Prognostic value of platelet to lymphocyte ratio in hepatocellular carcinoma: a meta-analysis

Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma

Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to develop a novel, interpretable machine learning (ML) model to predict PHLF. We enrolled 312 hepatocellular carcinoma (HCC) patients who underwent hepatectomy, and 30% of the samples were utilized for internal validation. Variable selection was performed using the least absolute shrinkage and selection operator regression in conjunction with random forest and recursive feature elimination (RF-RFE) algorithms. Subsequently, 12 distinct ML algorithms were employed to identify the optimal prediction model. The area under the receiver operating characteristic curve, calibration curves, and decision curve analysis (DCA) were utilized to assess the model's predictive accuracy. Additionally, an independent prospective validation was conducted with 62 patients. The SHapley Additive exPlanations (SHAP) analysis further explained the extreme gradient boosting (XGBoost) model. The XGBoost model exhibited the highest accuracy with AUCs of 0.983 and 0.981 in the training and validation cohorts among 12 ML models. Calibration curves and DCA confirmed the model's accuracy and clinical applicability. Compared with traditional models, the XGBoost model had a higher AUC. The prospective cohort (AUC = 0.942) further confirmed the generalization ability of the XGBoost model. SHAP identified the top three critical variables: total bilirubin (TBIL), MELD score, and ICG-R15. Moreover, the SHAP summary plot was used to illustrate the positive or negative effects of the features as influenced by XGBoost. The XGBoost model provides a good preoperative prediction of PHLF in patients with resectable HCC.

The APP Score: A simple serum biomarker model to enhance prognostic prediction in hepatocellular carcinoma

The prognosis for patients with hepatocellular carcinoma (HCC) depends on tumor stage and remnant liver function. However, it often includes tumor morphology, which is usually assessed with imaging studies or pathologic analysis, leading to limited predictive performance. Therefore, the aim of this study was to develop a simple and low-cost prognostic score for HCC based on serum biomarkers in routine clinical practice. A total of 3,100 patients were recruited. The least absolute shrinkage and selector operation (LASSO) algorithm was used to select the significant factors for overall survival. The prognostic score was devised based on multivariate Cox regression of the training cohort. Model performance was assessed by discrimination and calibration. Albumin (ALB), alkaline phosphatase (ALP), and alpha-fetoprotein (AFP) were selected by the LASSO algorithm. The three variables were incorporated into multivariate Cox regression to create the risk score (APP score = 0.390* ln (ALP) + 0.063* ln(AFP) - 0.033*ALB). The C-index, K-index, and time-dependent AUC of the score displayed significantly better predictive performance than 5 other models and 5 other staging systems. The model was able to stratify patients into three different risk groups. In conclusion, the APP score was developed to estimate survival probability and was used to stratify three strata with significantly different outcomes, outperforming other models in training and validation cohorts as well as different subgroups. This simple and low-cost model could help guide individualized follow-up.

Development and validation of a prognostic nomogram including inflammatory indicators for overall survival in hepatocellular carcinoma patients treated primarily with surgery or loco-regional therapy: A single-center retrospective study

Hepatocellular carcinoma (HCC) is among the most prevalent malignant tumors, but the current staging system has limited efficacy in predicting HCC prognosis. The authors sought to develop and validate a nomogram model for predicting overall survival (OS) in HCC patients primarily undergoing surgery or loco-regional therapy. Patients diagnosed with HCC from January 2017 to June 2023 were enrolled in the study. The data were randomly split into a training cohort and a validation cohort. Utilizing univariate and multivariate Cox regression analyses, independent risk factors for OS were identified, and a nomogram model was constructed to predict patient survival. Therapy, body mass index, portal vein tumor thrombus, leukocyte, γ-glutamyl transpeptidase to platelet ratio, monocyte to lymphocyte ratio, and prognostic nutritional index were used to build the nomogram for OS. The nomogram demonstrated strong predictive ability, with high C-index values (0.745 for the training cohort and 0.650 for the validation cohort). ROC curves, calibration plots, and DCA curves all indicated satisfactory performance of the nomogram. Kaplan-Meier curve analysis showed a significant difference in prognosis between patients in the low- and high- risk groups. This nomogram provides precise survival predictions for HCC patients and helps identify individuals with varying prognostic risks, emphasizing the need for individualized follow-up and treatment plans.

Two Hematological Markers Predicting the Efficacy and Prognosis of Neoadjuvant Chemotherapy Using Lobaplatin Against Triple-Negative Breast Cancer

BACKGROUND

Our previous work indicated that the addition of lobaplatin to combined therapy with taxane and anthracycline can improve the pathological complete response rate of neoadjuvant therapy for triple-negative breast cancer (TNBC) and lengthen long-term survival significantly, but the therapeutic markers of this regimen are unclear.

METHODS

Eighty-three patients who met the inclusion criteria were included in this post hoc analysis. We analyzed the association between platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) before neoadjuvant chemotherapy with the efficacy and prognosis after treatment with docetaxel, epirubicin, and lobaplatin neoadjuvant chemotherapy regimen. χ2 test and Cox regression were used to analyze the association between PLR and NLR with total pathologic complete response (tpCR), as well as the association between PLR and NLR with event-free survival (EFS) and overall survival (OS), respectively.

RESULTS

The tpCR rate in the PLR- group was 49.0% (25/51), which was significantly higher than that in the PLR+ group (25.0% [8/32], P = .032). The tpCR rate in the NLR- group was 49.1% (26/53), which was significantly higher than that in the NLR+ group (23.3% [7/30], P = .024). The tpCR rate of the PLR-NLR- (PLR- and NLR-) group was 53.7% (22/41), which was significantly higher than that of the PLR+/NLR+ (PLR+ or/and NLR+) group (26.1% [11/42]; P = .012). EFS and OS in the NLR+ group were significantly shorter than those in the NLR- group (P = .028 for EFS; P = .047 for OS). Patients in the PLR-NLR- group had a longer EFS than those in the PLR+/NLR+ group (P = .002).

CONCLUSION

PLR and NLR could be used to predict the efficacy of neoadjuvant therapy with the taxane, anthracycline, and lobaplatin regimen for patients with TNBC, as patients who had lower PLR and NLR values had a higher tpCR rate and a better long-term prognosis.

Body composition and inflammation variables as the potential prognostic factors in epithelial ovarian cancer treated with Olaparib

Background

Epithelial ovarian cancer (EOC) is a significant cause of mortality among gynecological cancers. While Olaparib, a PARP inhibitor, has demonstrated efficacy in EOC maintenance therapy, individual responses vary. This study aims to assess the prognostic significance of body composition and systemic inflammation markers in EOC patients undergoing initial Olaparib treatment.

Methods

A retrospective analysis was conducted on 133 EOC patients initiating Olaparib therapy. Progression-free survival (PFS) was assessed through Kaplan-Meier analysis and Cox proportional hazards regression. Pre-treatment computed tomography images were utilized to evaluate body composition parameters including subcutaneous adipose tissue index (SATI), visceral adipose tissue index (VATI), skeletal muscle area index (SMI), and body mineral density (BMD). Inflammatory markers, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), serum albumin, and hemoglobin levels, were also measured.

