C-reactive protein to albumin ratio predict responses to programmed cell death-1 inhibitors in hepatocellular carcinoma patients

被引:4
作者
Li, Bai-Bei [1 ,2 ,3 ]
Chen, Lei-Jie [4 ]
Lu, Shi-Liu [1 ,2 ,3 ]
Lei, Biao [1 ,2 ,3 ]
Yu, Gui-Lin [5 ]
Yu, Shui-Ping [1 ,2 ,3 ,6 ]
机构
[1] Guangxi Med Univ, Affiliated Hosp 1, Dept Hepatobiliary Surg, Nanning 530021, Guangxi Zhuang, Peoples R China
[2] Guangxi Med Univ, Key Lab Early Prevent & Treatment Reg High Frequen, Minist Educ, Nanning 530021, Guangxi Zhuang, Peoples R China
[3] Guangxi Med Univ, Guangxi Key Lab Immunol & Metab Liver Dis, Nanning 530021, Guangxi Zhuang, Peoples R China
[4] Cent South Univ, Xiangya Hosp 2, Dept Gastroenterol, Nanning 410011, Guangxi Zhuang, Peoples R China
[5] Guangxi Med Univ, Affiliated Hosp 1, Dept Emergency, Nanning 530021, Guangxi Zhuang, Peoples R China
[6] Guangxi Med Univ, Affiliated Hosp 1, Dept Hepatobiliary Surg, 22 Shuangyong Rd, Nanning 530021, Guangxi Zhuang, Peoples R China
关键词
C-reactive protein to albumin ratio; Hepatocellular carcinoma; Programmed cell death-1 inhibitors; Prognosis; Nomogram; INFLAMMATION; EXPRESSION;
D O I
10.4251/wjgo.v16.i1.61
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BACKGROUND Over the years, programmed cell death-1 (PD-1) inhibitors have been routinely used for hepatocellular carcinoma (HCC) treatment and yielded improved survival outcomes. Nonetheless, significant heterogeneity surrounds the outcomes of most studies. Therefore, it is critical to search for biomarkers that predict the efficacy of PD-1 inhibitors in patients with HCC. AIM To investigate the role of the C-reactive protein to albumin ratio (CAR) in evaluating the efficacy of PD-1 inhibitors for HCC. METHODS The clinical data of 160 patients with HCC treated with PD-1 inhibitors from January 2018 to November 2022 at the First Affiliated Hospital of Guangxi Medical University were retrospectively analyzed. RESULTS The optimal cut-off value for CAR based on progression-free survival (PFS) was determined to be 1.20 using x-tile software. Cox proportional risk model was used to determine the factors affecting prognosis. Eastern Cooperative Oncology Group performance status [hazard ratio (HR) = 1.754, 95% confidence interval (95%CI) = 1.045-2.944, P = 0.033], CAR (HR = 2.118, 95%CI = 1.057-4.243, P = 0.034) and tumor number (HR = 2.932, 95%CI = 1.246-6.897, P = 0.014) were independent prognostic factors for overall survival. CAR (HR = 2.730, 95%CI = 1.502-4.961, P = 0.001), tumor number (HR = 1.584, 95%CI = 1.003-2.500, P = 0.048) and neutrophil to lymphocyte ratio (HR = 1.120, 95%CI = 1.022-1.228, P = 0.015) were independent prognostic factors for PFS. Two nomograms were constructed based on independent prognostic factors. The C-index index and calibration plots confirmed that the nomogram is a reliable risk prediction tool. The ROC curve and decision curve analysis confirmed that the nomogram has a good predictive effect as well as a net clinical benefit. CONCLUSION Overall, we reveal that the CAR is a potential predictor of short- and long-term prognosis in patients with HCC treated with PD-1 inhibitors. If further verified, CAR-based nomogram may increase the number of markers that predict individualized prognosis.
引用
收藏
页码:61 / 78
页数:19
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