scholarly journals Predictive Value of F-SIRI in Prognosis of Patients with Hepatocellular Carcinoma after Radical Hepatectomy

2021 ◽  
Author(s):  
hu panyi ◽  
Yongwei Zhang ◽  
yeben qian
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Predictive Value ◽  
Cox Regression ◽  
Clinicopathological Characteristics ◽  
Tumor Diameter ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
High Level ◽  
The Relationship

Abstract Background: Objective to evaluate the predictive value of preoperative fibrinogen and systemic inflammatory response index (F-SIRI) in the prognosis of patients with hepatocellular carcinoma after radical hepatectomy. Methods: the clinical data of 298 patients with hepatocellular carcinoma who underwent surgery and confirmed by postoperative pathology in our hospital from January 2015 to December 2017 were retrospectively analyzed. The F-SIRI score was calculated according to FIB and SIRI data of peripheral blood. The relationship between F-SIRI score and clinicopathological characteristics was analyzed. The survival analysis was performed by Kaplan Meier method, Cox regression analysis was used to analyze the prognostic factors. Results: preoperative F-SIRI score was correlated with tumor diameter, FIB and SIRI (P<0.05), but not with age, gender, TNM stage and other clinical features (P>0.05). There were significant differences in the 5-year DFS rate and OS rate among patients with different preoperative F-SIRI scores(P<0.05); Cox regression analysis showed that preoperative tumor diameter, alpha fetoprotein level and F-SIRI score were independent predictors of DFS in patients with HCC (P< 0.05), while preoperative tumor diameter, ALB and F-SIRI score as independent predictors of OS (P<0.05). Conclusion: preoperative F-SIRI is an independent prognostic factor in patients with HCC after radical hepatectomy, with poor prognosis in patients with high level of F-SIRI.

Development and Validation of Prognostic Nomograms Predicting Recurrence and Survival in Patients with Solitary Hepatocellular Carcinoma Following Curative Liver Resection

2021 ◽  
Author(s):  
Xinxin Chen ◽  
Wenxia Qiu ◽  
Xuekun Xie ◽  
Zefeng Chen ◽  
Zhiwei Han ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Resection ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
Tumor Diameter ◽  
Cox Regression Analysis ◽  
Tumor Capsule ◽  
Calibration Curves ◽  
Solitary Hepatocellular Carcinoma

Abstract Background: This work was designed to establish and verify our nomograms integrating clinicopathological characteristics with hematological biomarkers to predict both disease-free survival (DFS) and overall survival (OS) in solitary hepatocellular carcinoma (HCC) patients following hepatectomy.Methods: We scrutinized the data retrospectively from 414 patients with a clinicopathological diagnosis of solitary HCC from Guangxi Medical University Cancer Hospital (Nanning, China) between January 2004 and December 2012. Following the random separation of the samples in a 7:3 ratio into the training set and validation set, the former set was assessed by Cox regression analysis to develop two nomograms to predict the 1-year and 3-year DFS and OS (3-years and 5-years). This was followed by discrimination and calibration estimation employing Harrell’s C-index (C-index) and calibration curves, while the internal validation was also assessed.Results: In the training cohort, the tumor diameter, tumor capsule, macrovascular invasion, and alpha-fetoprotein (AFP) were included in the DFS nomogram. Age, tumor diameter, tumor capsule, macrovascular invasion, microvascular invasion, and aspartate aminotransferase (AST) were included in the OS nomogram. The C-index was 0.691 (95% CI: 0.644-0.738) for the DFS-nomogram and 0.713 (95% CI: 0.670-0.756) for the OS-nomogram. The survival probability calibration curves displayed a fine agreement between the predicted and observed ranges in both data sets. Conclusion: Our nomograms combined clinicopathological features with hematological biomarkers to emerge effective in predicting the DFS and OS in solitary HCC patients following curative liver resection. Therefore, the potential utility of our nomograms for guiding individualized treatment clinically and monitor the recurrence monitoring in these patients.

scholarly journals NDRG3 overexpression is associated with a poor prognosis in patients with hepatocellular carcinoma

