scholarly journals The Prognostic Value of aspartate aminotransferase to lymphocyte ratio and systemic immune-inflammation index for Overall Survival of Hepatocellular Carcinoma Patients Treated with palliative Treatments

2019 ◽  
Vol 10 (10) ◽  
pp. 2299-2311 ◽  
Author(s):  
Li-Yun Zhao ◽  
Dong-Dong Yang ◽  
Xiao-Kun Ma ◽  
Meng-Meng Liu ◽  
Dong-Hao Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Aspartate Aminotransferase ◽  
Prognostic Value ◽  
Lymphocyte Ratio ◽  
Immune Inflammation

scholarly journals Systemic Immune-Inflammation Index (SII) is Useful to Predict Survival Outcomes in Patients After Liver Transplantation for Hepatocellular Carcinoma within Hangzhou Criteria

2018 ◽  
Vol 47 (1) ◽  
pp. 293-301 ◽  
Author(s):  
Hongyuan Fu ◽  
Jun Zheng ◽  
Jianye Cai ◽  
Kaining Zeng ◽  
Jia Yao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Roc Curve ◽  
Prognostic Value ◽  
Proportional Hazards Model ◽  
Prognostic Biomarker ◽  
Cox Proportional Hazards Model ◽  
Roc Curve Analysis ◽  
Lymphocyte Ratio ◽  
Immune Inflammation

Background: There is growing evidence that the systemic immune-inflammation index (SII), a novel prognostic biomarker based on peripheral lymphocyte, neutrophil, and platelet counts, is associated with poor prognosis for several tumors. However, the prognostic value of SII in patients with hepatocellular carcinoma (HCC) who undergo liver transplantation (LT) remains unclear. The aim of this study was to determine the correlation between SII and prognosis in these patients. Methods: This retrospective study involved 150 patients with HCC who underwent LT within the Hangzhou criteria. The optimal cut-off value was determined by receiver-operating characteristic (ROC) curve analysis to stratify the patients into those with a high SII and those with low SII. The Kaplan-Meier method and the Cox proportional hazards model were used to evaluate the prognostic value of SII. Finally, we calculated the area under the ROC curve to compare the prognostic power of SII, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR). Results: Patients were divided into high SII (≥ 226) and low SII (< 226) groups. Five-year overall survival (OS) was lower in the high SII group than in the low SII group (56.1% vs. 82.4%, p = 0.002). SII ≥ 226 × 109/L, maximum tumor size> 5 cm, microvascular invasion, and poor differentiation were independent prognostic factors for OS. However, SII did not predict 5-year recurrence-free survival (high vs. low SII: 64.1% vs. 78.4%, p = 0.073). The area under the ROC curve was greater for SII than for PLR, NLR, and MLR. Conclusions: Preoperative SII may be a powerful prognostic biomarker in patients with HCC who undergo LT within the Hangzhou criteria. SII is superior to PLR, NLR, and MLR for prediction of OS in these patients.

scholarly journals Postoperative Trends and Prognostic Values of Inflammatory and Nutritional Biomarkers after Liver Transplantation for Hepatocellular Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 513
Author(s):  
Riccardo Pravisani ◽  
Federico Mocchegiani ◽  
Miriam Isola ◽  
Dario Lorenzin ◽  
Gian Luigi Adani ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Nutritional Status ◽  
Prognostic Value ◽  
Prognostic Nutritional Index ◽  
Inflammatory Biomarkers ◽  
Lymphocyte Ratio ◽  
Inflammatory State ◽  
Early Hcc ◽  
The Impact

Preoperative inflammatory biomarkers such as the Platelet-to-Lymphocyte Ratio (PLR) and the Neutrophil-to-Lymphocyte Ratio (NLR) strongly predict the outcome in surgically treated patients with hepatocellular carcinoma (HCC), while nutritional biomarkers such as the Controlling Nutritional Status (CONUT) and the Prognostic Nutritional Index (PNI) show an analogue prognostic value in hepatic resection (HR) but not in liver transplant (LT) cases. Data on the impact of LT on the inflammatory and nutritional/metabolic function are heterogeneous. Therefore, we investigated the post-LT trend of these biomarkers up to postoperative month (POM) 12 in 324 HCC patients treated with LT. Inflammatory biomarkers peaked in the early post-LT period but at POM 3 leveled off at values similar (NLR) or higher (PLR) than pre-LT ones. CONUT and PNI worsened in the early post-LT period, but at POM 3 they stabilized at significantly better values than pre-LT. In LT recipients with an overall survival >1 year and no evidence of early HCC recurrence, 1 year post-LT NLR and PNI independently predicted patient overall survival, while 1 year post-LT PLR independently predicted late tumor recurrence. In conclusion, at 1 year post-LT, the nutritional status of liver-transplanted HCC patients significantly improved while their inflammatory state tended to persist. Consequently, post-LT PLR and NLR maintained a prognostic value for LT outcome while post-LT CONUT and PNI acquired it.

