scholarly journals Prognostic value of preoperative inflammatory markers in patients with hepatocellular carcinoma who underwent curative resection

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenlong Wu ◽  
Quancheng Wang ◽  
Dandan Han ◽  
Jianhui Li ◽  
Ye Nie ◽  
...  

Abstract Background The prognosis of hepatocellular carcinoma (HCC) is not optimistic. Our study focused on present inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), gamma-glutamyl transpeptidase-to-platelet ratio (GPR), aspartate aminotransferase-to-lymphocyte ratio (ALR) and fibrinogen-to-albumin ratio (FAR), and explored their optimal combination for the prognosis of HCC after resection. Methods A total of 347 HCC patients who underwent curative resection were enrolled. The optimal cutoff values of the inflammatory markers were calculated using receiver operating characteristic (ROC) curve analysis, and used to divide patients into two groups whose differences were compared by Kaplan–Meier analysis. Cox univariate and multivariate analyses were used to analyze the independent prognostic inflammatory markers. The χ2 test was chosen to determine the relationship between independent prognostic inflammatory markers and clinicopathological features. We created combined scoring models and evaluated them by Cox univariate and multivariate methods. The concordance index (C-index), Akaike information criterion (AIC) and likelihood ratio were calculated to compare the models. The selected optimal inflammatory markers and their combinations were tested in different stages of HCC by Kaplan–Meier analysis. Results The ALR and GPR were independent prognostic factors for disease-free survival (DFS); the ALR, PLR, and GPR were independent prognostic factors for overall survival (OS). The proposed GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively. Conclusion The preoperative GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively, and performed well in stratifying patients with HCC. The higher the score in the model was, the worse the prognosis.

2021 ◽  
Author(s):  
Wenlong Wu ◽  
Quancheng Wang ◽  
Dandan Han ◽  
Jianhui Li ◽  
Ye Nie ◽  
...  

Abstract Background: The prognosis of hepatocellular carcinoma (HCC) is not optimistic. Our study focused on present inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), gamma-glutamyl transpeptidase-to-platelet ratio (GPR), aspartate aminotransferase-to-lymphocyte ratio (ALR) and fibrinogen-to-albumin ratio (FAR), and aimed to explore their optimal combination for the prognosis of HCC after resection.Methods: 347 HCC patients with curative resection were enrolled. The optimal cutoff values of the inflammatory markers were calculated using receiver operating characteristic (ROC) curve analysis, and used to divide patients into two groups whose differences were compared by Kaplan-Meier analysis. Cox univariate and multivariate analysis were used to analyze the independent prognostic inflammatory markers. c2 test was chosen to determine the relationship between independent prognostic inflammatory markers and clinicopathological features. We created the combined scoring models and evaluated them by Cox univariate and multivariate methods. The concordance index (C-index), Akaike information criterion (AIC) and likelihood ratio were calculated to compare the models. The selected optimal inflammatory markers and their combinations were tested in different stages of HCC by Kaplan-Meier analysis.Results: ALR and GPR were independent prognostic factors for DFS; ALR, PLR, and GPR were independent prognostic factors for OS. The proposed GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively.Conclusion: The preoperative GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively, and performed well in stratifying patients with HCC. The higher score in the model, the worse the prognosis was.


2020 ◽  
Author(s):  
Yan Liao ◽  
Rongyu Wei ◽  
Renzhi Yao ◽  
Liling Qin ◽  
Jun Li ◽  
...  

