Coenzyme Q10 in atherosclerosis.

Atherosclerotic disease is a chronic disease that predominantly affects the elderly and is the most common cause of cardiovascular death worldwide. Atherosclerosis is closely related to processes such as abnormal lipid transport and metabolism, impaired endothelial function, inflammation, and oxidative stress. Coenzyme Q10 (CoQ10) is a key component of complex Ⅰ in the electron transport chain and an important endogenous antioxidant that may play a role in decelerating the progression of atherosclerosis. Here, the different forms of CoQ10 presence in the electron transport chain are reviewed, as well as its physiological role in regulating processes such as oxidative stress, inflammatory response, lipid metabolism and cellular autophagy. It was also found that CoQ10 plays beneficial effects in atherosclerosis by mitigating lipid transportation, endothelial inflammation, metabolic abnormalities, and thrombotic processes from the perspectives of molecular mechanisms, animal experiments, and clinical evidence. Besides, the combined use of CoQ10 with other drugs has better synergistic therapeutic effects. It seems reasonable to suggest that CoQ10 could be used in the treatment of atherosclerotic cardiovascular diseases while more basic and clinical studies are needed.

The role of CoQ10 in embryonic development.

Coenzyme Q10 (CoQ10) is a natural component widely present in the inner membrane of mitochondria. CoQ10 functions as a key cofactor for adenosine triphosphate (ATP) production and exhibits antioxidant properties in vivo. Mitochondria, as the energy supply center of cells, play a crucial role in germ cell maturation and embryonic development, a complicated process of cell division and cellular differentiation that transforms from a single cell (zygote) to a multicellular organism (fetus). Here, we discuss the effects of CoQ10 on oocyte maturation and the important role of CoQ10 in the growth of various organs during different stages of fetal development. These allowed us to gain a deeper understanding of the pathophysiology of embryonic development and the potential role of CoQ10 in improving fertility quality. They also provide a reference for further developing its application in clinical treatments.

Noninvasive evaluation of neutrophil extracellular traps signature predicts clinical outcomes and immunotherapy response in hepatocellular carcinoma.

Background: Neutrophil extracellular traps (NETs) have been shown to play a pivotal role in promoting metastasis and immune escape in hepatocellular carcinoma (HCC). Therefore, noninvasive tests to detect the formation of NETs in tumors can have significant implications for the treatment and prognoses of patients. Here, we sought to develop and validate a computed tomography (CT)-based radiomics model to predict the gene expression profiles that regulate the formation of NETs in HCC. Methods: This study included 1133 HCC patients from five retrospective cohorts. Based on the mRNA expression levels of 69 biomarkers correlated with NET formation, a 6-gene score (NETs score, NETS) was constructed in cohort 1 from TCIA database (n=52) and validated in cohort 2 (n=232) from ICGC database and cohort 3 (n=365) from TCGA database. And then based on the radiomics features of CT images, a radiomics signature (RNETS) was developed in cohort 1 to predict NETS status (high- or low-NETS). We further employed two cohorts from Nanfang Hospital (Guangzhou, China) to evaluate the predictive power of RNETS in predicting prognosis in cohort 4 (n=347) and the responses to PD-1 inhibitor of HCC patients in cohort 5 (n=137). Results: For NETS, in cohort 1, the area under the curve (AUC) values predicting 1, 2, and 3-year overall survival (OS) were 0.836, 0.879, and 0.902, respectively. The low-NETS was associated with better survival and higher levels of immune cell infiltration. The RNETS yielded an AUC value of 0.853 in distinguishing between high-NETS or low-NETS and patients with low-RNETS were associated with significantly longer survival time in cohort 1 (P<0.001). Notably, the RNETS was competent in predicting disease-free survival (DFS) and OS in cohort 4 (P<0.001). In cohort 5, the RNETS was found to be an independent risk factor for progression-free survival (PFS) (P<0.001). In addition, the objective response rate of HCC patients treated with PD-1 inhibitor was significantly higher in the low-RNETS group (27.8%) than in the high-RNETS group (10.8%). Conclusions: This study revealed that RNETS as a radiomics biomarker could effectively predict prognosis and immunotherapy response in HCC patients.

