Nomogram for Predicting Efficacy and Prognosis After Chemotherapy for Advanced NSCLC

作者：Jiaying Gao, Yandong Nan, Gang Liu, Shihong Zhao, Huanqing Xiong, Yifeng Wang, Faguang Jin · 发表于：The Clinical Respiratory Journal · 年份：2024 · DOI：10.1111/crj.13815 · 被引用次数：3 · 研究领域：Inflammatory Biomarkers in Disease Prognosis、Lung Cancer Research Studies、Ferroptosis and cancer prognosis

PURPOSE: One major issue is the therapeutic effect following chemotherapy for non-small cell lung cancer (NSCLC). Although numerous risk factors have been identified and novel therapies have been developed, improving patient overall survival (OS) remains a crucial postoperative issue. This study aimed to develop a nomogram for accurately predicting the OS of patients with Stage III-IV NSCLC treated with chemotherapy. METHODS: The Department of Respiration at Tangdu Hospital, Air Force Medical University, prospectively collected data on 321 patients between January 2018 and December 2023. A week before treatment, the platelet-to-lymphocyte ratio (PLR), the neutrophil-to-lymphocyte ratio (NLR), and seven autoantibodies were measured using Youden's index, which was obtained using the ROC curve. The formula was used to compute the values of PLR and NLR. After using multifactor Cox regression analysis to identify risk factors, a nomogram was produced regarding the therapeutic effect following chemotherapy. The performance of the nomogram was assessed using a bootstrapped-concordance index and calibration plots. RESULT: It was determined that NLR, sex-determining region Y-box 2 (SOX2), adenosine triphosphate binding RNA deconjugase 4-5 (GBU4-5), and MAGE family member A1 (MAGEA1) were significantly associated factors that could be combined to accurately predict the therapeutic effect following chemotherapy. Utilizing these risk indicators, we were able to develop a nomogram that pr...