Identification of the Prognostic Factors for Synchronous Multiple Primary Lung Cancer Treated With Staged Bilateral Surgery.


Journal

The clinical respiratory journal
ISSN: 1752-699X
Titre abrégé: Clin Respir J
Pays: England
ID NLM: 101315570

Informations de publication

Date de publication:
Oct 2024
Historique:
revised: 05 05 2024
received: 17 12 2023
accepted: 12 09 2024
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 13 10 2024
Statut: ppublish

Résumé

Staged bilateral surgery is widely used to treat synchronous multiple primary lung cancer (SMPLC); however, the prognostic factors for survival outcomes remain unclear. This study aimed to identify prognostic factors and construct a predictive model for overall survival (OS) and recurrence-free survival (RFS) in patients with SMPLC who underwent staged bilateral surgery. The study included 256 patients diagnosed with SMPLC and treated with staged bilateral surgery at our hospital between January 2010 and July 2017. Multivariate Cox proportional-hazard regression was used to identify prognostic factors for OS and RFS. Additionally, a predictive model was constructed using time-dependent receiver operating characteristic curves. Among the 256 patients, 10 (3.95%) succumbed to the disease and 24 (9.41%) experienced recurrence. Smoking (hazard ratio [HR]: 5.128; 95% confidence interval [CI]: 1.442-18.233; p = 0.012) and most advanced pathological TNM (pTNM) stage (II + III) (HR: 12.938; 95% CI: 2.650-63.176; p = 0.002) were identified as significant predictors of poor OS. A prognostic model was developed for predicting OS, with a 5-year area under the curve (AUC) of 0.854. Furthermore, most advanced pTNM stage (II + III) was associated with poor RFS (HR: 5.964; 95% CI: 2.669-13.327; p < 0.001), and the predictive model exhibited a 5-year AUC of 0.718 for RFS. This study revealed that smoking and most advanced pTNM stage were independent prognostic factors associated with poor OS in patients with bilateral SMPLC. Moreover, most advanced pTNM stage was also linked to unfavorable RFS. The developed predictive model demonstrated moderate prognostic performance for both OS and RFS.

Identifiants

pubmed: 39396926
doi: 10.1111/crj.70017
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e70017

Subventions

Organisme : National Natural Science Foundation of China
ID : NSFC82473293
Organisme : National Natural Science Foundation of China
ID : NSFC82002427
Organisme : National Natural Science Foundation of China
ID : NSFC30801132
Organisme : Shanghai Science and Technology Innovation Action Plan 2023 "Basic Research Project"
ID : 23JC1404202
Organisme : Shanghai Chest Hospital Outstanding Talent Cultivation Project
ID : 2018YNZYB03
Organisme : Interdisciplinary Program of Medical Engineering Cross Fund
ID : YG2019QNA49

Informations de copyright

© 2024 The Author(s). The Clinical Respiratory Journal published by John Wiley & Sons Ltd.

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Auteurs

Hui Zhang (H)

Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Qiang Liu (Q)

Department of Oncology, Dongying People's Hospital, Dongying, Shandong, China.

Lian Chen (L)

Rehabilitation Department, Shanghai Fifth Rehabilitation Hospital, Shanghai, China.

Liwei Song (L)

Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Feng Mao (F)

Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Wenyong Zhou (W)

Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Jiantao Li (J)

Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Zuodong Song (Z)

Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Wang Miao (W)

Department of Thoracic Surgery, The Third people's Hospital of Zhengzhou, Zhengzhou, China.

Yang Shentu (Y)

Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

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