Search

Serum Golgi protein 73 (sGP73) is a candidate diagnostic biomarker for hepatocellular carcinoma (HCC). However, current evidence of its diagnostic value is conflicting, primarily due to the small sample sizes of previous studies, and its prognostic role in HCC also remains unclear. In the present study, sGP73 levels in 462 patients with HCC, 186 patients with liver cirrhosis, and 83 healthy controls were evaluated using ELISA, and it was identified that the median sGP73 levels were significantly higher in the HCC (18.7 ng/ml) and liver cirrhosis (18.5 ng/ml) patients than in the healthy controls (0 ng/ml; both P<0.001); however, the levels did not significantly differ between the HCC and liver cirrhosis groups (P=0.632). sGP73 had an inferior sensitivity and specificity for HCC diagnosis (27.79 and 77.96%, respectively) compared with α-fetoprotein (57.36 and 90.96%, respectively; P<0.001). In the HCC group, a high level of sGP73 was associated with aggressive clinicopathological features and independently predicted poor overall survival (OS) time (P<0.001). Additionally, in patients with resectable HCC, a high level of sGP73 was associated with significantly decreased disease-free survival (P<0.001) and OS (P=0.039) times compared with a low level of sGP73. This study demonstrated that sGP73 is unsuitable as a diagnostic marker for the early detection of HCC; however, it is an independent negative prognostic marker, providing a novel risk stratification factor and a potential therapeutic molecular target for HCC. [ABSTRACT FROM AUTHOR]

The inflammatory microenvironment serves an important function in the progression of hepatocellular carcinoma (HCC). Peripheral blood lymphocyte-to-monocyte ratio (LMR), as a novel inflammatory biomarker combining an estimate of host immune homeostasis with the tumor microenvironment, has been identified to be a predictor of clinical outcomes in a number of malignancies. The present study aimed at investigating the prognostic value of LMR in patients with hepatitis B virus (HBV)-associated advanced HCC. A total of 174 patients with HBV-associated advanced HCC, without fever or signs of infections, were analyzed. Clinicopathological parameters, including LMR, were evaluated to identify predictors of overall survival time. Univariate and multivariate analysis was performed using Cox's proportional hazards model. A threshold value was determined using a time-dependent receiver operating characteristic curve. Univariate and multivariate analysis identified LMR as an independent prognostic factor in overall survival (OS) time in patients with HBV-associated advanced HCC (P<0.05). The threshold value of LMR was 2.22. All patients were divided into either a low LMR group (≤2.22) or a high LMR group (>2.22). The OS time of the high LMR group was significantly longer compared with the low LMR group (P<0.001). Patients in the high LMR group exhibited a significantly increased 3-month and 6-month OS rate, compared with that of the patients within the low LMR group (P<0.001). An increased level of LMR was significantly associated with the presence of metastasis, ascites and increased tumor size (P<0.01). LMR is an independent prognostic factor of HBV-associated advanced HCC patients and an increased baseline LMR level indicates an improved prognosis. [ABSTRACT FROM AUTHOR]

The aim of the present study was to evaluate the ability of seven staging systems to predict 3‑ and 6‑month and cumulative survival rates of patients with advanced hepatitis B virus (HBV)‑associated hepatocellular carcinoma (HCC). Data were collected from 220 patients with HBV‑associated HCC who did not receive any standard anticancer treatment. Participants were patients at The Third Affiliated Hospital of Sun Yat‑sen University from September 2008 to June 2010. The participants were classified according to the Chinese University Prognostic Index (CUPI), the Cancer of the Liver Italian Program (CLIP), Japan Integrated Staging (JIS), China Integrated Score (CIS) systems, Barcelona Clinic Liver Cancer (BCLC), Okuda and tumor‑node‑metastasis (TNM) staging systems at the time of diagnosis and during patient follow‑up. The sensitivity and specificity of the predictive value of each staging system for 3‑ and 6‑month mortality were analyzed by relative operating characteristic (ROC) curve analysis with a non‑parametric test being used to compare the area under curve (AUC) of the ROC curves. In addition, log‑rank tests and Kaplan‑Meier estimator survival curves were applied to compare the overall survival rates of the patients with HCC defined as advanced using the various staging systems, and the Akaike information criterion (AIC) and likelihood ratio tests (LRTs) were used to evaluate the predictive value for overall survival in patients with advanced HCC. Using univariate and multivariate Cox's model analyses, the factors predictive of survival were also identified. A total of 220 patients with HBV‑associated HCC were analyzed. Independent prognostic factors identified by multivariate analyses included tumor size, α‑fetoprotein levels, blood urea nitrogen levels, the presence or absence of portal vein thrombus, Child‑Pugh score and neutrophil count. When predicting 3‑month survival, the AUCs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 0.806, 0.772, 0.751, 0.731, 0.643, 0.754 and 0.622, respectively. When predicting 6‑month survival, the AUCs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 0.828, 0.729, 0.717, 0.692, 0.664, 0.746 and 0.575, respectively. For 3‑month mortality, the prognostic value of CLIP ranked highest, followed by CIS; for 6‑month mortality, the prognostic value of CLIP also ranked highest, followed by JIS. No significant difference between the AUCs of CLIP and CIS (P>0.05) in their predictive value for 3‑month mortality was observed. The AUC of CLIP was significantly higher compared with that of the other staging systems (P<0.05) for predicting 6‑month mortality. The χ2 values from the LRTs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 75.6, 48.4, 46.7, 36.0, 21.0, 46.8 and 7.24, respectively. The AIC values of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 1601.5, 1632.3, 1629.9, 1641.1, 1654.8, 1627.4 and 1671.1, respectively. CLIP exhibited the highest χ2 value and lowest AIC value, indicating that CLIP has the highest predictive value of cumulative survival rate. In the selected patients of the present study, CLIP was the staging system best able to predict 3‑ and 6‑month and overall survival rates. CIS ranked second in predicting 3‑month mortality. [ABSTRACT FROM AUTHOR]

