SUCO as a Promising Diagnostic Biomarker of Hepatocellular Carcinoma: Integrated Analysis and Experimental Validation.

BACKGROUND Hepatocellular carcinoma (HCC) is not frequently diagnosed until the late stage due to its concealed symptoms. Therefore, the identification of biomarkers that have effective diagnostic performance and act as potential key therapeutic targets for HCC becomes urgent. MATERIAL AND METHODS Comprehensive analysis of accumulated data downloaded from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases was used to obtain more reliable potential diagnostic biomarkers of HCC and to explore related molecular mechanisms. Meta-analysis and summary receiver operating characteristic (SROC) curve analysis were performed to evaluate the differential expression of SUCO gene in HCC and identify the capability of SUCO in distinguishing HCC-tissues from normal liver-tissues. RESULTS SUCO was found to be upregulated in HCC-tissues and exhibited a favorable value in diagnosing HCC. Bioinformatics analysis showed that SUCO might play important roles in HCC progression, and was significantly related to cell cycle, cell metabolism, and proliferation. CONCLUSIONS This study was the first to demonstrate that SUCO was overexpressed in HCC-tissues, and that high expression of SUCO was significantly related to poor overall survival in HCC patients. SUCO might be a potential diagnostic biomarker for HCC patients, which promotes the tumorigenesis and progression of HCC.

Construction and validation of a prognostic model of pyroptosis related genes in hepatocellular carcinoma.

Pyroptosis plays an important role in the occurrence and development of cancer. We are interested in determining the prognostic value of pyroptosis-related genes in hepatocellular carcinoma (HCC). In this study, we searched the original transcriptome data of The Cancer Genome Atlas (TCGA) and identified the related expressed genes by co-expression analysis. Differentially expressed genes were identified by using univariate analysis, the least absolute shrinkage and selection operator (LASSO) and multivariate analysis to screen for genes related to prognosis of HCC. Ultimately, we established a prognostic model for five genes, namely GSDME, DHX9, TREM2, SQSTM1 and GLMN. Survival analysis showed that the overall survival rate of HCC patients with high risk score was significantly lower than that of HCC patients with low risk score, and this signal could be used as an independent prognostic indicator of HCC. Receiver operating characteristic curve analysis confirmed the accuracy of this prognostic signal, and was further verified in a Gene Expression Omnibus (GEO) dataset (GSE14520) and the International Cancer Genome Consortium (ICGC) databases. In addition, nomograms based on the five identified prognostic genes were established and verified internally in TCGA cohort. Additionally, we also analyzed the gene mutations of the model genes and the correlation between immune cells of the model genes. In summary, this study identified for the first time a 5-gene prognostic signature associated with pyroptosis, which can be used as a promising prognostic biomarker and provide some potentially useful therapeutic targets for HCC.

Learning curve for a surgeon in robotic pancreaticoduodenectomy through a "G"-shaped approach: A cumulative sum analysis.

BACKGROUND: Robotic pancreaticoduodenectomy (RPD) can achieve similar surgical results to open and PD; however, RPD has a long learning curve and operation time (OT). To address this issue, we have summarized a surgical path to shorten the surgical learning curve and OT. AIM: To investigate the effective learning curve of a "G"-shaped surgical approach in RPD for patients. METHODS: A total of 60 patients, who received "G"-shaped RPD (GRPD) by a single surgeon in the First Hospital of Shanxi Medical University from May 2017 to April 2020, were included in this study. The OT, demographic data, intraoperative blood loss, complications, hospitalization time, and pathological results were recorded, and the cumulative sum (CUSUM) analysis was performed to evaluate the learning curve for GRPD. RESULTS: According to the CUSUM analysis, the learning curve for GRPD was grouped into two phases: The early and late phases. The OT was 480 ± 81.65 min vs 331 ± 76.54 min, hospitalization time was 22 ± 4.53 d vs 17 ± 6.08 d, and blood loss was 308 ± 54.78 mL vs 169.2 ± 35.33 mL in the respective groups. Complications, including pancreatic fistula, bile leakage, reoperation rate, postoperative death, and delayed gastric emptying, were significantly decreased after this surgical technique. CONCLUSION: GRPD can improve the learning curve and operative time, providing a new method for shortening the RPD learning curve.

