The prognostic value of inflammation-based scores in advanced hepatocellular carcinoma patients prior to treatment with sorafenib

Clinicopathological Aspects and Inflammation-Immune Markers in Alcohol and/or Hepatitis C Virus-Induced Hepatocellular Carcinoma Patients Treated With Sorafenib

Background

Tyrosine kinase inhibitors have been used to treat hepatocellular carcinoma (HCC), but the outcomes of patients under treatment vary. Since the roles of clinicopathological aspects and markers of chronic inflammation/immune homeostasis in the outcome of HCC patients treated with sorafenib are still unclear, these were the aims of this study.

Methods

Patients with alcohol-induced and/or hepatitis C virus (HCV)-induced HCC (n = 182) uniformly treated with sorafenib were included in the study. Baseline clinicopathological aspects of patients were computed from the medical records. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammation response index (SIRI), and systemic immune-inflammation index (SII) were obtained from the hematological exam performed before the administration of sorafenib. Overall survival (OS) was analyzed using Kaplan-Meier probabilities, log-rank test, and univariate and multivariate Cox proportional hazard ratio (HR) analyses.

Results

In multivariate analysis, alpha-foetoprotein (AFP) level and Child-Pugh score were predictors of OS. Patients with AFP levels higher than 157 ng/mL and Child-Pugh B or C had 1.40 (95% confidence interval (CI): 1.03 - 1.91, P = 0.03) and 1.64 (95% CI: 1.07 - 2.52, P = 0.02) more chances of evolving to death than the remaining patients, respectively. NLR, PLR, LMR, SIRI, and SII did not alter the OS of HCC patients.

Conclusions

AFP level and Child-Pugh score act as independent prognostic factors in patients with alcohol and/or HCV-induced HCC treated with sorafenib, but markers of chronic inflammation/immune homeostasis seem not to alter the outcome of patients with HCC induced by alcohol and/or HCV.

Population Pharmacokinetics and Exposure-Response Analysis of Tremelimumab 300 mg Single Dose Combined with Durvalumab 1500 mg Q4W (STRIDE) in Patients with Unresectable Hepatocellular Carcinoma

A novel single-dose regimen of 300 mg tremelimumab in combination with durvalumab (STRIDE) has demonstrated a favorable benefit-risk profile in the phase 1/2 Study 22 trial (in patients with unresectable hepatocellular carcinoma, uHCC) and in the phase 3 HIMALAYA study. The current analysis evaluated the population pharmacokinetics (PopPK) of tremelimumab and durvalumab, and the exposure-response (ER) relationship for efficacy and safety of STRIDE in patients with uHCC. Previous PopPK models for tremelimumab and durvalumab were updated using data from previous studies in various cancers combined with data from Study 22 and HIMALAYA. Typical population mean parameters and associated inter- and intra-individual variability were assessed, as was the influence of covariates. Individual exposure metrics were derived from the individual empirical Bayes estimates as drivers for ER analysis related to efficacy and safety from HIMALAYA. The observed pharmacokinetics of tremelimumab in uHCC were well described by a 2-compartment model with both linear and time-dependent clearance. All identified covariates changed tremelimumab PK parameters by <25%, and thus had minimal clinical relevance; similar results were obtained from durvalumab PopPK analysis. None of tremelimumab or durvalumab exposure metrics were significantly associated with overall survival (OS), progression-free survival (PFS), or adverse events. Baseline aspartate aminotransferase and neutrophil-to-lymphocyte ratio (NLR) were associated with OS (P < .001) by the Cox proportional hazards model. No covariate was identified as a significant factor for PFS. No dose adjustment for tremelimumab or durvalumab is needed based on PopPK covariate analyses or ER analyses. Our findings support the novel STRIDE dosing regimen in patients with uHCC.

Development of a Multivariate Prognostic Model for Lenvatinib Treatment in Hepatocellular Carcinoma

BACKGROUND

Lenvatinib is a first-line agent for advanced hepatocellular carcinoma (HCC), but individual responses to treatment are highly heterogeneous. The aim of this study was to investigate the clinical parameters that influence the efficacy of Lenvatinib and to develop a prognostic model.