Results

The median follow-up duration was 16 months (range: 5-49 months). Survival analysis indicated that high SATI, high VATI, high SMI, high BMD, low NLR, and low PLR were associated with decreased risk of disease progression (all p < 0.05). Multivariate analysis identified several factors independently associated with poor PFS, including second or further lines of therapy (HR = 2.16; 95% CI = 1.09-4.27, p = 0.027), low VATI (HR = 3.79; 95% CI = 1.48-9.70, p = 0.005), low SMI (HR = 2.52; 95% CI = 1.11-5.72, p = 0.027), low BMD (HR = 2.36; 95% CI = 1.22-4.54, p = 0.010), and high NLR (HR = 0.31; 95% CI = 0.14-0.69, p = 0.004). Subgroup analysis in serous adenocarcinoma patients revealed distinct prognostic capabilities of SATI, VATI, SMI, PLR, and NLR.

Conclusion

Body composition and inflammation variables hold promise as predictors of therapeutic response to Olaparib in EOC patients. Understanding their prognostic significance could facilitate tailored treatment strategies, potentially improving patient outcomes.

Development and Validation of Nomograms to Predict the Prognosis of Patients With Unresectable Hepatocellular Carcinoma Receiving Transarterial Chemoembolization

Background

Recent studies have shown that inflammatory indicators are closely related to the prognosis of patients with hepatocellular carcinoma, and they can serve as powerful indices for predicting recurrence and survival time after treatment. However, the predictive ability of inflammatory indicators has not been systematically studied in patients receiving transarterial chemoembolization (TACE). Therefore, the objective of this research was to determine the predictive value of preoperative inflammatory indicators for unresectable hepatocellular carcinoma treated with TACE.

Methods

Our retrospective research involved 381 treatment-naïve patients in 3 institutions, including the First Affiliated Hospital of Soochow University, Nantong First People's Hospital, and Nantong Tumor Hospital, from January 2007 to December 2020 that received TACE as initial treatment. Relevant data of patients were collected from the electronic medical record database, and the recurrence and survival time of patients after treatment were followed up. Least absolute shrinkage and selection operator (LASSO) algorithm was used to compress and screen the variables. We utilized Cox regression to determine the independent factors associated with patient outcomes and constructed a nomogram based on multivariate results. Finally, the nomogram was verified from discriminability, calibration ability, and practical applicability.

Results

Multivariate analysis revealed that the levels of aspartate aminotransferase-to-platelet ratio index (APRI) and lymphocyte count were independent influential indicators for overall survival (OS), whereas the levels of platelet-to-lymphocyte ratio (PLR) was an independent influential index for progression. Nomograms exhibited an excellent concordance index (C-index), in the nomogram of OS, the C-index was 0.753 and 0.755 in training and validation cohort, respectively; and in the nomogram of progression, the C-index was 0.781 and 0.700, respectively. The time-dependent C-index, time-dependent receiver operating characteristic (ROC), and time-dependent area under the curve (AUC) of the nomogram all exhibited ideal discrimination ability. Calibration curves significantly coincided with the standard lines, which indicated that the nomogram had high stability and low degree of over-fitting. Decision curve analysis revealed a wider range of threshold probabilities and could augment net benefits. The Kaplan-Meier curves for risk stratification indicated that the prognosis of patients varied significantly between risk categories (P < .0001).

Conclusions

The developed prognostic nomograms based on preoperative inflammatory indicators revealed high predictive accuracy for survival and recurrence. It can be a valuable clinical instrument for guiding individualized treatment and predicting prognosis.

Lymphopenia predicts reduced survival in canine hepatocellular carcinoma

Platelet to lymphocyte ratio (PLR) is a prognostic marker in human hepatocellular carcinoma (HCC) however, its utility in canine HCC has not been explored. The aim of the study was to determine if PLR could predict survival outcomes in 42 dogs with HCC. PLR was not a significant predictive factor (p = 0.15) but lymphopenia alone was significantly correlated with a reduced probability of survival (p = 0.024). Further studies are needed to evaluate if peripheral lymphocyte count mirrors that of the tumor microenvironment in canine HCC.

Blood biomarkers predict outcomes in patients with hepatocellular carcinoma treated with immune checkpoint Inhibitors: A pooled analysis of 44 retrospective sudies

OBJECTIVE

We conducted the first meta-analysis to identify the predictive significance of baseline blood biomarkers (such as neutrophil to lymphocyte ratio (NLR), early alpha-fetoprotein (AFP) response, albumin-bilirubin (ALBI), AFP, platelet to lymphocyte ratio (PLR), C-reactive protein (CRP), protein induced by vitamin K absence II (PIVKA-II), and lymphocyte to monocyte ratio (LMR)) in hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs).

METHODS

Eligible articles were retrieved using PubMed, the Cochrane Library, EMBASE, and Google Scholar by November 24, 2022. Clinical outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and hyperprogressive disease (HPD).

RESULTS

A total of 44 articles with 5322 patients were included in this meta-analysis. The pooled results demonstrated that patients with high NLR levels had significantly poorer OS (HR: 1.951, P < 0.001) and PFS (HR: 1.632, P < 0.001), lower ORR (OR: 0.484, P < 0.001) and DCR (OR: 0.494, P = 0.027), and higher HPD (OR: 8.190, P < 0.001). The patients with high AFP levels had shorter OS (HR: 1.689, P < 0.001) and PFS (HR: 1.380, P < 0.001), and lower DCR (OR: 0.440, P < 0.001) than those with low AFP levels, however, there was no difference in ORR (OR: 0.963, P = 0.933). We also found that early AFP response was correlated with better OS (HR: 0.422, P < 0.001) and PFS (HR: 0.385, P < 0.001), higher ORR (OR: 7.297, P < 0.001) and DCR (OR: 13.360, P < 0.001) compared to non-responders. Besides, a high ALBI grade was significantly related to shorter OS (HR: 2.440, P = 0.009) and PFS (HR: 1.373, P = 0.022), lower ORR (OR: 0.618, P = 0.032) and DCR (OR: 0.672, P = 0.049) than those with an ALBI grade 1.

CONCLUSION

The NLR, early AFP response, and ALBI were useful predictors of outcomes in HCC patients treated with ICIs.

Inflammation-Related Marker NrLR Predicts Prognosis in AFP-Negative HCC Patients After Curative Resection

Background

The role of inflammation-related markers in alpha-fetoprotein (AFP) negative hepatocellular carcinoma (HCC) is not well known. This study aimed to investigate the clinical significance of inflammation-related markers in AFP-negative HCC patients after curative resection.

Methods

One thousand one hundred and seventy-nine AFP-negative HCC patients after curative resection were included. Survival rate and prognostic analysis were performed using Kaplan-Meier and Cox regression analysis. Propensity score matching (PSM) was used for patient selection.

Results

Multivariate Cox regression showed that neutrophil times γ-glutamyl transpeptidase to lymphocyte ratio (NrLR) was the independent risk factor associated with OS (p = 0.002) and RFS (p = 0.017). Low NrLR groups (n = 628) had lower rates of albumin-bilirubin (ALBI) grade 2 (p < 0.001), lower rates of bleeding and blood transfusion (p < 0.001) than high NrLR groups. Considering tumor features, low NrLR groups had lower AFP levels (p < 0.001), smaller tumor size (p < 0.001), and lower rates of Edmondson grade III-IV (p = 0.024) than high NrLR groups. After PSM, the 1-year, 3 year-, and 5-year OS rates in the low NrLR and high NrLR groups were 96.3%, 86.9%, 64.9%, and 91.4%, 76.7%, 59.5% (p < 0.001), respectively. The 1-year, 3-year, and 5-year RFS rates in the low NrLR and high NrLR groups were 80.0%, 62.9%, 47.5%, and 71.7%, 52.6%, 39.5% (p < 0.001), respectively.