Landscape of somatic alterations in large-scale solid tumors from an Asian population.

Extending the benefits of tumor molecular profiling for all cancer patients requires a comprehensive analysis of tumor genomes across distinct patient populations worldwide. In this study, we perform deep next-generation DNA sequencing (NGS) from tumor tissues and matched blood specimens from over 10,000 patients in China by using a 450-gene comprehensive assay, developed and implemented under international clinical regulations. We perform a comprehensive comparison of somatically altered genes, the distribution of tumor mutational burden (TMB), gene fusion patterns, and the spectrum of various somatic alterations between Chinese and American patient populations. Here, we show 64% of cancers from Chinese patients in this study have clinically actionable genomic alterations, which may affect clinical decisions related to targeted therapy or immunotherapy. These findings describe the similarities and differences between tumors from Chinese and American patients, providing valuable information for personalized medicine.

Identification and Validation of a Pyroptosis-Related Prognostic Model for Gastric Cancer.

Pyroptosis is an inflammatory form of programmed cell death triggered by caspase-1/4/5/11 that plays an important role in the occurrence and development of gastric cancer (GC). We investigated the prognostic value of pyroptosis-related genes in GC. The "LIMMA" R package and univariate Cox analysis were used to find pyroptosis-related genes with differential expression and prognostic value in the TCGA cohort and the identified genes were analyzed for GO enrichment and KEGG pathways. The selected genes were then included in a multivariate Cox proportional hazard regression analysis, and a ten genes prognostic model (BIRC2, CD274, IRGM, ANXA2, GBP5, TXNIP, POP1, GBP1, DHX9, and TLR2) was established. To evaluate the predictive value of the risk score on prognosis, patients were divided into high-risk and low-risk groups according to the median risk score, and survival analysis was carried out. Compared with the low-risk group, the OS of GC patients in the high-risk group was significantly worse. Additionally, these results were verified in the GSE84437 and GSE66229 datasets. Finally, through the combination of prognostic gene characteristics and clinicopathological features, a nomogram was established to predict individual survival probability. The results show that the genetic risk characteristics related to clinical features can be used as independent prognostic indicators for patients with GC. In summary, the pyroptosis-related risk signals proposed in this study can potentially predict the prognosis of patients with GC. In addition, we also found significant infiltration of dendritic cells, macrophages, and neutrophils in tissues of high-risk patients.

The role of FOXD2-AS1 in cancer: a comprehensive study based on data mining and published articles.

BACKGROUND AND AIMS: Long non-coding RNA (lncRNA) FOXD2 adjacent opposite strand RNA 1 (FOXD2-AS1) is aberrantly expressed in various cancers and associated with cancer progression. A comprehensive meta-analysis was performed based on published literature and data in the Gene Expression Omnibus database, and then the Cancer Genome Atlas (TCGA) dataset was used to assess the clinicopathological and prognostic value of FOXD2-AS1 in cancer patients. METHODS: Gene Expression Omnibus databases of microarray data and published articles were used for meta-analysis, and TCGA dataset was also explored using the GEPIA analysis program. Hazard ratios (HRs) and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the role of FOXD2-AS1 in cancers. RESULTS: This meta-analysis included 21 studies with 2391 patients and 25 GEO datasets with 3311 patients. The pooled HRs suggested that highly expressed FOXD2-AS1 expression was correlated with poor overall survival (OS) and disease-free survival (DFS). Similar results were obtained by analysis of TCGA data for 9502 patients. The pooled results also indicated that FOXD2-AS1 expression was associated with bigger tumor size and advanced TNM stage, but was not related to age, gender, differentiation and lymph node metastasis. CONCLUSION: The present study demonstrated that FOXD2-AS1 is closely related to tumor size and TNM stage. Additionally, increased FOXD2-AS1 was a risk factor of OS and DFS in cancer patients, suggesting FOXD2-AS1 may be a potential biomarker in human cancers.

Long Noncoding RNA LINC00265 Targets EGFR and Promotes Deterioration of Colorectal Cancer: A Comprehensive Study Based on Data Mining and in vitro Validation.

