Prognostic significance of preoperative systemic inflammatory biomarkers in patients with hepatocellular carcinoma after microwave ablation and establishment of a nomogram

被引:8
|
作者
Wang, Shuai [1 ,2 ]
Deng, Yan [2 ]
Yu, Xiao [2 ]
Zhang, Xue-Wen [2 ]
Huo, Cheng-Long [2 ]
Sun, Zhen-Gang [2 ]
Chang, Hong [1 ]
机构
[1] Shandong Univ, Cheeloo Coll Med, Shandong Prov Hosp, Dept Hepatobiliary Surg, 9677,Jingshi Rd, Jinan 500212, Shandong, Peoples R China
[2] Yangtze Univ, Clin Med Coll 2, Jing Zhou Cent Hosp, Dept Hepatobiliary Surg, Jingzhou 434020, Hubei, Peoples R China
关键词
NUTRITIONAL INDEX; COLORECTAL-CANCER; IMMUNE-RESPONSE; PROSTATE-CANCER; ASPIRIN USE; HEPATITIS; ALBUMIN; SCORE; MICROENVIRONMENT; EPIDEMIOLOGY;
D O I
10.1038/s41598-021-93289-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The study aimed to evaluate the prognostic significance of preoperative systemic inflammatory biomarkers including albumin to globulin ratio (AGR), neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) and establish a nomogram in hepatocellular carcinoma (HCC) patients after microwave ablation (MWA). 192 HCC patients receiving MWA as initial therapy from the first ward of hepatobiliary surgery were classified as training cohort. Whereas, 84 patients from the second of hepatobiliary surgery were classified as validation cohort. Kaplan-Meier (KM) method and univariate analyses showed that AGR, NLR, LMR, and PLR were significantly associated with OS in the training cohort. Multivariate analysis including clinicopathologic features screened out independent predictors including ascites, tumor size, cancer embolus, AGR, and PLR. Based on those variables, a nomogram for predicting OS was established. The C-index was 0.794 in the training cohort and 0.772 in the validation cohort. Calibration plots identified the nomogram performed well with an ideal model. Compared with Barcelona Clinic Liver Cancer (BCLC) staging system and simple tumor size, the nomogram showed better predictive ability. Besides, the nomogram discovered the highest diagnostic accuracy in predicting postoperative clinical outcome than the combination of the present models with tumor size. In conclusion, the constructed nomogram could accurately predict individualized survival probability and might support clinician in individual treatment optimization and clinical decision-making.
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页数:13
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