Significance of platelet count and platelet-based models for hepatocellular carcinoma recurrence

Predictive value of hematological parameters in cirrhotic patients with open umbilical hernia repair

PURPOSE

Patients with liver cirrhosis sometimes suffer from high recurrence rates and postoperative complications. We previously reported that platelet-related hematological parameters are associated with the outcomes after incisional herniorrhaphy, and aim to evaluate the predictive value of these criteria in cirrhotic patients undergoing open umbilical herniorrhaphy.

METHODS

This is a retrospective study. The data of 95 cirrhotic patients undergoing open umbilical herniorrhaphy were analyzed. Patients were grouped based on the recurrence and defined hematological values. Platelet-multiple-lymphocyte index (PLM), neutrophil-leukocyte ratio, lymphocyte-monocyte ratio, platelet-neutrophil ratio, systemic immune-inflammation index, and aspartate aminotransferase-leukocyte ratio values were calculated based on preoperative blood analyses. The outcomes were obtained from hospital records and follow-up calls to patients.

RESULTS

Using cutoff values acquired by the Youden Index, we found a PLM value < 27.9, and the history of inguinal herniorrhaphy were revealed to be statistically significant in the recurrence based on univariant and multivariant analyses (p < 0.05). We further divided patients into two groups based on the cutoff value of PLM and found that a PLM value < 27.9 was significantly associated with the recurrence of incisional hernias (p = 0.018) and the occurrence of postoperative foreign sensation (p = 0.044), and tended to result in other postoperative complications such as cardiopathy, respiratory infection, hypoproteinemia, and hepatic diseases (p = 0.089).

CONCLUSION

The preoperative hematological values, especially PLM, may indicate the outcomes in cirrhotic patients after open umbilical herniorrhaphy. Accurate identification of risks may alert the intraoperative and postoperative care for patients.

Preoperative inflammatory markers as prognostic predictors after hepatocellular carcinoma resection: data from a western referral center

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; 95%CI 1.499–6.121; P = 0.002].

Conclusion

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.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12893-022-01779-6.

Prognosis and Risk Factors of Recurrence in HBV-Related Small Hepatocellular Carcinoma After Stereotactic Body Radiation Therapy

Objective

The role of stereotactic body radiation therapy (SBRT) for treating small hepatocellular carcinoma (sHCC) has gained increasing recognition. However, the prognosis and risk factors for recurrence in patients with sHCC remain unclear. This study investigated the risk factors for the recurrence of hepatitis B virus (HBV)-related sHCC after SBRT.

Methods

A total of 240 HBV-related sHCC patients treated with SBRT between March 2011 and March 2020 were retrospectively analyzed. The cumulative probability of recurrence was calculated according to the Kaplan–Meier method. Univariate and multivariate analyses were performed with Cox proportional hazard models.

Results

Recurrent hepatocellular carcinoma developed in 134 (55.8%) patients at a median time of 27 months after SBRT. The one- and two-year rates of recurrence were 20.9 and 45.0%, respectively. The median follow-up time was 30 months. The Cox multivariate analysis indicated that age (P = 0.029, HR [1.019, 1.002–1.037]), tumor size (P = 0.012, HR [1.227, 1.045–1.440]), and aspartate aminotransferase-to-platelet ratio index (APRI) (P = 0.005, HR [1.911, 1.221–2.989]) were independent risk factors for recurrence.

Conclusion

Patients receiving SBRT for HBV-related sHCC may be at greater risk of recurrence if they have a high APRI score combined with advanced age and large tumor size.

HCC-Mark: a simple non-invasive model based on routine parameters for predicting hepatitis C virus related hepatocellular carcinoma

BACKGROUND

Early detection of hepatocellular carcinoma (HCC) is crucial in providing more effective therapies. As routine laboratory variables are readily accessible, this study aimed to develop a simple non-invasive model for predicting hepatocellular cancer.

