Clinicopathologic Predictors of Outcome and Implications for Adjuvant Therapy in Pathologic Stage II Non-small Cell Lung Cancer.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
115 patients with pathologic stage II NSCLC (27 IIA, 88 IIB) who underwent complete resection at a tertiary hospital in Taiwan (2016-2023).
I · Intervention 중재 / 시술
complete resection at a tertiary hospital in Taiwan (2016-2023)
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] Tumor size, nodal involvement, and histologic subtype are key prognostic determinants in stage II NSCLC. Identifying high-risk patients is crucial to optimize selection for adjuvant immunotherapy or targeted therapy and to ensure clinical and economic benefit.
[BACKGROUND/AIM] Pathologic stage II non-small cell lung cancer (NSCLC) exhibits heterogeneous outcomes despite curative resection.
- HR 3.20
APA
Shen YW, Lee TH, et al. (2026). Clinicopathologic Predictors of Outcome and Implications for Adjuvant Therapy in Pathologic Stage II Non-small Cell Lung Cancer.. Anticancer research, 46(2), 1001-1020. https://doi.org/10.21873/anticanres.18005
MLA
Shen YW, et al.. "Clinicopathologic Predictors of Outcome and Implications for Adjuvant Therapy in Pathologic Stage II Non-small Cell Lung Cancer.." Anticancer research, vol. 46, no. 2, 2026, pp. 1001-1020.
PMID
41617420 ↗
Abstract 한글 요약
[BACKGROUND/AIM] Pathologic stage II non-small cell lung cancer (NSCLC) exhibits heterogeneous outcomes despite curative resection. Although adjuvant EGFR-TKI and immunotherapy have improved survival in resected NSCLC, subgroup analyses from major trials show only modest benefit in stage II disease. Given these limited gains and the variable cost-effectiveness of adjuvant therapy across regions, identifying prognostic factors is essential to guide treatment decisions and support value-based precision care.
[PATIENTS AND METHODS] We retrospectively analyzed 115 patients with pathologic stage II NSCLC (27 IIA, 88 IIB) who underwent complete resection at a tertiary hospital in Taiwan (2016-2023). Clinicopathologic variables-including histologic subtype, spread through air spaces (STAS), and lymphovascular invasion (LVI) - were reviewed. Recurrence-free survival (RFS) and overall survival (OS) were evaluated using Kaplan-Meier and Cox proportional hazards analyses.
[RESULTS] The 5-year RFS and OS rates were 50.9% and 67.9%, respectively. Independent predictors of recurrence included tumor size >4 cm [hazard ratio (HR)=2.88, =0.008], N1 nodal status (HR=3.20, =0.016), and high-risk adenocarcinoma subtype (micropapillary/solid; HR=2.80, =0.014). Adjuvant chemotherapy significantly improved OS (76.4% . 37.2%, =0.002).
[CONCLUSION] Tumor size, nodal involvement, and histologic subtype are key prognostic determinants in stage II NSCLC. Identifying high-risk patients is crucial to optimize selection for adjuvant immunotherapy or targeted therapy and to ensure clinical and economic benefit.
[PATIENTS AND METHODS] We retrospectively analyzed 115 patients with pathologic stage II NSCLC (27 IIA, 88 IIB) who underwent complete resection at a tertiary hospital in Taiwan (2016-2023). Clinicopathologic variables-including histologic subtype, spread through air spaces (STAS), and lymphovascular invasion (LVI) - were reviewed. Recurrence-free survival (RFS) and overall survival (OS) were evaluated using Kaplan-Meier and Cox proportional hazards analyses.
[RESULTS] The 5-year RFS and OS rates were 50.9% and 67.9%, respectively. Independent predictors of recurrence included tumor size >4 cm [hazard ratio (HR)=2.88, =0.008], N1 nodal status (HR=3.20, =0.016), and high-risk adenocarcinoma subtype (micropapillary/solid; HR=2.80, =0.014). Adjuvant chemotherapy significantly improved OS (76.4% . 37.2%, =0.002).
[CONCLUSION] Tumor size, nodal involvement, and histologic subtype are key prognostic determinants in stage II NSCLC. Identifying high-risk patients is crucial to optimize selection for adjuvant immunotherapy or targeted therapy and to ensure clinical and economic benefit.
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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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