Fork head box M1 regulates vascular endothelial growth factor-A expression to promote the angiogenesis and tumor cell growth of gallbladder cancer.

BACKGROUND: Gallbladder cancer (GBC) is an aggressive type of biliary tract cancer that lacks effective therapeutic targets. Fork head box M1 (FoxM1) is an emerging molecular target associated with tumor progression in GBC, and accumulating evidence suggests that vascular endothelial growth factor (VEGF) promotes various tumors by inducing neoangiogenesis. AIM: To investigate the role of FoxM1 and the angiogenesis effects of VEGF-A in primary GBC. METHODS: Using immunohistochemistry, we investigated FoxM1 and VEGF-A expression in GBC tissues, paracarcinoma tissues and cholecystitis tissues. Soft agar, cell invasion, migration and apoptosis assays were used to analyze the malignant phenotype influenced by FoxM1 in GBC. Kaplan-Meier survival analysis was performed to evaluate the impact of FoxM1 and VEGF-A expression in GBC patients. We investigated the relationship between FoxM1 and VEGF-A by regulating the level of FoxM1. Next, we performed MTT assays and Transwell invasion assays by knocking out or overexpressing VEGF-A to evaluate its function in GBC cells. The luciferase assay was used to reveal the relationship between FoxM1 and VEGF-A. BALB/c nude mice were used to establish the xenograft tumor model. RESULTS: FoxM1 expression was higher in GBC tissues than in paracarcinoma tissues. Furthermore, the high expression of Foxm1 in GBC was significantly correlated with a malignant phenotype and worse overall survival. Meanwhile, high expression of FoxM1 influenced angiogenesis; high expression of FoxM1 combined with high expression of VEGF-A was related to poor prognosis. Attenuated FoxM1 significantly suppressed cell proliferation, transfer and invasion in vitro. Knockdown of FoxM1 in GBC cells reduced the expression of VEGF-A. Luciferase assay showed that FoxM1 was the transcription factor of VEGF-A, and knockdown VEGF-A in FoxM1 overexpressed cells could partly reverse the malignancy phenotype of GBC cells. In this study, we found that FoxM1 was involved in regulation of VEGF-A expression. CONCLUSION: FoxM1 and VEGF-A overexpression were associated with the prognosis of GBC patients. FoxM1 regulated VEGF-A expression, which played an important role in the progression of GBC.

Seven-senescence-associated gene signature predicts overall survival for Asian patients with hepatocellular carcinoma.

BACKGROUND: Cellular senescence is a recognized barrier for progression of chronic liver diseases to hepatocellular carcinoma (HCC). The expression of a cluster of genes is altered in response to environmental factors during senescence. However, it is questionable whether these genes could serve as biomarkers for HCC patients. AIM: To develop a signature of senescence-associated genes (SAGs) that predicts patients' overall survival (OS) to improve prognosis prediction of HCC. METHODS: SAGs were identified using two senescent cell models. Univariate COX regression analysis was performed to screen the candidate genes significantly associated with OS of HCC in a discovery cohort (GSE14520) for the least absolute shrinkage and selection operator modelling. Prognostic value of this seven-gene signature was evaluated using two independent cohorts retrieved from the GEO (GSE14520) and the Cancer Genome Atlas datasets, respectively. Time-dependent receiver operating characteristic (ROC) curve analysis was conducted to compare the predictive accuracy of the seven-SAG signature and serum α-fetoprotein (AFP). RESULTS: A total of 42 SAGs were screened and seven of them, including KIF18B, CEP55, CIT, MCM7, CDC45, EZH2, and MCM5, were used to construct a prognostic formula. All seven genes were significantly downregulated in senescent cells and upregulated in HCC tissues. Survival analysis indicated that our seven-SAG signature was strongly associated with OS, especially in Asian populations, both in discovery and validation cohorts. Moreover, time-dependent ROC curve analysis suggested the seven-gene signature had a better predictive accuracy than serum AFP in predicting HCC patients' 1-, 3-, and 5-year OS. CONCLUSION: We developed a seven-SAG signature, which could predict OS of Asian HCC patients. This risk model provides new clinical evidence for the accurate diagnosis and targeted treatment of HCC.

Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma.

BACKGROUND: Recent evidence shows that long non-coding RNAs (lncRNAs) are closely related to hepatogenesis and a few aggressive features of hepatocellular carcinoma (HCC). Increasing studies demonstrate that lncRNAs are potential prognostic factors for HCC. Moreover, several studies reported the combination of lncRNAs for predicting the overall survival (OS) of HCC, but the results varied. Thus, more effort including more accurate statistical approaches is needed for exploring the prognostic value of lncRNAs in HCC. AIM: To develop a robust lncRNA signature associated with HCC recurrence to improve prognosis prediction of HCC. METHODS: Univariate COX regression analysis was performed to screen the lncRNAs significantly associated with recurrence-free survival (RFS) of HCC in GSE76427 for the least absolute shrinkage and selection operator (LASSO) modelling. The established lncRNA signature was validated and developed in The Cancer Genome Atlas (TCGA) series using Kaplan-Meier curves. The expression values of the identified lncRNAs were compared between the tumor and non-tumor tissues. Pathway enrichment of these lncRNAs was conducted based on the significantly co-expressed genes. A prognostic nomogram combining the lncRNA signature and clinical characteristics was constructed. RESULTS: The lncRNA signature consisted of six lncRNAs: MSC-AS1, POLR2J4, EIF3J-AS1, SERHL, RMST, and PVT1. This risk model was significantly associated with the RFS of HCC in the TCGA cohort with a hazard ratio (HR) being 1.807 (95%CI [confidence interval]: 1.329-2.457) and log-rank P-value being less than 0.001. The best candidates of the six-lncRNA signature were younger male patients with HBV infection in relatively early tumor-stage and better physical condition but with higher preoperative alpha-fetoprotein. All the lncRNAs were significantly upregulated in tumor samples compared to non-tumor samples (P < 0.05). The most significantly enriched pathways of the lncRNAs were TGF-ß signaling pathway, cellular apoptosis-associated pathways, etc. The nomogram showed great utility of the lncRNA signature in HCC recurrence risk stratification. CONCLUSION: We have constructed a six-lncRNA signature for prognosis prediction of HCC. This risk model provides new clinical evidence for the accurate diagnosis and targeted treatment of HCC.

Devascularization of the superior mesenteric vein without reconstruction during surgery for retroperitoneal liposarcoma: A case report and review of literature.

A 61-year-old female patient with chronic hepatitis B virus infection was diagnosed with liposarcoma in a community hospital. Fine needle aspiration biopsy confirmed the diagnosis of well-differentiated liposarcoma. Abdominal computed tomographic angiography (CTA) showed that the mass adhered to and constricted the main trunk and branch of the superior mesenteric vein (SMV), especially the ileocolic vein, and collateral circulation was observed during the vascular reconstruction scan. The abdominal liposarcoma was resected. Because of the collateral circulation, devascularization of the SMV was attempted, and we resected the eroded SMV. The condition of the blood vessels was evaluated 20 d after surgery using CTA, which showed that the SMV had disappeared. Significant improvements in SMV collateral circulation and the inferior mesenteric vein were observed after vascular reconstruction. The patient had an uneventful postoperative course except for transient gastroplegia. Twenty months after surgery, the patient had a recurrence of liposarcoma. She underwent tumor resection to remove the distal small intestine and right hemicolon. We learned that (1) direct devascularization of the main SMV trunk without a vein graft is possible. The presence of collateral circulation can increase the success rate of patients undergoing radical surgery and prevent the occurrence of serious postoperative complications. In addition, (2) this case demonstrated the clinical value of 3D reconstruction.