METHODS

Two groups of patients were recruited: an estimation group (n = 300) and a validation group (n = 625). Each comprised two categories: hepatocellular cancer and liver cirrhosis. Logistic regression analyses and receiver operating characteristic (ROC) curves were used to develop and validate the HCC-Mark model comprising AFP, high-sensitivity C-reactive protein, albumin and platelet count. This model was tested in cancer patients classified by the Barcelona Clinic Liver Cancer (BCLC), Cancer of Liver Italian Program (CLIP) and Okuda systems, and was compared with other non-invasive models for predicting hepatocellular cancer.

RESULTS

HCC-Mark produced a ROC AUC of 0.89 (95% CI 0.85-0.90) for discriminating hepatocellular carcinoma from liver cirrhosis in the estimation group and 0.90 (0.86-0.90) in the validation group (both p < 0.0001). This AUC exceeded all other models, that had AUCs from 0.41 to 0.81. AUCs of HCC-Mark for discriminating patients with a single focal lesion, absent macrovascular invasion, tumour size <2 cm, BCLC (0-A), CLIP (0-1) and Okuda (stage Ι) from cirrhotic patients were 0.88 (0.85-0.90), 0.87 (0.85-0.89), 0.89 (0.85-0.93), 0.87 (0.84-0.89), 0.85 (0.82-0.87) and 0.86 (0.83-0.89), respectively (all p < 0.0001).

CONCLUSION

HCC-Mark is an accurate and validated model for the detection of hepatocellular cancer and certain of its clinical features.

Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm

Objectives

To develop radiomics-based nomograms for preoperative microvascular invasion (MVI) and recurrence-free survival (RFS) prediction in patients with solitary hepatocellular carcinoma (HCC) ≤ 5 cm.

Methods

Between March 2012 and September 2019, 356 patients with pathologically confirmed solitary HCC ≤ 5 cm who underwent preoperative gadoxetate disodium–enhanced MRI were retrospectively enrolled. MVI was graded as M0, M1, or M2 according to the number and distribution of invaded vessels. Radiomics features were extracted from DWI, arterial, portal venous, and hepatobiliary phase images in regions of the entire tumor, peritumoral area ≤ 10 mm, and randomly selected liver tissue. Multivariate analysis identified the independent predictors for MVI and RFS, with nomogram visualized the ultimately predictive models.

Results

Elevated alpha-fetoprotein, total bilirubin and radiomics values, peritumoral enhancement, and incomplete or absent capsule enhancement were independent risk factors for MVI. The AUCs of MVI nomogram reached 0.920 (95% CI: 0.861–0.979) using random forest and 0.879 (95% CI: 0.820–0.938) using logistic regression analysis in validation cohort (n = 106). With the 5-year RFS rate of 68.4%, the median RFS of MVI-positive (M2 and M1) and MVI-negative (M0) patients were 30.5 (11.9 and 40.9) and > 96.9 months (p < 0.001), respectively. Age, histologic MVI, alkaline phosphatase, and alanine aminotransferase independently predicted recurrence, yielding AUC of 0.654 (95% CI: 0.538–0.769, n = 99) in RFS validation cohort. Instead of histologic MVI, the preoperatively predicted MVI by MVI nomogram using random forest achieved comparable accuracy in MVI stratification and RFS prediction.

Conclusions

Preoperative radiomics-based nomogram using random forest is a potential biomarker of MVI and RFS prediction for solitary HCC ≤ 5 cm.

Key Points

• The radiomics score was the predominant independent predictor of MVI which was the primary independent risk factor for postoperative recurrence.

• The radiomics-based nomogram using either random forest or logistic regression analysis has obtained the best preoperative prediction of MVI in HCC patients so far.

• As an excellent substitute for the invasive histologic MVI, the preoperatively predicted MVI by MVI nomogram using random forest (MVI-RF) achieved comparable accuracy in MVI stratification and outcome, reinforcing the radiologic understanding of HCC angioinvasion and progression.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00330-020-07601-2.