BACKGROUND: LncRNAs are found to be aberrantly expressed in human cancers and could function as potential oncogenes or tumor suppressor genes. LINC00265 is a newly discovered LncRNA and its function in colorectal cancer (CRC) remains unknown. METHODS: Comprehensive bioinformatics analysis were performed to investigate the expression, clinical significance and potential biologic functions of LINC00265 in CRC based on the data from the Cancer Genome Atlas (TCGA). To further investigate the potential role of LINC00265 in CRC, we knocked down the LINC00265 expression in HT29 cells. The cell proliferation, invasion, cycle distribution, and apoptosis were evaluated in control, NC and siRNA groups. Additionally, effect of LINC00265 on the expression of EGFR was also measured. RESULTS: The expression level of LINC00265 is increased in CRC tissues. Elevated level of LINC00265 is correlated with lymph node metastases and advanced pathological stage. We obtained 269 LINC00265 related genes; the results of functional analysis of these genes revealed that LINC00265 might involve in carcinogenesis of CRC. In addition, further experiments indicated that LINC00265 knockdown impaired cell proliferation and invasion, promoted cell cycle distribution and apoptosis in HT29 cells. Moreover, Western blot analysis revealed that downregulation of LINC00265 suppressed the expression of EGFR. CONCLUSION: Our results indicate that LINC00265 induces cell proliferation, migration and inhibits CRC cells apoptosis by targeting EGFR. LINC00265 could be served as a diagnostic factor and therapeutic target for CRC patients.

The prognostic value of LINC01296 in pan-cancers and the molecular regulatory mechanism in hepatocellular carcinoma: a comprehensive study based on data mining, bioinformatics, and in vitro validation.

BACKGROUND AND AIMS: This study aimed to clarify the prognostic role of LINC01296 in various cancers, and to evaluate its effect on proliferation, metastasis, and the cell cycle in hepatocellular carcinoma (HCC) by data mining, bioinformatics, and in vitro validation. METHODS: The prognostic role of LINC01296 in cancer patients was assessed by searching the PubMed, Embase, Web of Science, and Gene Expression Omnibus databases and calculating pooled hazard ratios (HRs) with 95% confidence intervals (CIs); this prognostic role was also evaluated using The Cancer Genome Atlas (TCGA). We detected LINC01296 expression in HCC cell lines, and lentivirus-mediated small interfering RNAs were used to silence LINC01296 in MHCC97H and Hep3B cells to explore the role of LINC01296 in cell proliferation, metastasis, and cell cycle progression with in vitro validation and bioinformatics. RESULTS: The results indicated that LINC01296 overexpression was associated with poor overall survival (OS) and disease-free survival (DFS) in various cancers; however, LINC01296 expression was not associated with recurrence-free survival (RFS). Similar results were found with TCGA, which showed that LINC01296 expression was associated with the pathologic stage, tumor size, and differentiation in Asian cancer patients. Additionally, bioinformatics analysis revealed expression of 394 related genes, which indicated that LINC01296 could be involved in the tumorigenesis and progression of HCC. In vitro gene silencing experiments indicated that LINC01296 downregulation repressed cell proliferation, cell cycle progression, and the metastatic potential of HCC through the regulation of BUB1, CCNA2, and CDK1 expression. CONCLUSION: This study demonstrated that LINC01296 expression is related to poor OS and DFS in a variety of cancer types and that LINC01296 has an oncogenic role in HCC.