METHODS

We retrospectively enrolled 333 Lenvatinib-treated patients with HCC with a median age of 57 years. Two hundred nd sixty-three of these patients had BCLC (2022) stage C. The median overall survival (mOS) time within the cohort was 12.1 months, and the median progression-free survival (mPFS) time was 4.7 months. Univariate Cox regression, best subset regression, and Lasso regression were used to screen primary variables for possible contribution to OS, multivariate Cox analysis was used to fit selected models, and the final model was selected using the maximum area under the curve (AUC) and minimum AIC. Receiver operating curves (ROC), calibration curves, and decision curve analysis were plotted to assess model performance, and 5-fold cross-validation was performed for internal validation. X-tile software was used to select the best cutoff points and to divide the study cohort into 3 different risk groups.

RESULTS

Seven variables were included in the final model: BCLC stage, prior transarterial chemoembolization and immunotherapy history, tumor number, prognostic nutritional index, log (alpha-fetoprotein), and log (platelet-to-lymphocyte ratio). We named this final model the "multivariate prognostic model for Lenvatinib" (MPML), and a nomogram was constructed to predict the probability of survival at 6, 9, and 12 months. The MPML had good discrimination, calibration, and applicability. Cross-validation showed mean AUC values of 0.7779, 0.7738, and 0.7871 at 6, 9, and 12 months, respectively. According to nomogram points, mOS time was 21.57, 8.70, and 5.37 months in the low, medium, and high-risk groups, respectively (P < .001), and these differences were also observed in the PFS survival curve (P < .001).

CONCLUSIONS

The MPML stratified patients according to baseline clinical characteristics had a strong performance in predicting Lenvatinib efficacy and has the potential for use as an auxiliary clinical tool for individualized decision-making.

Validation of the easy-to-use lenvatinib prognostic index to predict prognosis in advanced hepatocellular carcinoma patients treated with lenvatinib

AIM

The identification of new prognostic factors able to stratify hepatocellular carcinoma patients candidate to first-line therapy is urgent. In the present work we validated the prognostic value of the lenvatinib prognostic index.

METHODS

Data of Eastern and Western patients treated with lenvatinib as first-line for Barcelona Clinic Liver Cancer stage B or C hepatocellular carcinoma were recollected. The lenvatinib prognostic index was composed by three classes of risk according with our previous study. The "low risk" group includes patients with prognostic nutritional index (PNI) >43.3 and with previous transarterial chemoembolization. The "medium risk" group includes patients with PNI >43.3, but without previous transarterial chemoembolization and patients with PNI <43.3, albumin-bilirubin grade 1 and Barcelona Clinic Liver Cancer stage B. The "high risk" group includes patients with PNI <43.3, albumin-bilirubin grade 2, and patients with PNI <43.3, albumin-bilirubin grade 1 and Barcelona Clinic Liver Cancer stage C.

RESULTS

A total of 717 patients were included. The median overall survival was 20.7 months (95% CI 16.1-51.6) in patients with low risk (n = 223), 16.7 months (95% CI 13.3-47.0) in patients with medium risk (n = 264), and 10.7 months (95% CI 9.3-12.2) in patients with high risk (n = 230; HR 1, 1.29, and 1.92, respectively; p < 0.0001). Median progression-free survival was 7.3 months (95% CI 6.3-46.5) in patients with low risk, 6.4 months (95% CI 5.3-8.0) in patients with medium risk ,and 4.9 months (95% CI 4.3-5.5) in patients with high risk (HR 1, 1.07, 1.47 respectively; p = 0.0009).

CONCLUSION

The lenvatinib prognostic index confirms its prognostic value on an external cohort of hepatocellular carcinoma patients treated with Lenvatinib.

New indexes derived from routine blood tests and their clinical application in hepatocellular carcinoma

Considerable efforts have been made in the diagnosis and treatment of hepatocellular carcinoma (HCC), but the prognosis of patients with HCC remains poor. The development of officious and easy-to-use indicators that are applicable to all levels of hospitals for the diagnosis, prognosis and risk prediction of HCC may play an important role in improving the current undesirable situation. The occurrence of HCC can cause a series of local and systemic changes, involving liver function, inflammation, immunity, and nutrition, which can be reflected in routine clinical indicators, especially laboratory metrics. A comprehensive analysis of these routine indicators is capable of providing important information for the clinical management of HCC. Routine clinical indicators are daily medical data that are readily available, easily repeatable, and highly acceptable, which has attracted clinicians to derive a number of comprehensive indexes from routine clinical indicators by means of four arithmetic operations, scoring system, and mathematical modeling. These indexes integrate several clinical indicators into a new single indicator that performs better than any of original individual indicators in the risk prediction, clinical diagnosis and prognostic evaluation of HCC and is easy to use. Herein, we reviewed recent indexes derived from routine clinical indicators for the diagnosis, prognosis and risk prediction of HCC.

