Xiang Yuan Wu

Elevated Beclin 1 expression is correlated with HIF-1α in predicting poor prognosis of nasopharyngeal carcinoma

Recent studies have suggested that autophagy plays a pivotal role in regulation of cancer development and progression. High expression of the autophagy-related Beclin 1 protein predicted favorable patient outcome in several tumors. Here, a randomized controlled trial (RCT)-derived 128 nasopharyngeal carcinoma (NPC) patients were subjected to analysis of Beclin 1 expression and survival probability. In this RCT, 61 patients treated with induction chemotherapy plus concurrent chemoradiotherapy were used as a training set to generate a Beclin 1 cutoff score for patient outcome by receiver operating characteristic (ROC) curve analysis. For validation, the ROC-derived cutoff point was subjected to analysis of the association of Beclin 1 expression with patient outcome and clinical characteristics in testing set. The testing set comprised of 67 patients received induction chemotherapy plus radiotherapy. In the testing set and overall patients, our univariate and multivariate analysis showed that higher Beclin 1 expression, defined by the training set ROC analysis-generated cutoff score, predicted poorer overall survival, progression-free survival and distant metastasis-free survival. However, we failed to detect a correlation between Beclin 1 and local failure-free survival. Moreover, a positive relationship between Beclin 1 and HIF-1α expression was found. Importantly, among patients with elevated HIF-1α expression, a subset with lower Beclin 1 expression displayed a significant overall survival advantage than those with higher expression (p = 0.036). Contrary to previous studies, our results demonstrated that high autophagic Beclin 1 expression was an inferior prognostic marker for NPC. HIF-1α-associated Beclin 1 high expression might facilitate NPC cells surviving from chemoradiotherapy, suggesting a novel therapeutic molecular target for NPC.

High pretreatment serum lactate dehydrogenase level correlates with disease relapse and predicts an inferior outcome in locally advanced nasopharyngeal carcinoma.

PURPOSE Here, we evaluate the prognostic effect of pretreatment serum lactate dehydrogenase (LDH) in locally advanced nasopharyngeal carcinoma (NPC). METHODS AND MATERIALS Pretreatment serum samples from a randomized controlled trial, which contained 199 neoadjuvant chemoradiotherapy patients and 201 neoadjuvant-concurrent chemoradiotherapy cases with locally advanced NPC, were collected and examined for LDH. With 5-year follow-up, the prognostic effect of pretreatment serum LDH was analysed by Kaplan-Meier analysis and multivariate Cox regression model. RESULTS Three hundred and sixty-seven patients (91.75%) had a normal (109.0-245.0 U/L) pretreatment LDH level, compared to 33 cases (8.25%) that had a higher (≥245.0 U/L) LDH level. The mean and median pretreatment LDH levels of these 400 patients were 186.6 and 174.0 U/L (range, 83.0-751.0 U/L), respectively. Compared with the normal subset, elevated LDH level predicted an inferior 5-year overall survival (56.9% versus 76.8%, P=0.004), disease-free survival (DFS, 45.4% versus 64.7%, P=0.001), local relapse-free survival (76.1% versus 89.6%, P=0.019) and distant metastasis-free survival (DMFS, 54.3% versus 72.2%, P=0.001). Multivariate analysis confirmed that the LDH level was an independent prognostic factor to predict death, disease progression, local relapse and distant metastasis. For the subgroup with normal LDH (median point of 177.0 U/L), we detected an evident 5-year DFS (68.8% versus 59.5%, P=0.047) and DMFS advantage (77.3% versus 65.3%, P=0.016) in 109.0-177.0 U/L subset than that of 178.0-245.0 U/L subgroup. CONCLUSIONS Serological LDH level was an independent prognostic factor for locally advanced NPC. Combining pretreatment LDH with TNM staging might lead to more accurate risk definition.

Aurora-A activation, correlated with hypoxia-inducible factor-1α promotes radiochemoresistance and predicts poor outcome for nasopharyngeal carcinoma

Previously, we and others showed that hypoxia‐inducible factor‐1α (HIF‐1α) and transcriptionally upregulated Aurora‐A were required for disease progression in several tumors. Here, we address the clinicopathologic value of Aurora‐A and HIF‐1α in locally advanced nasopharyngeal carcinoma (NPC). Aurora‐A and HIF‐1α expression was semiquantitatively evaluated by immunohistochemistry staining in 144 cases from a randomized controlled trial. Of these patients, 69 received neoadjuvant chemotherapy plus concurrent chemoradiotherapy, and acted as the training set, and 75 cases treated with neoadjuvant chemotherapy plus radiotherapy were used as the testing set to validate the prognostic effect of Aurora‐A and HIF‐1α. We found that Aurora‐A and HIF‐1α were highly expressed in NPC, but were deficient in normal adjacent epithelia. In the testing set, Aurora‐A overexpression predicted a shortened 5‐year overall survival (59.1% vs 82.5%, P = 0.024), progression‐free survival (44.8% vs 79.8%, P = 0.004), and distant metastasis‐free survival (43.0% vs 17.3%, P = 0.016). Multivariate regression analysis confirmed that Aurora‐A was indeed an independent prognostic factor for death, recurrence, and distant metastasis both in the testing set and overall patients. Moreover, a positive correlation between Aurora‐A and HIF‐1α was detected (P = 0.037). Importantly, although HIF‐1α did not show any prognostic effect for patient outcome, the subset with Aurora‐A and HIF‐1α co‐overexpression had the poorest overall, progression‐free, and distant metastasis‐free survival (all P < 0.05). Our results confirmed that Aurora‐A was an independent prognostic factor for NPC. Aurora‐A combined with HIF‐1α refined the risk definition of the patient subset, thus potentially directing locally advanced NPC patients for more selective therapy. (Cancer Sci, doi: 10.1111/j.1349‐7006.2012.02332.x, 2012)