Abstract Background: Most hepatocellular carcinoma (HCC) patients’ liver function indexes are abnormal. We aimed to investigate the relationship between (alkaline phosphatase + gamma-glutamyl transpeptidase) / lymphocyte ratio (AGLR) and the progression as well as the prognosis of HCC. Methods: A total of 495 HCC patients undergoing radical hepatectomy were retrospectively analyzed. We randomly divided these patients into the training cohort (n = 248) and the validation cohort (n = 247). In the training cohort, receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of AGLR for predicting postoperative survival of HCC patients, and the predictive value of AGLR was evaluated by concordance index (C-index). Further analysis of clinical and biochemical data of patients and the correlation analysis between AGLR and other clinicopathological factors were finished. Univariate and multivariate analyses were performed to identify prognostic factors for HCC patients. Survival curves were analyzed using the Kaplan-Meier method.Results: According to the ROC curve analysis, the optimal predictive cut-off value of AGLR was 90. The C-index of AGLR was 0.637 in the training cohort and 0.654 in the validation cohort, respectively. Based on this value, the HCC patients were divided into the low-AGLR group (AGLR ≤ 90) and the high-AGLR group (AGLR > 90). Preoperative AGLR level was positively correlated with α-fetoprotein (AFP), tumor size, tumor-node-metastasis (TNM) stage, and microvascular invasion (MVI) (all p < 0.05). In the training and validation cohorts, patients with AGLR > 90 had significantly shorter OS than patients with AGLR ≤ 90 (p < 0.001). Univariate and multivariate analyses of the training cohort (HR, 1.79; 95% CI, 1.21-2.69; p < 0.001) and validation cohort (HR, 1.82; 95% CI, 1.35-2.57; p < 0.001) had identified AGLR as an independent prognostic factor. A new prognostic scoring model was established based on the independent predictors determined in multivariate analysis.Conclusions: The elevated preoperative AGLR level indicated poor prognosis for patients with HCC; the novel prognostic scoring model had favorable predictive capability for postoperative prognosis of HCC patients, which may bring convenience for clinical management.


2021 ◽  
Author(s):  
João Paulo Maciel Silva ◽  
Fabricio Ferreira Coelho ◽  
Alex Jones Flores Cassenote ◽  
Vagner Birk Jeismann ◽  
Gilton Marques Fonseca ◽  
...  

Abstract Background Recent studies from eastern centers have demonstrate an association between inflammatory response and long-term outcomes after hepatocellular carcinoma (HCC) resection. However, the prognostic impact of inflammatory markers in western patients, with distinct tumor and epidemiologic features, is still unknown. Aim To evaluate the prognostic impact of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), as well as their impact according to tumor size (< 5 cm, 5-10 cm, > 10 cm) in patients undergoing HCC resection with curative intent. Methods Optimal cut-off values for NLR, PLR, and MLR were determined by plotting the receiver operator curves. Overall survival (OS) and disease-free survival (DFS) curves were calculated using the Kaplan-Meier method and compared using the log-rank test. The Cox method was used to identify independent predictors of OS and DFS. Results In total, 161 consecutive adult patients were included. A high NLR (>1.715) was associated with worse OS (P=0.018). High NLR (>2.475; P=0.047) and PLR (>100.25; P=0.028) were predictors of short DFS. In HCC < 5 cm, MLR (>1.715) was associated with worse OS (P=0.047). In the multivariate analysis, high PLR was an independent predictor of worse DFS (hazard ratio [HR]=3.029; 1.499-6.121; P=0.002). Conclusions Inflammatory markers are useful tools to predict long-term outcomes after liver resection in western patients, high NLR was able to stratify subgroups of patients with short OS and DFS, an increased PLR was an independent predictor of short DFS, while high MLR was associated with short OS in patients with early HCC.


2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
T. Kabir ◽  
M. Ye ◽  
N. A. Mohd Noor ◽  
W. Woon ◽  
S. P. Junnarkar ◽  
...  