Conclusion

NrLR was a poor prognostic factor for mortality and tumor recurrence in AFP-negative HCC patients after curative resection. The simple and low-cost marker could help physician to determine patients at high risk of tumor recurrence for frequent clinical surveillance.

C-reactive protein/albumin ratio and Glasgow prognostic score are associated with prognosis and infiltration of Foxp3+ or CD3+ lymphocytes in colorectal liver metastasis

BACKGROUND

Inflammatory indices and tumor-infiltrating lymphocytes (TILs) have prognostic value in many cancer types. This study aimed to assess the prognostic value of inflammatory indices and evaluate their correlation with survival and presence of TILs in patients with colorectal liver metastasis (CRLM).

METHODS

Medical records of 117 patients who underwent hepatectomy for CRLM were retrospectively reviewed. We calculated inflammatory indices comprising the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, C-reactive protein/albumin ratio (CAR), and Glasgow prognostic score (GPS). Furthermore, we evaluated the relationship between these ratios and the GPS and survival rates and immunohistochemical results of tumor-infiltrating CD3+, CD8+, and Foxp3+ lymphocytes.

RESULTS

The patients with low CAR values and low GPS had significantly better overall survival as per the log-rank test (p = 0.025 and p = 0.012, respectively). According to the multivariate analysis using the Cox proportional hazard model, the CAR (hazard ratio [HR], 0.57; 95% confidence interval [CI], 0.33-0.99; p = 0.048) and GPS (HR, 0.40; 95% CI, 0.19-0.83; p = 0.013) were independent prognostic factors. Additionally, Foxp3+ lymphocytes were more common in samples from the patients with a low CAR (p = 0.041). Moreover, the number of CD3+ TILs was significantly higher in the patients with a low GPS (p = 0.015).

CONCLUSIONS

The CAR and GPS are simple, inexpensive, and objective markers associated with predicting survival in patients with CRLM. Moreover, they can predict the presence of Foxp3+ and CD3+ lymphocytes in the invasive margin of a tumor.

TRIAL REGISTRATION

Retrospectively registered. https://www.kurume-u.ac.jp/uploaded/attachment/14282.pdf .

Integration of Inflammation-Immune Factors to Build Prognostic Model Predictive of Prognosis and Minimal Residual Disease for Hepatocellular Carcinoma

Background

Tumor recurrence after hepatectomy is high for hepatocellular carcinoma (HCC), and minimal residual disease (MRD) could be the underlying mechanism. A predictive model for recurrence and presence of MRD is needed.

Methods

Common inflammation-immune factors were reviewed and selected to construct novel models. The model consisting of preoperative aspartate aminotransferase, C-reactive protein, and lymphocyte count, named ACLR, was selected and evaluated for clinical significance.

Results

Among the nine novel inflammation-immune models, ACLR showed the highest accuracy for overall survival (OS) and time to recurrence (TTR). At the optimal cutoff value of 80, patients with high ACLR (> 80) had larger tumor size, higher Edmondson’s grade, more vascular invasion, advanced tumor stage, and poorer survival than those with low ACLR (≤ 80) in the training cohort (5-year OS: 43.3% vs. 80.1%, P < 0.0001; 5-year TTR: 74.9% vs. 45.3%, P < 0.0001). Multivariate Cox analysis identified ACLR as an independent risk factor for OS [hazard ratio (HR) = 2.22, P < 0.001] and TTR (HR = 2.36, P < 0.001). Such clinical significance and prognostic value were verified in validation cohort. ACLR outperformed extant models, showing the highest area under receiver operating characteristics curve for 1-, 3-, and 5-year OS (0.737, 0.719, and 0.708) and 1-, 3-, and 5-year TTR (0.696, 0.650, and 0.629). High ACLR correlated with early recurrence (P < 0.001) and extremely early recurrence (P < 0.001). In patients with high ACLR, wide resection margin might confer survival benefit by decreasing recurrence (median TTR, 25.5 vs. 11.4 months; P = 0.037).

Conclusions

The novel inflammation-immune model, ACLR, could effectively predict prognosis, and the presence of MRD before hepatectomy and might guide the decision on resection margin for patients with HCC.

Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio in Hepatocellular Carcinoma Treated with Stereotactic Body Radiotherapy

PURPOSE

To investigate the prognostic value of the neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) in patients with hepatocellular carcinoma (HCC) treated with stereotactic body radiotherapy (SBRT).

METHODS

The medical records of HCC patients treated with SBRT between 2008 and 2019 were reviewed retrospectively. The NLR and PLR were calculated from the serum complete blood count before and after SBRT, and the prognostic values of the NLR and PLR for the treatment outcomes were evaluated.

RESULTS

Thirty-nine patients with 49 HCC lesions were included. After a median follow-up of 26.8 months (range, 8.4-80.0 months), three-year local control, overall survival (OS), and progression-free survival (PFS) rate were 97.4%, 78.3%, and 35.2%, respectively. Both NLR and PLR increased significantly after SBRT and decreased slowly to the pre-SBRT value at 6 months. Univariable analysis showed that gross tumor volume (GTV) >14 cc, post-SBRT PLR >90, and PLR change >30 were associated with a poorer OS (p=0.002, p=0.011, and p=0.001, respectively), and the PLR change was significant in multivariable analysis (hazard ratio [HR], 10.09; 95% CI, 1.15-88.40; p=0.037). For PFS, GTV >14 cc, post-SBRT NLR >2.5 and post-SBRT PLR >90 were predictive of a poorer PFS in univariable analysis (p=0.011, p=0.004 and p=0.041, respectively) and only post-SBRT NLR >2.5 remained significant in multivariable analysis (HR, 2.44; 95% CI, 1.03-5.76; p=0.042, respectively).

CONCLUSIONS

The NLR and PLR increased transiently after SBRT, and the post-SBRT NLR and PLR were associated with the clinical outcomes of HCC patients.

Basal and one-month differed neutrophil, lymphocyte and platelet values and their ratios strongly predict the efficacy of checkpoint inhibitors immunotherapy in patients with advanced BRAF wild-type melanoma

Background

To evaluate the capability of basal and one-month differed white blood cells (WBC), neutrophil, lymphocyte and platelet values and their ratios (neutrophils-to-lymphocytes ratio, NLR, and platelets-to-lymphocytes ratio, PLR) in predicting the response to immune checkpoint inhibitors (ICI) in metastatic melanoma (MM).

Methods

We performed a retrospective study of 272 BRAF wild-type MM patients treated with first line ICI. Bivariable analysis was used to correlate patient/tumor characteristics with clinical outcomes. Variations between time 1 and time 0 (Δ) of blood parameters were also calculated and dichotomized using cut-off values assessed by ROC curve.