A promising prediction model for survival in gallbladder carcinoma patients: pretreatment prognostic nutrient index.

The pretreatment nutritional and immunological status play indispensable roles in predicting the outcome of patients with various types of malignancies. The aim of the study was to investigate whether preoperative prognostic nutritional index (PNI), which simply accounts for nutritional and immunological status, was associated with overall survival (OS) in patients with gallbladder carcinoma (GBC). The retrospective study included a total of 315 GBC patients after surgery between 2002 and 2012. PNI was calculated according to the following formula: 10× serum albumin (g/dl) +0.005× total lymphocyte count (per mm3). A receiver operating characteristic (ROC) curve for survival prediction was plotted to verify the optimal cutoff value for LMR, which was set at 46.14. According the value, patients were categorized into two different groups, namely high-PNI group (n = 133) and low-PNI group (n = 182). The univariate and multivariate Cox regression models were used to identify the independent prognostic factors. The results showed that low pretreatment PNI value was significantly associated with elderly age, partial surgery procedure, and advanced tumor status such as tumor stage, node stage, and tumor-node-metastasis stage (P < 0.05). The low-PNI group had a worse OS compare with the high-PNI group (P < 0.05). Via univariate and multivariate analyses, pretreatment PNI was identified as an independent prognostic factor for OS [HR: 0.613; 95%CI: 0.448-0.838; P < 0.001]. Subgroup analyses further revealed that PNI was significantly associated with postoperative OS independent of tumor node metastasis stage and surgical procedure. In conclusion, pretreatment PNI might serve as an effective predictor to evaluate prognosis of GBC patients after surgery. Based on the findings, PNI, characterized with accessibility, objectivity and noninvasiveness, should be included in the routine assessment of GBC.

Prognostic significance of pretreatment albumin/globulin ratio in patients with hepatocellular carcinoma.

BACKGROUND: Pretreatment nutritional and immunological statuses play an indispensable role in predicting the outcome of patients with various types of malignancies. The purpose of this study is to evaluate the predictive value of albumin/globulin ratio (AGR) in overall survival (OS) and recurrence in patients with hepatocellular carcinoma (HCC) following radical hepatic carcinectomy. PATIENTS AND METHODS: This retrospective study included a total of 172 patients with HCC with complete medical and follow-up information between 2002 and 2012. AGR was calculated according to the following formula: AGR = albumin/globulin. Receiver operating characteristic curve analysis was performed to determine the optimal cutoff value. The associations of AGR with clinicopathological characteristics and prognosis were assessed. Further multivariate analysis using Cox regression model and subgroup analysis was performed to evaluate the predictive value. RESULTS: Receiver operating characteristic curve determined 37.65, 31.99, and 1.48 as the optimal cutoff values of albumin, globulin, and AGR in terms of 5-year OS or death, respectively. On the basis of the cutoff value of AGR, all the patients were divided, respectively, into low-AGR (n=105) and high-AGR (n=67) groups. AGR was found to be significantly correlated with age, cancer embolus, international normalized ratio, and postoperative outcome (P<0.05). Hepatitis B virus infection (hazard ratio [HR]: 2.125; 95% confidence interval [CI]: 1.285-3.153), tumor node metastasis stage (HR: 1.656; 95% CI: 1.234-2.223), serum albumin (HR: 0.546; 95% CI: 0.347-0.857), and AGR (HR: 0.402; 95% CI: 0.233-0.691) were independent predictors of OS via univariate and multivariate survival analyses. However, alpha-fetoprotein (HR: 1.708; 95% CI: 1.027-2.838), tumor node metastasis stage (HR: 1.464; 95% CI: 1.078-1.989), and AGR (HR: 0.493; 95% CI: 0.293-0.828) functioned as independent risk variables for predicting recurrence. Moreover, AGR showed superior prognostic value for OS and recurrence in the subgroups with normal level of albumin or survival time beyond 6 months. CONCLUSION: Pretreatment AGR might serve as an effective biomarker to evaluate the prognosis of patients with a diagnosis of HCC. Based on the results, AGR, characterized with easy accessibility, objectivity, and noninvasiveness, should be included in the routine assessment of HCC.