Background. In recent years, inflammation-based scoring systems have been reported to predict survival in Hepatocellular Carcinoma (HCC). The aim of our study was to validate combined preoperative Neutrophil-to-Lymphocyte ratio (NLR)-Platelet-to-Lymphocyte ratio (PLR) in predicting overall survival (OS) and recurrence free survival (RFS) in patients who underwent curative resection for HCC. Methods. We conducted a retrospective study of HCC patients underwent liver resection with curative intent from January 2010 to December 2013. Receiver-operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values for NLR and PLR. Patients with both NLR and PLR elevated were allocated a score of 2; patients showing one or neither of these indices elevated were accorded a score of 1 or 0, respectively. Results. 132 patients with a median age of 66 years (range 18-87) underwent curative resection for HCC. Overall morbidity was 30.3%, 30-day mortality was 2.3%, and 90-day mortality was 6.8%. At a median follow-up of 24 months (range 1-88), 25% patients died, and 40.9% had recurrence. On multivariate analysis, elevated preoperative NLR-PLR was predictive of both OS (HR 2.496; CI 1.156-5.389; p=0.020) and RFS (HR 1.917; CI 1.161-3.166; p=0.011). The 5-year OS was 76% for NLR-PLR=0 group, 21.7% for the NLR-PLR=1 group, and 61.1% for the NLR-PLR=2 group, respectively. The 5-year RFS was 39.3% for the NLR-PLR=0 group, 18.4% for the NLR-PLR=1 group, and 21.1% for the NLR-PLR=2 group, respectively. Conclusion. The preoperative NLR-PLR is predictive of both OS and RFS in patients with HCC undergoing curative liver resection.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weihao Kong ◽  
Mingwei Yang ◽  
Jianfeng Zhang ◽  
Ya Cheng ◽  
Tianxing Dai ◽  
...  

Abstract Background As is well recognized that inflammation plays a crucial role in the genesis and progression of various cancer. Here we investigate the prognostic value of a novel index: the combination of neutrophil to lymphocyte ratio and platelet distribution width (coNLR-PDW) in post-operation patients with resectable hepatocellular carcinoma (HCC). Methods The receiver operating characteristic (ROC) curve was utilized to determine the optimal cutoff values of continuous variables, including the neutrophil-lymphocyte ratio (NLR) and platelet distribution width (PDW). Kaplan-Meier method and the Log-rank test were used to compare survival differences across three groups stratified by the coNLR-PDW score. Univariate and multivariate Cox proportional hazard regression analyses were adopted to identify independent factors of HCC patient’s prognosis. Results 1.59 and 13.0 were perceived as the optimal cutoff value for NLR and PDW based on the ROC curve, respectively. Kaplan-Meier method revealed that a higher coNLR-PDW score predicts poorer overall survival (OS) and disease-free survival (DFS) (P < 0.001). coNLR-PDW was demonstrated as an independent factor for both OS and DFS using Cox regression analysis in training and validation cohort. Conclusion coNLR-PDW is recognized as a valuable biomarker for predicting the survival of patients with HCC.


2019 ◽  
Vol 8 (10) ◽  
pp. 1676 ◽  
Author(s):  
Pao-Yuan Huang ◽  
Chih-Chi Wang ◽  
Chih-Che Lin ◽  
Sheng-Nan Lu ◽  
Jing-Houng Wang ◽  
...  

Background: Inflammatory markers are regarded as prognostic factors of the outcomes of hepatocellular carcinoma (HCC). Examples include the neutrophil-to-lymphocyte ratio (NLR); platelet to lymphocyte ratio (PLR); the albumin and lymphocyte counts used in the prognostic nutritional index (PNI); and the neutrophil, lymphocyte, and platelet counts used in the systemic immune-inflammation index (SII). This study evaluates the effects of PNI, NLR, PLR, and SII to predict recurrence and survival in patients with Barcelona Clinic Liver Cancer (BCLC) stages 0-A of HCC after hepatectomy. Methods: This retrospective study was conducted at Kaohsiung Chung-Gung Memorial Hospital, Taiwan. The study enrolled 891 patients (77.9% males; mean age 58.53 ± 11.60 years) with BCLC stage 0/A HCC undergoing hepatectomy between 2001 and 2016. PNI, NLR, PLR and SII were measured before hepatectomy. Results: High NLR (>1.8) was adversely associated with overall survival (p = 0.032). Low PNI (≤45) was adversely associated with overall survival and disease-free survival (p < 0.001). Low SII (≤45) also had an adverse association with overall survival (p = 0.008) and disease-free survival (p < 0.001). Diabetes mellitus, cirrhosis, microvascular invasion, low PNI (≤45), and low SII (≤160) were independently associated with poor overall survival in a multivariate analysis. HCV infection, diabetes mellitus, cirrhosis, microvascular invasion, low PNI, and low SII were independent prognostic factors of recurrent HCC. The combined use of PNI and SII provided improved prognostic information. Conclusions: Low PNI and low SII are significantly poor prognostic factors for overall survival and recurrence in patients with BCLC 0-A hepatocellular carcinoma after hepatectomy.


BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Liao ◽  
Rongyu Wei ◽  
Renzhi Yao ◽  
Liling Qin ◽  
Jun Li ◽  
...  

Abstract Background Most hepatocellular carcinoma (HCC) patients’ liver function indexes are abnormal. We aimed to investigate the relationship between (alkaline phosphatase + gamma-glutamyl transpeptidase)/lymphocyte ratio (AGLR) and the progression as well as the prognosis of HCC. Methods A total of 495 HCC patients undergoing radical hepatectomy were retrospectively analyzed. We randomly divided these patients into the training cohort (n = 248) and the validation cohort (n = 247). In the training cohort, receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of AGLR for predicting postoperative survival of HCC patients, and the predictive value of AGLR was evaluated by concordance index (C-index). Further analysis of clinical and biochemical data of patients and the correlation analysis between AGLR and other clinicopathological factors were finished. Univariate and multivariate analyses were performed to identify prognostic factors for HCC patients. Survival curves were analyzed using the Kaplan–Meier method. Results According to the ROC curve analysis, the optimal predictive cut-off value of AGLR was 90. The C-index of AGLR was 0.637 in the training cohort and 0.654 in the validation cohort, respectively. Based on this value, the HCC patients were divided into the low-AGLR group (AGLR ≤ 90) and the high-AGLR group (AGLR > 90). Preoperative AGLR level was positively correlated with alpha-fetoprotein (AFP), tumor size, tumor-node-metastasis (TNM) stage, and microvascular invasion (MVI) (all p < 0.05). In the training and validation cohorts, patients with AGLR > 90 had significantly shorter OS than patients with AGLR ≤ 90 (p < 0.001). Univariate and multivariate analyses of the training cohort (HR, 1.79; 95% CI 1.21–2.69; p < 0.001) and validation cohort (HR, 1.82; 95% CI 1.35–2.57; p < 0.001) had identified AGLR as an independent prognostic factor. A new prognostic scoring model was established based on the independent predictors determined in multivariate analysis. Conclusions The elevated preoperative AGLR level indicated poor prognosis for patients with HCC; the novel prognostic scoring model had favorable predictive capability for postoperative prognosis of HCC patients, which may bring convenience for clinical management.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7132 ◽  
Author(s):  
Dong Wang ◽  
Ning Bai ◽  
Xi Hu ◽  
Xi Wu OuYang ◽  
Lei Yao ◽  
...  

Background Many recent studies have demonstrated the predominant role chronic inflammation plays in cancer cell propagation, angiogenesis and immunosuppression. Cancer-related inflammation (CRI) has been shown to correlate with poor cancer prognosis. Our study aimed to evaluate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in patients with hepatocellular carcinoma (HCC) who have undergone liver resection. Methods Between 2012 and 2015, 239 patients with HCC who had undergone liver resection at XiangYa Hospital Central South University were included in this study. The values of simple inflammatory markers, including the NLR and PLR, used in predicting the long-term outcomes of these patients were evaluated using Kaplan–Meier curves and Cox regression models. Results The cutoff values of the NLR and PLR were 2.92 and 128.1, respectively. In multivariate Cox regression analysis, high NLR (≥2.92) and high PLR (≥128.1) were independent risk factors predicting poorer outcomes in patients with HCC. However, high NLR and high PLR were prognostic factors in tumor size and tumor number. Conclusions In this study, we identified that high NLR (≥2.92) and high PLR (≥128.1) are useful prognostic factors in predicting outcomes in patients with HCC whom underwent liver resection.