Mean platelet volume and platelet distribution width serve as prognostic biomarkers in skull base chordoma: a retrospective study

Background

Increasing studies have demonstrated that activated platelets play an essential role in tumour progression. However, the level and prognostic role of platelet indices in chordoma patients remain unclear. The aim of the current study was to characterize the prognostic performance of platelet count (PLT), mean platelet volume (MPV) and platelet distribution width (PDW) in skull base chordoma patients.

Methods

187 primary skull base chordoma patients between January 2008 and September 2014 were enrolled in this retrospective study. The optimal cut-off values were determined by X-tile software, and the correlations between PLT, MPV, PDW and clinicopathological features were further analysed. Kaplan-Meier curve and Cox regression analysis were used for survival analysis.

Results

The values of preoperative PTL, MPV and PDW ranged from 104 to 501 × 10⁹/L, 6.7 to 14.2 fl, and 7.8 to 26.2%, respectively. Elevated PLT was associated with larger tumour volume (p = 0.002). Kaplan-Meier survival analysis revealed that increased MPV and PDW were associated with shorter overall survival (p = 0.022 and 0.008, respectively). Importantly, multivariate Cox analysis demonstrated that elevated PDW was an independent unfavourable predictive factor for overall survival (hazard ratio (HR), 2.154, 95% confidence interval (CI), 1.258–3.688, p = 0.005).

Conclusions

Our data show that elevated MPV and PDW are associated with poor outcomes in skull base chordoma and that PDW may be helpful to identify patients with high risk.

Clinical Significance of Systemic Inflammation Markers in Newly Diagnosed, Previously Untreated Hepatocellular Carcinoma

This study aimed to investigate the clinical significance of systemic inflammation markers (SIMs)-including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR)-in patients with newly diagnosed, previously untreated hepatocellular carcinoma (HCC). The present study was performed using prospectively collected registry data of newly diagnosed, previously untreated HCC from a single institution. The training set included 6619 patients from 2005 to 2013 and the validation set included 2084 patients from 2014 to 2016. The SIMs as continuous variables significantly affected the overall survival (OS), and the optimal cut-off value of NLR, PLR, and LMR was 3.0, 100.0, and 3.0, respectively. There were significant correlations between SIMs and the albumin-bilirubin grade/Child-Turcotte-Pugh class (indicative of liver function status) and the staging system/portal vein invasion (indicative of the tumor burden). The OS curves were well stratified according to the prognostic model of SIMs and validated using the bootstrap method (1000 times, C-index 0.6367, 95% confidence interval (CI) 0.6274-0.6459) and validation cohort (C-index 0.6810, 95% CI 0.6570-0.7049). SIMs showed significant prognostic ability for OS, independent of liver function and tumor extent, although these factors were significantly correlated with SIMs in patients with newly diagnosed, previously untreated HCC.

Relationship between platelet-based models and the prognosis of patients with malignant hepatic tumors

Platelets (PLTs) are involved in tumor growth, metabolism and vascular activation. PLT-based models have been reported to have significant value on the recurrence of malignant hepatic tumors. The present study aimed to investigate the effect of PLT count and 18 PLT-based models on the prognosis of patients with malignant hepatic tumors. The clinical data from 189 patients with malignant hepatic tumors were retrospectively analyzed and used to calculate the scores of the 18 PLT-based models. Receiver operating characteristic curve was used to determine the suitable cut-off values of mortality and recurrence in patients with malignant hepatic tumors. The overall survival and cumulative recurrence rates of patients were calculated using Kaplan-Meier survival curves and the difference was analyzed using log-rank test. Multivariate analysis was performed to determine the independent risk factors of recurrence-free survival and overall survival. In the present study, 11 models were considered as predictors of mortality (P<0.05) and six models were considered as predictors of recurrence (P<0.05). The results from multivariate analysis demonstrated that vascular cancer embolus, uric acid >231 µmol/l, hemoglobin >144 g/l and the Lok index model >0.695 were considered as independent risk factors of mortality (P<0.05). Furthermore, vascular cancer embolus, PLT to lymphocyte ratio (PLR) >175 and fibrosis-4 (FIB-4) >4.82 were independent factors of recurrence (P<0.05). In addition, the results from this study indicated that the Lok-index could be considered as a predictor of the overall survival rate. In conclusion, the FIB-4 and PLR model may be valuable for predicting the recurrence-free rate of patients with malignant hepatic tumors.

Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma

PURPOSE

To appraise the ability of the computed tomography (CT) radiomics signature for prediction of early recurrence (ER) in patients with hepatocellular carcinoma (HCC).

METHODS

A set of 325 HCC patients were enrolled in this retrospective study and the whole dataset was divided into 2 cohorts, including "training set" (225 patients) and "test set" (100 patients). All patients who underwent partial hepatectomy were followed up at least within 1 year. 656 Radiomics features were extracted from arterial-phase and portal venous-phase CT images. Lasso regression model was used for data dimension reduction, feature selection, and radiomics signature building. Univariate analysis was used to identify clinical and radiomics significant features. Models (radiomics signature, clinical model, and combined model) were evaluated by area under the curve (AUC) of receiver operating characteristic curve. The models' performances for prediction of ER were assessed.

RESULTS

The radiomics signature was built by 14 selected radiomics features and was significantly associated with ER (P < 0.001); the AUCs of the "train set" and the "test set" were 0.818 (95% CI 0.760-0.865) and 0.719 (95% CI 0.621-0.805), respectively. The tumor size, tumor capsule, and γ-glutamyl transferase (GGT) were significantly associated with ER in the clinical model (P < 0.05). The combined model showed incremental prognostic value, with the AUCs of "training dataset" and "test dataset" were 0.846 (95% CI 0.792-0.890) and 0.737 (95% CI 0.640-0.820), respectively. The radiomics signature, tumor size, and the level of GGT were independent predictors of ER (P < 0.05).

CONCLUSIONS

The CT radiomics signature can be conveniently used to predict the ER in patient with HCC. The combined model performed better for prediction of ER than radiomics signature or clinical model.

The preoperative platelet to albumin ratio predicts the prognosis of hepatocellular carcinoma patients without portal hypertension after liver resection

There is little information concerning the predictive ability of the preoperative platelet to albumin ratio (PAR) in hepatocellular carcinoma (HCC) patients after liver resection. In the current study, we aimed to assess the prognostic power of the PAR in HCC patients without portal hypertension (PH) following liver resection.Approximately 628 patients were included in this study. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of the PAR for both recurrence-free survival (RFS) and overall survival (OS). Univariate and multivariate analyses were used to identify the independent risk factors for both RFS and OS.During the follow-up period, 361 patients experienced recurrence, and 217 patients died. ROC curve analysis suggested that the best cut-off value of the PAR for RFS was greater than 4.8. The multivariate analysis revealed that microvascular invasion (MVI), tumor size >5 cm, high aspartate aminotransferase-to-platelet count ratio index (APRI) and high PAR were four independent risk factors for both RFS and OS. Patients with a low PAR had significantly better RFS and OS than those with a high PAR.The PAR may be a useful marker to predict the prognosis of HCC patients after liver resection. HCC patients with a high preoperative PAR had a higher recurrent risk and lower long-term survival rate than those with a low preoperative PAR.

Platelets and Hepatocellular Cancer: Bridging the Bench to the Clinics

Growing interest is recently being focused on the role played by the platelets in favoring hepatocellular cancer (HCC) growth and dissemination. The present review reports in detail both the experimental and clinical evidence published on this topic. Several growth factors and angiogenic molecules specifically secreted by platelets are directly connected with tumor progression and neo-angiogenesis. Among them, we can list the platelet-derived growth factor, the vascular endothelial growth factor, the endothelial growth factor, and serotonin. Platelets are also involved in tumor spread, favoring endothelium permeabilization and tumor cells’ extravasation and survival in the bloodstream. From the bench to the clinics, all of these aspects were also investigated in clinical series, showing an evident correlation between platelet count and size of HCC, tumor biological behavior, metastatic spread, and overall survival rates. Moreover, a better understanding of the mechanisms involved in the platelet–tumor axis represents a paramount aspect for optimizing both current tumor treatment and development of new therapeutic strategies against HCC.