Prognostic model of immune checkpoint inhibitors combined with anti-angiogenic agents in unresectable hepatocellular carcinoma

Background

The combination of immune checkpoint inhibitors (ICIs) and anti-angiogenic agents has shown promising efficacy in unresectable hepatocellular carcinoma (HCC), but until now no clinical prognostic models or predictive biomarkers have been established.

Methods

From 2016 to 2021, a total of 258 HCCs treated with ICIs and tyrosine kinase inhibitors (TKIs) were retrospectively enrolled, as the study cohort. Patients' baseline data was extracted by least absolute and shrinkage selection operator (LASSO) and Cox regression. Finally, a prognostic model in the form of nomogram was developed. Model performance was assessed in terms of discrimination, calibration, and clinical utility. A 5-fold cross-validation was used to evaluate the internal repeatability of the model. In addition, the patient cohort was divided into three subgroups according to nomogram scores. Their survivals were estimated by Kaplan-Meier methods and the differences were analyzed using log-rank tests.

Results

Seven clinical parameters were selected: Eastern Cooperative Oncology Group performance status (ECOG PS), combination of transarterial chemoembolization (TACE), extrahepatic metastasis (EHM), platelet to lymphocyte ratio (PLR), alanine aminotransferase (ALT), alpha-fetoprotein (AFP), and Child-Pugh score. The model had an area under the curve (AUC) of 0.777 at 1 year and 0.772 at 2 years. Receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) showed that the discrimination, consistency and applicability of the model were good. In addition, cross-validation validated the discrimination of the model, and the C index value of the model is 0.7405. The median overall survival (OS) of the high-, medium- and low-risk subgroups was 7.58, 17.50 and 53.17 months, respectively, with a significant difference between the groups (P < 0.0001).

Conclusion

We developed a comprehensive and simple prognostic model for the combination of ICIs plus TKIs. And it may predict the efficacy of the combination regimen for unresectable HCC.

Prognostic models for outcome prediction in patients with advanced hepatocellular carcinoma treated by systemic therapy: a systematic review and critical appraisal

Objective

To describe and analyze the predictive models of the prognosis of patients with hepatocellular carcinoma (HCC) undergoing systemic treatment.

Design

Systematic review.

Data sources

PubMed and Embase until December 2020 and manually searched references from eligible articles.

Eligibility criteria for study selection

The development, validation, or updating of prognostic models of patients with HCC after systemic treatment.

Results

The systematic search yielded 42 eligible articles: 28 articles described the development of 28 prognostic models of patients with HCC treated with systemic therapy, and 14 articles described the external validation of 32 existing prognostic models of patients with HCC undergoing systemic treatment. Among the 28 prognostic models, six were developed based on genes, of which five were expressed in full equations; the other 22 prognostic models were developed based on common clinical factors. Of the 28 prognostic models, 11 were validated both internally and externally, nine were validated only internally, two were validated only externally, and the remaining six models did not undergo any type of validation. Among the 28 prognostic models, the most common systemic treatment was sorafenib (n = 19); the most prevalent endpoint was overall survival (n = 28); and the most commonly used predictors were alpha-fetoprotein (n = 15), bilirubin (n = 8), albumin (n = 8), Child–Pugh score (n = 8), extrahepatic metastasis (n = 7), and tumor size (n = 7). Further, among 32 externally validated prognostic models, 12 were externally validated > 3 times.

Conclusions

This study describes and analyzes the prognostic models developed and validated for patients with HCC who have undergone systemic treatment. The results show that there are some methodological flaws in the model development process, and that external validation is rarely performed. Future research should focus on validating and updating existing models, and evaluating the effects of these models in clinical practice.

Systematic review registration

PROSPERO CRD42020200187.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09841-5.

Early Predictive Value of Circulating Biomarkers for Sorafenib in Advanced Hepatocellular Carcinoma

INTRODUCTION

Sorafenib is currently the first-line therapeutic regimen for patients with advanced hepatocellular carcinoma (HCC). However, many patients did not experience any benefit and suffered extreme adverse events and heavy economic burden. Thus, the early identification of patients who are most likely to benefit from sorafenib is needed.

