Open AccessEstablishment and Validation of Nomogram Model Integrated With Inflammation-Based Factors for the Prognosis of Advanced Non-Small Cell Lung Cancer
Author(s) -
Zhiliang Huang,
Shan Xing,
Yuanying Zhu,
Yuanye Qu,
Lina Jiang,
Jiahe Sheng,
Qian Wang,
Songtao Xu,
Ning Xue
Publication year - 2020
Publication title -
technology in cancer research and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.754
H-Index - 63
eISSN - 1533-0346
pISSN - 1533-0338
DOI - 10.1177/1533033820971605
Subject(s) - nomogram , medicine , oncology , tnm staging system , stage (stratigraphy) , proportional hazards model , lung cancer , cancer , staging system , biology , paleontology
Objects: Inflammation is one of the hallmarks of cancer. Tumor-associated inflammatory response plays a crucial role in enhancing tumorigenesis. This study aimed to establish an effective predictive nomogram based on inflammation factors in patients with advanced non-small cell lung cancer (NSCLC).Methods: We retrospectively evaluated 887 patients with advanced NSCLC between November 2004 and December 2015 and randomly divided them into primary (n = 520) and validation cohorts (n = 367). Cox regression analysis was used to identify prognostic factors for building the nomogram. The predictive accuracy and discriminative ability of the nomogram were determined using a concordance index (C-index), calibration plot, and decision curve analysis and were compared to the TNM staging system.Results: The nomogram was established using independent risk factors ( P < 0.05): age, TNM stage, C reaction protein-to-albumin ratio (CAR), and neutrophils (NEU). The C-index of the model for predicting OS had a superior discrimination power compared to that of the TNM staging system both in the primary [0.711 (95% CI: 0.675-0.747) vs 0.531 (95% CI: 0.488-0.574), P < 0.01] and validation cohorts [0.703, 95% CI: 0.671 -0.735 vs 0.582, 95% CI: 0.545-0.619, P < 0.01]. Decision curves also demonstrated that the nomogram had higher overall net benefits than that of the TNM staging system. Subgroup analyses revealed that the nomogram was a favorable prognostic parameter in advanced NSCLC ( P < 0.05). The results were internally validated using the validation cohorts.Conclusions: The proposed nomogram with inflammatory factors resulted in an accurate prognostic prediction in patients with advanced NSCLC.