Simple models based on gamma-glutamyl transpeptidase and platelets for predicting survival in hepatitis B-associated hepatocellular carcinoma.

BACKGROUND: Several hepatic cirrhosis-derived noninvasive models have been developed to predict the incidence and outcomes of hepatocellular carcinoma (HCC). We aimed to investigate the prognostic significance of the two novel established cirrhosis-associated models based on gamma-glutamyl transpeptidase (GGT) and platelets in hepatitis B-associated HCC. METHODS: We retrospectively evaluated 182 HCC patients with positive hepatitis B surface antigen who received radical therapy at a single institution between 2002 and 2012. Laboratory data prior to operation were collected to calculate the GGT to platelets ratio (GPR) and the S-index. Predictive factors associated with overall survival and recurrence-free survival were assessed using log-rank test and multivariate Cox analysis. Additional analyses were performed after patients were stratified based on cirrhosis status, tumor size, therapy methods, and so forth, to investigate the prognostic significance in different subgroups. RESULTS: During a median follow-up time of 45.0 months, a total of 88 (48.4%) patients died and 79 (43.4%) patients recurred. The cut-off points for GPR and S-index in predicting death were determined to be 0.76 and 0.56, respectively. Compared with patients with a lower GPR, those with GPR ≥0.76 had a higher probability of cirrhosis and a larger tumor (both P<0.05). GPR and S-index were both found to be significantly associated with survival by univariate log-rank test. Multivariate analysis identified tumor size ≥5 and high level of GPR, but not high Barcelona Clinic Liver Cancer stage or S-index, as independent factors for predicting poor overall survival and recurrence-free survival. CONCLUSION: The GPR is an effective preoperative predictor for outcomes in hepatitis B-associated HCC.

Model Based on Alkaline Phosphatase and Gamma-Glutamyltransferase for Gallbladder Cancer Prognosis.

PURPOSE: To evaluate the prognostic value of alkaline phosphatase (ALP) and gamma-glutamyltransferase (GGT) in gallbladder cancer (GBC). MATERIALS AND METHODS: Serum ALP and GGT levels and clinicopathological parameters were retrospectively evaluated in 199 GBC patients. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off values of ALP and GGT. Then, associations with overall survival were assessed by multivariate analysis. Based on the significant factors, a prognostic score model was established. RESULTS: By ROC curve analysis, ALP≥210 U/L and GGT≥43 U/L were considered elevated. Overall survival for patients with elevated ALP and GGT was significantly worse than for patients within the normal range. Multivariate analysis showed that the elevated ALP, GGT and tumor stage were independent prognostic factors. Giving each positive factor a score of 1, we established a preoperative prognostic score model. Varied outcomes would be significantly distinguished by the different score groups. By further ROC curve analysis, the simple score showed great superiority compared with the widely used TNM staging, each of the ALP or GGT alone, or traditional tumor markers such as CEA, AFP, CA125 and CA199. CONCLUSIONS: Elevated ALP and GGT levels were risk predictors in GBC patients. Our prognostic model provides infomration on varied outcomes of patients from different score groups.

Survival Analysis of Hepatocellular Carcinoma: A Comparison Between Young Patients and Aged Patients.

