Cargando…

A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer

OBJECTIVE: This study aimed to design a nomogram survival prediction by means of the figures retrieved from the Surveillance, Epidemiology, and End Results (SEER) source bank, and to predict the overall survival (OS) of patients with stage IIA non-small cell lung cancer (NSCLC) after surgery. METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Wei, Teng, Fei, Bu, Shi, Xu, Wei, Cai, Qing-Chun, Jiang, Yue-Quan, Wang, Zhi-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423734/
https://www.ncbi.nlm.nih.gov/pubmed/36046766
http://dx.doi.org/10.2147/RMHP.S373510
_version_ 1784778082701279232
author Wang, Wei
Teng, Fei
Bu, Shi
Xu, Wei
Cai, Qing-Chun
Jiang, Yue-Quan
Wang, Zhi-Qiang
author_facet Wang, Wei
Teng, Fei
Bu, Shi
Xu, Wei
Cai, Qing-Chun
Jiang, Yue-Quan
Wang, Zhi-Qiang
author_sort Wang, Wei
collection PubMed
description OBJECTIVE: This study aimed to design a nomogram survival prediction by means of the figures retrieved from the Surveillance, Epidemiology, and End Results (SEER) source bank, and to predict the overall survival (OS) of patients with stage IIA non-small cell lung cancer (NSCLC) after surgery. METHODS: Data for 4511 patients who had been diagnosed with postoperative stage IIA NSCLC were collected from the SEER databank, while information on 528 patients was acquired from the Chongqing University Cancer Hospital for the external validation cohort. The independent risk factors that affected the prognosis were identified using a multivariate Cox proportional hazards regression model (also used to conduct a nomogram). A survival analysis between the low- and the high-risk groups was performed using the Kaplan–Meier method. Furthermore, a subgroup analysis was conducted of the two groups using the Kaplan–Meier method to determine whether the patients had received adjuvant chemotherapy. RESULTS: The following five variables were integrated into the nomogram: sex (female: HR 1.73, 95% CI 0.64–0.83), age (≥60: HR 1.61, 95% CI 1.39–1.87), differentiation grade (grade II: HR 2.19, 95% CI 1.66–2.88; grade III: HR 2.65, 95% CI 2.00–3.51; grade IV: HR 3.17, 95% CI 1.99–5.03), surgery (lobectomy: HR 0.72, 95% CI 0.59–0.86), and lymph node resection (>12: HR 0.82, 95% CI 0.70–0.96). Furthermore, the patients selected were categorized into high- and low-risk groups. The OS rate was significantly lower in the high-risk group than in the low-risk group (P < 0.001). Finally, adjuvant chemotherapy was highly correlated with OS in the high-risk set (P = 0.035); however, adjuvant chemotherapy was not related to OS in the low-risk set. CONCLUSION: A nomogram was created as a reliable, convenient scheme that could predict OS, and it was determined that the high-risk feature patients identified by the nomogram gained benefits from adjuvant chemotherapy.
format Online
Article
Text
id pubmed-9423734
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-94237342022-08-30 A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer Wang, Wei Teng, Fei Bu, Shi Xu, Wei Cai, Qing-Chun Jiang, Yue-Quan Wang, Zhi-Qiang Risk Manag Healthc Policy Original Research OBJECTIVE: This study aimed to design a nomogram survival prediction by means of the figures retrieved from the Surveillance, Epidemiology, and End Results (SEER) source bank, and to predict the overall survival (OS) of patients with stage IIA non-small cell lung cancer (NSCLC) after surgery. METHODS: Data for 4511 patients who had been diagnosed with postoperative stage IIA NSCLC were collected from the SEER databank, while information on 528 patients was acquired from the Chongqing University Cancer Hospital for the external validation cohort. The independent risk factors that affected the prognosis were identified using a multivariate Cox proportional hazards regression model (also used to conduct a nomogram). A survival analysis between the low- and the high-risk groups was performed using the Kaplan–Meier method. Furthermore, a subgroup analysis was conducted of the two groups using the Kaplan–Meier method to determine whether the patients had received adjuvant chemotherapy. RESULTS: The following five variables were integrated into the nomogram: sex (female: HR 1.73, 95% CI 0.64–0.83), age (≥60: HR 1.61, 95% CI 1.39–1.87), differentiation grade (grade II: HR 2.19, 95% CI 1.66–2.88; grade III: HR 2.65, 95% CI 2.00–3.51; grade IV: HR 3.17, 95% CI 1.99–5.03), surgery (lobectomy: HR 0.72, 95% CI 0.59–0.86), and lymph node resection (>12: HR 0.82, 95% CI 0.70–0.96). Furthermore, the patients selected were categorized into high- and low-risk groups. The OS rate was significantly lower in the high-risk group than in the low-risk group (P < 0.001). Finally, adjuvant chemotherapy was highly correlated with OS in the high-risk set (P = 0.035); however, adjuvant chemotherapy was not related to OS in the low-risk set. CONCLUSION: A nomogram was created as a reliable, convenient scheme that could predict OS, and it was determined that the high-risk feature patients identified by the nomogram gained benefits from adjuvant chemotherapy. Dove 2022-08-25 /pmc/articles/PMC9423734/ /pubmed/36046766 http://dx.doi.org/10.2147/RMHP.S373510 Text en © 2022 Wang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wang, Wei
Teng, Fei
Bu, Shi
Xu, Wei
Cai, Qing-Chun
Jiang, Yue-Quan
Wang, Zhi-Qiang
A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer
title A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer
title_full A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer
title_fullStr A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer
title_full_unstemmed A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer
title_short A Population-Based Study on the Prognostic factors and Efficacy of Adjuvant Chemotherapy in the Postoperative Stage for Patients with Stage IIA Non-Small Cell Lung Cancer
title_sort population-based study on the prognostic factors and efficacy of adjuvant chemotherapy in the postoperative stage for patients with stage iia non-small cell lung cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423734/
https://www.ncbi.nlm.nih.gov/pubmed/36046766
http://dx.doi.org/10.2147/RMHP.S373510
work_keys_str_mv AT wangwei apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT tengfei apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT bushi apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT xuwei apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT caiqingchun apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT jiangyuequan apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT wangzhiqiang apopulationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT wangwei populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT tengfei populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT bushi populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT xuwei populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT caiqingchun populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT jiangyuequan populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer
AT wangzhiqiang populationbasedstudyontheprognosticfactorsandefficacyofadjuvantchemotherapyinthepostoperativestageforpatientswithstageiianonsmallcelllungcancer