Abstract：【Objective】 To explore the prognostic factors of patients with lung cancer after radical resection. 【Methods】A total of 160 patients who underwent radical resection of lung cancer in our hospital from June 2019 to June 2021 were selected and followed up for 30 months. According to the prognosis, they were divided into poor prognosis group (death or metastasis at other sites during follow-up, n=55) and good prognosis group (no death or metastasis at other sites during follow-up, n=105). The clinical baseline data such as preoperative albumin (ALB), red blood cell volume distribution width (RDW) and the levels of serum proliferating cell nuclear antigen (PCNA), excision repair cross complementary gene 1 (ERCC1) and cytokeratin 19 fragment antigen 21-1 (CYFRA21-1) were collected and compared between the two groups. Multivariate logistic regression was used to analyze the risk factors of prognosis of patients with lung cancer after radical resection.The predictive efficacy of serum PCNA, ERCC1 and CYFRA21-1 combined with clinical characteristics on poor prognosis of patients with lung cancer after radical resection was analyzed by receiver operating characteristic (ROC) curve.【Results】 The age≥60 years, TNM stage Ⅲ ～ Ⅳ, preoperative ALB＜35 g/L, preoperative RDW＞12.95%, preoperative PCNA and CYFRA21-1 levels in the poor prognosis group were significantly higher than those in the good prognosis group (P<0.05), and the preoperative ERCC1 levels were significantly lower than those in the good prognosis group (P<0.05). Age≥60 years, TNM stage Ⅲ～Ⅳ, preoperative ALB<35 g/L, preoperative RDW > 12.95%, preoperative PCNA≥396.20 pg/mL, ERCC1 ≤74.85 ng/mL, CYFRA21-1≥9.00 ng/mL were independent risk factors for poor prognosis of patients with lung cancer after radical resection (P<0.05). Serum PCNA, ERCC1, CYFRA21-1 combined with age, TNM stage, ALB and RDW have certain predictive value for poor prognosis of patients with lung cancer after radical resection. The area under the ROC curve is 0.945, the predictive sensitivity is 0.909, and the specificity is 0.981. 【Conclusion】 The prognosis of patients with lung cancer after radical resection is affected by many factors, including age, TNM stage, ALB, RDW, PCNA, ERCC1 and CYFRA21-1. Among them, serum PCNA, ERCC1 and CYFRA21-1 can be used as reliable biomarkers to predict the prognosis of patients with lung cancer after radical resection, and their combination with the above other indicators can improve the prediction efficiency.
高娜, 常静. 肺癌根治术后患者预后的影响因素分析[J]. 医学临床研究, 2022, 39(8): 1190-1193.
GAO Na, CHANG Jing. Analysis of Prognostic Factors of Patients with Lung Cancer after Radical Resection. JOURNAL OF CLINICAL RESEARCH, 2022, 39(8): 1190-1193.
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2022, Vol. 39 
