A nomogram from the SEER database for predicting the prognosis of patients with non-small cell lung cancer

Bingjie Zeng; Ping Ji; Chen Chen; Junjun Sun; Chenzheng Gu; Anquan Shang; Junlu Wu; Zujun Sun; Dong Li

doi:10.1016/j.biocel.2020.105825

A nomogram from the SEER database for predicting the prognosis of patients with non-small cell lung cancer

Int J Biochem Cell Biol. 2020 Oct:127:105825. doi: 10.1016/j.biocel.2020.105825. Epub 2020 Sep 6.

Authors

Bingjie Zeng¹, Ping Ji¹, Chen Chen¹, Junjun Sun¹, Chenzheng Gu¹, Anquan Shang¹, Junlu Wu¹, Zujun Sun², Dong Li³

Affiliations

¹ Department of Clinical Laboratory, Shanghai Tongji Hospital, Tongji University School of Medicine, No. 389, Xincun Road, Shanghai, 200065, China.
² Department of Clinical Laboratory, Shanghai Tongji Hospital, Tongji University School of Medicine, No. 389, Xincun Road, Shanghai, 200065, China. Electronic address: sunzujun@tongji.edu.cn.
³ Department of Clinical Laboratory, Shanghai Tongji Hospital, Tongji University School of Medicine, No. 389, Xincun Road, Shanghai, 200065, China. Electronic address: lidong@tongji.edu.cn.

PMID: 32898690
DOI: 10.1016/j.biocel.2020.105825

Abstract

Objective: The purpose of this study was to establish and validate a nomogram to predict the prognosis in patients with non-small cell lung cancer (NSCLC) from multiple perspectives.

Results: A total of 98,640 eligible patients were randomly divided into a training set (n = 69,048) and a validation set (n = 29,592). The baseline characteristics of the two sets were similar. We used clinical data from patients in the training set for univariate and multivariate Cox regression analyses. Twelve independent risk factors were incorporated for constructed a prognostic nomogram. And the nomogram with a concordance index of 0.777 (95 % CI, 0.775 to 0.779) for overall survival. The calibration curve results showed that the actual survival rate was consistent with the predicted survival rate. The area under curve of the receiver operating characteristic curves demonstrated that the nomogram has a high prediction of the overall survival rate in patients with NSCLC.

Conclusion: We have developed a nomogram with high prediction accuracy and discrimination ability, which can help clinicians making personalized survival predictions for NSCLC patients.

Keywords: Area under curve; NSCLC; Nomogram; Overall survival; SEER.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Age Factors
Aged
Aged, 80 and over
Carcinoma, Non-Small-Cell Lung / diagnosis
Carcinoma, Non-Small-Cell Lung / epidemiology
Carcinoma, Non-Small-Cell Lung / pathology*
Carcinoma, Non-Small-Cell Lung / therapy
Databases, Factual
Female
Humans
Lung Neoplasms / diagnosis
Lung Neoplasms / epidemiology
Lung Neoplasms / pathology*
Lung Neoplasms / therapy
Male
Middle Aged
Nomograms*
Prognosis
ROC Curve
Risk Factors
SEER Program
Sex Factors
Survival Rate
United States / epidemiology