Prognostic Value of a Nomogram Based on the Dynamic Albumin-to-Alkaline Phosphatase Ratio for Patients with Extensive-Stage Small-Cell Lung Cancer

Abstract

Butuo Li,1 Chao Jiang,2 Ruiqing Wang,3 Bing Zou,1 Peng Xie,1 Wanlong Li,1 Xindong Sun,1 Jinming Yu,1 Linlin Wang1 1Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250017, Shandong Province, People’s Republic of China; 2Department of Otorhinolaryngology, Head and Neck Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province 250021, People’s Republic of China; 3Department of Breast Surgery, Linyi People’s Hospital, Linyi 276000, Shandong Province, People’s Republic of ChinaCorrespondence: Linlin Wang Tel [phone]Fax [phone]Email [email protected]: Small-cell lung cancer (SCLC) is known as the characteristics of high invasion, rapid progression, and poor prognosis. Therefore, identification of patients with high risk of progression and death is critical to improve the survival of patients with extensive-stage SCLC (ES-SCLC). This study was designed to determine the prognostic importance of the albumin-to-alkaline phosphatase ratio (AAPR) in the survival of patients with ES-SCLC and to develop a nomogram based on AAPR dynamics for ES-SCLC prognosis.Patients and Methods: Characteristics were reviewed from 300 patients with ES-SCLC. Training and validation cohorts included 200 and 100 patients, respectively. We applied univariate and multivariate Cox models to assess the prognostic value of AAPR for ES-SCLC. The nomogram for progression-free survival (PFS) and overall survival (OS) of ES-SCLC patients was developed based on the multivariate survival analysis of the training cohort. External validation of the established nomogram was performed using the validation cohort.Results: N3 stage, thoracic radiotherapy, and post-AAPR were the independent factors identified for PFS. T stage, thoracic radiotherapy, and high post-AAPR were the independent risk factors identified for death. The prognostic nomogram was established by integrating the independent significant factors for PFS and OS in the training cohort with the c-indices of 0.675 and 0.662, respectively, and validated in the validation cohort. The nomogram had superior prognosis prediction ability than did TNM stage. Decision curve analysis (DCA) also indicated clinical net benefits from the nomogram.Conclusion: AAPR was valuable for prognosis prediction in patients with ES-SCLC and was recommended to be dynamically evaluated to guide patient treatment. Additionally, the nomogram covering post-AAPR accurately predicted individual survival probability.Keywords: extensive-stage small-cell lung cancer; ES-SCLC, albumin-to-alkaline phosphatase ratio; AAPR, dynamic, nomogram, prognosis prediction

Keywords

• extensive-stage small-cell lung cancer
• albumin-to-alkaline phosphatase ratio
• dynamic
• nomogram
• prognosis prediction