Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer

Jianqing Deng, Zhipeng Ren, Jiaxin Wen, Bo Wang, Xiaobin Hou, Zhiqiang Xue, Xiangyang Chu Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, People’s Republic of China Purpose: This study aimed to establish a nomogram to predict the overall survival (OS) of the general...

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Main Authors: Deng JQ, Ren ZP, Wen JX, Wang B, Hou XB, Xue ZQ, Chu XY
Format: Article
Language:English
Published: Dove Medical Press 2018-11-01
Series:Cancer Management and Research
Subjects:
Online Access:https://www.dovepress.com/construction-of-a-nomogram-predicting-the-overall-survival-of-patients-peer-reviewed-article-CMAR
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author Deng JQ
Ren ZP
Wen JX
Wang B
Hou XB
Xue ZQ
Chu XY
author_facet Deng JQ
Ren ZP
Wen JX
Wang B
Hou XB
Xue ZQ
Chu XY
author_sort Deng JQ
collection DOAJ
description Jianqing Deng, Zhipeng Ren, Jiaxin Wen, Bo Wang, Xiaobin Hou, Zhiqiang Xue, Xiangyang Chu Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, People’s Republic of China Purpose: This study aimed to establish a nomogram to predict the overall survival (OS) of the general non-small-cell lung cancer (NSCLC) patients with distant metastasis. Patients and methods: We investigated Surveillance, Epidemiology, and End Results database for NSCLC patients with distant metastasis diagnosed between 2010 and 2014. Statistically significant prognostic factors were identified using uni- and multivariable Cox regression analyses. A nomogram incorporating these prognostic factors was developed and evaluated by the Harrell’s concordance index (C-index), calibration plots, and risk group stratifications. Results: We finally included 18,209 patients for analysis. These patients were divided into two groups, 14,567 cases for the training cohort and 3,642 for the validation cohort. Marital status, sex, race, age, histology, T stage, N stage, histological differentiation, bone metastasis, brain metastasis, liver metastasis, with M1a disease, surgery of primary cancer, and chemotherapy were identified as the prognostic factors of the OS and integrated to construct the nomogram. The nomogram had a C-index of 0.704 (95% CI: 0.699–0.709) in the training set and 0.699 (95% CI: 0.689–0.709) in the validation set. The calibration curves for 1- and 2-year OS in the training and validation sets showed acceptable agreement between the predicted and observed survival. Also, the nomogram was capable of stratifying patients into different risk groups within the patients who presented with bone, liver, or brain metastasis, as well as in each T, N stage, respectively. Conclusion: A nomogram was established and validated to predict individual prognosis for the general patients with distantly metastatic NSCLC. Global prospective data with the latest TNM classification and more comprehensive prognostic factors are needed to improve this model. Keywords: nomogram, metastatic lung cancer, SEER, prognosis, overall survival, prediction
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spelling doaj.art-52ffec00fb6c4e1aaeed7ab0c36d7d802022-12-21T23:15:36ZengDove Medical PressCancer Management and Research1179-13222018-11-01Volume 106143615642510Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancerDeng JQRen ZPWen JXWang BHou XBXue ZQChu XYJianqing Deng, Zhipeng Ren, Jiaxin Wen, Bo Wang, Xiaobin Hou, Zhiqiang Xue, Xiangyang Chu Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, People’s Republic of China Purpose: This study aimed to establish a nomogram to predict the overall survival (OS) of the general non-small-cell lung cancer (NSCLC) patients with distant metastasis. Patients and methods: We investigated Surveillance, Epidemiology, and End Results database for NSCLC patients with distant metastasis diagnosed between 2010 and 2014. Statistically significant prognostic factors were identified using uni- and multivariable Cox regression analyses. A nomogram incorporating these prognostic factors was developed and evaluated by the Harrell’s concordance index (C-index), calibration plots, and risk group stratifications. Results: We finally included 18,209 patients for analysis. These patients were divided into two groups, 14,567 cases for the training cohort and 3,642 for the validation cohort. Marital status, sex, race, age, histology, T stage, N stage, histological differentiation, bone metastasis, brain metastasis, liver metastasis, with M1a disease, surgery of primary cancer, and chemotherapy were identified as the prognostic factors of the OS and integrated to construct the nomogram. The nomogram had a C-index of 0.704 (95% CI: 0.699–0.709) in the training set and 0.699 (95% CI: 0.689–0.709) in the validation set. The calibration curves for 1- and 2-year OS in the training and validation sets showed acceptable agreement between the predicted and observed survival. Also, the nomogram was capable of stratifying patients into different risk groups within the patients who presented with bone, liver, or brain metastasis, as well as in each T, N stage, respectively. Conclusion: A nomogram was established and validated to predict individual prognosis for the general patients with distantly metastatic NSCLC. Global prospective data with the latest TNM classification and more comprehensive prognostic factors are needed to improve this model. Keywords: nomogram, metastatic lung cancer, SEER, prognosis, overall survival, predictionhttps://www.dovepress.com/construction-of-a-nomogram-predicting-the-overall-survival-of-patients-peer-reviewed-article-CMARNomogrammetastatic lung cancerSEERprognosis
spellingShingle Deng JQ
Ren ZP
Wen JX
Wang B
Hou XB
Xue ZQ
Chu XY
Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer
Cancer Management and Research
Nomogram
metastatic lung cancer
SEER
prognosis
title Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer
title_full Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer
title_fullStr Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer
title_full_unstemmed Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer
title_short Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer
title_sort construction of a nomogram predicting the overall survival of patients with distantly metastatic non small cell lung cancer
topic Nomogram
metastatic lung cancer
SEER
prognosis
url https://www.dovepress.com/construction-of-a-nomogram-predicting-the-overall-survival-of-patients-peer-reviewed-article-CMAR
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