Predictors of Survival in Hepatocellular Carcinoma Patients

Gökcan, Hale; Savas, Nurten; Öztuna, Derya; Moray, Gökhan; Boyvat, Fatih; Haberal, Mehmet

doi:10.12659/aot.894878

Cited by 18 publications

(16 citation statements)

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“…Previous studies have shown that contributors to HCC include liver cirrhosis, infection with hepatitis B/C virus (HBV/HCV), adiposity, aflatoxin contamination, excessive alcohol consumption, and environmental pollution [4]. Despite emerging therapies, including percutaneous ablation, liver transplantation, and the recently approved sorafenib (a systemic therapy for HCC), there is still no cure for HCC [1,5–8]. Therefore, the underlying molecular mechanisms involved in the development of HCC should be further explored to identify innovative therapeutic targets for HCC patients [9–11].…”

Section: Introductionmentioning

confidence: 99%

Expression of Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 1 (SNHG1) Exacerbates Hepatocellular Carcinoma Through Suppressing miR-195

et al. 2016

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BackgroundAberrant expression of lncRNA has been suggested to have an association with tumorigenesis. Our study was designed to reveal the underlying connection between lncRNA SNHG1 and hepatocellular carcinoma (HCC) pathogenesis.Material/MethodsA total of 122 pairs of HCC tissues (case group) and matched adjacent non-tumor liver tissues (control group) were collected for this study. RT-PCR and in situ hybridization were conducted to investigate differences in lncRNA SNHG1 expression between the case and control group. The expression levels of lncRNA SNHG1 and miR-195 in HepG2 cells transfected with SNHG1-mimic and SNHG1-inhibitor were measured by RT-PCR. The proliferation, invasion, and migration status of HepG2 cells after transfection were assessed through MTT assay, wound healing assay, and Transwell assay, respectively. Whether miR-195 is a direct downstream target of lncRNA SNHG1 was verified by both bioinformatics target gene prediction and dual-luciferase report assay.ResultsThe expression level of lncRNA SNHG1 was remarkably upregulated in HCC tissues and cell lines compared with normal tissues and cell lines. High expression of lncRNA SNHG1 contributed to the downregulation of miR-195 in HepG2 cells. Also, lncRNA SNHG1 exacerbated HCC cell proliferation, invasion, and migration in vitro through the inhibition of miR-195. This suggests that miR-195 is a direct downstream target of lncRNA SNHG1.ConclusionslncRNA SNHG1 may contribute to the aggravation of HCC through the inhibition of miR-195.

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Section: Introductionmentioning

confidence: 99%

Expression of Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 1 (SNHG1) Exacerbates Hepatocellular Carcinoma Through Suppressing miR-195

et al. 2016

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“…A total of 72 patients were enrolled during the study period. Clinical and demographic characteristics of the patients were shown in Table 1 , which revealed that recurrence and death all were correlated with hepatitis B surface antigen (HBsAg) expression; interestingly, age (60 years old was taken as cutoff value according to Gokcan’s study 32 ) and tumor stage were related to patients’ death only and seemed to have not any relationship with HCC recurrence; however, the differences of patients’ gender, tumor size (5 cm was considered as cutoff value according to Hwang’s study 33 ), hepatitis B e antigen (HBeAg) levels, histological grade, α-fetoprotein (AFP, 100 ng/dl was identified as cutoff value based on the Brian’s research 34 ) levels, intrahepatic metastasis, hepatic cirrhosis, and lesion location did not appear to have any correlation with prognosis (recurrence and death).…”

Section: Resultsmentioning

confidence: 99%

The combination of three molecular markers can be a valuable predictive tool for the prognosis of hepatocellular carcinoma patients

