ArticleRespiratory research2023
Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort.
Article in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- The role of OLMALINC in small cell lung cancer progression and prognosis.Molecular and cellular biochemistry · 2026Article
- Construction and validation of a predictive model for benefits of tunnel-type mediastinal lymph node dissection in lung cancer patients based on the SEER database.BMC medical informatics and decision making · 2026Article
- A nomogram to predict prognosis of small-cell lung cancer patients in stage II based on the ninth edition of the tumor-node-metastasis staging system.Journal of cardiothoracic surgery · 2025Article
- Prognostic significance of the 9th TNM lung cancer staging system in SCLC.Journal of thoracic disease · 2025Article
- Mismatch Repair Status and Lymph Node Ratio in Survival Prediction of Stage II/III Rectal Cancer Patients: A Comprehensive Analysis of a Multi-Center Retrospective Study.Cancer medicine · 2025Article
- Investigations of the distant metastatic non-small cell lung cancer without local lymph node involvement: Real world data from a large database.The clinical respiratory journal · 2023Article
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15 authors.
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Abstract
backgroundThe current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort. MATERIALS AND
methodsWe collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathological N modification categories, new pN#1 (pN0-#ELNs > 3), new pN#2 (pN0-#ELNs ≤ 3 or pN1-2-#LNR ≤ 0.14), and new pN#3 (N1-2-#LNR > 0.14). The Akaike information criterion (AIC), Bayesian Information Criterion, and Concordance index (C-index) were used to compare the prognostic, predictive ability between the current pN classification and the new pN component.
resultsThe new pN classification had a satisfactory effect on survival curves (Log-rank P < 0.001). After adjusting for other confounders, the new pN classification could be an independent prognostic indicator. Besides, the new pN component had a much more accurate predictive ability in the prognostic assessment for SCLC patients of pathological classifications T1-2N0-2M0 compared with the current pN classification in the SEER database (AIC: 4705.544 vs. 4731.775; C-index: 0.654 vs. 0.617, P < 0.001). Those results were validated in the MCDB from China.
conclusionsThe multicenter cohort developed and validated a modified nodal classification for SCLC patients with pathological category T1-2N0-2M0 after surgery. Besides, we propose that an adequate lymph node dissection is essential; surgeons should perform and consider the situation of ELNs and LNR when they evaluate postoperative prognoses of SCLC patients.
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