AREAS COVERED

This review focused on the clinical application of circulating biomarkers (including conventional biomarkers, immune biomarkers, genetic biomarkers, and some novel biomarkers) in advanced HCC patients treated with sorafenib. An online search on PubMed, Web of Science, Embase, and Cochrane Library was conducted from the inception to Aug 15, 2021. Studies investigating the predictive or prognostic value of these biomarkers were included.

EXPERT OPINION

The distinction of patients who may benefit from sorafenib treatment is of utmost importance. The predictive roles of circulating biomarkers could solve this problem. Many biomarkers can be obtained by liquid biopsy, which is a less or non-invasive approach. The short half-life of sorafenib could reflect the dynamic changes of tumor progression and monitor the treatment response. Circulating biomarkers obtained from liquid biopsy resulted as a promising assessment method in HCC, allowing for better treatment decisions in the near future.

Combination of Tertiary Lymphoid Structure and Neutrophil-to-Lymphocyte Ratio Predicts Survival in Patients With Hepatocellular Carcinoma

Background

Hepatocellular carcinoma (HCC) is the most common pathological type of primary liver cancer. The lack of prognosis indicators is one of the challenges in HCC. In this study, we investigated the combination of tertiary lymphoid structure (TLS) and several systemic inflammation parameters as a prognosis indicator for HCC.

Materials and Methods

We retrospectively recruited 126 postoperative patients with primary HCC. The paraffin section was collected for TLS density assessment. In addition, we collected the systemic inflammation parameters from peripheral blood samples. We evaluated the prognostic values of those parameters on overall survival (OS) using Kaplan-Meier curves, univariate and multivariate Cox regression. Last, we plotted a nomogram to predict the survival of HCC patients.

Results

We first found TLS density was positively correlated with HCC patients’ survival (HR=0.16, 95% CI: 0.06 − 0.39, p < 0.0001), but the power of TLS density for survival prediction was found to be limited (AUC=0.776, 95% CI:0.772 − 0.806). Thus, we further introduced several systemic inflammation parameters for survival analysis, we found neutrophil-to-lymphocyte ratio (NLR) was positively associated with OS in univariate Cox regression analysis. However, the combination of TLS density and NLR better predicts patient’s survival (AUC=0.800, 95% CI: 0.698-0.902, p < 0.001) compared with using any single indicator alone. Last, we incorporated TLS density, NLR, and other parameters into the nomogram to provide a reproducible approach for survival prediction in HCC clinical practice.

Conclusion

The combination of TLS density and NLR was shown to be a good predictor of HCC patient survival. It also provides a novel direction for the evaluation of immunotherapies in HCC.

Comparison Between Neutrophil-Lymphocyte Ratio and Systemic Immune-Inflammation Index as Predictors of One-Year Survival in Patients with Untreated Advanced Hepatocellular Carcinoma

BACKGROUND

Patients with hepatocellular carcinoma (HCC) generally only come for treatment when cancer has reached an advanced stage, with very limited treatment options. There has not been an accurate predictor marker to be able to identify which group of patients may have better survival. This study wanted to analyze the role of the inflammatory status indices as predictors of 1-year survival in patients with advanced HCC who did not undergo therapy.

METHODS

This study has a retrospective cohort design using secondary data on subjects with advanced HCC who did not undergo therapy at Cipto Mangunkusumo Hospital and Dharmais Hospital. The neutrophil-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) were evaluated for their role as predictors of 1-year survival based on the area under receiving operator curve (AUROC). The best optimal cut-off for NLR and SII was decided based on the Youden index, followed by survival analysis based on those cut-offs. Confounding factors were analyzed with multivariate cox regression analysis.

RESULTS

A total of 196 subjects were included in the data analysis. One-year survival was 6.6%, with a median survival of 56 days (95% CI: 46-67). The NLR had a discriminatory ability based on AUROC of 0.667 (95% CI: 0.536-0.798; p = 0.044), with the optimal cut-off point to differentiate survival was 3.7513. The SII has a discriminatory ability based on AUROC of 0.766 (95% CI: 0.643-0.889; p = 0.001), with the optimal cut-off point to distinguish survival was 954.4782. SII had superiority in discriminatory ability (p = 0.0415).

