A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB

Background: In this study, we aim to establish a nomogram to predict the prognosis of non-small cell lung cancer (NSCLC) patients with stage I-IIIB disease after pneumonectomy.Methods: Patients selected from the Surveillance, Epidemiology, and End Results (SEER, N = 2,373) database were divided into...

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Main Authors: Lei-Lei Wu, Wu-Tao Chen, Xuan Liu, Wen-Mei Jiang, Yang-Yu Huang, Peng Lin, Hao Long, Lan-Jun Zhang, Guo-Wei Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Surgery
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2021.604880/full
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spelling doaj-05a6ec37ee7648d29ee11af8b142776a2021-04-29T16:21:05ZengFrontiers Media S.A.Frontiers in Surgery2296-875X2021-04-01810.3389/fsurg.2021.604880604880A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIBLei-Lei Wu0Lei-Lei Wu1Wu-Tao Chen2Xuan Liu3Wen-Mei Jiang4Yang-Yu Huang5Peng Lin6Hao Long7Lan-Jun Zhang8Guo-Wei Ma9Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, ChinaBackground: In this study, we aim to establish a nomogram to predict the prognosis of non-small cell lung cancer (NSCLC) patients with stage I-IIIB disease after pneumonectomy.Methods: Patients selected from the Surveillance, Epidemiology, and End Results (SEER, N = 2,373) database were divided into two cohorts, namely a training cohort (SEER-T, N = 1,196) and an internal validation cohort (SEER-V, N = 1,177). Two cohorts were dichotomized into low- and high-risk subgroups by the optimal risk prognostic score (PS). The model was validated by indices of concordance (C-index) and calibration plots. Kaplan-Meier analysis and the log-rank tests were used to compare survival curves between the groups. The primary observational endpoint was cancer-specific survival (CSS).Results: The nomogram comprised six factors as independent prognostic indictors; it significantly distinguished between low- and high-risk groups (all P < 0.05). The unadjusted 5-year CSS rates of high-risk and low-risk groups were 33 and 60% (SEER-T), 34 and 55% (SEER-V), respectively; the C-index of this nomogram in predicting CSS was higher than that in the 8th TNM staging system (SEER-T, 0.629 vs. 0.584, P < 0.001; SEER-V, 0.609 vs. 0.576, P < 0.001). In addition, the PS might be a significant negative indictor on CSS of patients with white patients [unadjusted hazard ration (HR) 1.008, P < 0.001], black patients (unadjusted HR 1.007, P < 0.001), and Asian or Pacific Islander (unadjusted HR 1.008, P = 0.008). In cases with squamous cell carcinoma (unadjusted HR 1.008, P < 0.001) or adenocarcinoma (unadjusted HR 1.008, P < 0.001), PS also might be a significant risk factor.Conclusions: For post-pneumonectomy NSCLC patients, the nomogram may predict their survival with acceptable accuracy and further distinguish high-risk patients from low-risk patients.https://www.frontiersin.org/articles/10.3389/fsurg.2021.604880/fullpneumonectomynon-small cell lung cancernomogramcancer-specific survivalstage I-IIIB
collection DOAJ
language English
format Article
sources DOAJ
author Lei-Lei Wu
Lei-Lei Wu
Wu-Tao Chen
Xuan Liu
Wen-Mei Jiang
Yang-Yu Huang
Peng Lin
Hao Long
Lan-Jun Zhang
Guo-Wei Ma
spellingShingle Lei-Lei Wu
Lei-Lei Wu
Wu-Tao Chen
Xuan Liu
Wen-Mei Jiang
Yang-Yu Huang
Peng Lin
Hao Long
Lan-Jun Zhang
Guo-Wei Ma
A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB
Frontiers in Surgery
pneumonectomy
non-small cell lung cancer
nomogram
cancer-specific survival
stage I-IIIB
author_facet Lei-Lei Wu
Lei-Lei Wu
Wu-Tao Chen
Xuan Liu
Wen-Mei Jiang
Yang-Yu Huang
Peng Lin
Hao Long
Lan-Jun Zhang
Guo-Wei Ma
author_sort Lei-Lei Wu
title A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB
title_short A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB
title_full A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB
title_fullStr A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB
title_full_unstemmed A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB
title_sort nomogram to predict long-term survival outcomes of patients who undergo pneumonectomy for non-small cell lung cancer with stage i-iiib
publisher Frontiers Media S.A.
series Frontiers in Surgery
issn 2296-875X
publishDate 2021-04-01
description Background: In this study, we aim to establish a nomogram to predict the prognosis of non-small cell lung cancer (NSCLC) patients with stage I-IIIB disease after pneumonectomy.Methods: Patients selected from the Surveillance, Epidemiology, and End Results (SEER, N = 2,373) database were divided into two cohorts, namely a training cohort (SEER-T, N = 1,196) and an internal validation cohort (SEER-V, N = 1,177). Two cohorts were dichotomized into low- and high-risk subgroups by the optimal risk prognostic score (PS). The model was validated by indices of concordance (C-index) and calibration plots. Kaplan-Meier analysis and the log-rank tests were used to compare survival curves between the groups. The primary observational endpoint was cancer-specific survival (CSS).Results: The nomogram comprised six factors as independent prognostic indictors; it significantly distinguished between low- and high-risk groups (all P < 0.05). The unadjusted 5-year CSS rates of high-risk and low-risk groups were 33 and 60% (SEER-T), 34 and 55% (SEER-V), respectively; the C-index of this nomogram in predicting CSS was higher than that in the 8th TNM staging system (SEER-T, 0.629 vs. 0.584, P < 0.001; SEER-V, 0.609 vs. 0.576, P < 0.001). In addition, the PS might be a significant negative indictor on CSS of patients with white patients [unadjusted hazard ration (HR) 1.008, P < 0.001], black patients (unadjusted HR 1.007, P < 0.001), and Asian or Pacific Islander (unadjusted HR 1.008, P = 0.008). In cases with squamous cell carcinoma (unadjusted HR 1.008, P < 0.001) or adenocarcinoma (unadjusted HR 1.008, P < 0.001), PS also might be a significant risk factor.Conclusions: For post-pneumonectomy NSCLC patients, the nomogram may predict their survival with acceptable accuracy and further distinguish high-risk patients from low-risk patients.
topic pneumonectomy
non-small cell lung cancer
nomogram
cancer-specific survival
stage I-IIIB
url https://www.frontiersin.org/articles/10.3389/fsurg.2021.604880/full
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