Personal Research Database Bibliometric

Full Text: 2014\Tum Biol35, 6783.pdf

Abstract: This meta-analysis of published cohort studies was conducted to evaluate how closely the promoter methylation of the vimentin gene is correlated with the pathogenesis of colorectal carcinogenesis (CRC). The Web of Science (1945 similar to 2013), Cochrane Library Database (issue 12, 2013), PubMed (1966 similar to 2013), EMBASE (1980 similar to 2013), CINAHL (1982 similar to 2013), and Chinese Biomedical Database (CBM) (1982 similar to 2013) were searched without language restrictions. Meta-analyses were conducted using Stata software (Version 12.0, Stata Corporation, College Station, TX, USA). Odds ratios (ORs) and 95 % confidence intervals (95 %CI) were calculated. Seven clinical cohort studies with a total of 467 CRC subjects met our inclusion criteria. Our meta-analysis results demonstrated that the frequency of vimentin promoter methylation in cancer tissues was significantly higher than in normal and benign tissues (cancer tissues vs. normal tissues: OR = 32.41, 95 %CI = 21.04 similar to 49.93, P < 0.001; cancer tissues vs. benign tissues: OR = 1.60, 95 %CI 1.05 similar to 2.42, P = 0.028). Ethnicity-stratified analysis indicated that the frequency of aberrant vimentin promoter methylation was correlated with the pathogenesis of CRC in both Asians and Caucasians. The findings of our meta-analysis confirm that vimentin methylation may play a crucial role in the pathogenesis of CRC.

Keywords: Analysis, Asians, Biomedical, Cancer, Chinese, Clinical, Cohort, Confidence, Confidence Intervals, Criteria, Database, Embase, Gene, Intervals, Language, Meta Analysis, Meta-Analyses, Meta-Analysis, Metaanalysis, Methylation, Normal, P, Pathogenesis, Pubmed, Restrictions, Role, Science, Software, Stata, Usa, Web Of Science

? Wang, H.L., Zhou, P.Y., Liu, P. and Zhang, Y. (2014), Abnormal FHIT protein expression may be correlated with poor prognosis in gastric cancer: A meta-analysis. Tumor Biology, 35 (7), 6815-6821.

Full Text: 2014\Tum Biol35, 6815.pdf

Abstract: Our current meta-analysis is aimed to investigate the relationships between fragile histidine triad (FHIT) protein expression and prognosis in gastric cancer patients. We searched MEDLINE (1966 similar to 2013), the Cochrane Library Database (Issue 12, 2013), EMBASE (1980 similar to 2013), CINAHL (1982 similar to 2013), Web of Science (1945 similar to 2013), and the Chinese Biomedical Database (CBM) (1982 similar to 2013) without any language restrictions. The meta-analysis was conducted using the STATA 12.0 software. Crude hazard ratios (HR) with its 95 % confidence interval (95 % CI) were calculated. Eight clinical cohort studies with a total of 1,361 gastric cancer patients were involved in our meta-analysis. Our results revealed that FHIT-negative patients exhibited a shorter overall survival (OS) time than FHIT-positive patients (HR = 1.23, 95 % CI = 1.01 similar to 1.44, P < 0.001). Ethnicity-stratified analysis demonstrated that FHIT-negative patients have significantly poorer prognosis than FHIT-positive patients among both Caucasians and Asians (all P < 0.05). In conclusion, our meta-analysis provides evidences that negative expression of FHIT protein may be correlated with poor prognosis in patients with gastric cancer. Thus, FHIT expression level may be utilized as an independent prognostic marker for gastric cancer.