Artificial intelligence CT radiomics to predict early recurrence of intrahepatic cholangiocarcinoma: a multicenter study.

OBJECTIVES: In this multicenter study, we sought to develop and validate a preoperative model for predicting early recurrence (ER) risk after curative resection of intrahepatic cholangiocarcinoma (ICC) through artificial intelligence (AI)-based CT radiomics approach. MATERIALS AND METHODS: A total of 311 patients (Derivation: 160; Internal and two external validations: 36, 74 and 61) from 8 medical centers who underwent curative resection were collected retrospectively. In derivation cohort, radiomics and clinical-radiomics models for ER prediction were constructed by LightGBM (a machine learning algorithm). A clinical model was also developed for comparison. Model performance was validated in internal and two external cohorts by ROC. In addition, we investigated the interpretability of the LightGBM model. RESULTS: The combined clinical-radiomics model that included 15 radiomic features and 3 clinical features (CA19-9 > 1000 U/ml, vascular invasion and tumor margin), resulting in the area under the curves (AUCs) of 0.974 (95% CI 0.946-1.000) in the derivation cohort, and 0.871-0.882 (95% CI 0.672-0.962) in the internal and external validation cohorts, respectively, which are higher than the AJCC 8th TNM staging system (AUCs: 0.686-0.717, p all < 0.05). Especially, the sensitivity of this machine learning model could reach 94.6% on average for all the cohorts. CONCLUSIONS: This AI-driven combined radiomics model may provide as a useful tool to preoperatively predict ER and improve therapeutic management of ICC patients.

Novel index for the prediction of significant liver fibrosis and cirrhosis in chronic hepatitis B patients in China.

BACKGROUND: Noninvasive, practical, and convenient means of detection for the prediction of liver fibrosis and cirrhosis in China are greatly needed. AIM: To develop a precise noninvasive test to stage liver fibrosis and cirrhosis. METHODS: With liver biopsy as the gold standard, we established a new index, [alkaline phosphatase (U/L) + gamma-glutamyl transpeptidase (U/L)/platelet (109/L) (AGPR)], to predict liver fibrosis and cirrhosis. In addition, we compared the area under the receiver operating characteristic curve (AUROC) of AGPR, gamma-glutamyl transpeptidase to platelet ratio, aspartate transaminase to platelet ratio index, and FIB-4 and evaluated the accuracy of these routine laboratory indices in predicting liver fibrosis and cirrhosis. RESULTS: Correlation analysis revealed a significant positive correlation between AGPR and liver fibrosis stage (P < 0.001). In the training cohort, the AUROC of AGPR was 0.83 (95%CI: 0.78-0.87) for predicting fibrosis (≥ F2), 0.84 (95%CI: 0.79-0.88) for predicting extensive fibrosis (≥ F3), and 0.87 (95%CI: 0.83-0.91) for predicting cirrhosis (F4). In the validation cohort, the AUROCs of AGPR to predict ≥ F2, ≥ F3 and F4 were 0.83 (95%CI: 0.77-0.88), 0.83 (95%CI: 0.77-0.89), and 0.84 (95%CI: 0.78-0.89), respectively. CONCLUSION: The AGPR index should become a new, simple, accurate, and noninvasive marker to predict liver fibrosis and cirrhosis in chronic hepatitis B patients.

Preoperative Radiomics Analysis of Contrast-Enhanced CT for Microvascular Invasion and Prognosis Stratification in Hepatocellular Carcinoma.