Comprehensive analysis of potential prognostic genes for the construction of a competing endogenous RNA regulatory network in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is an extremely common malignant tumor with worldwide prevalence. The aim of this study was to identify potential prognostic genes and construct a competing endogenous RNA (ceRNA) regulatory network to explore the mechanisms underlying the development of HCC. METHODS: Integrated analysis was used to identify potential prognostic genes in HCC with R software based on the GSE14520, GSE17548, GSE19665, GSE29721, GSE60502, and the Cancer Genome Atlas databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway-enrichment analyses were performed to explore the molecular mechanisms of potential prognostic genes. Differentially expressed miRNAs (DEMs) and lncRNAs (DELs) were screened based on the Cancer Genome Atlas database. An lncRNA-miRNA-mRNA ceRNA regulatory network was constructed based on information about interactions derived from the miRcode, TargetScan, miRTarBase, and miRDB databases. RESULTS: A total of 152 potential prognostic genes were screened that were differentially expressed in HCC tissue and significantly associated with overall survival of HCC patients. There were 13 key potential prognostic genes in the ceRNA regulatory network: eleven upregulated genes (CCNB1, CEP55, CHEK1, EZH2, KPNA2, LRRC1, PBK, RRM2, SLC7A11, SUCO, and ZWINT) and two downregulated genes (ACSL1 and CDC37L1) whose expression might be regulated by eight DEMs and 61 DELs. Kaplan-Meier curve analysis showed that nine DELs (AL163952.1, AL359878.1, AP002478.1, C2orf48, C10orf91, CLLU1, CLRN1-AS1, ERVMER61-1, and WARS2-IT1) in the ceRNA regulatory network were significantly associated with HCC-patient prognoses. CONCLUSION: This study identified potential prognostic genes and constructed an lncRNA- miRNA-mRNA ceRNA regulatory network of HCC, which not only has important clinical significance for early diagnoses but also provides effective targets for HCC treatments and could provide new insights for HCC-interventional strategies.

The Long Non-Coding RNA SBF2-AS1 Exerts Oncogenic Functions In Gastric Cancer By Targeting The miR-302b-3p/E2F Transcription Factor 3 Axis.

BACKGROUND AND AIMS: Studies show that the long non-coding RNA, SBF2-AS1, plays a critical role in cancer progression, but the role of SBF2-AS1 in gastric cancer has not been reported. Therefore, this study aimed to elucidate the mechanism of SBF2-AS1 in gastric cancer (GC). METHODS: A meta-analysis, based on the gene expression omnibus database and TCGA dataset was performed to explore the prognostic value of SBF2-AS1 in GC. RT-PCR was also conducted to investigate the clinicopathologic value of SBF2-AS1 in GC. The effect of SBF2-AS1 in GC cell lines was conducted by gain or loss-of-function assays, and the SBF2-AS1 target gene was confirmed using a luciferase reporter assay and bioinformatics. RESULTS: SBF2-AS1 was overexpressed in GC tissues and cell lines, and SBF2-AS1 overexpression indicated poor overall survival and could serve as an independent prognostic factor. Moreover, knockdown of SBF2-AS1 inhibited cell growth, invasion, and metastasis, promoted apoptosis, and caused cell cycle arrest. Luciferase reporter and gain- or loss-of-function assays indicated that SBF2-AS1 acted as a competing endogenous (ceRNA) for microRNA (miR)-302b-3p, which blocked the inhibitory effect of miR-302b-3p on the E2F transcription factor 3 (E2F3). CONCLUSION: SBF2-AS1 could be a potential diagnostic and prognostic biomarker in GC, and SBF2-AS1 accelerates tumor progression via the miR-302b-3p/E2F3 axis.

Pseudogene DUXAP10 acts as a diagnostic and prognostic marker and promotes cell proliferation by activating PI3K/AKT pathway in hepatocellular carcinoma.

Background: Recently, the pseudogene DUXAP10 was shown to be overexpressed in various human cancers and emerged as a key cancer regulator. However, the roles of DUXAP10 in hepatocellular carcinoma (HCC) tumorigenesis and progression remain uncharacterized. Methods: Comprehensive analyses were performed to investigate DUXAP10 expression patterns, potential biologic functions, and clinical significance in HCC based on the data downloaded from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. DUXAP10 expression levels in HCC tissue sections and cells were verified using quantitative real-time PCR analysis. DUXAP10-siRNA was used to silence DUXAP10 in the Hep3B cell line to determine the roles of DUXAP10 in HCC cell proliferation. Results: DUXAP10 was significantly overexpressed in HCC, and DUXAP10 upregulation was closely associated with poor prognoses in HCC patients. DUXAP10 knockdown decreased cell proliferation and arrested HCC cells in the G1 phase of the cell cycle. Western blot analysis showed that DUXAP10 knockdown decreased p-AKT expression in HCC cells. Conclusion: Our study demonstrates that pseudogene DUXAP10 promotes HCC cell proliferation by activating PI3K/AKT pathway and could act as a potential diagnostic and prognostic biomarker for HCC patients.