CONCLUSIONS

The discriminatory ability based on AUROC of SII was better than that of NLR in predicting 1-year survival in patients with advanced HCC who did not undergo therapy.

Identification of Regorafenib Prognostic Index (REP Index) via Recursive Partitioning Analysis in Patients with Advanced Hepatocellular Carcinoma Receiving Systemic Treatment: A Real-World Multi-Institutional Experience

BACKGROUND

The results of the pivotal RESORCE trial led to the approval of the tyrosine kinase inhibitor regorafenib as second-line treatment in advanced hepatocellular carcinoma (HCC) after sorafenib failure. Data about prognostic factors in a second-line HCC setting are scarce.

OBJECTIVE

The aim of the present study was to investigate prognostic factors in a cohort of patients with advanced HCC treated with regorafenib after progressing on sorafenib.

METHODS

We retrieved the data of 259 patients affected by advanced HCC treated with regorafenib as second-line treatment from four different Italian institutions and one South Korean institution and performed a recursive partitioning analysis to build a score system.

RESULTS

At the first-step univariate analysis for overall survival (OS), alkaline phosphatase (ALP) was the most significant parameter and was chosen as the first node in our tree model. In the subpopulation of patients presenting with ALP ≤122 U/L (n=155) at baseline, the most statistically significant split was by progression-free survival (PFS) on previous sorafenib treatment, between patients with a PFS ≥ 6 months (n  =  59) and patients with a PFS < 6 months (n = 96). In the subpopulation of patients with ALP ≤ 122 U/L and PFS to sorafenib ≥ 6 months, the final split was determined between patients with hepatitis B virus (HBV)-related liver disease (n = 22) and patients with no HBV-related liver disease (n = 37). In the subpopulation of patients presenting ALP >122 U/L (n = 104) at baseline, the most statistically significant split was by aspartate aminotransferase (AST) value, between patients with AST ≤ 56 U/L (n = 48) and patients with AST > 56 U/L (n = 56). We built the Regorafenib Prognostic Index (REP index) stratifying the population into "low-risk," "medium-risk," and "high-risk" groups. The difference in median OS between the three risk groups was statistically significant, being 20.8 months (95% confidence interval [CI] 10.0-46.3) in the "low-risk" group, 8.4 months (95% CI 7.2-1435.8) in the "medium-risk" group, and 5.5 months (95% CI 3.5-13.2) in the "high risk" group. The median PFS was 7.7 months (95% CI 3.7-19.3), 2.5 months (95% CI 2.1-28.8), and 2.4 months (95% CI 1.6-9.1) for the "low-risk," "medium-risk," and "high-risk" groups, respectively.

CONCLUSION

The REP index is an independent prognostic factor for OS and PFS in patients with advanced HCC treated with regorafenib.

Prognostic Impact of Monocyte to Lymphocyte Ratio in Clinical Outcome of Patients with Hepatocellular Carcinoma: A Systematic Review and Meta-analysis

Background:

Lymphocyte to monocyte ratio (LMR) is a surrogate marker of systemic inflammation which is shown to be related to the patient’s survival in multiple malignancies. An important implication of this marker potentially is neoplasms in which there is no correlation between prognosis and histopathological staging and also has no reliable chemical markers associated with prognosis. Herein, this meta-analysis aimed to investigate the prognostic role of LMR in patients with hepatocellular carcinoma (HCC).

Materials and Methods:

In the current systemic review and meta-analysis, we conducted a systemic search of databases and indexing sources, including PubMed, EMBASE, Cochrane, Scopus, and ProQuest up to May 2019 toinclude studies on the prognostic significance of LMR on patients with HCC. Overall survival (OS), disease-free survival (DFS) and recurrence-free survival (RFS) values were extracted from the studies and analyzed. The pooled hazard ratio with a 95% confidence interval was explored to identify the prognostic value of the LMR in the survival of the patients with HCC.

Results:

A total of 12 studies with a total sample size of 3750 cases were included. There was significant heterogeneity among the studies; therefore, subgroup analysis was also performed. Overall analysis regarding OS showed an insignificant relationship between LMR and patient’s prognosis, dividing to subgroups based on LMR cut-offs did not yield any significant result, subgroup analysis for RFS founded statistically significant results and LMR was significantly related to DFS.