Purpose: Microvascular invasion (MVI) impairs long-term prognosis of patients with hepatocellular carcinoma (HCC). We aimed to develop a novel nomogram to predict MVI and patients' prognosis based on radiomic features of contrast-enhanced CT (CECT). Patients and Methods: HCC patients who underwent curative resection were enrolled. The radiomic features were extracted from the region of tumor, and the optimal MVI-related radiomic features were selected and applied to construct radiomic signature (Rad-score). The prediction models were created according to the logistic regression and evaluated. Biomarkers were analyzed via q-PCR from randomly selected HCC patients. Correlations between biomarkers and radiomic signature were analyzed. Results: A total of 421 HCC patients were enrolled. A total of 1962 radiomic features were extracted from the region of tumor, and the 11 optimal MVI-related radiomic features showed a favor predictive ability with area under the curves (AUCs) of 0.796 and 0.810 in training and validation cohorts, respectively. Aspartate aminotransferase (AST), tumor number, alpha-fetoprotein (AFP) level, and radiomics signature were independent risk factors of MVI. The four factors were integrated into the novel nomogram, named as CRM, with AUCs of 0.767 in training cohort and 0.793 in validation cohort for predicting MVI, best among radiomics signature alone and clinical model. The nomogram was well-calibrated with favorable clinical value demonstrated by decision curve analysis and can divide patients into high- or low-risk subgroups of recurrence and mortality. In addition, gene BCAT1, DTGCU2, DOCK3 were analyzed via q-PCR and serum AFP were identified as having significant association with radiomics signature. Conclusion: The novel nomogram demonstrated good performance in preoperatively predicting the probability of MVI, which might guide clinical decision.

Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study.

Background: The most commonly acknowledged non-scarring alopecia are androgenetic alopecia (AGA) and alopecia areata (AA). Previous studies have revealed various risk factors associated with alopecia. However, the relationship between leukocyte telomere length (LTL) and non-scarring alopecia remains unclear. Methods: A two-sample Mendelian randomization (MR) analysis was performed to evaluate the causality between genetically predicted LTL and the risk of non-scarring alopecia. MR analyses were performed using the inverse variance-weighted (IVW) method and complemented with other MR methods. Results: The summary statistics of the genome-wide association studies (GWAS) for AGA and AA were obtained from the FinnGen biobank, which included 119,185 and 211,428 individuals, respectively. A total of 126 single nucleotide polymorphisms (SNPs) with genome-wide significance were selected as the instrumental variables for LTL. The MR analyses suggested a causal relationship between LTL and AGA, and the risk of AGA increased by 3.19 times as the genetically predicted LTL was shortened by one standard deviation in log transformed form under the IVW method (OR = 4.19, 95% CI = 1.20-14.61, p = 0.024). The other MR methods also demonstrated a similar trend of the effect of LTL on AGA. There was no causal relationship between LTL and AA (p > 0.05). Sensitivity analyses further demonstrated that the current results were less likely to be affected by confounders and bias. Conclusion: Our results suggested a potential causal relationship between LTL and AGA, and shortened LTL was associated with an increased risk of AGA.

A Novel Post-Operative ALRI Model Accurately Predicts Clinical Outcomes of Resected Hepatocellular Carcinoma Patients.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the leading malignant tumors worldwide. Prognosis and long-term survival of HCC remain unsatisfactory, even after radical resection, and many non-invasive predictors have been explored for post-operative patients. Most prognostic prediction models were based on preoperative clinical characteristics and pathological findings. This study aimed to investigate the prognostic value of a newly constructed nomogram, which incorporated post-operative aspartate aminotransferase to lymphocyte ratio index (ALRI). METHODS: A total of 771 HCC patients underwent radical resection from three medical centers were enrolled and grouped into the training cohort (n = 416) and validation cohort (n = 355). Prognostic prediction potential of ALRI was assessed by receiver operating curve (ROC) analysis. The Cox regression model was used to identify independent prognostic factors. Nomograms for overall survival (OS) and disease-free survival (DFS) were constructed and further validated externally. RESULTS: The ROC analysis ranked ALRI as the most effective prediction marker for resected HCC patients, with the cut-off value determined at 22.6. Higher ALRI level positively correlated with larger tumor size, higher tumor node metastasis (TNM) stage, and inversely with lower albumin level and shorter OS and DFS. Nomograms for OS and DFS were capable of discriminating HCC patients into different risk-groups. CONCLUSIONS: Post-operative ALRI was of prediction value for HCC prognosis. This novel nomogram may categorize HCC patients into different risk groups, and offer individualized surveillance reference for post-operative patients.