DUXAP8 a Pan-Cancer Prognostic Marker Involved in the Molecular Regulatory Mechanism in Hepatocellular Carcinoma: A Comprehensive Study Based on Data Mining, Bioinformatics, and in vitro Validation.

BACKGROUND: Double homeobox A pseudogene 8 (DUXAP8) has been identified as a key regulator at the posttranscriptional level in various types of cancers. However, whether DUXAP8 has a role in hepatocellular carcinoma (HCC) progression remains to be determined. Here, we aimed to investigate the potential clinical value of DUXAP8 as a pan-cancer marker, and its role in HCC development through an integrated analysis strategy and in vitro experimental validation. METHODS: Comprehensive analysis was performed using data mined from public databases to evaluate the expression patterns and clinical value of DUXAP8 in human pan-cancers. Bioinformatics analysis was performed to investigate the potential biological functions of DUXAP8 in HCC based on TCGA database. Real-time qPCR analysis was used to examine the expression levels of DUXAP8 in HCC tissue samples and cell lines. DUXAP8-siRNA was used to silence DUXAP8 in the Hep-G2 cell line to examine the role of DUXAP8 in HCC cell proliferation and invasion. RESULTS: DUXAP8 was significantly upregulated in various types of human cancers and could serve as a potential pan-cancer diagnostic and prognostic biomarker. Bioinformatics analysis suggested that DUXAP8 might be involved in the regulation of the biological processes of HCC cell cycle, cell division and cell proliferation. Additionally, downregulation of DUXAP8 inhibited HCC cell proliferation and invasion in vitro. CONCLUSION: This study revealed that DUXAP8 may serve as a potential pan-cancer prognostic and diagnostic marker in humans. In addition, DUXAP8 promoted HCC cell proliferation and invasion, suggesting that it may represent a novel therapeutic target for HCC.

Long Non-coding RNA ITIH4-AS1 Accelerates the Proliferation and Metastasis of Colorectal Cancer by Activating JAK/STAT3 Signaling.

Accumulating evidence has uncovered long non-coding RNAs (lncRNAs) as central regulators in the pathogenesis of diverse human cancers including colorectal cancer (CRC). The present study discovered that a novel lncRNA ITIH4 antisense RNA 1 (ITHI4-AS1) was frequently under-expressed in most normal human tissues, including colon tissues. Therefore, we aimed to investigate the role of ITHI4-AS1 in CRC. Interestingly, a significant overexpression of ITIH4-AS1 was observed in CRC cell lines relative to normal NCM460 cells. Also, we investigated the facilitating role of ITIH4-AS1 in CRC cell growth and metastasis both in vitro and in vivo. Additionally, we explained that ITIH4-AS1 upregulation in CRC was attributed to downregulation or even depletion of RE1 silencing transcription factor (REST), a presently identified transcriptional repressor for ITIH4-AS1. Meanwhile, the contribution of ITIH4-AS1 to CRC development was validated to rely on the activation of the JAK/STAT3 pathway. More importantly, we verified that FUS interacted with both ITIH4-AS1 and STAT3, and that ITIH4-AS1 evoked nuclear translocation of phosphorylated (p)-STAT3 in CRC through recruiting FUS. In summary, our findings unveiled for the first time that REST downregulation-enhanced ITIH4-AS1 exerts pro-tumor functions in CRC through FUS-dependent activation of the JAK/STAT3 pathway, implying that targeting ITIH4-AS1 may be a novel effective strategy for CRC therapy.

Clinicopathological and prognostic significance of FoxM1 in hepatocellular carcinoma patients: a meta-analysis.