Conclusion:

High LMR was associated with increased DFS and RFS, in return this association was not observed for OS.

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

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.

Identification of lenvatinib prognostic index via recursive partitioning analysis in advanced hepatocellular carcinoma

BACKGROUND

After the advent of new treatment options for advanced hepatocellular carcinoma (HCC), the identification of prognostic factors is crucial for the selection of the most appropriate therapy for each patient.

PATIENTS AND METHODS

With the aim to fill this gap, we applied recursive partitioning analysis (RPA) to a cohort of 404 patients treated with lenvatinib.

RESULTS

The application of RPA resulted in a classification based on five variables that originated a new prognostic score, the lenvatinib prognostic index (LEP) index, identifying three groups: low risk [patients with prognostic nutritional index (PNI) >43.3 and previous trans-arterial chemoembolization (TACE)]; medium risk [patients with PNI >43.3 but without previous TACE and patients with PNI <43.3, albumin-bilirubin (ALBI) grade 1 and Barcelona Clinic Liver Cancer stage B (BCLC-B)]; high risk [patients with PNI <43.3 and ALBI grade 2 and patients with PNI <43.3, albumin-bilirubin (ALBI) grade 1 and Barcelona Clinic Liver Cancer stage C (BCLC-C)]. Median overall survival was 29.8 months [95% confidence interval (CI) 22.8-29.8 months] in low risk patients (n = 128), 17.0 months (95% CI 15.0-24.0 months) in medium risk (n = 162) and 8.9 months (95% CI 8.0-10.7 months) in high risk (n = 114); low risk hazard ratio (HR) 1 (reference group), medium risk HR 1.95 (95% CI 1.38-2.74), high risk HR 4.84 (95% CI 3.16-7.43); P < 0.0001. The LEP index was validated in a cohort of 127 Italian patients treated with lenvatinib. While the same classification did not show a prognostic value in a cohort of 311 patients treated with sorafenib, we also show a possible predictive role in favor of lenvatinib in the low risk group.

CONCLUSIONS

LEP index is a promising, easy-to-use tool that may be used to stratify patients undergoing systemic treatment of advanced HCC.

The value of preoperative systemic immune-inflammation index in predicting vascular invasion of hepatocellular carcinoma: a meta-analysis

Vascular invasion and systemic immune-inflammation index (SII) are risk factors for the prognosis of patients with hepatocellular carcinoma. At present, the correlation between the two is not clear. This meta-analysis explored the relationship between preoperative SII and vascular invasion in patients with hepatocellular carcinoma. According to the search formula, the Pubmed, Embase, Cochrane, Web of Science, and CNKI databases were searched for the relevant research until March 2020. After the quality evaluation of the included literature, the odds ratio (OR) and its corresponding 95% confidence interval (CI) were used as the effect measure. Stata 15. 0 software was used for statistical analysis. The meta-analysis eventually included seven retrospective cohort studies of 3583 patients with hepatocellular carcinoma. The results showed that the choice of SII cut-off value affects SII's efficiency in predicting the risk of vascular invasion. In the cohort of studies with appropriate SII cut-off value, the high SII preoperative group had a higher risk of vascular invasion (OR=2.62; 95%CI: 2.07-3.32; P=0.000) and microvascular invasion (OR=1.82; 95%CI: 1.01-3.25; P=0.045) than the low SII group. The tumor diameter (OR=2.88; 95%CI: 1.73-4. 80; P=0.000) of the high SII group was larger than that of the low SII group. There was no publication bias in this study (Begg's test, P=0.368). As a routine, cheap, and easily available index, SII can provide a certain reference value for clinicians to evaluate vascular invasion before operation.

Prognostic Roles of Blood Inflammatory Markers in Hepatocellular Carcinoma Patients Taking Sorafenib. A Systematic Review and Meta-Analysis

Objective: The purpose of this meta-analysis is to investigate the effectiveness of the prognostic roles of blood inflammatory markers in hepatocellular carcinoma (HCC) patients receiving sorafenib.

Methods: We carried out a comprehensive literature search in four databases. Study endpoints, hazard ratios (HRs) and the associated 95% confidence intervals (CI) for clinical outcomes, which were to assess therapeutic efficacy, were extracted. This meta-analysis was conducted by Review Manager 5.3.