Results

At baseline, higher neutrophils and NLR negatively correlated with PFS, OS and disease control rate (DCR). Higher PLR was also associated with worse OS. In multivariable analysis, neutrophils (p = 0.003), WBC (p = 0.069) and LDH (p = 0.07) maintained their impact on PFS, while OS was affected by LDH (p < 0.001), neutrophils (p < 0.001) and PLR (p = 0.022), while DCR by LDH (p = 0.03) and neutrophils (p = 0.004). In the longitudinal analysis, PFS negatively correlated with higher Δplatelets (p = 0.039), ΔWBC (p < 0.001), and Δneutrophils (p = 0.020), and with lower Δlymphocytes (p < 0.001). Moreover, higher ΔNLR and ΔPLR identified patients with worse PFS, OS and DCR. In the multivariable model, only ΔNLR influenced PFS (p = 0.004), while OS resulted affected by higher ΔWBC (p < 0.001) and lower Δlymphocytes (p = 0.038). Higher ΔWBC also affected the DCR (p = 0.003). When clustering patients in 4 categories using basal LDH and ΔNLR, normal LDH/lower ΔNLR showed a higher PFS than high LDH/higher ΔNLR (20 vs 5 months). Moreover, normal LDH/higher Δlymphocytes had a higher OS than high LDH/lower Δlymphocytes (50 vs. 10 months).

Conclusions

Baseline and early variations of blood cells, together with basal LDH, strongly predict the efficacy of ICI in MM. Our findings propose simple, inexpensive biomarkers for a better selection of patient treatments. Prospective multicenter studies are warranted to confirm these data.

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.

Potential plasma biomarkers: miRNA-29c, miRNA-21, and miRNA-155 in clinical progression of Hepatocellular Carcinoma patients

This study evaluated differences in the clinical appearance of patients with hepatocellular carcinoma (HCC) based on plasma level and regulation of microRNAs (miRNA-29c, miRNA-21, and miRNA-155). The observational-analytical study with a cross-sectional design was conducted on 36 HCC patients and 36 healthy controls. The blood samples were collected from 2 Province Hospitals (Dr. Sardjito Hospital and Prof. Dr. Margono Soekarjo Hospital) for HCC and the Blood Bank Donor of the Indonesian Red Cross for 36 healthy controls. These blood samples were treated as follows: plasma isolation, RNA isolation, cDNA synthesis, quantification by qRT-PCR using a sequence-specific forward primer, and normalization of miRNA using housekeeping-stably miRNA-16. There were only 27 HCC patients with complete clinical variables (neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), platelet count, albumin, C-reactive protein (CRP), and cholinesterase (ChE)) that were able to analyses for regulation miRNAs based on its fold change expression miRNA target. All 27 HCC subjects were follow-up until 3-years of monitoring for their overall survival. The miRNA plasma expression was analyzed by Bio-Rad CFX 96 Manager software to determine the cycle of quantification, followed by the calculation of expression levels using Livak's methods. Data were analyzed using STATA 11.0, with a significant value of p<0.05. The miRNAs expression of HCC subjects were lower than that healthy control subjects in miRNA-29c (down-regulation 1.83-fold), higher than that healthy control subjects in miRNA 21 and miRNA-155 (up-regulation, 1.74-fold; 1.55-fold) respectively. NLR, CRP, ChE, and platelet count showed a significant difference in miRNA-29c regulation, though neutrophil count showed a significant difference in miRNA-21 and miRNA-155 regulation (p<0.05). Conclusion: Plasma biomarkers: miRNA-21 and miRNA-155 might be potential biomarkers as onco-miR in HCC subjects, while miRNA-29c might act as a tumor suppressor. Significant evidence was identified with clinical progression based on the regulation of miRNAs, which was consistent with miRNA -29c.

A multidimensional nomogram combining imaging features and clinical factors to predict the invasiveness and metastasis of combined hepatocellular cholangiocarcinoma

Background

Combined hepatocellular cholangiocarcinoma (CHCC-CCA) is a rare type of primary liver cancer having aggressive behavior. Few studies have investigated the prognostic factors of CHCC-CCA. Therefore, this study aimed to establish a nomogram to evaluate the risk of microvascular invasion (MVI) and the presence of satellite nodules and lymph node metastasis (LNM), which are associated with prognosis.

Methods

One hundred and seventy-one patients pathologically diagnosed with CHCC-CCA were divided into a training set (n=116) and validation set (n=55). Logistic regression analysis was used to assess the relative value of clinical factors associated with the presence of MVI and satellite nodules. The least absolute shrinkage and selection operator (LASSO) algorithm was used to establish the imaging model of all outcomes, and to build clinical model of LNM. Nomograms were constructed by incorporating clinical risk factors and imaging features. The model performance was evaluated on the training and validation sets to determine its discrimination ability, calibration, and clinical utility. Kaplan Meier analysis and time dependent receiver operating characteristic (ROC) were displayed to evaluate the prognosis value of the predicted nomograms of MVI and satellite nodule.

Results

A nomogram comprising the platelet to lymphocyte ratio (PLR), albumin-to-alkaline phosphatase ratio (AAPR) and imaging model was established for the prediction of MVI. Carcinoembryonic antigen (CEA) level and size were combined with the imaging model to establish a nomogram for the prediction of the presence of satellite nodules. Favorable calibration and discrimination were observed in the training and validation sets for the MVI nomogram (C-indexes of 0.857 and 0.795), the nomogram for predicting satellite nodules (C-indexes of 0.919 and 0.883) and the LNM nomogram (C-indexes of 0.872 and 0.666). Decision curve analysis (DCA) further confirmed the clinical utility of the nomograms. The preoperatively predicted MVI and satellite nodules by the combined nomograms achieved satisfactory performance in recurrence-free survival (RFS) and overall survival (OS) prediction.

Conclusions

The proposed nomograms incorporating clinical risk factors and imaging features achieved satisfactory performance for individualized preoperative predictions of MVI, the presence of satellite nodules, and LNM. The prediction models were demonstrated to be good indicator for predicting the prognosis of CHCC-CCA, facilitating treatment strategy optimization for patients with CHCC-CCA.

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

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.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12935-021-02204-3.

Cancer related nutritional and inflammatory markers as predictive parameters of immediate postoperative complications and long-term survival after hepatectomies

BACKGROUND

The overall survival (OS), disease-free survival (DFS) and complications after liver resections is unsatisfactory. Cancer-related malnutrition and inflammation have an effect on survival but not studied/not clear on postoperative complications.

METHODS

We retrospectively analyzed prospectively maintained database of 309 patients. The outcome variables included complications in terms of Clavien-Dindo (CD) Score, OS and DFS; We studied effect of preoperative albumin globulin ratio (AGR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and aspartate transaminase to platelet ratio index (APRI) and dynamic change from pre-operative to postoperative value (Delta-AGR, Delta-NLR, Delta-PLR and Delta-APRI) on complications, OS and DFS.

RESULTS

Total 98 patients (31.71%) had postoperative complications. Fifty patients had CD 1 & 2 and 35 (11.33%) had CD 3 & 4, and 13 (4.12%) had mortality (CD 5). Low AGR, high NLR, high PLR and high Delta-AGR and high Delta-APRI predicted increased major complications. Preoperative high NLR predicted worse OS and low AGR predicted worse OS and DFS. Delta-APRI showed trends towards worse OS and DFS.

