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The clinical prognostic factors of patients with stage IB lung adenocarcinoma

BACKGROUND: Lung adenocarcinoma (ADC) at stage IB has its own prognostic characteristics. This study aimed to investigate the clinical factors that may affect the prognosis of patients with stage IB ADC. METHODS: The data of ADC cases were selected from the Surveillance, Epidemiology, and End Result...

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Detalles Bibliográficos
Autores principales: Sui, Qihai, Liang, Jiaqi, Hu, Zhengyang, Xu, Xinming, Chen, Zhencong, Huang, Yiwei, Zhao, Mengnan, Zhan, Cheng, Wang, Lin, Lin, Zongwu, Wang, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799094/
https://www.ncbi.nlm.nih.gov/pubmed/35116327
http://dx.doi.org/10.21037/tcr-21-1174
Descripción
Sumario:BACKGROUND: Lung adenocarcinoma (ADC) at stage IB has its own prognostic characteristics. This study aimed to investigate the clinical factors that may affect the prognosis of patients with stage IB ADC. METHODS: The data of ADC cases were selected from the Surveillance, Epidemiology, and End Results (SEER) database (2010–2016) and patients in Zhongshan Hospital, Fudan University (Department of Thoracic Surgery, 2015–2016). Kaplan-Meier method was used to obtain the overall survival (OS). Factors that significantly related to the prognosis were evaluated by univariate and multivariate analysis (UVA, MVA) using the Cox model. A nomogram was developed and validated to predict the 3-year OSs of those patients. RESULTS: 7,605 patients with stage IB ADC were included ultimately and were divided into two groups, a training cohort (n=5,324) and a test cohort (n=2,281). Besides, there was a validation cohort (n=272) for the verification of the nomogram model. Those with significantly older age, male, the white race, lower grades of tumor differentiation, larger tumor size (31–40 mm) without pleural layer (PL) invasion as well as receiving sublobectomy suffered from poorer survival (P<0.001), which were identified as independent factors for stage IB ADC (P<0.001), and according to which, a nomogram model was created. CONCLUSIONS: Age, sex, race, histological grade, surgery to the primary site, and tumor size combined with PL invasion were independent risk factors for stage IB ADC, based on which a nomogram was constructed to predict the prognosis.