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Ji-sheng Jing ◽  
Hongbo Li ◽  
Shun-cai Wang ◽  
Jiu-ming Ma ◽  
La-qing Yu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Survival Curve ◽  
Disease Free Survival ◽  
Prognostic Indicator ◽  
Clinicopathological Characteristics ◽  
Pcr Analysis ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
The Relationship

N-myc downstream-regulated gene 3 (NDRG3), an important member of the NDRG family, is involved in cell proliferation, differentiation, and other biological processes. The present study analyzed NDRG3 expression in hepatocellular carcinoma (HCC) and explored the relationship between expression of NDRG3 in HCC patients and their clinicopathological characteristics. We performed quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR) analysis and immunohistochemistry (IHC) analyses on HCC tissues to elucidate NDRG3 expression characteristics in HCC patients. Kaplan–Meier survival curve and Cox regression analyses were used to evaluate the prognoses of 102 patients with HCC. The results revealed that compared with non-tumor tissues, HCC tissues showed significantly higher NDRG3 expression. In addition, our analyses showed that NDRG3 expression was statistically associated with tumor size (P=0.048) and pathological grade (P=0.001). Survival analysis and Kaplan–Meier curves revealed that NDRG3 expression is an independent prognostic indicator for disease-free survival (P=0.002) and overall survival (P=0.005) in HCC patients. The data indicate that NDRG3 expression may be considered as a oncogenic biomarker and a novel predictor for HCC prognosis.

scholarly journals Screening Prognosis-Related lncRNAs Based on WGCNA to Establish a New Risk Score for Predicting Prognosis in Patients with Hepatocellular Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Xueliang Zhou ◽  
Mengmeng Dou ◽  
Zaoqu Liu ◽  
Dechao Jiao ◽  
Zhaonan Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Scoring System ◽  
Normal Tissue ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Risk Scoring ◽  
Risk Scoring System

Background. Hepatocellular carcinoma (HCC) remains an important cause of cancer death. The molecular mechanism of hepatocarcinogenesis and prognostic factors of HCC have not been completely uncovered. Methods. In this study, we screened out differentially expressed lncRNAs (DE lncRNAs), miRNAs (DE miRNAs), and mRNAs (DE mRNAs) by comparing the gene expression of HCC and normal tissue in The Cancer Genome Atlas (TCGA) database. DE mRNAs were used to perform Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Then, the miRNA and lncRNA/mRNA modules that were most closely related to the survival time of patients with HCC were screened to construct a competitive endogenous RNA (ceRNA) network by weighted gene coexpression network analysis (WGCNA). Moreover, univariable Cox regression and Kaplan-Meier curve analyses of DE lncRNAs and DE mRNAs were conducted. Finally, the lasso-penalized Cox regression analysis and nomogram model were used to establish a new risk scoring system and predict the prognosis of patients with liver cancer. The expression of survival-related DE lncRNAs was verified by qRT-PCR. Results. A total of 1896 DEmRNAs, 330 DElncRNAs, and 76 DEmiRNAs were identified in HCC and normal tissue samples. Then, the turquoise miRNA and turquoise lncRNA/mRNA modules that were most closely related to the survival time of patients with HCC were screened to construct a ceRNA network by WGCNA. In this ceRNA network, there were 566 lncRNA-miRNA-mRNA regulatory pairs, including 30 upregulated lncRNAs, 16 downregulated miRNAs, and 75 upregulated mRNAs. Moreover, we screened out 19 lncRNAs and 14 hub mRNAs related to prognosis from this ceRNA network by univariable Cox regression and Kaplan-Meier curve analyses. Finally, a new risk scoring system was established by selecting the optimal risk lncRNAs from the 19 prognosis-related lncRNAs through lasso-penalized Cox regression analysis. In addition, we established a nomogram model consisting of independent prognostic factors to predict the survival rate of HCC patients. Finally, the correlation between the risk score and immune cell infiltration and gene set enrichment analysis were determined. Conclusions. In conclusion, the results may provide potential biomarkers or therapeutic targets for HCC and the establishment of the new risk scoring system and nomogram model provides the new perspective for predicting the prognosis of HCC.