Motivation for Launching a Cancer Metastasis Inhibition (CMI) Program

Metastatic cancers impose significant burdens on patients, affecting quality of life, morbidity, and mortality. Even during remission, microscopic metastases can lurk, but few therapies directly target tumor cell metastasis. Agents that interfere with this process would represent a new paradigm in cancer management, changing the 'waiting game' into a time of active prevention. These therapies could take multiple forms based on the pathways involved in the metastatic process. For example, a phenome-wide association study showed that a single nucleotide polymorphism in the gene TBXA2R is associated with increased metastasis in multiple primary cancers (P = 0.003), suggesting clinical applicability of TBXA2R antagonists. Emerging data related to the role of platelets in metastasis are concordant with our sense that these pathways present significant opportunities for therapeutic development. However, before real progress can be made toward clinical targeting of the metastatic process, foundational work is needed to define informative measures of critical elements such as circulating tumor cells and tumor DNA, and circulatory vs. lymphatic spread. These challenges require an expansion of team science and composition to obtain competitive funding. At our academic medical center, we have implemented a Cancer Metastasis Inhibition (CMI) program investigating this approach across multiple cancers.

Simplified nomograms based on platelet-associated models for survival prediction in Asian hepatocellular carcinoma patients after surgery

BACKGROUND & AIMS

Accumulating evidence showed platelets were closely related to hepatocellular carcinoma (HCC) prognosis. We here aimed to develop two simple-to-use nomograms based on the PLT-associated modified models to refine prognostic prediction of Asian HCC.

METHODS

The nomograms were established using 684 eligible Asian patients who received curative resection for HCC, among which 456 and 228 were randomly assigned to the derivation and validation cohorts, respectively. Univariate and multivariate Cox analyses in the derivation set were used to identify the independent prognostic factors of the hepatectomy patients as the nomogram variables. We evaluated the discrimination and calibration of the nomograms by concordance indexes (C-index), calibration plots and Kaplan-Meier curves. The discrimination ability of the PLT-based nomograms was compared with the conventional staging systems using time-dependent receiver operating characteristic (ROC) curves.

RESULTS

The nomogram for overall survival (OS) estimation was comprised of MPV/PC [mean platelet volume/platelet count], SII [systemic immune-inflammation index], NPS [neutrophil-platelet score], PAPAS [platelet count/age/ALP/AFP/AST index] and S index. And the nomogram for recurrence-free survival (RFS) prediction was of NPS, PAPAS and S index. The C-indexes of the OS nomogram in the derivation and validation sets were 0.704 and 0.707, and those of the RFS nomogram were 0.668 and 0.703. The calibration plots fitted well. The survival curves showed great discriminatory powers. The area under the curve (AUC) of our nomograms were significantly larger than that of the three conventional models (P < 0.05).

CONCLUSIONS

The two PLT-based nomograms were accurate in predicting the OS and RFS of Asian HCC patients after hepatectomy.

Inflammation-nutrition score predicts prognosis of patients with resectable hepatocellular carcinoma

BACKGROUND

Various inflammation-based prognostic scores have been associated with poor survival in patients with hepatocellular carcinoma (HCC).

METHODS

Data were collected retrospectively from 674 HCC patients who underwent curative resection. The correlation between INS (inflammation-nutrition score), BCLC (Barcelona Clinic Liver Cancer) stage and inflammatory indices and overall survival (OS) and disease free survival (DFS) was examined.

RESULTS

An elevated INS was associated with both tumor and host clinical characteristics. The combination of INS and BCLC stage stratifies OS and DFS from 80% and 65% (INS = 0, stage A) to 0% (INS = 2, stage C). Univariate and multivariate analyses revealed that the INS was an independent predictor for OS and DFS, and was superior to inflammation-based scores. In addition, INS was demonstrated to be a prognostic factor for patients with early stage and had a higher AUC value in comparison with inflammation scores.

CONCLUSION

This study demonstrates that the INS is an independent marker of poor prognosis in patients with resectable HCC, especially for those with early stage, and it provides complimentary prognostic information to BCLC stage, and may aid in treatment strategy.

