Dynamic change of the systemic immune inflammation index predicts the prognosis of patients with hepatocellular carcinoma after curative resection

Wang, Beili; Tian, Lu; Gao, Xinjie; Ma, Xiaolu; Wu, Jiong; Zhang, Chunyan; Zhou, Yan; Guo, Wei; Yang, Xin‐Rong

doi:10.1515/cclm-2015-1191

Cited by 73 publications

(66 citation statements)

References 38 publications

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“…Tumor size and tumor number were most important indicator of tumor burden. The two factors greatly impacted the prognosis of HCC after LT and surgical resection [18,19]. Consistent with previously published studies, poor differentiation was related to high incidence of recurrence and poor survival after hepatecomy or after transplantation [20].…”

Section: Discussionsupporting

confidence: 84%

Nomograms to predict prognosis of hepatocelluar carcinoma without major vascular invasion after primary liver transplantation

Shen¹,

Li²,

Wen³

et al. 2018

Oncotarget

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Background: A model to predict individual prognosis after liver transplantation (LT) has not been clearly established. We aimed to create nomograms for prediction of individual survival after LT for hepatocelluar carcinoma (HCC).Results: There were 128(61.2%) patients within the Milan criteria. Before transplantation, 43 (20.6%) patients received transcatheter arterial chemoembolization (TACE) and 22 (10.5%) received radiofrequency ablation(RFA). Multivariate predictors of survival included tumor size, tumor number and tumor differentiation. Nomograms for OS and recurrence free survival (RFS) have been created. Discrimination and calibration of the nomograms revealed good predictive abilities(C-index, RFS: 0.74; OS: 0.70). Compared with Milan criteria, UCSF criteria, up-to-seven criteria and Hangzhou criteria, the OS nomogram improved accuracy in predicting prognosis after transplantation for HCC, (p < 0.05 for all). Finally, three subgroups were generated based on the total risk points (A': 1.88-76.5 points; B': 76.6-113.9points; C': 113.9-151.3points). The 5-year survival rate were 86.1% for group A', 59.1% for group B', and 28.9% for group C', respectively.Conclusions: The nomograms had good ability in predicting prognostic survival for HCC patients after LT. Patients with score above 113.9 points had poor survival after LT.Materials and method: Between Juanuary 2002 and September 2015, 209 HCC patients who received liver transplantation in the West China Hospital were collected for this study. Prognostic nomograms predicting post-transplant prognosis were developed from a multivariate cox regression. The prediction power of the nomograms was tested by C-statistic and calibration plots. www.impactjournals.com/oncotarget/ Vol.9, (No.1), Supplement 1, pp: s353-s362

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Section: Discussionsupporting

confidence: 84%

Nomograms to predict prognosis of hepatocelluar carcinoma without major vascular invasion after primary liver transplantation

Shen¹,

Li²,

Wen³

et al. 2018

Oncotarget

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“…Several inflammation prognostic scores, such as the systemic immune-inflammation index (SII), the neutrophil to lymphocyte ratio (NLR), the platelet to lymphocyte ratio (PLR) and the aspartate aminotransferase-lymphocyte ratio index (ALRI), have been developed to predict survival and recurrence in patients with HCC [14][15][16][17][18][19][20][21][22][23].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Immune inflammation indicators and ALBI score to predict liver cancer in HCV-patients treated with direct-acting antivirals

Casadei-Gardini

Foschi

Conti

et al. 2019

Digestive and Liver Disease

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Background: Unexpectedly high occurrence or recurrence rate of hepatocellular carcinoma (HCC) has been observed in patients with chronic hepatitis C receiving direct-acting antivirals (DAAs) therapy. Aims: We evaluated the predictive value of albumin-bilirubin (ALBI) score and immune-inflammation indicators to identify the risk of occurrence or recurrence of HCC in patients treated with DAAs in a real life setting. Methods: In this retrospective cohort study, we analysed data from 514 patients with cirrhosis who were prospectively enrolled for treatment with DAAs. We assessed baseline neutrophil to lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet to lymphocyte ratio (PLR), aspartate aminotransferase-lymphocyte ratio (ALRI) index and ALBI score. Results: In patients with no history of HCC (N=416), increased AST, bilirubin, ALRI, and ALBI score, and decreased albumin and platelets were significantly associated with an increased risk of HCC development, at univariate analysis. At multivariate analysis, increase in ALBI grade (p = 0.038, HR: 2.35, 95%

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“…The relationship between the tumor and in ammation has been studied widely, tumors can lead to in ammation, which can cause the damage of DNA and micro-metastasis lesions[9], the systemic in ammatory response (SIR) can weaken the immune function of body and promote the progression of tumor. Related research found that neutrophils, lymphocytes and platelets can play a signi cant role in the SIR which are related the development of tumor [10,11], based on peripheral lymphocytes, neutrophils, and platelet count, Several systemic in ammation-based scores such as the combination of NLR and PLR(NLR-PLR) [12], the combination of platelet count (PLT) and NLR (PLT-NLR) [13], the systemic immunein ammation index (SII) can re ect the in ammation and immune status of human body [14,15], their prognostic value have been con rmed in some tumors. There is little clinical research had been published to compare the prognostic value of these in ammatory markers.…”

Section: Introductionmentioning

confidence: 99%

A nomogram established by inflammatory markers predicting overall survival after radical resection of gastric cancer

Zhang¹,

Su²,

Wei³

et al. 2020

Preprint

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Background The prognostic value of inflammatory markers have been confirmed in some tumors, this research was to explore more clinical markers and then build a reliable nomogram to predict overall survival after radical resection of gastric cancer.Methods 904 patients who underwent surgery at the First Affiliated Hospital of Anhui Medical University from January 2010 to January 2013 were included. Univariate and multivariate analyses were used to screen for prognostic risk factors. The construction of the nomogram is based on the Cox proportional hazard regression model. The construction of the new scoring model is analyzed by the receiver operator characteristic (ROC) curve and then compared with other clinical indicators.Results Multivariate analysis showed that TNM stage, CEA, the systemic immune-inflammation index (SII) and age were independent prognostic factors. The value of SII was better than other inflammatory markers. The new nomogram had a higher AUC value than TNM and other risk factors, and the C-index of the nomogram was highly consistent for evaluating survival of gastric cancer patients in the validation groups and training group.Conclusions Based on the serum markers and other clinical indicators, we developed a precise nomogram to predict the prognosis of gastric cancer patients after radical surgery. This new score system can provide effective help for surgeons and patients.

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Dynamic change of the systemic immune inflammation index predicts the prognosis of patients with hepatocellular carcinoma after curative resection

Abstract: The dynamic change and serial monitoring of the SII represent new indicators for predicting the early recurrence of HCC determining advance optimal therapy in advance.

Cited by 73 publications

References 38 publications

Nomograms to predict prognosis of hepatocelluar carcinoma without major vascular invasion after primary liver transplantation

Nomograms to predict prognosis of hepatocelluar carcinoma without major vascular invasion after primary liver transplantation

Immune inflammation indicators and ALBI score to predict liver cancer in HCV-patients treated with direct-acting antivirals

A nomogram established by inflammatory markers predicting overall survival after radical resection of gastric cancer

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