Results: We summarized the available evidence from 18 studies with a total of 2,745 cases. The pooled results showed that the synthesized HR favored patients with low pretreatment NLR (neutrophil-to-lymphocyte ratio), which also indicated that HCC patients with a lower baseline NLR may have a better response to sorafenib than those with higher NLR (HR = 1.76, 95% CI [1.44, 2.15], P < 0.00001, I² = 68%). Significance was also observed for the prognostic function of the PLR (platelet-to-lymphocyte ratio) of HCC patients treated with sorafenib (HR = 1.49, 95% CI [1.16, 1.93], P = 0.002, I² = 0%, P = 0.65). The subgroup analysis revealed that different gene backgrounds play a prominent role in the source of heterogeneity. Interestingly, the predictive effect on OS (overall survival) was more pronounced as the NLR cutoff value increased. Notably, a significant predictive effect of NLR on the clinical outcome was detected in HCC patients treated with sorafenib compared to those treated with tivantinib.

Conclusion: In conclusion, the present study reported promising predictive biomarkers for HCC patients and notably indicated that HCC patients with a lower baseline NLR and PLR may have a better response to sorafenib than those with higher ones. Further large-scale prospective studies are required to determine the optimal NLR and PLR cutoff values, which are important for identifying the dominant populations for sorafenib treatment.

Prognostic impact of elevated pre-treatment systemic immune-inflammation index (SII) in hepatocellular carcinoma: A meta-analysis

BACKGROUND

There is a growing literature on the significance of systemic immune-inflammation index in hepatocellular carcinoma. However, the results were inconsistent due to the small sample size and different study endpoints. Therefore, the purpose of this study was to further systematically and comprehensively verify the prognostic role of the SII in HCC.

METHODS

Several databases were searched systematically, and relevant papers were selected. The main outcome measure was overall survival (OS); the secondary outcome measure was a composite of time to recurrence (TTR), progression-free survival (PFS), and recurrence-free survival (RFS).

RESULTS

Ten published retrospective studies involving 2796 HCC patients were included. The results revealed that elevated pre-treatment SII was related to lower OS (HR:1.54, P < .001) and earlier TTR (HR:1.77, P < .001).

CONCLUSIONS

Elevated SII is a poor prognostic factor for patients with hepatocellular carcinoma. The clinical application of SII is encouraged to evaluate the progress of hepatocellular carcinoma.

Skeletal muscle mass is associated with toxicity, treatment tolerability, and additional or subsequent therapies in patients with hepatocellular carcinoma receiving sorafenib treatment

BACKGROUND AND AIM

Several reports have demonstrated that skeletal muscle mass influences mortality in patients with hepatocellular carcinoma (HCC) receiving sorafenib treatment; however, there is still controversy with regard to whether skeletal muscle and adipose tissue are associated with the prognosis in HCC patients. We examined the relationship between body composition and prognosis in HCC patients.

METHODS

We retrospectively analyzed 82 patients with unresectable HCC receiving sorafenib treatment. The skeletal muscle area and adipose tissue area were measured by computed tomography. Patients with low skeletal muscle index (male ≤36.2 cm2/m2, female ≤29.6 cm2/m2) and high visceral to subcutaneous adipose tissue area ratio (VSR) (male ≥ 1.33, female ≥ 0.93) were diagnosed as low skeletal muscle mass (LSMM) and high VSR, respectively.

RESULTS

A total of 16 and 34 patients were classified as LSMM and high VSR, respectively. LSMM patients frequently experienced serious adverse events (SAEs) and thus had a shorter duration of sorafenib treatment than non-LSMM patients. High VSR was a significant factor for progression-free survival. LSMM patients less frequently received additional/subsequent therapies combined with sorafenib than non-LSMM patients. Multivariate Cox hazard analysis demonstrated that LSMM was a significant factor for the duration of sorafenib treatment. The treatment duration and receiving of additional/subsequent therapies were significantly associated with overall survival (OS) but not with LSMM or high VSR.

CONCLUSION

LSMM was associated with the frequency of SAEs, treatment tolerability, and treatment duration. LSMM patients were less likely to receive additional/subsequent therapies than non-LSMM patients. Thus, LSMM could identify a subgroup of patients with poor OS.