FIB-4 index serves as a noninvasive prognostic biomarker in patients with hepatocellular carcinoma: A meta-analysis

BACKGROUND

Liver fibrosis index FIB-4 has been reported to be linked with hepatocellular carcinoma (HCC) prognosis, but the results were not consistent. This study aimed to synthetically explore the relationship between FIB-4 and clinical outcomes of HCC.

METHODS

A number of online databases were searched for relevant articles published before March 1, 2018. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated to assess the prognostic value of the FIB-4 index in patients with HCC using Stata SE 12.0.

RESULTS

Eight articles (including 10 cohort studies) with 3485 HCC patients were finally included for analysis. The pooled results showed that FIB-4 index was significantly associated with overall survival (OS) for patients with HCC (HR = 1.74, 95% CI: 1.41-2.07, P <.001). And HCC patients with higher FIB-4 score were at significantly greater risk of recurrence 1.53 (95% CI: 1.29-1.78, P <.001). Subgroup analysis based on the treatment, stage and analysis type also confirmed the prognostic values of the FIB-4 score for OS and recurrence-free survival (RFS) in HCC.

CONCLUSIONS

FIB-4 index might be a useful predictive marker in patients with HCC.

Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis

Background

The aspartate aminotransferase-to-platelet ratio index (APRI) has been correlated with clinical outcome in patients with hepatocellular carcinoma (HCC), but controversial results were obtained with previous studies. This study was aimed to evaluate the prognostic value of the APRI in patients with HCC.

Materials and methods

A literature survey was conducted by searching PubMed, Web of Science, Cochrane library, Embase, Wanfang, and National Knowledge Infrastructure for publications released prior to March 1, 2018. Pooled hazard ratios (HRs) with 95% CIs were calculated to assess the association between the APRI and HCC prognosis using Stata SE 12.0 software.

Results

Analysis was performed on a total of 15 articles that included 5,051 patients. The pooled results showed that APRI was significantly associated with overall survival for patients with HCC (HR =1.62, 95% CI: 1.23–2.01). Furthermore, HCC patients with higher APRI were at significantly greater risk of short recurrence-free survival (HR =1.83, 95% CI: 1.48–2.18) and poor disease-free survival (HR =1.46, 95% CI: 1.26–1.66).

Conclusions

APRI could serve as a promising and noninvasive marker for predicting HCC prognosis.

Fibrosis-4 Model Influences Results of Patients with Hepatocellular Carcinoma Undergoing Hepatectomy

Background

Several noninvasive models based on routine laboratory index have been developed to predict liver fibrosis. Our aim is to discuss whether these indexes could predict prognosis in patients with hepatocellular carcinoma undergoing hepatectomy.

Methods

This study retrospectively enrolled 788 consecutive hepatocellular carcinoma patients undergoing liver resection in the cohort. Univariate and multivariate analysis were used to identify the risk factors of complications, survival, and disease-free survival.

Results

Fibrosis-4 index had the best prediction ability for cirrhosis among other noninvasive models. Both the univariate and multivariate analyses showed that fibrosis-4 was independent risk factor for survival and disease-free survival. With the optimal cutoff value of 3.15, patients with fibrosis-4 ⩾3.15 had higher postoperative hepatic insufficiency (P=0.006) and worse survival than the fibrosis-4<3.15 group. The corresponding 1-year, 3-year, and 5-year overall survival were 80.9%, 56.3%, and 44.6% in the High fibrosis-4 group and were 86.5%, 69.9%, and 63.2% in the Low fibrosis-4 group, respectively (P<0.001). Worse disease-free survival was also observed in the fibrosis-4 ⩾3.15 group; the corresponding 1-year, 3-year, and 5-year disease-free survival were 74.9%, 45.3%, and 24.6% for the fibrosis-4 ⩾3.15 group and were 81.8%, 54.9%, and 34.4% for the fibrosis-4<3.15 group (P=0.009).