The importance of the glucose-to-lymphocyte ratio in patients with hepatocellular carcinoma treated with sorafenib

2021 ◽  
Author(s):  
Ali Yılmaz ◽  
Melih Şimşek ◽  
Zekeriya Hannarici ◽  
Mehmet E Büyükbayram ◽  
Mehmet Bilici ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Prognostic Nutritional Index ◽  
Neutrophil To Lymphocyte Ratio ◽  
Advanced Hcc ◽  
Lymphocyte Ratio ◽  
Lymphocyte To Monocyte Ratio ◽  
Nutritional Index ◽  
Before And After ◽  
Immune Inflammation

Aim: To show the prognostic significance of the glucose-to-lymphocyte ratio (GLR) in hepatocellular carcinoma (HCC). Patients & methods: A total of 150 patients with advanced HCC who were treated with sorafenib in our center between January 2011 and December 2019 were included in the study retrospectively. Neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, prognostic nutritional index and GLR were analyzed to assess their prognostic value using Kaplan–Meier and Cox regression analysis before and after propensity score matching (PSM). Results: In univariate analysis before and after PSM, albumin–bilirubin grade, neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, lymphocyte-to-monocyte ratio, prognostic nutritional index, AFP level and GLR were found to be significantly associated with both progression-free and overall survival. In multivariate analysis before and after PSM, GLR, albumin–bilirubin grade and AFP were determined to be independent prognostic factors for progression-free and overall survival. Conclusion: The GLR prior to sorafenib treatment is a new prognostic biomarker that may predict survival in advanced HCC.

scholarly journals The Landscape of Glycosyltransferase Gene Signature for Overall Survival Prediction in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Qiang Cai ◽  
Shizhe Yu ◽  
Jian Zhao ◽  
Duo Ma ◽  
Long Jiang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Risk Score ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Groups ◽  
Gene Signature ◽  
Low Risk ◽  
Regression Analyses ◽  
Risk Patients

Abstract Background: Hepatocellular carcinoma (HCC) is heterogeneous disease occurring in the background of chronic liver diseases. The role of glycosyltransferase (GT) genes have recently been the focus of research associating with the development of tumors. However, the prognostic value of GT genes in HCC remains not elucidated. This study aimed to demonstrate the GT genes related to the prognosis of HCC through bioinformatics analysis.Methods: The GT genes signatures were identified from the training set of The Cancer Genome Atlas (TCGA) dataset using univariate and the least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Then, we analyzed the prognostic value of GT genes signatures related to the overall survival (OS) of HCC patients. A prognostic model was constructed, and the risk score of each patient was calculated as formula, which divided HCC patients into high- and low-risk groups. Kaplan-Meier (K-M) and Receiver operating characteristic (ROC) curves were used to assess the OS of HCC patients. The prognostic value of GT genes signatures was further investigated in the validation set of TCGA database. Univariate and multivariate Cox regression analyses were performed to demonstrate the independent factors on OS. Finally, we utilized the gene set enrichment analysis (GSEA) to annotate the function of these genes between the two risk categories. Results: In this study, we identified and validated 4 GT genes as the prognostic signatures. The K-M analysis showed that the survival rate of the high-risk patients was significantly lower than that of the low-risk patients. The risk score calculated with 4 gene signatures could predict OS for 3-, 5-, and 7-year in patients with HCC, revealing the prognostic ability of these gene signature. In addition, Multivariate Cox regression analyses indicated that the risk score was an independent prognostic factor for HCC. Functional analysis further revealed that immune-related pathways were enriched, and immune status in HCC were different between the two risk groups.Conclusion: In conclusion, a novel GT genes signature can be used for prognostic prediction in HCC. Thus, targeting GT genes may be a therapeutic alternative for HCC.

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