Mature microRNA (miRNA) 34a-5p, which is a well-known tumor suppressor in hepatitis virus-associated hepatocellular carcinoma (HCC), plays an important role in cell processes, such as cell proliferation and apoptosis, and is therefore an optimal biomarker for future clinical use. However, the role of miRNA-34a-5p in chemoresistance has yet to be identified. In the present study, the expression of miRNA-34a-5p was assessed by an in situ hybridization assay in HCC tissues and was found to be significantly decreased compared with the pericarcinomatous areas of the tissue specimens, which consisted of samples obtained from 114 patients with HCC. High expression of miRNA-34a-5p was found to be associated with a favorable overall survival time in HCC patients. Functional tests performed by transfecting miRNA-34a-5p mimics or inhibitors into MHCC-97L cells illustrated that miRNA-34a-5p inhibited proliferation, elevated apoptosis and decreased chemoresistance to cisplatin in HCC cells. AXL is the direct target of miRNA-34a-5p, as confirmed by sequence analysis and luciferase assay. Transfection of the cells with small interfering RNA for AXL (siAXL) increased the apoptosis ratio of the MHCC-97L cell line. Transfection with siAXL led to similar biological behaviors in the MHCC-97L cells to those induced by ectopic expression of miRNA-34a-5p. Thus, it was concluded that miRNA-34a-5p enhanced the sensitivity of the cells to chemotherapy by targeting AXL in hepatocellular carcinoma. In addition, low expression of miRNA-34a-5p in HCC tissues yielded an unfavorable prognosis for patients with HCC that received radical surgery, due to the promotion of proliferation and an increase in chemoresistance in HCC cells. [ABSTRACT FROM AUTHOR]

Background: Accurate prognostication of locally advanced nasopharyngeal carcinoma (NPC) will benefit patients for tailored therapy. Here, we addressed this issue by developing a mathematical algorithm based on support vector machine (SVM) through integrating the expression levels of multi-biomarkers. Methodology/Principal Findings: Ninety-seven locally advanced NPC patients in a randomized controlled trial (RCT), consisting of 48 cases serving as training set and 49 cases as testing set of SVM models, with 5-year follow-up were studied. We designed SVM models by selecting the variables from 38 tissue molecular biomarkers, which represent 6 tumorigenesis signaling pathways, and 3 EBV-related serological biomarkers. We designed 3 SVM models to refine prognosis of NPC with 5-year follow-up. The SVM1 displayed highly predictive sensitivity (sensitivity, specificity were 88.0% and 81.9%, respectively) by integrating the expression of 7 molecular biomarkers. The SVM2 model showed highly predictive specificity (sensitivity, specificity were 84.0% and 94.5%, respectively) by grouping the expression level of 12 molecular biomarkers and 3 EBV-related serological biomarkers. The SVM3 model, constructed by combination SVM1 with SVM2, displayed a high predictive capacity (sensitivity, specificity were 88.0% and 90.3%, respectively). We found that 3 SVM models had strong power in classification of prognosis. Moreover, Cox multivariate regression analysis confirmed these 3 SVM models were all the significant independent prognostic model for overall survival in testing set and overall patients. Conclusions/Significance: Our SVM prognostic models designed in the RCT displayed strong power in refining patient prognosis for locally advanced NPC, potentially directing future target therapy against the related signaling pathways. [ABSTRACT FROM AUTHOR]