The Significance of Gamma-Glutamyl Transpeptidase to Lymphocyte Count Ratio in the Early Postoperative Recurrence Monitoring and Prognosis Prediction of AFP-Negative Hepatocellular Carcinoma.

BACKGROUND: Currently, there is still a lack of effective biomarkers for the recurrence monitoring and survival prognosis assessment of hepatocellular carcinoma (HCC) patients with alpha-fetoprotein (AFP)-negative (≤20 ng/mL) after radical resection. METHODS: The clinicopathological data of 606 patients (303 in the AFP-negative group and 303 in the AFP-positive group) who underwent radical resection of HCC were analyzed retrospectively. RESULTS: The gamma-glutamyl transpeptidase to lymphocyte count ratio (GLR) of patients in the AFP-negative group was lower than that in the AFP-positive group (p <0.001). The GLR level of the early-recurrence group was higher than that of the non-early-recurrence group (p =0.003). GLR had fair accuracy in predicting the early-recurrence of HCC patients [c-index=0.654 (95% CI=0.606-0.702); AUC=0.681 (95% CI=0.625-0.733)]. Univariate analysis showed that patients with tumor size <5 cm, no microvascular invasion, single tumor, no metastasis, BCLC stage 0-A, no recurrence, and GLR ≤45.0 had longer disease-free survival (DFS) and overall survival (OS) among AFP-negative HCC patients. In addition, multivariate Cox proportional hazards regression analysis showed that tumor size <5 cm (p =0.003), no recurrence (p <0.001), and GLR <45.0 (p <0.001) were independent predictors of longer OS. CONCLUSION: GLR may be a potential indicator for early recurrence monitoring and prognosis evaluation in HCC patients with AFP-negative after radical resection.

Effect of Pegylated Interferon Plus Tenofovir Combination on Higher Hepatitis B Surface Antigen Loss in Treatment-naive Patients With Hepatitis B e Antigen -positive Chronic Hepatitis B: A Real-world Experience.

PURPOSE: The loss of serum hepatitis B surface antigen (HBsAg) in patients with chronic hepatitis B (CHB) is considered an ideal clinical outcome but rarely achieved with current standard of care. We evaluated the effectiveness in inducing HBsAg seroclearance in a real-world clinical cohort of Chinese patients with CHB treated with a combination of pegylated interferon (Peg-IFN) with tenofovir disoproxil fumarate (TDF) or monotherapy with each agent. METHODS: A total of 330 patients with CHB were assigned to receive Peg-IFN plus TDF for 48 weeks (Peg-IFN plus TDF group), Peg-IFN alone for 48 weeks (Peg-IFN group), or TDF alone for 144 weeks (TDF group). The primary end point was the percentages of patients who achieved HBsAg seroclearance at week 72. Differences from the baseline characteristics and treatment data were compared using the χ2 test for categorical variables or 1-way ANOVA for continuous variables. A Kaplan-Meier test was performed to compare the HBsAg loss among the 3 groups. Discrimination of responders versus nonresponders was quantified using AUC curves. Optimal cut-offs were selected based on Youden's J statistic defined as J = sensitivity + specificity-1. FINDINGS: At week 72, the Kaplan-Meier cumulative HBsAg loss was 11.5% in the Peg-IFN plus TDF group, 5.7% in the Peg-IFN group, and 0% in the TDF group. The percentage of patients with HBsAg loss was comparable in the Peg-IFN plus TDF and Peg-IFN groups (P = 0.143), but both were significantly higher than that in the TDF group (P = 0.000 and P = 0.010). In addition, a significantly higher percentage of patients in the combination group and Peg-IFN group had serum HBsAg of <100 IU/mL compared with the TDF group (32.7% vs 23.6% vs 9.2%; P < 0.001) but no significant differences in the percentages of patients with HBsAg <1000 IU/mL, the undetectable serum HBV DNA and hepatitis B e antigen seroconversion. Our model predicted serum HBsAg loss at week 72 (AUC = 0.846) if the HBsAg level was reduced by > 1.5 log10 IU/mL from baseline at treatment week 24, an optimal timepoint for prediction of HBsAg loss in this cohort. IMPLICATIONS: A 48-week course of Peg-IFN and TDF combination therapy led to profound reduction in serum HBsAg level, resulting in a significantly higher rate of HBsAg loss compared with TDF monotherapy. Patients with steep HBsAg decline >1.5 log10 IU/mL at week 24 well signaled a higher probability of achieving HBsAg loss at week 72.