CONCLUSION

These serum inflammatory markers can predict immediate postoperative complications. Preoperative AGR and preoperative NLR can predict survival after liver resections. High Delta-AGR, which is a new entity, is predicting more postoperative complications and needs further detailed studies.

Meta-analysis of the prognostic value of pretreatment serum ferritin in hepatobiliary and pancreas (HBP) cancers

BACKGROUND AND OBJECTIVES

Studies have shown that serum ferritin (SF) has unfavourable prognostic value in hepatobiliary and pancreas (HBP) cancers. This meta-analysis aimed to comprehensively assess the prognostic role of pretreatment SF in patients with HBP cancers.

METHODS

Eligible studies published before January 2020 were obtained through a comprehensive search in the PubMed, Web of Science, Cochrane Library and EMBASE databases. Pooled HRs and 95% CIs were then employed as effect sizes.

RESULTS

Seven studies comprising 1244 patients were pooled. Elevated pretreatment SF was associated with worse overall survival (OS) (HR 1.60, 95% CI 1.36 to 1.88, p<0.001) and recurrence-free survival/progression-free survival/time to recurrence (HR 1.70, 95% CI 1.15 to 2.52, p=0.008). Significant prognostic value of elevated pretreatment SF on OS was detected in the subgroups regardless of the cancer type, race, SF cut-off value, tumour-node-metastasis stage and Newcastle-Ottawa Scale score.

CONCLUSION

Elevated pretreatment SF was associated with worse survival outcome of patients with HBP cancers. As such, it may serve as a novel prognostic biomarker for HBP cancers.

Inflammatory indexes in preoperative blood routine to predict early recurrence of hepatocellular carcinoma after curative hepatectomy

Background

The inflammation indexes in blood routine play an essential role in evaluating the prognosis of patients with hepatocellular carcinoma, but the effect on early recurrence has not been clarified. The study aimed to investigate the risk factors of early recurrence (within 2 years) and recurrence-free survival after curative hepatectomy and explore the role of inflammatory indexes in predicting early recurrence.

Methods

The baseline data of 161 patients with hepatocellular carcinoma were analyzed retrospectively. The optimal cut-off value of the inflammatory index was determined according to the Youden index. Its predictive performance was compared by the area under the receiver operating characteristic curve. Logistic and Cox regression analyses were used to determine the risk factors of early recurrence and recurrence-free survival.

Results

The area under the curve of monocyte to lymphocyte ratio (MLR) for predicting early recurrence was 0.700, which was better than systemic inflammatory response index (SIRI), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and systemic immune-inflammatory index (SII). MLR, tumour size, tumour differentiation and BCLC stage are all risk factors for early recurrence and recurrence-free survival of HCC. Combining the above four risk factors to construct a joint index, the area under the curve for predicting early recurrence was 0.829, which was better than single MLR, tumour size, tumour differentiation and BCLC stage. Furthermore, with the increase of risk factors, the recurrence-free survival of patients is worse.

Conclusion

The combination of MLR and clinical risk factors is helpful for clinicians to identify high-risk patients with early recurrence and carry out active postoperative adjuvant therapy to improve the prognosis of patients.

Investigation of the relationship between alopecia areata and inflammatory blood parameters

AIM

Alopecia areata (AA) is an inflammatory condition that causes regional shedding without scarring on the hair or eyebrows, eyelashes, and beard. In studies conducted, it has been concluded that platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), and mean platelet volume (MPV) are significant indicators of systemic inflammation in various diseases. In the present study, our aim was to examine these parameters in AA patients and to investigate their relationship with the disease.

MATERIALS AND METHODS

A total of 135 AA patients and 135 healthy controls who did not have any systemic, inflammatory, infectious, or autoimmune diseases were included in this study. Demographic characteristics and complete blood count (CBC) results were analyzed retrospectively and recorded, and statistical analysis was performed.

RESULTS

PLR, NLR, and MPV values were not differ between AA patients and the control group.

CONCLUSION

It can be concluded that PLR, NLR, and MPV values are not convenient parameters to show inflammatory response in AA.

Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma

BACKGROUND AND AIMS

The incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been published in the past decades. Hence, we aimed to investigate the risk factors for recurrence of NBNC-HCC and construct pre- and postoperative prognostic models for predicting recurrence in these patients who underwent curative resection.

METHODS

We retrospectively analyzed 608 patients who underwent liver resection for NBNC-HCC. A multivariate Cox proportional hazard regression analysis was conducted to identify the independent risk factors of recurrence, based on which the prediction nomogram models were constructed and validated. The predictive performance of the models was assessed using the concordance index, time-dependent receiver operating characteristic curve, prediction error cure, and calibration curve. To facilitate clinical use, we stratified the patients into three distinct risk groups based on the score of the models. The cutoff scores of the models were determined by a survival tree analysis.

RESULTS

Multivariable analysis identified neutrophil-to-lymphocyte ratio, alpha fetoprotein, tumor number, and tumor diameter as independent preoperative risk factors for recurrence. In addition to these variables, microvascular invasion was an independent postoperative risk factor for recurrence. The pre- and postoperative nomograms were constructed based on these variables. The C-index of the pre- and postoperative nomograms was 0.689 and 0.702 in the training cohort, 0.682 and 0.688 in the validation cohort, respectively, which were both higher than those of the conventional Barcelona Clinic Liver Cancer (BCLC) and 8th edition of the American Joint Committee on Cancer (AJCC8th) staging systems. In addition, the pre- and postoperative nomograms could also re-stratify patients with BCLC stage 0/A or AJCC8th stage IA/IB/II into distinct risk groups.

CONCLUSIONS

We constructed pre- and postoperative prognostic models for predicting recurrence in patients with NBNC-HCC who underwent curative resection. They can play a supplementary role to the traditional staging system.

No Impact of NRAS Mutation on Features of Primary and Metastatic Melanoma or on Outcomes of Checkpoint Inhibitor Immunotherapy: An Italian Melanoma Intergroup (IMI) Study

AIMS

It is debated whether the NRAS-mutant melanoma is more aggressive than NRAS wildtype. It is equally controversial whether NRAS-mutant metastatic melanoma (MM) is more responsive to checkpoint inhibitor immunotherapy (CII). 331 patients treated with CII as first-line were retrospectively recruited: 162 NRAS-mutant/BRAF wild-type (mut/wt) and 169 wt/wt. We compared the two cohorts regarding the characteristics of primary and metastatic disease, disease-free interval (DFI) and outcome to CII. No substantial differences were observed between the two groups at melanoma onset, except for a more frequent ulceration in the wt/wt group (p = 0.03). Also, the DFI was very similar in the two cohorts. In advanced disease, we only found lung and brain progression more frequent in the wt/wt group. Regarding the outcomes to CII, no significant differences were reported in overall response rate (ORR), disease control rate (DCR), progression free survival (PFS) or overall survival (OS) (42% versus 37%, 60% versus 59%, 12 (95% CI, 7-18) versus 9 months (95% CI, 6-16) and 32 (95% CI, 23-49) versus 27 months (95% CI, 16-35), respectively). Irrespectively of mutational status, a longer OS was significantly associated with normal LDH, <3 metastatic sites, lower white blood cell and platelet count, lower neutrophil-to-lymphocyte (N/L) ratio. Our data do not show increased aggressiveness and higher responsiveness to CII in NRAS-mutant MM.

