j.euo.2025.09.009
MLA
Sharma R, et al.. "Prognostic Implications of Very High Decipher Scores in Prostate Cancer: Towards a Refined Genomic Risk Classification.." European urology oncology, vol. 9, no. 1, 2026, pp. 72-79.
PMID
41068038 ↗
Abstract 한글 요약
[BACKGROUND AND OBJECTIVE] The 22-gene Decipher genomic classifier (DGC) is validated for risk stratification in prostate cancer. Our aim was to evaluate the association of a novel very high-risk (VHR) group (DGC score >0.85) with recurrence outcomes after radical prostatectomy (RP) and to assess the impact of integrating DGC scores with Cancer of the Prostate Risk Assessment Postsurgical (CAPRA-S) scores and European Association of Urology (EAU) biochemical recurrence (BCR) risk groups on prognostication.
[METHODS] We retrospectively analyzed data for 1673 patients who underwent RP (2015 and 2022). DGC scores were categorized as low risk (<0.45), intermediate (0.45-0.60), high (0.61-0.85), or VHR (>0.85). BCR was analyzed using the Kaplan-Meier method and log-rank tests. DGC scores were combined with CAPRA-S scores, and separately with EAU BCR risk groups to assess associations with BCR. Associations between DGC scores and adverse pathological features were also evaluated.
[KEY FINDINGS AND LIMITATIONS] Among the 1673 men who underwent RP, the incidence of adverse pathological features (International Society of Urological Pathology grade group ≥4, pT3b/T4, or pN1) increased with increasing DGC score (p < 0.001). DGC VHR was an independent predictor of BCR (hazard ratio 1.70, 95% confidence interval 1.26-2.52; p = 0.008). DGC scores further refined risk stratification within the EAU BCR and CAPRA-S risk groups. Decision curve analysis showed that combining DGC scores with CAPRA-S scores or EAU risk groups yielded a greater net benefit in comparison to using each model alone across the risk threshold range from 0.18 to 0.50. The retrospective, single-institution nature of the study highlights the need for external validation.
[CONCLUSION AND CLINICAL IMPLICATIONS] A DGC score >0.85 delineates a distinct subgroup with markedly adverse oncologic outcomes. Recognition of this VHR category refines postoperative assessment and supports personalized adjuvant or salvage therapy.
[METHODS] We retrospectively analyzed data for 1673 patients who underwent RP (2015 and 2022). DGC scores were categorized as low risk (<0.45), intermediate (0.45-0.60), high (0.61-0.85), or VHR (>0.85). BCR was analyzed using the Kaplan-Meier method and log-rank tests. DGC scores were combined with CAPRA-S scores, and separately with EAU BCR risk groups to assess associations with BCR. Associations between DGC scores and adverse pathological features were also evaluated.
[KEY FINDINGS AND LIMITATIONS] Among the 1673 men who underwent RP, the incidence of adverse pathological features (International Society of Urological Pathology grade group ≥4, pT3b/T4, or pN1) increased with increasing DGC score (p < 0.001). DGC VHR was an independent predictor of BCR (hazard ratio 1.70, 95% confidence interval 1.26-2.52; p = 0.008). DGC scores further refined risk stratification within the EAU BCR and CAPRA-S risk groups. Decision curve analysis showed that combining DGC scores with CAPRA-S scores or EAU risk groups yielded a greater net benefit in comparison to using each model alone across the risk threshold range from 0.18 to 0.50. The retrospective, single-institution nature of the study highlights the need for external validation.
[CONCLUSION AND CLINICAL IMPLICATIONS] A DGC score >0.85 delineates a distinct subgroup with markedly adverse oncologic outcomes. Recognition of this VHR category refines postoperative assessment and supports personalized adjuvant or salvage therapy.
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