Keywords: Analysis, Asians, Biomedical, Cancer, Chinese, Clinical, Cohort, Confidence, Database, Embase, Expression, Gastric, Gastric Cancer, Hazard, Histidine, Interval, Language, Marker, Medline, Meta Analysis, Meta-Analysis, Metaanalysis, P, Patients, Prognosis, Prognostic, Protein, Restrictions, Science, Software, Survival, Web Of Science

? Li, C.J., Dai, Y., Fu, Y.J., Tian, J.M., Li, J.L., Lu, H.J., Duan, F. and Li, Q.W. (2014), Correlations of IFN- genetic polymorphisms with susceptibility to breast cancer: A meta-analysis. Tumor Biology, 35 (7), 6867-6877.

Full Text: 2014\Tum Biol35, 6867.pdf

Abstract: The meta-analysis was conducted to evaluate the correlations between common genetic polymorphisms in the IFN-gamma gene and susceptibility to breast cancer. The following electronic databases were searched without language restrictions: MEDLINE (1966 similar to 2013), the Cochrane Library Database (issue 12, 2013), EMBASE (1980 similar to 2013), CINAHL (1982 similar to 2013), Web of Science (1945 similar to 2013), and the Chinese Biomedical Database (CBM) (1982 similar to 2013). Meta-analysis was performed with the use of the STATA statistical software. Odds ratios (OR) with their 95 % confidence intervals (95 % CIs) were calculated. Nine clinical case-control studies met all the inclusion criteria and were included in this meta-analysis. A total of 1,182 breast cancer patients and 1,525 healthy controls were involved in this meta-analysis. Three functional polymorphisms were assessed, including rs2069705 C > T, rs2430561 T > A, and CA repeats 2/X. Our meta-analysis results indicated that IFN-gamma genetic polymorphisms might be significantly associated with an increased risk of breast cancer (allele model: OR = 1.37, 95 % CI = 1.03 similar to 1.83, P = 0.031; dominant model: OR = 1.55, 95 % CI = 1.01 similar to 2.37, P = 0.046; homozygous model: OR = 2.23, 95 % CI = 1.30 similar to 3.82, P = 0.004; respectively), especially the rs2430561 T > A polymorphism. Subgroup analysis based on ethnicity suggested that genetic polymorphisms in the IFN-gamma gene were closely correlated with increased breast cancer risk among Asians (allele model: OR = 1.21, 95 % CI = 1.02 similar to 1.58, P = 0.017; dominant model: OR = 3.44, 95 % CI = 2.07 similar to 5.71, P < 0.001; recessive model: OR = 1.58, 95 % CI = 1.06 similar to 2.37, P = 0.025; homozygous model: OR = 1.83, 95 % CI = 1.19 similar to 2.80, P = 0.006; respectively), but not among Caucasians (all P > 0.05). Our meta-analysis supported the hypothesis that IFN-gamma genetic polymorphisms may contribute to an increased risk of breast cancer, especially the rs2430561 T > A polymorphism among Asians.

Keywords: Analysis, Asians, Biomedical, Breast Cancer, Cancer, Cancer Risk, Case-Control, Case-Control Studies, Chinese, Clinical, Confidence, Confidence Intervals, Correlations, Criteria, Database, Databases, Embase, Ethnicity, Gene, Genetic, Genetic Polymorphisms, Ifn-Gamma, Intervals, Language, Medline, Meta Analysis, Meta-Analysis, Metaanalysis, Model, P, Patients, Polymorphism, Polymorphisms, Restrictions, Risk, Science, Software, Susceptibility, Web Of Science

? Zhang, X.Y., Zhang, Y., Nie, Y.Q., Wang, S.F., Chen, Y.L. and Sun, D.Z. (2014), Serum Zta antibody of Epstein-Barr virus exerts potential function in the diagnosis of nasopharyngeal cancer. Tumor Biology, 35 (7), 6879-6886.