Clinicopathological and prognostic value of preoperative lymphocyte to monocyte ratio for hepatocellular carcinoma following curative resection: A meta-analysis including 4,092 patients

BACKGROUND

Previous studies have reported that lymphocyte-to-monocyte ratio (LMR) had novel prognostic value in hepatocellular carcinoma (HCC). The purpose of this meta-analysis was to synthetically evaluate the prognostic role of preoperative LMR in HCC patients following curative resection.

METHODS

Eligible studies were acquired through searching Pubmed, Web of Science, Cochrane Library and EMbase update to September 2019. Merged hazard ratios (HRs) and 95% confidence intervals (CIs) were applied as effect sizes.

RESULTS

A total of ten studies containing 4,092 patients following liver resection were enrolled in this meta-analysis. The pooled results demonstrated that preoperative elevated LMR indicated superior survival outcome (HR: 0.58, 95% CI: 0.34-0.96, P = .035) and recurrence-free survival (RFS)/disease-free survival/time to recurrence (HR = 0.76, 95% CI: 0.58-0.98, P = .034). The significant prognostic role of preoperative LMR was detected in the subgroup of all publication year, country of origin, sample sizes <300, TNM stage of I-IV and LMR cut-off value ≤4. Furthermore, high LMR was significantly associated with male, high AFP, large tumor size, incomplete tumor capsule, advanced TNM stage and BCLC stage, and presence of PVTT.

CONCLUSION

Elevated preoperative LMR indicated superior survival outcome in HCC patients following curative resection, and might serve as a novel prognostic biomarker.

Novel inflammation-based prognostic nomograms for individualized prediction in hepatocellular carcinoma after radical resection

Background

The prognosis for patients with hepatocellular carcinoma (HCC) after liver resection ranges widely and is unsatisfactory. This study aimed to develop two novel nomograms that combined tumor characteristics and inflammation-related indexes to predict overall survival (OS) and recurrence-free survival (RFS).

Methods

In total, 3,071 patients who underwent radical resection were recruited. Independent risk factors were identified by Cox regression analysis and used to conduct prognostic nomograms. The C-index, time-dependent areas under the receiver operating characteristic curve (time-dependent AUC), decision curve analysis (DCA), and calibration curves were used to assess the performance of the nomograms.

Results

Multivariate analysis revealed that alpha-fetoprotein (AFP), resection margin, neutrophil times γ-glutamyl transpeptidase-to-lymphocyte ratio (NrLR), platelet-to-lymphocyte ratio (PLR), γ-glutamyl transpeptidase-to-platelet ratio (GPR), tumor size, tumor number, microvascular invasion, and Edmondson-Steiner grade were the independent risk factors associated with OS. The independent risk factors associated with RFS were hepatitis, AFP, albumin-bilirubin (ALBI), NrLR, PLR, PNI, GPR, tumor size, tumor number, microvascular invasion, and Edmondson-Steiner grade. The C-index of the nomograms in the training and validation cohort were 0.71 [95% confidence interval (CI): 0.70–0.73] and 0.71 (95% CI: 0.69–0.74) for the OS, and 0.71 (95% CI: 0.70–0.73) and 0.74 (95% CI: 0.72–0.76) for RFS, respectively. The C-index, time-dependent AUC, and DCA of the nomograms showed significantly better predictive performances than those of commonly used staging systems. The models could stratify patients into three different risk groups. The web-based tools are convenient for clinical practice.

Conclusions

Two novel nomograms in which integrated inflammation-related indexes and accessible clinical parameters were developed to predict OS and RFS in HCC patients who underwent radical resection. Such models will help guide postoperative individualized follow-up and adjuvant therapy.

Leucocyte ratios are biomarkers of mortality in patients with acute decompensation of cirrhosis and acute-on-chronic liver failure

BACKGROUND

In patients with cirrhosis, progression to acute decompensation (AD) and acute-on-chronic liver failure (ACLF) has been associated with poor prognosis. Differential leucocyte ratios might predict mortality in systemic inflammatory conditions.

AIM

To evaluate differential leucocyte ratios as prognostic biomarkers in patients with cirrhosis.

METHODS

Patients with AD and ACLF were recruited from four centres in three countries. Peripheral blood differential leucocytes were measured (three centres using flow cytometry) on hospital admission and at 48 hours. Ratios were correlated to model for end-stage liver disease (MELD), chronic liver failure-sequential organ failure (CLIF-SOFA), suspected/culture-positive bacterial infection and survival.

RESULTS

Nine hundred twenty-six patients (562 (61%) male, median age 55 (25-94) years) were studied. Overall, 350 (37%) did not survive to hospital discharge. Neutrophil-lymphocyte ratio (NLR) and monocyte-lymphocyte ratio (MLR) were elevated in patients with AD and ACLF who died during their hospital stay. On multivariate analysis NLR retained statistical significance independently of CLIF-SOFA or MELD. NLR >30 was associated with an 80% 90-day mortality in patients with ACLF but not AD. On sensitivity analysis for subgroups (alcohol-related liver disease and suspected sepsis), NLR and MLR retained statistically robust accuracy for the prediction of mortality. Significant predictive accuracy was only observed in centres using flow cytometry.

CONCLUSION

Leucocyte ratios are simple and robust biomarkers of outcome in ACLF, which are comparable to CLIF-SOFA score but dependent on leucocyte quantification method. NLR and MLR may be used as screening tools for mortality prediction in patients with acutely deteriorating cirrhosis.

Prognostic significance of inflammatory indices in hepatocellular carcinoma treated with transarterial chemoembolization: A systematic review and meta-analysis

OBJECTIVES

To investigate the association between inflammatory indices and clinical outcomes of hepatocellular carcinoma (HCC) patients treated with transarterial chemoembolization (TACE) by performing meta-analysis.

METHODS

A systematic literature search for relevant studies published up to August 2019 was performed by using PubMed, Web of Science, EMBASE, China National Knowledge Internet (CNKI) and Wanfang databases. Pooled hazard ratios (HR) or odds ratio (OR) and 95% confidence intervals (95% CI) were calculated.

RESULTS

A total of 5280 patients from 22 studies were finally enrolled in the meta-analysis. The results demonstrated that elevated preoperative NLR, PLR, and CRP was associated with poor OS in HCC patients treated by TACE (HR = 1.81, P<0.00001; HR = 1.56, P = 0.007; HR = 1.45, P<0.00001, respectively). In addition, high NLR was significantly correlated with the presence of tumor vascular invasion (OR = 1.49, P = 0.002). Elevated PLR tended to be correlated with higher incidence of tumor size>3 cm (OR = 2.42, P = 0.005).

CONCLUSIONS

Elevated preoperative NLR, PLR, and CRP are associated with poor prognosis in HCC patients treated with TACE. These inflammatory indices may be convenient, accessible, affordable and dependable biomarkers with prognostic potential for HCC patients treated by TACE.

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.

Comparison of Platelet to Lymphocyte Ratio between Degrees of the Barcelona Clinic Liver Cancer on Hepatocellular Carcinoma Patients at Haji Adam Malik General Hospital

BACKGROUND:

Hepatocellular carcinoma (HCC) is the fifth most common malignancy. The Barcelona Clinical Liver Cancer System (BCLC), guides the treatment of patients with HCC. Platelet to lymphocyte ratio (PLR) is an inflammatory marker used as a prognostic factor disease of HCC. An increase in PLR indicates higher host’s inflammatory response and is associated with aggressive HCC behaviour, according to BCLC.