2020 ◽  
Author(s):  
Weihao Kong ◽  
Mingwei Yang ◽  
Jianfeng Zhang ◽  
Ya Cheng ◽  
Tianxing Dai ◽  
...  

Abstract Purpose: As is well recognized that inflammation plays a crucial role in the genesis and progression of various cancer. Here we investigate the prognostic value of a novel index: the combination of neutrophil to lymphocyte ratio and platelet distribution width (coNLR-PDW) in post-operation patients with resectable hepatocellular carcinoma (HCC).Methods: 250 HCC patients who underwent hepatectomy were retrospectively analyzed. The receiver operating characteristic (ROC) curve was utilized to determine the optimal cutoff values of continuous variables, including the neutrophil-lymphocyte ratio (NLR) and platelet distribution width (PDW). Kaplan-Meier method and the Log-rank test were used to compare survival differences across three groups stratified by the coNLR-PDW score. Univariate and multivariate regression analyses were adopted to identify independent factors of HCC patient’s prognosis.Results: 1.59 and 13.0 were perceived as the optimal cutoff value for NLR and PDW based on the ROC curve, respectively. Kaplan-Meier method revealed that higher coNLR-PDW score predicts poorer overall survival (OS) and disease-free survival (DFS) (P <0.001). coNLR-PDW was demonstrated as independent factor for both OS and DFS using Cox regression analysis (HR: 3.674, 95%CI: 2.092-6.452, P <0.001 for OS; HR: 2.166, 95%CI: 1.523-3.082, P <0.001 for DFS).Conclusion: coNLR-PDW is recognized as a valuable biomarker for predicting the survival of patients with HCC.


2020 ◽  
Author(s):  
panquan luo ◽  
lixiang zhang ◽  
lei chen ◽  
gang wang ◽  
hai zhu ◽  
...  

Abstract Background Hepatocellular carcinoma (HCC) is a primary malignancy of the hepatocyte with high risk of invasion, metastasis and poor prognosis, which leads to a high mortality rate in recent years. This study aims to investigate the independent prognosis factors of DFS(disease free survival) in hepatocellular carcinoma patients after radical hepatectomy.Methods This study retrospectively analyzed 358 patients admitted to the 1st Affiliated Hospital of Anhui Medical College from December 2009 to December 2014. Categorical variables were analyzed by chi-square test. The survival curve was plotted by kaplan-meier method and tested by log-rank method. Univariate and multivariate Cox regression analyses were performed to determine the prognostic factors.Results Among the 344 patients with liver cancer, 298 cases (86.63%) are young patients (< 70 years), and 46 cases (13.37%) were elderly patients (≥ 70 years). There were no significant difference in gender, smoking history, alcohol consumption history, Body Mass Index (BMI), number of cancer nodules, tumor diameter, differentiation degree and TNM stage between the young and elderly groups (P > 0.05). However, history of hepatitis B and liver cirrhosis were more common in young patients than elderly (P=0.017, P༝0.000). The Kaplan-Meier curves indicated that elderly patients (higher than 70 years), TNM I-II stage and no history of hepatitis B had longer DFS. The univariate and multivariate analyses showed that age, TNM stage, History of hepatitis B were the independent factors for DFS.Conclusions Our findings suggested that age, TNM stage, history of hepatitis B were independent factors for predicting DFS of primary hepatocellular carcinoma patients. Patients older than 70 years had a better prognosis than young patients. Patients with early TNM stage and no history of hepatitis B had longer DFS.


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