Full Text: 2014\Tum Biol35, 6879.pdf

Abstract: The diagnosis of nasopharyngeal cancer (NPC) remains a clinical challenge. Many studies have assessed the diagnostic potential of Zta antibody of the Epstein-Barr virus (EBV) in NPC patients but with controversial results. This study aims to summarize the overall diagnostic performance of EBV Zta antibody in NPC. Based on a comprehensive search of the Pubmed and Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang Databases and China Citation Databases, we identified outcome data from all articles estimating diagnostic accuracy of EBV Zta antibody for NPC. A summary estimation for sensitivity, specificity, and other diagnostic indexes were pooled using a bivariate model. The overall measure of accuracy was calculated using summary receiver operating characteristic curve and the area under curve (AUC) was calculated. According to our inclusion criteria, 17 studies with 11,822 subjects (1,645 NPC cases, 10,177 controls) were included. The summary estimates were: sensitivity 0.87 (95 % confidence interval [CI] = 0.86-0.89), specificity 0.94 (95 % CI = 0.93-0.94), positive likelihood ratio 8.05 (95 % CI = 5.59-11.59), negative likelihood ratio 0.16 (95 % CI = 0.12-0.21), diagnostic odds ratio 52.93 (95 % CI = 29.95-93.56), the AUC and Q* index were 0.9352 and 0.8714, respectively. In conclusion, serum EBV Zta had a better diagnostic performance for NPC. Further studies should be performed to confirm our findings.

Keywords: Accuracy, Antibody, Articles, Auc, Cancer, Challenge, China, Chinese, Citation, Clinical, Confidence, Criteria, Data, Databases, Diagnosis, Diagnostic, Diagnostic Accuracy, EBV, Epstein-Barr Virus, Estimates, Function, Index, Interval, Knowledge, Likelihood Ratio, Measure, Model, Odds Ratio, Outcome, Patients, Performance, Potential, Receiver Operating Characteristic Curve, Science, Sensitivity, Serum, Specificity, Web Of Science, ZTA

? Kang, J., Deng, X.Z., Fan, Y.B. and Wu, B. (2014), Relationships of FOXE1 and ATM genetic polymorphisms with papillary thyroid carcinoma risk: A meta-analysis. Tumor Biology, 35 (7), 7085-7096.

Full Text: 2014\Tum Biol35, 7085.pdf

Abstract: We conducted the meta-analysis of all relevant case-control studies aiming to evaluate the relationships of common polymorphisms in forkhead box E1 (FOXE1) and ataxia telangiectasia mutated (ATM) genes to the risk of papillary thyroid carcinoma (PTC). A range of electronic databases were searched without language restrictions: Web of Science (1945 similar to 2013), the Cochrane Library Database (Issue 12, 2013), PubMed (1966 similar to 2013), EMBASE (1980 similar to 2013), CINAHL (1982 similar to 2013), and the Chinese Biomedical Database (CBM) (1982 similar to 2013). This meta-analysis was conducted using the STATA 12.0 software. Crude odds ratio (OR) with their 95 % confidence interval (CI) were calculated. Eight case-control studies with 2,085 PTC patients and 10,341 healthy controls were included. Fourteen common polymorphisms were evaluated, including rs3758249 A > G, rs907577 G > A, rs1867277 G > A, rs3021526 C > T, rs1443434 G > T, rs907580 G > A, rs965513 A > G, rs944289 C > T, and rs189037 G > A polymorphisms in the FOXE1 gene and rs373759 G > A, rs4988099 A > G, rs1801516 G > A, rs664677 T > C, and rs609429 G > C polymorphisms in the ATM gene. Our results demonstrated that the FOXE genetic polymorphisms might be closely related to an increased risk of developing PTC under five genetic models (all P < 0.005), especially for rs3758249, rs907577, rs1867277, rs3021526, rs1443434, rs907580, rs704839, rs894673, and rs10119760 polymorphisms. Nevertheless, no positive associations were found between the ATM genetic polymorphisms and the development of PTC (all P > 0.05). The current meta-analysis provided evidence that FOXE1 genetic polymorphisms may contribute to increased PTC risk, especially for rs3758249, rs907577, rs1867277, rs3021526, rs1443434, rs907580, rs704839, rs894673, and rs10119760 polymorphisms. However, the ATM genetic polymorphisms may not be important dominants of susceptibility to PTC.