Abstract TP459: Neutrophil-to-Lymphocyte Ratio Predicts the Outcome of Cerebral Venous Thrombosis

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Kai Liu ◽  
Shen Li ◽  
Bo Song ◽  
Yu Xu
Keyword(s):  
Multivariate Analysis ◽  
Regression Analysis ◽  
Venous Thrombosis ◽  
Functional Outcome ◽  
Cerebral Venous Thrombosis ◽  
Cox Regression ◽  
Poor Functional Outcome ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
The Relationship

Background: Increasing evidences suggest that neutrophil-to- lymphocyte ratio (NLR) is an independent predictor of poor prognosis in patients with cardiovascular disease. However, it is not clear about the relationship between NLR and prognosis in patients with cerebral venous thrombosis (CVT). Methods: Consecutive CVT patients from November 2011, through January 2017 were retrospectively identified. Unfavorable outcome was defined as modified Rankin Scale (mRS) of 3-6. Multivariate analysis and Cox regression analysis were conducted to evaluate the predictive value of NLR for unfavorable prognosis. Results: A total of 223 CVT patients were included. Multivariate analysis suggested that elevated NLR value, as a continuous variable, was significantly associated with a high risk of poor outcome (adjusted odds ratio [OR]=1.106, 95% confidence intervals [CI] 1.012-1.207, P = 0.025) and mortality (adjusted OR = 1.118; 95% CI, 1.017-1.230; P = 0.021).Receiver operating curve (ROC) analysis showed that the area under the ROC curves for NLR was 0.753 and the optimal cut-off value was 4.8 (sensitivity 81.1%, specificity 62.4%).Multivariate Cox regression analysis demonstrated that NLR>4.8 increased the risk of mortality (adjusted hazard ratio[HR]=6.111, 95% CI 1.680-22.232, P =0.006) and multivariate analysis further showed that NLR>4.8 was a significant predictor of poor functional outcome (adjusted OR=3.607, 95% CI 1.307-9.957, P =0.013). Conclusions: Elevated NLR value is associated with the long-term poor functional outcome and mortality. Future well-designed studies and experiments are needed to confirm the relationship and explore the potential mechanisms. Table 1 Results of multivariate logistic regression analysis ofpredictors for poor clinical outcome in CVTpatients. WBC,white blood cell; ANC, absolute neutrophil count; ALC, absolute lymphocyte count; *The multivariate model is adjusted for age, sex, coma, intracerebral hemorrhage, and straight sinus and/or deep CVT Figure 1. Kaplan-Meier curves of patients stratified according to the NLR value. The Kaplan-Meier curves showed a significant difference between the NLR>4.8 and NLR≤4.8 categories.

scholarly journals Integrated Analysis of lncRNA-Mediated ceRNA Network Reveals a Prognostic Signature for Hepatocellular Carcinoma

2020 ◽  
Vol 11 ◽  
Author(s):  
Jian-Rong Sun ◽  
Chen-Fan Kong ◽  
Kun-Min Xiao ◽  
Jia-Lu Yang ◽  
Xiang-Ke Qu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Cox Regression ◽  
Tnm Stage ◽  
The Cancer Genome Atlas ◽  
Integrated Analysis ◽  
Cox Regression Analysis ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Risk Patients

