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Prognostic Implications of Very High Decipher Scores in Prostate Cancer: Towards a Refined Genomic Risk Classification.

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European urology oncology 📖 저널 OA 13.1% 2025: 13/112 OA 2026: 7/47 OA 2027: 1/1 OA 2025~2027 2026 Vol.9(1) p. 72-79
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · 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.

Sharma R, Moschovas MC, Bhatt SKR, Saikali S, Ozawa Y, Sandri M, Onol Y, Gamal A, Rogers T, Patel VR

ℹ️ 이 논문은 무료 전문이 아직 없습니다. 코퍼스 전체의 44.0%는 무료 가능 (통계 →) · 🏥 기관 EZproxy로 시도

📝 환자 설명용 한 줄

[BACKGROUND AND OBJECTIVE] The 22-gene Decipher genomic classifier (DGC) is validated for risk stratification in prostate cancer.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p < 0.001
  • p-value p = 0.008

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↓ .bib ↓ .ris
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

[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.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반