Molecular prognostic prediction for locally advanced nasopharyngeal carcinoma by support vector machine integrated approach.

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.

Beclin 1 Deficiency Correlated with Lymph Node Metastasis, Predicts a Distinct Outcome in Intrahepatic and Extrahepatic Cholangiocarcinoma

Autophagy can be tumor suppressive as well as promotive in regulation of tumorigenesis and disease progression. Accordingly, the prognostic significance of autophagy key regulator Beclin 1 was varied among different tumors. Here, we detected the clinicopathological and prognostic effect of Beclin 1 in the subtypes of intrahepatic cholangiocarcinoma (ICC) and extrahepatic cholangiocarcinoma (ECC). Beclin 1 expression level was detected by immunohistochemistry staining in 106 ICC and 74 ECC patients. We found that Beclin 1 was lowly expressed in 126 (70%) cholangiocarcinoma patients, consist of 72 ICC and 54 ECC. Moreover, the cholangiocarcinoma patients with lymph node metastasis (N1) had a lower Beclin 1 level than that of N0 subgroup (P=0.012). However, we did not detect any correlations between Beclin 1 and other clinicopathological features, including tumor subtypes, vascular invasion, HBV infection, liver cirrhosis, cholecystolithiasis and TNM stage. Survival analysis showed that, compared with the high expression subset, Beclin 1 low expression was correlated with a poorer 3-year progression-free survival (PFS, 69.1% VS 46.8%, P=041) for cholangiocarcinoma. Importantly, our stratified univariate and multivariate analysis confirmed that Beclin 1 lowly expressed ICC had an inferior PFS as well as overall survival than ECC, particularly than that of Beclin 1 highly expressed ECC patients. Thus, our study demonstrated that Beclin 1low expression, correlated with lymph node metastasis, and might be a negative prognostic biomarker for cholangiocarcinoma. Combined Beclin 1 level with the anatomical location might lead to refined prognosis for the subtypes of ICC and ECC.

MicroRNA-34a-5p enhances sensitivity to chemotherapy by targeting AXL in hepatocellular carcinoma MHCC-97L cells

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.

Identification of the prognostic value of lymphocyte-to-monocyte ratio in patients with HBV-associated advanced hepatocellular carcinoma

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 Coxs 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.

Validation and ranking of seven staging systems of hepatocellular carcinoma

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 Coxs 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.

Serum Golgi protein 73 is a prognostic rather than diagnostic marker in hepatocellular carcinoma

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.

Comparison of five staging systems in predicting the survival rate of patients with hepatocellular carcinoma undergoing trans‑arterial chemoembolization therapy

The majority of patients with unresectable hepatocellular carcinoma (HCC) undergo trans-arterial chemoembolization (TACE). However, the prognosis of HCC remains poor. In the present study, five staging systems were compared to predict the survival rate of patients with HCC undergoing TACE treatment. A total of 220 patients with HCC were examined according to the model to estimate survival for hepatocellular carcinoma (MESH), hepatoma arterial embolization prognostic score (HAP), modified HAP (mHAP), performance status combined Japan Integrated Staging system (PSJIS) and tumor-node-metastasis (TNM) staging systems. The endpoints of the study were 3-month survival, 6-month survival, 1-year survival and overall survival (OS) rates. Receiver operating characteristic curve analysis indicated that the area under the curve of MESH, HAP, mHAP, PSJIS and TNM was 0.858, 0.728, 0.690, 0.688 and 0.699, respectively, in predicting 3-month survival rates; 0.822, 0.747, 0.720, 0.722 and 0.715, respectively, in predicting 6-month survival rates and 0.725, 0.664, 0.672, 0.645 and 0.654, respectively, in predicting 1-year survival rates. Discriminatory ability, homogeneity, monotonicity and prognostic stratification ability was evaluated using a likelihood ratio test and Akaike information criterion values among the five staging systems, and revealed that the MESH system was the optimal prognostic staging system for HCC. In conclusion, the results of the present study suggest that the MESH system is the most accurate prognostic staging system of 3-month survival, 6-month survival, 1-year survival and OS rates among the five systems analyzed in patients with HCC who have received TACE treatment.