BACKGROUND: To compare the clinicopathological features and prognosis between younger and aged patients with hepatocellular carcinoma (HCC). METHODS: We analyzed the outcome of 451 HCC patients underwent liver resection, transcatheter arterial chemoembolization and radiofrequency ablation, respectively. Then risk factors for aged and younger patients' survival were evaluated by multivariate analysis, respectively. RESULTS: The patients who were older than 55 years old were defined as the older group. The overall survival for aged patients was significantly worse than those younger patients. The younger patients had similar liver functional reserve but more aggressive tumor factors than aged patients. Cox regression analysis showed that the elevated levels of aspartate aminotransferase (AST) (Wald χ2 = 3.963, P = 0.047, hazard ratio [HR] =1.453, 95% confidence interval [CI]: 1.006-2.098), lower albumin (Wald χ2 = 12.213, P < 0.001, HR = 1.982, 95% CI: 1.351-2.910), tumor size (Wald χ2 = 8.179, P = 0.004, HR = 1.841, 95% CI: 1.212-2.797), and higher alpha-fetoprotein level (Wald χ2 = 4.044, P = 0.044, HR = 1.465, 95% CI: 1.010-2.126) were independent prognostic factors for aged patients, while only elevated levels of AST (Wald χ2 = 14.491, P < 0.001, HR = 2.285, 95% CI: 1.493-3.496) and tumor size (Wald χ2 = 21.662, P < 0.001, HR = 2.928, 95% CI: 1.863-4.604) were independent prognostic factors for younger patients. CONCLUSIONS: Age is a risk factor to determine the prognosis of patients with HCC. Aged patients who have good liver functional reserve are still encouraged to receive curative therapy.

Significance of platelet count and platelet-based models for hepatocellular carcinoma recurrence.

AIM: To explore the effects of platelet count (PLT) and 11 platelet-based indices on postoperative recurrence of hepatocellular carcinoma (HCC). METHODS: We retrospectively analyzed 172 HCC patients who were treated by partial hepatectomy. Preoperative data, including laboratory biochemical results, were used to calculate the 11 indices included in the analysis. We performed receiver operating characteristic curve analysis to determine the optimal cut-off values for predicting recurrence. Cumulative rates of HCC recurrence were calculated using Kaplan-Meier survival curves and differences were analyzed by log-rank tests. Multivariate analyses were performed to identify independent predictors of recurrence, early recurrence (within one year after surgery), and late recurrence in HCC. To obtain better prognostic models, PLT-based indices were analyzed separately after being expressed as binary and continuous variables. Two platelet-unrelated, validated HCC prognostic models were included in the analyses as reference indices. Additional analyses were performed after patients were stratified based on hepatitis B virus infection status, cirrhosis, and tumor size to investigate the significance of platelets in different subgroups. RESULTS: In the study cohort, 44.2% (76/172) of patients experienced HCC recurrence, and 50.6% (87/172) died during a median follow-up time of 46 mo. PLT and five of the 11 platelet-related models were significant predisposing factors for recurrence (P < 0.05). Multivariate analysis indicated that, among the clinical parameters, presence of ascites, PLT ≥ 148 × 10(9)/L, alkaline phosphatase ≥ 116 U/L, and tumor size ≥ 5 cm were independently associated with a higher risk of HCC recurrence (P < 0.05). Independent and significant models included the aspartate aminotransferase/PLT index, fibrosis index based on the four factors, fibro-quotient, aspartate aminotransferase/PLT/γ-glutamyl transpeptidase/alpha-fetoprotein index, and the PLT/age/alkaline phosphatase/alpha-fetoprotein/aspartate aminotransferase index. There were different risk factors between early and late recurrences, and PLT and these indices were more inclined to influence late recurrence. PLT was only predictive of recurrence in non-cirrhotic HCC patients, and was not influenced by tumor size, which was a critical confounder in our study. CONCLUSION: PLT and PLT-based noninvasive models are effective tools for predicting postoperative recurrence, especially late recurrence. Larger cohorts are needed to validate our findings.

FoxM1 as a novel therapeutic target for cancer drug therapy.