Chen

Ling

et al. 2016

Sci Rep

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Based on molecular profiling, several prognostic markers for HCC are also used in clinic, but only a few genes have been identified as useful. We collected 72 post-operative liver cancer tissue samples. Genes expression were tested by RT-PCR. Multilayer perceptron and discriminant analysis were built, and their ability to predict the prognosis of HCC patients were tested. Receiver operating characteristic (ROC) analysis was performed and multivariate analysis with Cox’s Proportional Hazard Model was used for confirming the markers’predictive efficiency for HCC patients’survival. A simple risk scoring system devised for further predicting the prognosis of liver tumor patients. Multilayer perceptron and discriminant analysis showed a very strong predictive value in evaluating liver cancer patients’prognosis. Cox multivariate regression analysis demonstrated that DUOX1, GLS2, FBP1 and age were independent risk factors for the prognosis of HCC patients after surgery. Finally, the risk scoring system revealed that patients whose total score >1 and >3 are more likely to relapse and die than patients whose total score ≤1 and ≤3. The three genes model proposed proved to be highly predictive of the HCC patients’ prognosis. Implementation of risk scoring system in clinical practice can help in evaluating survival of HCC patients after operation.

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“…For patient-related factors, age and KPS were identi ed as signi cant prognostic factors in our study and were included as predictors in the model. Advanced age has been widely reported to be associated with poor survival outcomes in HCC, regardless of the staging or therapeutic modes [28,29], but has never been explored in patients with HCC with spinal metastases. Previous studies used a variety of age cut points, ranging from 60 to 70 years old [27][28][29][30].…”

Section: Discussionmentioning

confidence: 99%

“…Advanced age has been widely reported to be associated with poor survival outcomes in HCC, regardless of the staging or therapeutic modes [28,29], but has never been explored in patients with HCC with spinal metastases. Previous studies used a variety of age cut points, ranging from 60 to 70 years old [27][28][29][30]. Our study is the rst one to demonstrate the effect of old age (> 60 years) on the survival of patients with HCC-derived spinal metastases.…”

Section: Discussionmentioning

confidence: 99%

Natural disease progression and novel survival prediction model for hepatocellular carcinoma with spinal metastases: a 10-year single-center study

Phinyo

Boonyanaruthee

Paholpak

et al. 2020

Preprint

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Background: Individual prediction of life expectancy in patients with spinal metastases from hepatocellular carcinoma (HCC) is key for optimal treatment selection, especially when identifying potential candidates for surgery. Most reported prognostic tools provide categorical predictions, and only a few include HCC-related factors. This study aimed to investigate the natural progression of the disease and develop a prognostic tool that is capable of providing individualized predictions.Methods: Patients with HCC-derived metastatic spinal disease were identified from a retrospective cohort of patients with spinal metastases who were diagnosed at Chiang Mai University Hospital between 2006 and 2015. Kaplain–Meier methods and log-rank tests were used to statistically evaluate potential factors. Significant predictors from univariable analysis were included in the flexible parametric survival regression for the development of a prognostic prediction model. Results: Of the 1,143 patients diagnosed with HCC, 69 (6%) had spinal metastases. The median survival time of patients with HCC after spinal metastases was 79 days. In the multivariable analysis, a total of 11 potential clinical predictors were included. After backward elimination, four final predictors remained: patients aged > 60 years, Karnofsky Performance Status, total bilirubin level, and multifocality of HCC. The model showed acceptable discrimination at C-statistics 0.73 (95% Confidence interval 0.68–0.79) and fair calibration. Conclusion: Four clinical parameters were used in the development of the individual survival prediction model for patients with HCC-derived spinal metastases of Chiang Mai University or HCC-SM CMU model. Prospective external validation studies in a larger population are required prior to the clinical implication of the model.

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Predictors of Survival in Hepatocellular Carcinoma Patients

Abstract: Survival was significantly better in patients who underwent liver transplantation or surgical resection. Tumor number, age, and serum albumin level were the most important prognostic factors related to overall survival.

Cited by 18 publications

References 0 publications

Expression of Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 1 (SNHG1) Exacerbates Hepatocellular Carcinoma Through Suppressing miR-195

Expression of Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 1 (SNHG1) Exacerbates Hepatocellular Carcinoma Through Suppressing miR-195

The combination of three molecular markers can be a valuable predictive tool for the prognosis of hepatocellular carcinoma patients

Natural disease progression and novel survival prediction model for hepatocellular carcinoma with spinal metastases: a 10-year single-center study

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