Hepatocellular carcinoma (HCC) is one of the most common types of malignancy and is associated with high mortality. Prior research suggests that long non-coding RNAs (lncRNAs) play a crucial role in the development of HCC. Therefore, it is necessary to identify lncRNA-associated therapeutic biomarkers to improve the accuracy of HCC prognosis. Transcriptomic data of HCC obtained from The Cancer Genome Atlas (TCGA) database were used in the present study. Differentially expressed RNAs (DERNAs), including 74 lncRNAs, 16 miRNAs, and 35 mRNAs, were identified using bioinformatics analysis. The DERNAs were subsequently used to reconstruct a competing endogenous RNA (ceRNA) network. A lncRNA signature was revealed using Cox regression analysis, including LINC00200, MIR137HG, LINC00462, AP002478.1, and HTR2A-AS1. Kaplan-Meier plot demonstrated that the lncRNA signature is highly accurate in discriminating high- and low-risk patients (P &lt; 0.05). The area under curve (AUC) value exceeded 0.7 in both training and validation cohort, suggesting a high prognostic potential of the signature. Furthermore, multivariate Cox regression analysis indicated that both the TNM stage and the lncRNA signature could serve as independent prognostic factors for HCC (P &lt; 0.05). Then, a nomogram comprising the TNM stage and the lncRNA signature was determined to raise the accuracy in predicting the survival of HCC patients. In the present study, we have introduced a ceRNA network that could contribute to provide a new insight into the identification of potential regulation mechanisms for the development of HCC. The five-lncRNA signature could serve as a reliable biosignature for HCC prognosis, while the nomogram possesses strong potential in clinical applications.

scholarly journals Rab25 Acts as a Promising Novel Bio-Marker in the Prognosis of Patients with Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Zhong Dai ◽  
Ke-Qing Yao ◽  
Xing-Sheng Hu ◽  
Yi-Qun Li ◽  
Yu-Tao Liu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Value ◽  
Cox Regression ◽  
Rank Test ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Chi Square Test ◽  
The Relationship

Abstract Background: Rab25 was indicated to be involved in several human tumors. However, the clinical significance of Rab25 in hepatocellular carcinoma (HCC) was still unclear. The purpose of this study was to investigate the expression and prognostic value of Rab25 in HCC.Methods: The relative mRNA expression levels of Rab25 in HCC tissues and adjacent normal tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was used to analyze the relationship between Rab25 expression and clinical characteristics of patients. The prognostic value of Rab25 in HCC was estimated through Kaplan-Meier method and cox regression analysis.Results: Rab25 gene expression level was significantly higher in HCC tissues than that in normal tissues (P<0.001). Importantly, the increased Rab25 expression was closely associated with TNM stage (P=0.024), metastasis (P=0.022) and invasion classification (P=0.039). Moreover, patients with high Rab25 expression tended to have obviously shorter overall survival than those with low expression of Rab25 (log rank test, P<0.001) via Kaplan-Meier analysis. Univariate and multivariate cox regression analyses revealed that Rab25 was an independent prognostic factor of HCC.Conclusions: Rab25 is up-regulated in HCC and contributes to the progression of this tumor. What’s more, Rab25 may be a potential bio-marker for the prognosis of HCC.

scholarly journals TINCR expression is associated with unfavorable prognosis in patients with hepatocellular carcinoma

2017 ◽  
Vol 37 (4) ◽  
Author(s):  
Feng Tian ◽  
Jian Xu ◽  
Fangxi Xue ◽  
Encui Guan ◽  
Xiaoguang Xu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Prognostic Indicator ◽  
Clinicopathological Characteristics ◽  
Cox Regression Analysis ◽  
Functional Roles ◽  
Kaplan Meier ◽  
Promising Target ◽  
Differentiation Status

Emerging evidence are accumulating that long noncoding RNAs (lncRNAs) have recently been identified to participate in various cellular processes. Terminal differentiation induced ncRNA (TINCR) is a newly identified lncRNA with its functional roles not fully elucidated in human malignancy. The current study aims to identify the clinical significance of TINCR in prognosis and malignant progression of hepatocellular carcinoma (HCC). TINCR expression in HCC specimens at various stages of tumorigenesis were measured by quantitative real-time RT PCR (qRT-PCR). The matched para-carcinoma tissues were used as controls. The associations of TINCR with clinicopathological characteristics, disease-free survival (DFS) and overall survival (OS) of patients were further evaluated. Results revealed that high TINCR expression was significantly correlated with tumor size (P=0.005), tumor differentiation status (P=0.017), TNM stage (P=0.010), and vascular invasion (P=0.004). Moreover, Kaplan–Meier analysis demonstrated that TINCR was correlated to both DFS and OS in HCC cohorts. Patients with high TINCR expression tended to have worse prognosis. Multivariate Cox regression analysis indicated that TINCR was an independent poor prognostic indicator for DFS (HR =1.32, 95% CI: 1.00–1.57, P=0.000) and OS (HR =1.57, 95% CI: 1.30–1.86, P=0.004) in HCC. TINCR was demonstrated as a direct target of miR-137 and miR-133a, and was suppressed by miR-137/miR-133a. These results provide the first evidence that the expression of TINCR in HCC may play an oncogenic role in HCC differentiation, invasion, and metastasis. miR-137/miR-133a-TINCR pathway may serve as a promising target for tumor recurrence and prognosis of patients with HCC.