AIM:

This study aims to determine the PLRs between among the degrees of BCLC (The Barcelona Clinic Liver Cancer) in HCC patients at Haji Adam Malik General Hospital in Medan during 2015-2016.

METHODS:

This retrospective study involved 166 patients with HCC who were then classified by the BCLC guidelines. PLRs among the patient’s degrees of BCLC were compared using Kruskal Wallis test.

RESULTS:

A total of 166 HCC patients, 129 (77.7%) were men and 37 (22.3%) were women. The PLR value has a median value of 17841with the lowest value of 1776 and the highest value of 223684. There were differences in PLR levels with various BCLC stages in patients with HCC at Haji Adam Malik Hospital during 2015-2016 (p = 0.026).

CONCLUSION:

There were differences in PLR levels with various BCLC stages in patients with HCC at Haji Adam Malik Hospital during 2015-2016.

Platelet-to-Lymphocyte Ratio and Large Tumor Size Predict Microvascular Invasion after Resection for Hepatocellular Carcinoma

Background:

Recurrence after curative resection of hepatocellular carcinoma (HCC) is associated with early death and poor prognosis. Microvascular invasion (mVI) is strongly associated with disease recurrence. Although many studies have examined the relationship between various serum inflammatory indices and post-treatment prognosis, little is known about preoperative predictors of microvascular invasion in HCC.

Methods:

Patients who underwent curative hepatic resection for HCC at our institute from January 2006 to December 2016 were retrospectively reviewed. The associations between mVI and various potential risk factors, including tumor size, hepatitis B and C virus infection, Child–Pugh scores, platelet-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio, were analyzed. Optimal cut-off values were determined using receiver operating characteristic curves.

Results:

A total of 330 HCC patients were enrolled in this study, of whom 74 (22.4%) had tumors with mVI. After univariate analysis, two parameters were significantly associated with mVI after hepatic resection: platelet-to-lymphocyte ratio ≥102 (odds ratio [OR] 2.385, p = 0.001) and tumor size ≥5 cm (OR 4.29, p < 0.001). Both variables remained significant risk factors for mVI after multivariate analysis: platelet-to-lymphocyte ratio ≥102 (OR 1.831, p = 0.034) and tumor size ≥5 cm (OR 3.791, p < 0.001).

Conclusions:

Large tumor size (≥5 cm) and high platelet-to-lymphocyte ratio (≥102) are independent predictive factors for mVI in HCC.

Inflammatory biomarkers in prognostic analysis for patients with glioma and the establishment of a nomogram

Being biomarkers that reflect host nutritional and immune status, prognostic nutritional index (PNI) and neutrophil/lymphocyte ratio (NLR) have been identified to be independent prognostic factors in various malignancies. The aim of the present study was to determine the predictive value of these parameters for the prognosis of patients with glioma. Hematological and clinicopathological data were retrospectively analyzed from 128 patients with glioma who underwent brain tumor resection between January 2008 and December 2012. Receiver operating characteristic (ROC) analysis was used to determine the optimal cut-offs for PNI and NLR. Kaplan-Meier survival analysis, and univariate and multivariate analyses based on Cox proportional hazards regression model were used to determine whether NLR and PNI were associated with the prognosis of patients with glioma. R software was used to develop nomograms with all the independent prognostic factors included. Kaplan-Meier analysis followed by log-rank tests indicated that NLR ≥2.8 and PNI <45 were significantly associated with decreased overall survival time. The subsequent multivariate analysis indicated that age ≥50 years [hazard ratio (HR), 2.328; 95% confidence interval (CI), 1.386-3.908; P<0.001], high-grade glioma (HR, 3.088; 95% CI, 1.893-5.037; P<0.001), gross total resection (HR, 0.606; 95% CI, 0.380-0.965; P=0.035) and NLR ≥2.8 (HR, 2.037; 95% CI, 1.264-3.281; P=0.003) were independent prognostic factors. The results of the present study indicated that high NLR was an independent risk factor for overall survival rates in patients with glioma, which indicated its value in improving the current prognostic model.

C-Reactive Protein and Platelet-Lymphocyte Ratio as Potential Tumor Markers in Low-Alpha-Fetoprotein Hepatocellular Carcinoma

The hepatocellular carcinoma (HCC) tumor marker alpha-fetoprotein (AFP) is only elevated in about half of the HCC patients, limiting its usefulness in following the effects of therapy or screening. New markers are needed. It has been previously noted that the inflammation markers C-reactive protein (CRP) and platelet-lymphocyte ratio (PLR) are prognostically important and may reflect HCC aggressiveness. We therefore examined these 2 markers in a low-AFP HCC cohort and found that for HCCs > 2 cm, both markers significantly rise with an increasing maximum tumor diameter (MTD). We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Youden index value for each marker, and their area-under-the-curve values for each MTD group. Patients were dichotomized into 2 groups based on the CRP and PLR from the receiver-operating characteristic curve analysis. In the logistic regression models of the 4 different MTD patient groups, CRP and PLR levels were statistically significant to estimate MTD in univariate logistic regression models of MTD groups > 2 cm. CRP and PLR were then combined, and the combination was statistically significant to estimate MTD groups of 3-, 4-, and 5-cm cutoffs. CRP and PLR thus have potential as tumor markers for low-AFP HCC patients, and possibly for screening.

A new laboratory-based algorithm to predict microvascular invasion and survival in patients with hepatocellular carcinoma

BACKGROUND

Preoperative serum inflammatory markers have been correlated with survival outcomes after resection of hepatocellular carcinoma (HCC). Whether they can predict microvascular invasion (MVI) in HCC is still unknown. This study aimed to evaluate the association of inflammatory markers with MVI, and develop a simple and inexpensive preoperative prediction model for MVI.

METHODS

We developed a novel index using routine laboratory tests to predict MVI. The index was developed based on a study on patients with HCC, and validated in an internal cohort and another external cohort. The infiltration of CD8⁺ T cells in tumors was measured using immunohistochemistry. The prediction accuracy was evaluated with the area under the receiver operating characteristic curve (AUC).

RESULTS

There were 165 patients in the training cohort, 107 patients in the internal validation cohort and 80 patients in the external validation cohort. On multivariable analysis in the training cohort, alkaline phosphatase (ALP) and lymphocyte count were independent predictors of MVI. Thus, the ALP-to-lymphocyte ratio (ALR) was developed. The AUCs of the ALR for MVI were higher than the other conventional clinical indices. An optimal cutoff point for the ALR of 69.9 stratified HCC patients into the high (≥69.9) and low (<69.9) groups. An ALR ≥69.9 was significantly associated with worse overall and disease-free survival outcomes. The performance of ALR was validated in the internal and in external cohorts. The CD8⁺ T cell counts were significantly higher in HCC in the ALR<69.9 groups.

CONCLUSION

ALR was a simple, accurate and inexpensive alternative to predict MVI and an independent risk factor of prognosis for HCC patients. The dismal survival outcomes in patients with high ALR scores were related to decreased infiltrations of CD8⁺ T cells in tumors.