Prognostic significance of peripheral blood-derived neutrophil/lymphocyte ratio in patients with digestive cancer

Accumulating studies reported the clinical value of derived neutrophil/lymphocyte ratio (dNLR) regarding the prediction of survival outcomes in digestive cancers, however, the prognostic significances of dNLR in these cancers were inconsistent. This study was carried out to clarify the relationship between circulating dNLR and prognosis in gastrointestinal (GI) cancers. Eligible publications were collected and extracted by searching Pubmed, Embase, Web of Science, and Google Scholar up to November 21, 2018. The prognostic impact of dNLR in subjects with GI cancers was assessed with the overall hazard ratios (HRs). A total of 26 studies with up to 13,945 participants were recruited. Our findings showed that peripheral blood dNLR before treatment could be a useful prognostic predictor in digestive cancers, an elevated dNLR indicated a shorter overall survival (OS) in GI tumors (HR, 1.44; 95% confidence interval [CI], 1.36-1.51). Furthermore, its significant prognostic value for OS was also confirmed in subgroup analyses stratified by disease type, publication year, type of research, detection method, geographic location, cut-off value, treatment, analysis type, follow-up time and disease stage. In addition, high dNLR was significantly associated with worse cancer-specific survival (HR, 1.25; 95% CI, 1.04-1.47) and inferior event-free survival (HR, 1.22; 95% CI, 1.11-1.33) in patients with digestive cancers. Our study showed elevated peripheral blood dNLR may indicate unfavorable outcomes in digestive cancer.

Prognostic value of pretreatment systemic immune-inflammation index in patients with gastrointestinal cancers

BACKGROUND

Numerous studies have reported the relationship between systemic immune-inflammation index (SII) and prognosis in gastrointestinal (GI) cancers, but no consensus has been reached. We aimed to systematically evaluate the prognostic value of SII in patients with GI cancers.

METHODS

Relevant published papers regarding the prognostic value of SII in patients with GI cancers were obtained from a number of electronic databases. The overall hazard ratios and the corresponding 95% confidence intervals (95% CIs) were calculated using a fixed or random effects model to assess the relationship between SII and prognosis through Stata SE 12.0.

RESULTS

A total of 24 eligible published articles with 9,626 patients were included. From the pooled results, we found that high SII indicated worse overall survival (OS) in patients with GI cancers (HR = 1.52, 95%CI: 1.29-1.74). And patients with high SII had poorer disease-free survival (HR: 2.28, 95% CI: 1.46-3.10), time to recurrence (HR: 1.70, 95% CI: 1.11-2.30), and recurrence-free survival (HR: 1.60, 95% CI: 1.19-2.00) when compared with those with low SII values.

CONCLUSIONS

SII might serve as a noninvasive and powerful tool for predicting survival outcome in patients with GI cancers.

Prognostic value of Systemic immune-inflammation index in cancer: A meta-analysis

Systemic immune-inflammation index (SII), on the basis of lymphocyte, neutrophil and platelet counts had been published to be a good prognostic factor in multiple cancers. Nevertheless, the prognostic value of SII in cancer patients remains inconsistent. Therefore, we carried out a meta-analysis to evaluate the prognostic value of SII in these patients with cancer. A total of 22 articles with 7657 patients enrolled in this meta-analysis. The combined result revealed that a high SII was evidently correlated with poor overall survival (OS) (HR=1.69, 95%CI=1.42-2.01, p<0.001), poor time to recurrent (TTR) (HR=1.87, p<0.001) , poor progress-free survival (PFS) (HR=1.61, p=0.012) ,poor cancer-specific survival (CSS) (HR=1.44, p=0.027) , poor relapse-free survival (RFS) (HR=1.66, p=0.025) and poor disease-free survival (DFS) (HR=2.70, p<0.001) in patients with cancers. Subgroup analysis indicated that SII over the cutoff value could predict worse overall survival in Hepatocellular carcinoma (p<0.001), Gastric cancer (p=0.005), Esophageal Squamous Cell Carcinoma (p=0.013), Urinary system cancer (p<0.001), Small cell lung cancer (p<0.001), Non-Small cell lung cancer (p<0.001) and Acral Melanoma (p<0.001). The largest effect size was observed in the Hepatocellular carcinoma (HR=2.11). In addition, these associations did not vary significantly by the cutoff value, sample size and ethnicity. Therefore, high SII may be a potential prognostic marker in patients with various cancers and associated with the poor overall outcomes.