Fibrinogen/Lymphocyte Count Ratio Can Be Used as a New Indicator of Prognosis in Patients with Hepatocellular Carcinoma After Radical Resection.

PURPOSE: Preoperative fibrinogen levels are associated with the development, recurrence and metastasis of malignant tumors. This study was designed to investigate the clinical value of preoperative fibrinogen/lymphocyte count ratio (FLR) index in hepatocellular carcinoma (HCC). PATIENTS AND METHODS: The clinical data of 479 patients with HCC who underwent radical resection were retrospectively analyzed. The correlation between FLR and clinicopathological features was analyzed by chi-square test or non-parametric test. The overall survival (OS) and progression-free survival (PFS) were analyzed by Kaplan-Meier method. RESULTS: The optimal cut-off value of FLR was determined as 1.6 according to the receiver operating characteristic curve (ROC) analysis, in order to predict prognosis for HCC patients after radical resection. It was further found that FLR level was correlated with tumor size, TNM stage, microvascular invasion and prognosis. Multivariate Cox regression analyses found that FLR was an independent predictor for postoperative OS (overall survival) (p = 0.002) and PFS (progression-free survival) (p = 0.001) in patients with HCC; and the 1-, 3- and 5-year OS and PFS of HCC patients in the FLR ≤1.6 level group were significantly higher than those in the FLR >1.6 level group. CONCLUSION: Preoperative FLR level is a novel and effective predictor of prognosis in patients with HCC, and elevated FLR level is associated with poor prognosis in patients with HCC.

Correlation Analysis Between Preoperative Serum Iron Level and Prognosis as Well as Recurrence of HCC After Radical Resection.

BACKGROUND: The purpose of this retrospective study was to investigate the relationship between serum iron levels and the prognosis and risk of recurrence in patients with hepatocellular carcinoma (HCC). METHODS: A total of 253 HCC patients who underwent radical resection were involved in this study. RESULTS: According to the receiver operating characteristic (ROC) curve, the optimal cut-off value for preoperative serum iron in the assessment of HCC postoperative prognosis was 94 ug/dL. The overall survival (OS) of patients in the high iron group was significantly better than that in the low iron group (p < 0.001). The recurrence rate of patients in the low iron group was higher than that in the high iron group (p = 0.011). Correlation analysis showed that preoperative serum iron level was correlated with tumor size >5 cm (χ 2 = 11.590, p < 0.001), recurrence (χ 2 = 5.714, p = 0.017) and microvascular invasion (χ 2 = 5.087, p = 0.024). In addition, univariate analysis showed that OS and disease-free survival (DFS) of HCC patients with high iron level were better than those with low iron level. Furthermore, multivariate COX proportional hazards regression analysis showed that serum iron ≤94 µg/dL, tumor size >5 cm, and microvascular invasion were independent predictors for shorter OS and DFS in HCC patients after operation, while recurrence was for shorter OS. CONCLUSION: Patients with low preoperative serum iron level had worse postoperative survival and higher recurrence rate in HCC. Preoperative serum iron is an independent predictor of HCC patients. For HCC patients with low iron levels, prognosis of patients may be improved if appropriate iron is supplemented.

