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Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort.
Wu, Lei-Lei; Qiu, Li-Hong; Chen, Xiaolu; Yu, Wan-Jun; Li, Chong-Wu; Qian, Jia-Yi; Liang, Shen-Hua; Lin, Peng; Long, Hao; Zhang, Lan-Jun; Li, Zhi-Xin; Li, Kun; Jiang, Feng; Ma, Guo-Wei; Xie, Dong.
Afiliación
  • Wu LL; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, P. R. China.
  • Qiu LH; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China.
  • Chen X; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China.
  • Yu WJ; Department of Respiratory and Critical Care, The Affiliated People's Hospital of Ningbo University, Ningbo, 315100, P. R. China.
  • Li CW; Department of Respiratory and Critical Care, The Affiliated People's Hospital of Ningbo University, Ningbo, 315100, P. R. China.
  • Qian JY; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, P. R. China.
  • Liang SH; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, P. R. China.
  • Lin P; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China.
  • Long H; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China.
  • Zhang LJ; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China.
  • Li ZX; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China.
  • Li K; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, P. R. China.
  • Jiang F; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, P. R. China.
  • Ma GW; Department of Oncology, Zhongda Hospital, Southeast University, Nanjing, 210009, P. R. China. fengj1217@163.com.
  • Xie D; Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510000, P. R. China. magw@sysucc.org.cn.
Respir Res ; 24(1): 168, 2023 Jun 23.
Article en En | MEDLINE | ID: mdl-37353782
ABSTRACT

BACKGROUND:

The 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

METHODS:

We 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.

RESULTS:

The 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.

CONCLUSIONS:

The 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma Pulmonar de Células Pequeñas / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Respir Res Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma Pulmonar de Células Pequeñas / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Respir Res Año: 2023 Tipo del documento: Article