BACKGROUND AND AIMS: Recently, the abnormal expression of FoxM1 has been found in many malignant tumors. However, the clinicopathological and prognostic value of FoxM1 expression in hepatocellular carcinoma (HCC) patients remains controversial. We conducted a meta-analysis to establish the relationship between FoxM1 expression and the clinicopathological features and prognostic value in patients with HCC. METHODS: An electronic search for relevant articles was conducted according to a set of criteria in the PubMed, Cochrane Library, Web of Science, EMBASE, Chinese CNKI and Chinese WanFang databases. The correlation data between FoxM1 expression and clinicopathological features and survival outcomes were analyzed. Pooled odds ratios (ORs) and hazard ratios (HRs) with 95% CIs were calculated using STATA14.2. RESULTS: A total of 14 studies comprising of 2,036 patients were enrolled in this meta-analysis. The results showed that FoxM1 expression was related to the incidence, tumor size (>5 cm), vascular invasion, differentiation and TNM stage. Moreover, overexpression of FoxM1 indicated a poor 3- and 5-year overall survival rate (OS) and recurrence-free survival rate (disease-free survival rate). CONCLUSION: Our meta-analysis indicated that FoxM1 expression was associated with incidence, tumor size (>5 cm), vascular invasion, differentiation and TNM stage. Accordingly, FoxM1 may be a reliable prognostic biomarker for patients with HCC. However, additional high-quality studies are still needed to further support these findings.

The clinicopathological and prognostic value of HSP27 in hepatocellular carcinoma: a systematic review and meta-analysis.

BACKGROUND: In the recent past, there is increasing evidence demonstrating that HSP27 plays a key role in tumor progression. However, the relationship between HSP27 expression and the clinicopathological features of hepatocellular carcinoma (HCC), as well as its prognostic value in HCC patients remain controversial. Accordingly, we conducted a meta-analysis to assess the correlation between HSP27 expression and HCC, and determine the prognostic value of HSP27 in HCC. METHODS: The data included clinicopathological features and survival information extracted from the published literature in the databases PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, and Wan Fang. The pooled odds ratios and hazard ratios with 95% CIs were calculated using Forest plot analysis. RESULTS: The meta-analysis results indicated that the positive HSP27 expression was significantly correlated with HCC incidence, tumor differentiation, and α-fetoprotein level in patients with HCC. However, the expression of HSP27 was not associated with metastasis, hepatitis B virus surface antigen, gender, tumor size, TNM stage, and vascular invasion. Additionally, HSP27 expression indicated a poor overall survival rate, but it was not related to disease-free survival rate. CONCLUSION: This meta-analysis revealed that HSP27 may play a key role in the development of HCC and could be a reliable biomarker for the prognosis of patients with HCC. However, additional high-quality research is needed to support the results.

Clinicopathological significance and prognostic role of p-STAT3 in patients with hepatocellular carcinoma.

BACKGROUND AND AIM: Constitutive activation of STAT3 through its phosphorylation (p-STAT3) plays a key role in the development and progression of various cancers. However, the relationship between p-STAT3 expression and the clinicopathological features and prognostic value in patients with hepatocellular carcinoma (HCC) remains controversial. We conducted a meta-analysis to evaluate the role of p-STAT3 in HCC. METHODS: The PubMed, Cochrane Library, Web of Science, EMBASE, Chinese CNKI, and Chinese Wanfang databases were searched using the appropriate terms to find the relevant studies on p-STAT3 and HCC. The relationship between p-STAT3 expression and clinicopathological characteristics and prognostic value was established. Pool odds ratios (ORs) and hazard ratios (HRs) with 95% CIs were calculated using the STATA 14.2 software. RESULTS: The eight articles included in this meta-analysis comprised 752 patients. Expression of p-STAT3 was associated with incidence, age, liver cirrhosis, tumor size, vascular invasion, and TNM stage of HCC, but it was not related to gender, alpha-fetoprotein (AFP), hepatitis B surface antigen (HBsAg), number of tumors, and tumor differentiation. Additionally, the expression of p-STAT3 was related to a poor 3- and 5-year overall survival rate and disease-free survival rate. CONCLUSION: Expression of p-STAT3 was associated with the incidence, age, liver cirrhosis, tumor size, vascular invasion, and TNM stage. Thus, p-STAT3 can be a reliable prognostic biomarker for HCC. Further high-quality studies with larger numbers of patients are needed.

Prognostic value of DcR3 in solid tumors: A meta-analysis.