Data mining of the expression and regulatory role of BCAT1 in hepatocellular carcinoma.

Branched chain amino acid transaminase 1 (BCAT1) catalyzes the production of glutamates and branched-chain α-ketoacids from branched chain amino acids, and a normal BCAT1 expression is associated with tumorigenesis. Sequencing data from public databases, including The Cancer Genome Atlas, was used to analyze BCAT1 expression and regulation networks for hepatocellular carcinoma (HCC). Expression and methylation were assessed using UALCAN analysis, and data from multiple datasets concerning the BCAT1 expression level and associated survival rates were further analyzed using HCCDB; interaction networks of biological function were constructed using GeneMANIA. LinkedOmics was used to indicate correlations between BCAT1 and any identified differentially expressed genes. Gene enrichment analysis of BCAT-associated genes was conducted using the Web-based Gene SeT AnaLysis Toolkit. The expression levels of BCAT1 were increased in patients with HCC and in most cases, the level of BCAT1 promoter methylation was reduced. Interaction network analysis suggested that BCAT1 was involved in 'metabolism', 'carcinogenesis' and the 'immune response' via numerous cancer-associated pathways. The present study revealed the expression patterns and potential function networks of BCAT1 in HCC, providing insights for future research into the role of BCAT1 in hepatocarcinogenesis. In addition, the study provided researchers with a way to analyze the genes of interest so they can continue their research in the right direction.

Upregulation of miR­132­3p in cholangiocarcinoma tissues: A study based on RT­qPCR, The Cancer Genome Atlas miRNA sequencing, Gene Expression Omnibus microarray data and bioinformatics analyses.

MicroRNAs (miRNAs/miRs) have been reported to be closely associated with numerous human diseases, including cholangiocarcinoma (CCA). However, the number of miRNAs known to be involved in CCA is limited, and the association between miR­132­3p and CCA remains unknown. In the present study, the clinical role of miR­132­3p and its potential signaling pathways were investigated by multiple approaches. Reverse transcription­quantitative PCR (RT­qPCR), CCA­associated Gene Expression Omnibus (GEO), ArrayExpress and Sequence Read Archive (SRA) miRNA­microarray or miRNA­sequencing data were screened, and meta­analyses were conducted, in order to calculate the receiver operating characteristic (ROC) curve and standardized mean difference (SMD). The predicted target genes of miR­132­3p were obtained from 12 online databases and were combined with the downregulated differentially expressed genes identified in the RNA­sequencing data of CCA. Gene Ontology annotation and pathway analysis were performed in WebGestalt. Protein­protein interaction analyses were conducted in STRING. The Cancer Genome Atlas (TCGA) mRNA expression profiles were used to validate the expression levels of hub genes at the mRNA level. The Human Protein Atlas was used to identify the protein expression levels of hub genes in CCA tissues and non­tumor biliary epithelium. The meta­analyses comprised 10 groups of RT­qPCR data, eight GEO microarray datasets and one TCGA miRNA­sequencing dataset. The SMD of miR­132­3p in CCA was 0.75 (95% CI: 0.25, 1.24), which indicated that miR­132­3p was overexpressed in CCA tissues. This finding was supported by a summary ROC value of 0.80 (95% CI: 0.76, 0.83). The pooled sensitivity and specificity were 0.81 (95% CI: 0.59, 0.93) and 0.71 (95% CI: 0.58, 0.81), respectively. The relative expression level of miR­132­3p in the early stage of CCA (stages I­II) was 6.8754±0.5279, which was markedly lower than that in the advanced stage (stages III­IVB), 7.3034±0.3267 (P=0.003). Consistently, the miR­132­3p level in low­grade CCA (grades G1­G2) was 6.7581±0.5297, whereas it was 7.1191±0.4651 in patients with high­grade CCA (grades G3­G4) (P=0.037). Furthermore, 555 potential target genes of miR­132­3p in CCA were mainly enriched in the 'Focal Adhesion­PI3K­Akt­mTOR­signaling pathway'. In conclusion, upregulation of miR­132­3p may serve a pivotal role in the tumorigenesis and progression of CCA by targeting different pathways. Further in vitro and in vivo studies are required to support the current findings.

