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Lymph Node Ratio Enhances Predictive Value for Treatment Outcomes in Patients with Non-Small Cell Lung Cancer Undergoing Surgery: A Retrospective Cohort Study.
Wang, Shou-Feng; Mao, Nai-Quan; Huang, Jiang-Qiong; Pan, Xin-Bin.
Afiliação
  • Wang SF; Department of Thoracic surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, P.R. China.
  • Mao NQ; Department of Thoracic surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, P.R. China.
  • Huang JQ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, P.R. China.
  • Pan XB; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, P.R. China.
J Cancer ; 15(2): 466-472, 2024.
Article em En | MEDLINE | ID: mdl-38169525
ABSTRACT

Purpose:

To compare the prognostic value of lymph node ratio (LNR) and pN in patients with non-small cell lung cancer (NSCLC) undergoing surgery. Materials and

methods:

NSCLC patients were investigated between 2004 and 2015 from the Surveillance, Epidemiology, and End Results databases. The X-tile software was used to determine LNR cut-off values. Kaplan-Meier analysis was employed to assess cancer-specific survival (CSS) and overall survival (OS).

Results:

The identified cut-off values of LNR were 0.19 and 0.73. Median CSS for LNR1 (LNR < 0.19), LNR2 (0.19 ≤ LNR ≤ 0.73), and LNR3 (LNR > 0.73) were 71, 41, and 17 months. Both LNR2 (HR = 1.46, 95% CI 1.36-1.57; P < 0.001) and LNR3 (HR = 2.85, 95% CI 2.58-3.15; P < 0.001) demonstrated poorer median CSS compared to LNR1. Similarly, median OS for LNR1, LNR2, and LNR3 were 50, 35, and 16 months. LNR2 (HR = 1.36, 95% CI 1.27-1.45; P < 0.001) and LNR3 (HR = 2.60, 95% CI 2.37-2.85; P < 0.001) exhibited worse median OS compared to LNR1. A revised pN (r-pN) classification incorporating LNR and pN demonstrated superior penalized goodness-of-fit and discriminative ability in predicting CSS and OS compared to both LNR and pN.

Conclusion:

LNR outperformed pN in predicting CSS and OS in NSCLC patients undergoing surgery, potentially leading to more precise adjuvant treatment decisions.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article