BACKGROUND: Decoy receptor 3 (DcR3) has been reported to be overexpressed in a wide range of solid tumors, suggesting that DcR3 plays a crucial role in the development and progression of cancer. The present meta-analysis assesses the association between DcR3 expression and prognosis in patients with solid tumors. METHODS: Eligible studies were identified by searching the PubMed, Web of Science, Cochrane Library, EMBASE, Chinese CNKI, and Wan Fang databases. The pooled hazard ratios (HRs) for overall survival (OS) and recurrence-free survival (RFS) were calculated using fixed effects models and random effects models, respectively. RESULTS: Data from the 16 included studies, with 2209 patients, were reviewed and analyzed. DcR3 overexpression was significantly associated with worse OS in patients with solid tumors, but its expression might not be related to RFS in malignancies. CONCLUSIONS: Current evidence demonstrates that increased DcR3 expression correlates with a poor prognosis in cancer patients, which suggests that the expression status of DcR3 is a useful biomarker for the prediction of prognosis in patients with solid tumors.

Clinicopathological and prognostic significance of OCT4 in patients with hepatocellular carcinoma: a meta-analysis.

BACKGROUND AND AIMS: Octamer-binding transcription factor 4 (OCT4) has been implicated in the development of hepatocellular carcinoma (HCC), although the findings are controversial. We conducted a meta-analysis to assess the correlation between OCT4 and the clinicopathological characteristics and the prognostic value in HCC. METHODS: An electronic search for relevant articles was conducted in PubMed, Cochrane Library, Web of Science, EMBASE database, Chinese CNKI, and Chinese WanFang database. Correlations between OCT4 expression and clinicopathological features and survival outcomes were analyzed. Pooled odds ratios and hazard ratios with 95% CIs were calculated using STATA 14.2 software. RESULTS: A total of 10 trials with 985 patients were included. Positive OCT4 expression was correlated with tumor size, tumor numbers, differentiation, and TNM stage. OCT4 expression was not correlated with gender, age, hepatitis B surface antigen, alfa-fetoprotein, liver cirrhosis, vascular invasion, or tumor encapsulation. OCT4 expression was associated with poor 3- and 5-year overall survival, and disease-free survival rate. CONCLUSION: OCT4 expression was associated with tumor size, tumor numbers, differentiation, and TNM stage in HCC. OCT4 may be a useful prognostic biomarker for HCC.

Desarda versus Lichtenstein technique for the treatment of primary inguinal hernia: A systematic review.

BACKGROUND: The aim of this study was to compare the effectiveness between Desarda and Lichtenstein inguinal hernia repair. METHODS: An electronic search for articles about Desarda and Lichtenstein technique published between 2001 and July 2017 was conducted in PubMed, Cochrane Library, Web of Science and EMBASE database. Meta-analysis was performed on surgical time, postoperative recovery, complications and recurrence rate. RESULTS: Eight primary studies identified a total of 1014 patients, of whom 500 and 514 underwent Desarda herniorrhaphy and Lichtenstein herniorrhaphy, respectively. There was no significant difference in terms of operating time, return to normal gait, pain score, wound infection, hematoma, foreinbody sensation, seroma and recurrence rate. CONCLUSIONS: Current evidence suggests that there is no difference between Desarda and Lichtenstein technique in short-term effectiveness. Further high-quality, long follow-up randomized controlled trials are needed to provide more reliable evidence.

Prognostic and clinicopathological value of Nanog in hepatocellular carcinoma: A meta-analysis.

BACKGROUND AND AIMS: Recently, studies indicate that Nanog is over-expressed in hepatocellular carcinoma (HCC); however, the relationship between Nanog expression and clinicopathological and prognostic value remains controversial. Therefore, we conducted a meta-analysis to explore the role of Nanog in HCC. METHODS: Articles were included from PubMed, Cochrane Library, Web of Science, EMBASE database, Chinese CNKI, and the Chinese WanFang database. The relationships between Nanog expression, clinicopathological features, and survival rate were calculated. Pooled odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated with STATA14.2. RESULTS: A total of 845 patients from 9 articles were enrolled. Positive Nanog expression was correlated with HBsAg, differentiation, and TNM stage, although it was not related to gender, age, alpha-fetoprotein (AFP), tumor size, tumor number, liver cirrhosis, and vascular invasion. Positive Nanog expression indicates a poor 3-year and 5-year overall survival and disease-free survival rate. CONCLUSION: The results show that Nanog expression was related to HBsAg, differentiation, and TNM stage in HCC. Nanog may be an unfavorable prognostic biomarker for HCC.