Prognostic Value of Gamma-Glutamyl Transpeptidase to Lymphocyte Count Ratio in Patients With Single Tumor Size ≤ 5 cm Hepatocellular Carcinoma After Radical Resection.

Prediction of prognosis of hepatocellular carcinoma (HCC) has shown an important role in improving treatment outcomes and preventing disease progression, however, the prognostic indicator of HCC is still lacking. The purpose of this study is to investigate the predictive value of GLR (gamma-glutamyl transpeptidase to lymphocyte count ratio) in single HCC with a tumor size (TS) ≤ 5 cm. A retrospective analysis was performed on 272 patients with TS ≤ 5 cm who underwent radical resection. The Pearson χ2 test was applied to discuss the relationship between HCC and GLR, alpha-fetoprotein (AFP). Then univariate and multivariate analysis was utilized to predict the risk factors for survival prognosis in patients. In this study, GLR showed a positive relation with tumor size, tumor-node-metastasis (TNM) stage, microvascular invasion, early recurrence, and serum aspartate aminotransferase (AST) level, while the AFP value only correlated with drinking. Elevated GLR value had poor overall survival (OS) and progression-free survival (PFS) of TS ≤ 5 cm HCC patients, GLR level and tumor size were closely related to the prognosis of small HCC patients compared with AFP. GLR may serve as a prognostic marker for dynamic monitoring of HCC patients with single TS ≤ 5 cm after radical resection.

Preoperative high-sensitivity C-reactive protein to lymphocyte ratio index plays a vital role in the prognosis of hepatocellular carcinoma after surgical resection.

BACKGROUND: At present, the predictive ability of the prognostic indicator of hepatocellular carcinoma (HCC) is still limited. This study aims to analyze the relationship between the preoperative high-sensitivity C-reactive protein to lymphocyte ratio (HCLR) and the clinicopathologic characteristics of HCC. PATIENTS AND METHODS: A total of 229 HCC patients undergoing surgical resection were retrospectively analyzed. The majority of the patients (132/229) had tumors larger than 5 cm, and 45 out of 229 had more than one tumor focus. Receiver operating characteristic curve analysis was used to decide the cutoff value of HCLR. The overall survival (OS) and progression-free survival (PFS) rates were evaluated by adopting the Kaplan-Meier method. RESULTS: The cutoff value of HCLR for the best discrimination of HCC prognosis was 1.3 with a sensitivity of 75.5% and a specificity of 71.8%. The area under the receiver operating characteristic curve was 0.791 (95% CI, 0.731-0.840). Preoperative HCLR at a high level (>1.3) was positively correlated with large tumor size, TNM stage, microvascular invasion, and recurrence. The mean OS and PFS in patients with HCLR >1.3 were significantly shorter than in those with HCLR ≤1.3. Univariate and multivariate analyses revealed the HCLR was an independent predictor of OS and PFS. CONCLUSION: HCLR was an important independent predictor of dismal prognosis in HCC patients and can be used as a sensitive indicator for the dynamic monitoring of postoperative patients.

Upregulation of RECQL4 expression predicts poor prognosis in hepatocellular carcinoma.

