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A large-scale study integrating CEA and tumor deposits to evaluate prognosis in colon cancer patients.

1/5 보강
Frontiers in oncology 📖 저널 OA 100% 2021: 15/15 OA 2022: 98/98 OA 2023: 60/60 OA 2024: 189/189 OA 2025: 1004/1004 OA 2026: 620/620 OA 2021~2026 2025 Vol.15() p. 1626538
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
029 patients with locally advanced colon cancer who underwent radical resection.
I · Intervention 중재 / 시술
radical resection
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Kaplan-Meier and risk curve analyses confirmed the model's discriminative capacity. [CONCLUSIONS] The CEA-TD-based nomogram offers accurate, clinically applicable risk stratification for LOCC patients, supporting personalized treatment strategies and improved prognostic assessment.

Fan Y, Sun Y, Hu X, Zhang L, Dong J, Liu F

📝 환자 설명용 한 줄

[BACKGROUND] Reliable prediction of long-term survival in colon cancer remains limited by staging system constraints.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P < 0.01
  • p-value P < 0.001

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↓ .bib ↓ .ris
APA Fan Y, Sun Y, et al. (2025). A large-scale study integrating CEA and tumor deposits to evaluate prognosis in colon cancer patients.. Frontiers in oncology, 15, 1626538. https://doi.org/10.3389/fonc.2025.1626538
MLA Fan Y, et al.. "A large-scale study integrating CEA and tumor deposits to evaluate prognosis in colon cancer patients.." Frontiers in oncology, vol. 15, 2025, pp. 1626538.
PMID 41479785 ↗

Abstract

[BACKGROUND] Reliable prediction of long-term survival in colon cancer remains limited by staging system constraints. CEA and tumor deposits (TD) are known prognostic markers, but their combined predictive value is underexplored.

[MATERIALS AND METHODS] We retrospectively analyzed 1, 029 patients with locally advanced colon cancer who underwent radical resection. A CEA-TD scoring system was developed and integrated with key clinicopathologic variables to construct a prognostic nomogram.

[RESULTS] Both TD(+) and elevated CEA levels were independently associated with significantly worse overall survival (HR for TD = 1.985, CEA = 2.209; all P < 0.01). The CEA-TD score effectively stratified patients into four risk categories, each with distinct survival outcomes (P < 0.001). The final nomogram, incorporating CEA-TD score, T stage, N stage, grade, and tumor location, demonstrated high predictive performance, with AUCs of 0.796, 0.834, and 0.807 for 1-, 3-, and 5-year OS in the training cohort, and comparable values in internal and external validations. The C-index reached 0.800, outperforming traditional prognostic factors. Kaplan-Meier and risk curve analyses confirmed the model's discriminative capacity.

[CONCLUSIONS] The CEA-TD-based nomogram offers accurate, clinically applicable risk stratification for LOCC patients, supporting personalized treatment strategies and improved prognostic assessment.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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