Conclusions

Fibrosis-4 is useful for assessing the short-term and long-term results for hepatocellular carcinoma patients with liver resection.

Nonsteroidal anti-inflammatory drugs, especially aspirin, are linked to lower risk and better survival of hepatocellular carcinoma: a meta-analysis

OBJECTIVE

The roles of nonsteroidal anti-inflammatory drugs (NSAIDs) in the occurrence and prognosis of hepatocellular carcinoma (HCC) remain controversial. This analysis aimed to summarize the relationships between NSAIDs and HCC development.

METHODS

Studies published prior to October 1, 2017, in the PubMed, Embase, Ovid, Web of Science, and Cochrane Library databases were systematically searched and analyzed.

RESULTS

Eleven studies were included in this analysis. A meta-analysis of five studies revealed that aspirin use could significantly decrease the risk of HCC occurrence (hazards ratio [HR] = 0.64, 95% confidence interval [CI] = 0.45-0.91, P = 0.014). No significant difference was found for the use of NSAIDs (six studies) and non-aspirin NSAIDs (three studies) in HCC occurrence (HR = 0.74, 95%CI = 0.53-1.02, P = 0.064 and HR = 0.98, 95%CI = 0.87-1.12, P = 0.81, respectively). However, subgroup analysis of cohort studies demonstrated that NSAIDs significantly decreased the risk of HCC occurrence (HR = 0.58, 95%CI = 0.43-0.78, P < 0.001). HCC patients who received NSAIDs achieved better disease-free survival and overall survival compared with the non-NSAID users (HR = 0.79, 95%CI = 0.74-0.84, P<0.001 and HR = 0.60, 95%CI = 0.50-0.72, P<0.001, respectively). Additionally, a meta-analysis of two studies showed that aspirin treatment in HCC patients could significantly decrease the 2-year and 4-year mortalities (rate ratio [RR] = 0.50, 95%CI = 0.36-0.69, P < 0.001 and RR = 0.67, 95%CI = 0.45-0.998, P = 0.049, respectively). A meta-analysis of two studies showed that aspirin use was not associated with a higher risk of bleeding in HCC patients (HR = 0.71, 95%CI = 0.41-1.23, P = 0.223).

CONCLUSION

The use of NSAIDs, especially aspirin, is linked to a lower risk of HCC development and better survival in HCC populations. High-quality, well-designed trials should be conducted to reevaluate the relationships between NSAIDs and HCC.

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

Background and Aims

The multikinase inhibitor sorafenib is the only currently approved drug for the indication of advanced hepatocellular carcinoma (HCC). It provides a limited gain in survival time but is frequently associated with adverse events. We currently lack simple prognostic factors in sorafenib-treated HCC patients. Various inflammation-based scores (IBSs) have been evaluated as predictors of tumor recurrence and survival in various malignancies (including HCC). The objective of the present study was to determine the prognostic value of IBSs for overall survival (OS) in advanced HCC patients prior to the initiation of sorafenib therapy.

Methods

Patients with Barcelona Clinic Liver Cancer stage C HCC were enrolled retrospectively between October 2007 and September 2015. To identify prognostic factors for OS, bivariate and multivariate analysis were performed using a Cox proportional hazards regression model.

Results

161 patients (87.0% males; median age: 67; median OS: 9.1 months) were enrolled. A multivariate analysis identified a body mass index <25kg/m² (hazard ratio (HR)=1.55, p<0.017), macroscopic vascular invasion (HR=1.63, p< 0.001), an AST level >38 U/L (HR=2.65, p<0.001), Child Pugh B stage (HR=2.59, p<0.001) and a systemic immune-inflammation index (SII) ≥600 × 10⁹ (HR 1.72, p=0.002) as independent risk factors for OS in advanced HCC.

Conclusion

IBSs (such as the SII) are novel, simple, low-cost prognostic indices in patients with advanced HCC. They may be of value in determining whether these patients may benefit from sorafenib therapy.

