DENG Yueyang, LIAO Zhixiao, ZHU Jinli, ZHOU Jingxu, DONG Shuo, JIA Yingjie. Establishment of a Nomogram for prognosis of liver metastasis in patients with non-small cell lung cancer[J]. Journal of Clinical Medicine in Practice, 2023, 27(7): 18-24. DOI: 10.7619/jcmp.20223574
Citation: DENG Yueyang, LIAO Zhixiao, ZHU Jinli, ZHOU Jingxu, DONG Shuo, JIA Yingjie. Establishment of a Nomogram for prognosis of liver metastasis in patients with non-small cell lung cancer[J]. Journal of Clinical Medicine in Practice, 2023, 27(7): 18-24. DOI: 10.7619/jcmp.20223574

Establishment of a Nomogram for prognosis of liver metastasis in patients with non-small cell lung cancer

  • Objective  To analyze the clinical characteristics and prognostic factors of non-small cell lung cancer (NSCLC) patients with liver metastasis, and to construct a prognostic nomogram.
    Methods  A total of 79 977 NSCLC patients with complete clinical information were collected from the Surveillance, Epidemiology, and End Results (SEER) database, and were divided into liver metastasis group and non-liver metastasis group. The liver metastasis group was randomly divided into training set and verification set. Chi square test was used to compare the clinical characteristics of liver metastasis group. The independent prognostic factors were screened by Cox regression analysis and used to construct nomograms for predicting 1- and 3-year overall survival (OS) and cancer-specific survival (CSS).
    Results  Gender, age, primary site, histological classification, pathological grade, tumor size, T stage, N stage, distant metastasis, surgery, chemotherapy, radiotherapy were related to liver metastasis (P < 0.01). Multivariate analysis found that gender, age, tumor size, histological type, pathological grade, primary site surgery, chemotherapy, bone metastasis, and brain metastasis were independent risk factor associated with OS and CSS (P < 0.05). Receiver operating characteristic (ROC) curve and calibration curve showed that the nomogram had good predictive performance. Risk stratification among patients was carried out based on the established nomograms, and the low-risk group had a better prognosis than the high-risk group.
    Conclusion  The nomograms constructed in this study can more accurately predict the prognosis of NSCLC patients with liver metastasis.
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