Inflammatory markers C-reactive protein and PLR in relation to HCC characteristics

Introduction

Several markers of systemic inflammation, including blood C-reactive protein, platelet lymphocyte ratio (PLR) and neutrophil lymphocyte ratio (NLR) have been identified as independent prognosticators for hepatocellular carcinoma (HCC).

Methods

To attempt to understand the significance of these markers, they were examined in relation to 4 tumour parameters, namely maximum tumour diameter (MTD), tumour multifocality, portal vein thrombosis (PVT) and blood alpha-fetoprotein (AFP) levels.

Results

Using linear and logistic regression models, we found that C-reactive protein and PLR on single variables, were statistically significantly related to the tumour parameters. In a logistic regression final model, CRP was significantly related to MTD, AFP and PVT, and the Glasgow Index significantly related to MTD and AFP. Results of the area under the receiver operating characteristic curves (ROC), showed that the areas for PLR and CRP were statistically significant for high versus low MTD and for presence versus absence of PVT. CRP alone was significant for high versus low AFP.

Conclusions

These analyses suggest that the prognostic usefulness of the inflammatory markers PLR and CRP (but not NLR) may be due to their reflection of parameter values for tumour growth and invasiveness.

Prognostic value of platelet-to-lymphocyte ratio in pancreatic cancer: a comprehensive meta-analysis of 17 cohort studies

Background and aims

Several studies were conducted to explore the prognostic value of platelet-to-lymphocyte ratio (PLR) in pancreatic cancer and have reported contradictory results. This study aims to summarize the prognostic role of PLR in pancreatic cancer.

Materials and methods

Embase, PubMed and Cochrane Library were completely searched. The cohort studies focusing on the prognostic role of PLR in pancreatic cancer were eligible. The overall survival (OS) and progression-free survival (PFS) were analyzed.

Results

Fifteen papers containing 17 cohort studies with pancreatic cancer were identified. The results showed patients that with low PLR might have longer OS when compared to the patients with high PLR (hazard ratio=1.28, 95% CI=1.17–1.40, P<0.00001; I²=42%). Similar results were observed in the subgroup analyses of OS, which was based on the analysis model, ethnicity, sample size and cut-off value. Further analyses based on the adjusted potential confounders were conducted, including CA199, neutrophil-to-lymphocyte ratio, modified Glasgow Prognostic Score, albumin, C-reactive protein, Eastern Cooperative Oncology Group, stage, tumor size, nodal involvement, tumor differentiation, margin status, age and gender, which confirmed that low PLR was a protective factor in pancreatic cancer. In addition, low PLR was significantly associated with longer PFS when compared to high PLR in pancreatic cancer (hazard ratio=1.27, 95% CI=1.03–1.57, P=0.03; I²=33%).

Conclusion

In conclusion, it was found that high PLR is an unfavorable predictor of OS and PFS in patients with pancreatic cancer, and PLR is a promising prognostic biomarker for pancreatic cancer.

Validation of inflammation-based prognostic models in patients with hepatitis B-associated hepatocellular carcinoma: a retrospective observational study

BACKGROUND AND OBJECTIVE

The objective of this study was to investigate the prognostic significance of several inflammation-based models in hepatitis B-associated hepatocellular carcinoma (HCC).

PATIENTS AND METHODS

We retrospectively reviewed 470 cases of hepatitis B-associated HCC. Preoperative data were collected to calculate the inflammation-based markers, including systemic immune-inflammation index (neutrophil×platelets/lymphocyte), platelets-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio (NLR). Overall survival and recurrence-free survival were estimated by the Kaplan-Meier method and Cox analysis.

RESULTS

During a median follow-up time of 29 months, 34.0% (160/470) of patients died and 36.0% (169/470) experienced recurrence. Compared with patients with lower scores of inflammation models, patients in the higher group had larger tumor diameter and higher risk of vascular invasion (both P<0.05). Multivariate analysis revealed that age, tumor size, platelets-to-lymphocyte ratio, NLR, and systemic immune-inflammation index were the independent predictors for both overall survival and recurrence-free survival. Furthermore, the combination of tumor size and NLR showed a significantly better discrimination ability for survival (C-index=0.716, 95% confidence interval: 0.664-0.768) than both Barcelona Clinic Liver Cancer and Cancer of Liver Italian Program.

CONCLUSION

The inflammation-based markers, in particular the combination of NLR with tumor size, are effective tools for assessing prognosis in hepatitis B-associated HCC.

Utility of Serum Inflammatory Markers for Predicting Microvascular Invasion and Survival for Patients with Hepatocellular Carcinoma

BACKGROUND

Preoperative serum inflammatory markers have been correlated with outcome after resection of hepatocellular carcinoma (HCC), but studies have had conflicting results. This study aimed to evaluate the association of six inflammatory markers with recurrence-free survival (RFS), overall survival (OS), and microvascular invasion (MVI), a well-known prognostic factor.

METHODS

This study investigated 370 patients who underwent resection of HCC from 1992 to 2016, retrospectively evaluating their inflammatory indices and individual components including their neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), prognostic nutritional index (PNI), aspartate aminotransferase-to-platelet ratio index (APRI), and aspartate aminotransferase-to-neutrophil ratio index (ANRI). Uni- and multivariate analyses were performed to evaluate these markers for RFS, OS, and MVI.

RESULTS

The median RFS was 23 months, and the median OS was 60 months. Factors independently associated with worse RFS were higher PLR and alpha-fetoprotein level, male gender, and the presence of MVI as well as multiple nodules. Factors independently associated with worse OS were higher PLR and international normalized ratio, male gender, older age, presence of MVI and multiple nodules, larger tumor, presence of cirrhosis, and absence of steatosis. The study identified MVI in 47% of the patients. Lower level of albumin, higher level of alpha-fetoprotein, and larger tumor on preoperative imaging were independently associated with MVI.

CONCLUSIONS

This largest Western series to evaluate the utility of preoperative inflammatory markers in patients with HCC found that only PLR was associated with RFS and OS and that albumin was associated with MVI.

Complete genome sequencing and clinical analysis of intrahepatic hepatitis B virus cccDNA from HCC

BACKGROUND

More than half of hepatocellular carcinomas (HCCs) are etiologically attributed to hepatitis B virus (HBV) infection, but it remains unclear whether HBV mutations are virological factors that contribute to formation of HCC or instead reflect accumulation during the progression of HBV-related disease.

METHODS

Rolling-cycle amplification and PCR sequencing were used to characterize covalently closed circular DNA (cccDNA) mutations in tumor tissues. Paired non-tumor tissues were used as controls.

RESULTS

High frequencies of C1653T, T1753V, and A1762T/G1764A cccDNA mutations were observed in both tumor and non-tumor tissues. T1719G, C1329A, and T3098C mutations were related to the overall survival of HCC patients. Patients with G1719 tended to be in the high Barcelona Clinic Liver Cancer stage and had lower levels of total DNA and cccDNA per cell than patients with T1719. Additionally, in vitro analysis revealed that T1719G mutation reduced viral replication efficacy. Finally, significantly higher levels of preoperative alpha-fetoprotein were observed in patients harboring the G1078T, C1653T, G1727A, C1913A, T1978C, or C3116T mutations at the cccDNA level.

CONCLUSIONS

We speculated that HBV cccDNA mutations accumulated over the course of HBV-related disease development, and that some key mutations had prognostic value for patients with HBV-related HCC.