Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database.

Combined small cell lung cancer (CSCLC) nomogram prognosis propensity-score matching (PSM) the Surveillance Epidemiology and End Results (SEER)

Journal

Translational lung cancer research
ISSN: 2218-6751
Titre abrégé: Transl Lung Cancer Res
Pays: China
ID NLM: 101646875

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 26 08 2021
accepted: 03 11 2021
entrez: 10 1 2022
pubmed: 11 1 2022
medline: 11 1 2022
Statut: ppublish

Résumé

Combined small-cell lung cancer (CSCLC) refers to the simultaneous presence of small cell lung cancer (SCLC) and any subtype of the non-small cell lung cancer (NSCLC). This study aimed to explore the prognosis of CSCLC, NSCLC, and pure SCLC patients, and to develop a nomogram to estimate the overall survival (OS) for CSCLC patients. Patients diagnosed with NSCLC, CSCLC, and pure SCLC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results (SEER) database. Survival analyses were performed by using the Kaplan Meier curves and Cox proportional hazards regression. All CSCLC patients were randomly split 7:3 into training and validation sets. A nomogram was developed by integrating all independent predictors for OS. The performance of the nomogram was determined by discrimination, calibration ability, clinical usefulness, and risk stratification ability. A total of 326,695 lung cancer patients, including 871 with CSCLC, 280,391 with NSCLC, and 45,433 with pure SCLC were enrolled. CSCLC was associated with worse survival compared with NSCLC both in the unmatched and matched cohorts. However, compared to pure SCLC, CSCLC was associated with significantly better survival in the unmatched cohorts only, while showed marginally non-significantly better survival after propensity score matching (PSM). For CSCLC, a nomogram was constructed for the 6-month, 1-year, and 3-year OS prediction by combining the independent risk factors, including age, gender, tumor, node, and metastasis stage, surgery, and chemotherapy. The nomogram showed good discrimination and calibration both in the training and validation sets, and better performance than the tumor-node-metastasis staging system. Risk stratification analysis indicated that the nomogram scores efficiently divided CSCLC patients into low-, intermediate-, and high-risk groups (P CSCLC patients presented a significantly worse prognosis than patients with NSCLC, but comparable prognosis when compared with pure SCLC patients in the matched cohorts. In addition, we developed and validated a nomogram for predicting the 6-month, 1-year, and 3-year OS in CSCLC patients.

Sections du résumé

BACKGROUND BACKGROUND
Combined small-cell lung cancer (CSCLC) refers to the simultaneous presence of small cell lung cancer (SCLC) and any subtype of the non-small cell lung cancer (NSCLC). This study aimed to explore the prognosis of CSCLC, NSCLC, and pure SCLC patients, and to develop a nomogram to estimate the overall survival (OS) for CSCLC patients.
METHODS METHODS
Patients diagnosed with NSCLC, CSCLC, and pure SCLC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results (SEER) database. Survival analyses were performed by using the Kaplan Meier curves and Cox proportional hazards regression. All CSCLC patients were randomly split 7:3 into training and validation sets. A nomogram was developed by integrating all independent predictors for OS. The performance of the nomogram was determined by discrimination, calibration ability, clinical usefulness, and risk stratification ability.
RESULTS RESULTS
A total of 326,695 lung cancer patients, including 871 with CSCLC, 280,391 with NSCLC, and 45,433 with pure SCLC were enrolled. CSCLC was associated with worse survival compared with NSCLC both in the unmatched and matched cohorts. However, compared to pure SCLC, CSCLC was associated with significantly better survival in the unmatched cohorts only, while showed marginally non-significantly better survival after propensity score matching (PSM). For CSCLC, a nomogram was constructed for the 6-month, 1-year, and 3-year OS prediction by combining the independent risk factors, including age, gender, tumor, node, and metastasis stage, surgery, and chemotherapy. The nomogram showed good discrimination and calibration both in the training and validation sets, and better performance than the tumor-node-metastasis staging system. Risk stratification analysis indicated that the nomogram scores efficiently divided CSCLC patients into low-, intermediate-, and high-risk groups (P
CONCLUSIONS CONCLUSIONS
CSCLC patients presented a significantly worse prognosis than patients with NSCLC, but comparable prognosis when compared with pure SCLC patients in the matched cohorts. In addition, we developed and validated a nomogram for predicting the 6-month, 1-year, and 3-year OS in CSCLC patients.

Identifiants

pubmed: 35004254
doi: 10.21037/tlcr-21-804
pii: tlcr-10-11-4250
pmc: PMC8674603
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4250-4265

Informations de copyright

2021 Translational Lung Cancer Research. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/tlcr-21-804). The authors have no conflicts of interest to declare.

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Auteurs

Lan Yang (L)

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Yuwen Zhou (Y)

Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.

Gang Wang (G)

Department of Respiratory and Critical Care Medicine, Clinical Research Centre for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.

Dan Liu (D)

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Bojiang Chen (B)

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Dan Pu (D)

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Pierpaolo Correale (P)

Medical Oncology Unit, Grand Metropolitan Hospital "Bianchi-Melacrino-Morelli", Reggio Calabria, Italy.

Dirk Rades (D)

Department of Radiation Oncology, University of Lübeck, Lübeck, Germany.

Yusuke Tomita (Y)

Department of Respiratory Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

Alessandro Inno (A)

Medical Oncology, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar di Valpolicella (VR), Italy.

Mariacarmela Santarpia (M)

Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina, Italy.

Yalun Li (Y)

Department of Respiratory and Critical Care Medicine, Lung Cancer Treatment Center, West China Hospital, Sichuan University, Chengdu, China.

Weimin Li (W)

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.

Classifications MeSH