Previous cDNA microarray experiments revealed that the ATP-dependent DNA helicase Q4 (RECQL4) gene is overexpressed in hepatocellular carcinoma (HCC) tissues. However, the exact role of RECQL4 in HCC remains unknown. The present study aimed to investigate RECQL4 expression in HCC and to analyze the potential clinical implications of RECQL4 expression in HCC patients. The expression of RECQL4 mRNA was assessed in 205 samples of HCC tissues by reverse transcription-quantitative polymerase chain reaction. The results demonstrated that the expression of RECQL4 mRNA in HCC tissues was significantly higher compared with adjacent normal liver tissues (P<0.001). The level of RECQL4 mRNA expression was associated with high a-fetoprotein (AFP) levels (>100 ng/ml), tumor size (>6 cm), and Barcelona Clinic Liver Cancer stage (all P<0.05). Kaplan-Meier survival analysis indicated that HCC patients with higher levels of RECQL4 expression exhibited significantly shorter disease-free survival (DFS) and overall survival (OS) times compared with those with low levels of expression. Multivariate survival analysis revealed that high RECQL4 expression was a significant independent predictor for DFS [HR, 1.635; 95% confidence interval (CI), 1.062-2.515; P=0.025] and OS (HR, 1.618; 95% CI, 1.050-2.493; P=0.029) of HCC patients. These data indicated that RECQL4 might be a novel diagnostic and prognostic biomarker for HCC patients.

The role of kinesin KIF18A in the invasion and metastasis of hepatocellular carcinoma.

BACKGROUND: KIF18A is associated with a variety of tumours; however, the specific mechanism of action of KIF18A in hepatocellular carcinoma (HCC) remains unclear. In this study, in vitro and in vivo experiments were performed with the aim of exploring the potential function and molecular mechanism of kinesin KIF18A in the occurrence and development of HCC. METHODS: We detected the expression of KIF18A in tumour and adjacent tissues as well as cell proliferation, cell invasion and migration in hepatoma cells after silencing KIF18A. KIF18A-silenced hepatoma cells were subcutaneously injected into nude mice to verify the tumorigenicity of KIF18A. We also detected the expression of signal pathway-related proteins in hepatoma cells after KIF18A knockdown with the aim of exploring the association between KIF18A and related signalling pathways. RESULTS: The level of KIF18A protein was higher in liver cancer tissues than adjacent tissues. After silencing KIF18A in SMMC-7721 and HepG2 cells, cell growth was obviously inhibited; the migration and invasion abilities were significantly decreased and the in vivo tumour weight was decreased compared to the control group (0.201 ± 0.088 g vs 0.476 ± 0.126 g, p = 0.009). The expression of cell cycle-related protein (cyclin B1), invasion and metastasis-related proteins (MMP-7 and MMP-9) and Akt-related proteins in hepatoma cells was also decreased after knocking down KIF18A. CONCLUSIONS: KIF18A may promote proliferation, invasion and metastasis of HCC cells by promoting the cell cycle signalling pathway as well as the Akt and MMP-7/MMP-9-related signalling pathways and may serve as a new target for the diagnosis and treatment of HCC.

A novel prognostic index-neutrophil times γ-glutamyl transpeptidase to lymphocyte ratio (NγLR) predicts outcome for patients with hepatocellular carcinoma.

Clinical outcomes of patients with hepatocellular carcinoma (HCC) are highly variable. This study aims to identify and validate a simple, readily available, and objective prognostic index for the management of HCC. Data from 724 HCC patients undergoing curative resection were evaluated and randomly divided into two cohorts for building and validating the prognostic index. A best model, NγLR = (neutrophil count [109/L] × Î³-glutamyl transpeptidase [U/L]) /(lymphocyte count [109/L] × U/L), was selected. An optimal cut-off value of 103.6 for NγLR stratified patients into high NγLR (>103.6) and low NγLR (≤103.6) groups. NγLR > 103.6 was closely associated with HCC malignant characteristics. Elevated NγLR predicted a worse overall survival (OS) and progression-free survival (PFS) for HCC patients and remained an independent predictor for both types of survival. Moreover, early recurrence rates in patients with NγLR > 103.6 were higher than that in patients with NγLR ≤ 103.6 (P < 0.0001). NγLR was an important independent predictor of survival for HCC patients and might be a new promising method to identify patients at different risks of early recurrence and survival after curative resection.