BACKGROUND: Current cancer therapy mainly focuses on identifying novel targets crucial for tumorigenesis. The FoxM1 is of preference as an anticancer target, due to its significance in execution of mitosis, cell cycle progression, as well as other signal pathways leading to tumorigenesis. FoxM1 is partially regulated by oncoproteins or tumor suppressors, which are often mutated, lost, or overexpressed in human cancer. Since sustaining proliferating signaling is an important hallmark of cancer, FoxM1 is overexpressed in a series of human malignancies. Alarge- scale gene expression analysis also identified FoxM1 as a differentially-expressed gene in most solid tumors. Furthermore, overexpressed FoxM1 is correlated with the prognosis of cancer patients, as verified in a series of malignancies by Cox regression analysis. Thus, extensive studies have been conducted to explore the roles of FoxM1 in tumorigenesis, making it an attractive target for anticancer therapy. Several antitumor drugs have been reported to target or inhibit FoxM1 expression in different cancers, and down-regulation of FoxM1 also abrogates drug resistance in some cancer cell lines, highlighting a promising future for FoxM1 application in the clinic.

The prognostic values of 12 cirrhosis-relative noninvasive models in patients with hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinogenesis is associated with the progression of cirrhosis, and the latter further aggravates tumor development and prognosis. The aim of the study was to investigate the prognostic values of 12 cirrhosis-relative noninvasive models in hepatocellular carcinoma (HCC). METHODS: We retrospectively analyzed 363 HCC patients who either underwent partial hepatectomy (PH) or received transcatheter arterial chemoembolization (TCAE). Preoperative data were collected to calculate these indices using the original formulas. Diagnostic accuracy of these models in detection of cirrhosis was evaluated by area under receiver operating characteristic curve (AUC) analysis. Multivariate analyses were performed to assess the independent prognostic significance of the 12 indicators. RESULTS: Aspartate aminotransferase-platelet ratio index (APRI) and Goteborg University Cirrhosis Index (GUCI) were found to be significant in discriminating cirrhotic patients from non-cirrhotic individuals. When the indices were expressed as continuous variables, multivariate analyses indicated that APRI and GUCI were independent indices to predict overall survival in patients underwent PH, with a hazard ratio (HR) value 1.04 (p = 0.005) and 1.07 (p = 0.001), respectively. In the cohort of TACE, APRI and GUCI were independently associated with survival as well. CONCLUSION: Of the 12 indices, APRI and GUCI were relatively accurate predictors of cirrhosis status as well as outcome of HCC. As only a limited study population was enrolled in the current study, larger cohorts are needed to validate our results.

Model based on γ-glutamyltransferase and alkaline phosphatase for hepatocellular carcinoma prognosis.

AIM: To determine the prognostic value of alkaline phosphatase (ALP) and γ-glutamyltransferase (GGT) for hepatocellular carcinoma (HCC) . METHODS: We analyzed the outcome of 172 HCC patients who underwent liver resection. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off value of ALP and GGT. Then, preoperative risk factors for survival were evaluated by multivariate analysis. Based on the significant factors, a prognostic score model was established. RESULTS: By ROC curve analysis, ALP > 120 U/L and GGT > 115 U/L were considered elevated. Overall survival (OS) and tumor-free survival (TFS) for patients with elevated ALP and GGT were significantly worse than for patients with ALP and GGT within the normal range. Multivariate analysis showed that the elevated levels of ALP, GGT and tumor size were independent prognostic factors. Giving each positive factor as a score of 1, we established a preoperative prognostic score model. The 5-year OS for patients with a score of 0, 1, 2 and 3 were 84.0%, 45.9%, 44.1% and 0%, respectively, while the TFS was 80.6%, 40.0%, 38.8% and 0%, respectively. When combining patients with scores of 1 and 2 into the middle risk group, and patients with scores of 0 and 3 into the low-risk and high-risk groups, respectively, different outcomes would be significantly distinguished by the risk groups. CONCLUSION: Elevated ALP and GGT levels were risk predictors in HCC patients. Our prognostic model might vary the outcomes of patients from different risk groups.