scholarly journals Predictors of Complete Response in Patients with Hepatocellular Carcinoma Treated with Trans-Arterial Radioembolization

2021 ◽  
Vol 28 (1) ◽  
pp. 965-977
Author(s):  
Yuna Kim ◽  
Jae Seung Lee ◽  
Hye Won Lee ◽  
Beom Kyung Kim ◽  
Jun Yong Park ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Tumor Size ◽  
Cox Regression ◽  
Evaluation Criteria ◽  
Total Bilirubin Level ◽  
Complete Response ◽  
Meld Score ◽  
Tumor Diameter ◽  
Cox Regression Analysis

Background: Trans-arterial radioembolization (TARE) has shown promising results in treating hepatocellular carcinoma (HCC). We identified independent predictors of radiological complete response (CR) in patients with intrahepatic HCC who were treated with TARE. Methods: Patients with intrahepatic HCC treated with TARE between 2011 and 2017 were recruited. CR was defined according to the modified Response Evaluation Criteria in Solid Tumors. Cox regression analysis was used to determine independent predictors of CR. Results: The median age of study participants (83 men and 19 women) was 64.3 years. The mean survival after TARE was 55.5 months, and 21 (20.6%) patients died during the study period. Patients who achieved CR (14 patients, 13.7%) had significantly higher serum albumin level (median 4.1 vs. 3.9 g/dL), lower total bilirubin level (median 0.6 vs. 0.7 mg/dL), lower aspartate aminotransferase level (median 30.0 vs. 43.0 IU/L), lower alkaline phosphatase level (median 79.0 vs. 103.0 IU/L), lower alpha-fetoprotein level (median 12.7 vs. 39.9 ng/mL), lower des-gamma-carboxyprothrombin level (median 575.5 vs. 2772.0 mAU/mL), lower model for end-stage liver disease (MELD) score (median 6.0 vs. 7.0), and smaller maximal tumor diameter (median 6.3 vs. 9.0 cm) compared to those who did not achieve CR (all p < 0.005). Multivariate Cox regression analysis showed that lower MELD score (hazard ratio (HR) = 0.436, p = 0.015) and maximal tumor size < 9 cm (HR = 11.180, p = 0.020) were independent predictors of an increased probability of radiological CR after TARE. Conclusions: Low MELD score and small maximal tumor size were independently associated with an increased probability of CR after TARE in patients with intrahepatic HCC.

scholarly journals Screening prognosis-related lncRNAs based on WGCNA to establish a new risk score for predicting prognosis in patients with hepatocellular carcinoma

2020 ◽  
Author(s):  
Xueliang Zhou ◽  
Mengmeng Dou ◽  
Zaoqu Liu ◽  
Dechao Jiao ◽  
Zhaonan Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Scoring System ◽  
Normal Tissue ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Risk Scoring ◽  
Risk Scoring System

