Cancer Research on Prevention and Treatment    2022, Vol. 49 Issue (03) : 197-204     DOI: 10.3971/j.issn.1000-8578.2022.21.0623
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Construction and Validation of A Nomogram Prognostic Model for Patients with Lung Adenocarcinoma
LUO Wenqing1, LI Yuanqi2, YE Fei1, LI Qiangming1, ZHANG Guoqing1, LI Xiangnan1
1. Department of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; 2. Xiangya School of Public Health, Central South University, Changsha 410012, China
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Abstract Objective To construct a nomogram prognostic model for predicting the survival of patients with lung adenocarcinoma based on the large sample data from the SEER database. Methods We retrospectively analyzed the clinical data of patients who were diagnosed with lung adenocarcinoma from 2010 to 2015 in the SEER database. A nomogram model was created based on independent parameters influencing the prognosis of patients with lung adenocarcinoma using Lasso Cox regression analysis. The C-index and calibration curve were utilized to assess the ability to distinguish and calibrate the nomogram. NRI and DCA curves were used to evaluate the prediction ability and net benefit of the nomogram. Results A total of 15 independent risk factors affecting the prognosis of lung adenocarcinoma were identified and integrated into the nomogram model. The C-index of the prediction model was 0.819 in the training cohort and 0.810 in the validation cohort. The predicted specific survival rate of the 1-, 3- and 5-year calibration curves of the training cohort and the validation cohort were consistent with the actual specific survival rate. In comparison to the 7th edition of the AJCC TNM staging system, the NRI and DCA curves demonstrated a considerable boost to the predictive capacity and net benefits achieved by the nomogram model. The risk stratification model constructed with this nomogram model was able to distinguish the patients with different risks well (P<0.0001). Conclusion A nomogram prognostic model is successfully developed and validated, which provides asimple and reliable tool for the survival prediction of the patients with lung adenocarcinoma. Meanwhile, therisk stratification model constructed by the prediction model can conveniently screen patients with different risks, which is important for the individualized treatment of lung adenocarcinoma patients.
Keywords SEER database      Lung adenocarcinoma      Nomogram      Prognostic model     
ZTFLH:  R734.2  
Fund:National Natural Science Foundation of China (No. 32070623); Key Discipline Construction Project of Zhengzhou University (No. XKZDQY202006)
Issue Date: 17 March 2022
 Cite this article:   
LUO Wenqing,LI Yuanqi,YE Fei, et al. Construction and Validation of A Nomogram Prognostic Model for Patients with Lung Adenocarcinoma[J]. Cancer Research on Prevention and Treatment, 2022, 49(03): 197-204.
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http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2022.21.0623
http://www.zlfzyj.com/EN/Y2022/V49/I03/197
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LUO Wenqing
LI Yuanqi
YE Fei
LI Qiangming
ZHANG Guoqing
LI Xiangnan
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