Thrombocytopenia and the outcomes of hepatectomy for hepatocellular carcinoma: a meta-analysis

BACKGROUND

Recently, increasing studies have revealed the association of inflammatory parameters, such as preoperative platelet count, and the prognosis of hepatocellular carcinoma (HCC). However, the link between the platelet count and the prognosis of patients with HCC after hepatic resection is still controversial.

METHODS

We searched PubMed, Web of Science, EMBASE, and CBM for relevant trials and analyzed outcomes with random-effects model. The hazard ratio (HR) and its 95% confidence interval (CI) were calculated.

RESULTS

In total, 31 studies, including a total of 10,730 patients, met our criteria. The results showed that thrombocytopenia in HCC patients was associated with poor overall survival (HR = 1.47, 95% CI: 1.21-1.78), disease-free survival (HR = 1.36, 95% CI: 1.08-1.72), and a high risk of cancer recurrence (HR = 1.41, 95% CI: 1.22-1.62), but a low risk of extrahepatic metastasis (HR = 0.55, 95% CI: 0.47-0.63).

CONCLUSIONS

The meta-analysis revealed that preoperative platelet count could act as a significant biomarker in the prognosis of HCC, especially a platelet count of <100 × 10³/mm³. Additional high-quality trials are needed, considering the low-quality studies analyzed.

A simple prognostic score system predicts the prognosis of solitary large hepatocellular carcinoma following hepatectomy

Solitary large hepatocellular carcinomas (SLHCC) form a heterogeneous group of patients with different survival probabilities. The aim of our study was to develop a simple prognostic index for identifying prognostic subgroups of SLHCC patients.A retrospective analysis of clinical data from 268 patients with operable SLHCC was conducted to investigate prognostic factors and to construct a score system based on risk factors. A Cox proportional hazard regression analysis was used to evaluate the variables associated with prognosis. Survival analyses were performed using Kaplan-Meier survival curves.Three variables remained in the final multivariate model: platelet to lymphocyte ratio (PLR), microvascular invasion (MVI), and tumor size with hazard ratios equal to 1.004 (95% confidence interval: 1.001-1.006), 1.092 (1.044-1.142), and 2.233 (1.125-2.233), respectively. A score of 1 was assigned to each risk factor. Patient scores were determined based on these risk factors; thus, the scores ranged between 0 and 3. Ultimately, three categories (0, 1-2, 3) were defined. Patients with scores of 3 had a 5-year survival rate of 25.4%, whereas patients with a score of 0 had a 5-year survival rate of 52.1%. The prognosis significantly worsened as the score increased. Similar results were found among cirrhotic and noncirrhotic patients.Our simple prognostic index successfully predicts SLHCC survival.

Thrombocytopenia for prediction of hepatocellular carcinoma recurrence: Systematic review and meta-analysis

AIM: To investigate the association between thrombocytopenia and relapse after treatment for hepatocellular carcinoma (HCC).

METHODS: We searched the PubMed, EMBASE, and Web of Science databases to obtain eligible studies. The hazard ratios (HRs) values and 95% confidence intervals (CIs) were pooled by random effects model. Subsequently, we estimated the heterogeneity, performed a sensitivity analysis, determined the publication bias, and performed subgroup and meta-regression analyses. Study quality was assessed by using the Oxford Center for Evidence Based Medicine tool.

RESULTS: We identified 18 eligible studies by retrieval (published during 2000-2014). Out of the 4163 patients with HCC who were recruited, 2746 (66.0%) experienced recurrence. In general, our meta-analysis suggested that low platelet count (PLT) before therapy significantly increased the probability of postoperative recurrence (HR = 1.53, 95%CI: 1.29-1.81). PLT was also valuable in the prediction of intrahepatic distant recurrence (HR = 1.49, 95%CI: 1.25-1.77). Subgroup and meta-regression analyses identified various therapeutic modalities as the source of a high degree of heterogeneity. The pooled HR values showed no obvious change when a single study was removed, but otherwise, an opposite-effects model was used. In addition, no significant publication bias was detected.

CONCLUSION: Thrombocytopenia before treatment might be an inexpensive and useful predictor of postoperative recurrence in patients with HCC.