Abstract Background: Hepatocellular carcinoma (HCC) remains an important cause of cancer death. The molecular mechanism of hepatocarcinogenesis and prognostic factors of HCC have not been completely uncovered. Methods: In this study, we screened out differentially expressed lncRNAs (DE lncRNAs), miRNAs (DE miRNAs), and mRNAs (DE mRNAs) by comparing the gene expression of HCC and normal tissue in the The Cancer Genome Atlas (TCGA) database. DE mRNAs were used to perform gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Then, the miRNA and lncRNA/mRNA modules that were most closely related to the survival time of patients with HCC were screened to construct a competitive endogenous RNA (ceRNA) network by weighted gene coexpression network analysis (WGCNA). Moreover, univariable Cox regression and Kaplan-Meier curve analyses of DE lncRNAs and DE mRNAs were conducted. Finally, the lasso‐penalized Cox regression analysis and nomogram model were used to establish new risk scoring system and predict the prognosis of patients with liver cancer. Results: A total of 1896 DEmRNAs, 330 DElncRNAs, and 76 DEmiRNAs were identified in HCC and normal tissue samples. Then, the turquoise miRNA and turquoise lncRNA/mRNA modules that were most closely related to the survival time of patients with HCC were screened to construct a ceRNA network by WGCNA. In this ceRNA network, there were 566 lncRNA-miRNA-mRNA regulatory pairs, including 30 upregulated lncRNAs, 16 downregulated miRNAs and 75 upregulated mRNAs. Moreover, we screened out 19 lncRNAs and 14 hub mRNAs related to prognosis from this ceRNA network by univariable Cox regression and Kaplan-Meier curve analyses. Finally, a new risk scoring system was established by selecting the optimal risk lncRNAs from the 19 prognosis-related lncRNAs through lasso‐penalized Cox regression analysis. In addition, we established a nomogram model consisting of independent prognostic factors to predict the survival rate of HCC patients. Conclusions: In conclusion, the results may provide potential biomarkers or therapeutic targets for HCC, and the establishment of new risk scoring system and nomogram model provide the new perspective for predicting the prognosis of HCC.

scholarly journals Effects of miRNA-140 on the Growth and Clinical Prognosis of SMMC-7721 Hepatocellular Carcinoma Cell Line

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Cun-qing Kong ◽  
Xing-cai Chen ◽  
Guan-hua Qiu ◽  
Jing-chen Liang ◽  
Duo Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Cox Regression ◽  
Expression Level ◽  
Migration And Invasion ◽  
Clinical Prognosis ◽  
Cox Regression Analysis ◽  
Qrt Pcr ◽  
Kaplan Meier ◽  
Hcc Cells

Background. A growing number of studies have suggested that microRNAs exert an essential role in the development and occurrence of multiple tumours and act as crucial regulators in various biological processes. However, the expression and function of miRNA-140 in hepatocellular carcinoma (HCC) cells are not yet adequately identified and manifested. Methods. The expression of miRNA-140 was determined in HCC tissues and adjacent nontumour tissues by quantitative real-time polymerase chain reaction (qRT-PCR). Kaplan–Meier survival analysis and Cox regression analysis were performed to explore the correlation between miRNA-140 expression level and the survival rate of patients with HCC. Additionally, overexpression experiments were conducted to investigate the biological role of miRNA-140 in HCC cells. Bioinformatics was used to predict the related target genes and pathways of miRNA-140. Results. QRT-PCR results signified that the expression level of miRNA-140 in HCC was lower than that of adjacent normal tissues ( P < 0.0001 ). Compared with the control group, the SMMC-7721 HCC cells in the miRNA-140 mimic group had a decrease in proliferation, migration, and invasion ( P < 0.05 ), whereas those in the miRNA-140 inhibitor group had an increase in proliferation, migration, and invasion ( P < 0.05 ). Cell cycle arrest occurred in the G0/1 phase. Prognosis analysis showed that the expression level of miRNA-140 was not related to the prognosis of HCC. Furthermore, the Kaplan–Meier test revealed that patients with lower miRNA-140 expression levels in liver cancer tissue had significantly shorter disease-free survival (DFS, P = 0.004 ) and overall survival (OS) times ( P = 0.010 ) after hepatectomy. Cox regression analysis further indicated that miRNA-140 was an independent risk factor that may affect the DFS ( P = 0.004 ) and OS times ( P = 0.014 ) of patients after hepatectomy. Our results suggested that miRNA-140 might be a crucial regulator involved in the HCC progression and is thus considered a potential prognostic biomarker and therapeutic target for HCC.

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