Keywords: Atm, Biomedical, Carcinoma, Case-Control, Case-Control Studies, Chinese, Confidence, Database, Databases, Developing, Development, Embase, Evidence, FOXE1, Gene, Genes, Genetic, Genetic Polymorphisms, Interval, Language, Meta Analysis, Meta-Analysis, Metaanalysis, Models, Odds Ratio, P, Patients, Polymorphisms, Pubmed, Restrictions, Risk, Science, Software, Susceptibility, Web Of Science

? Yan, Y.L., Han, F., Fu, H., Xia, W.Y. and Qin, X. (2014), Association between MTHFR C677T polymorphism and thyroid cancer risk: A meta-analysis. Tumor Biology, 35 (8), 7707-7712.

Full Text: 2014\Tum Biol35, 7707.pdf

Abstract: In the light of the relationship between the methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism and thyroid cancer (TC) exist objection, a meta-analysis of the MTHFR C677T polymorphism with thyroid cancer risk was performed. All the available studies were identified through a search of the PubMed, Embase, Web of Science, and Chinese Biomedical Literature Database (CBM) up to March 2014. The association between the MTHFR C677T polymorphism and thyroid cancer risk was conducted by odds ratios (ORs) and 95 % confidence intervals (95 % CIs). A total of five independent studies with 2,554 cases and 2,671 controls were included in our meta-analysis. Significant association was found between MTHFR C677T polymorphism and thyroid cancer risk in recessive model in overall populations (TT vs. TC/CC: OR = 1.88, 95 % CI = 1.59-2.21, P = 0.00), but there was no association between MTHFR C677T polymorphism and thyroid cancer risk found in other four models in overall populations (T vs. C: OR = 1.25, 95 % CI = 0.96-1.62, P = 0.10; TT vs. CC: OR = 1.11, 95 % CI = 0.93-1.33, P = 0.26; TC vs. CC: OR = 1.23, 95 % CI = 0.84-1.82, P = 0.29; TT/TC vs. CC: OR = 1.28, 95 % CI = 0.89-1.84, P = 0.19). In the subgroup analysis base on the ethnicity, the results suggested that MTHFR C677T polymorphism was significantly associated with thyroid cancer risk both in Caucasian and Asian populations in recessive model: (Caucasians: TT vs. TC/CC: OR = 2.28, 95 % CI = 1.11-4.67, P = 0.025; Asians: TT vs. TC/CC: OR = 1.86, 95 % CI = 1.57-2.20, P = 0.00). In conclusions, our meta-analysis suggested that the MTHFR C677T polymorphism is associated with thyroid cancer both in Caucasians and Asians.

Keywords: Analysis, Asian, Asians, Association, Bias, Biomedical, Cancer, Cancer Risk, Carcinoma, Caucasian, Chinese, Common Mutation, Confidence, Confidence Intervals, Database, Disease, Ethnicity, Folate Status, Intervals, Literature, Meta Analysis, Meta-Analysis, Metaanalysis, Methylenetetrahydrofolate Reductase Gene, Model, Models, Mthfr, Mthfr C677t, P, Polymorphism, Population, Populations, Pubmed, Risk, Science, Thyroid Cancer, Web Of Science

? Cheng, D.Y., Hao, Y.W., Zhou, W.L. and Ma, Y.R. (2014), Association between Toll-like receptor 3 polymorphisms and cancer risk: A meta-analysis. Tumor Biology, 35 (8), 7837-7846.

Full Text: 2014\Tum Biol35, 7837.pdf

Abstract: Toll-like receptors (TLRs) are well known as molecular sensors of pathogen-associated molecular patterns. They control activation of the innate immune response and subsequently shape the adaptive immune response. Polymorphisms in TLR3 gene associated with cancer have been studied extensively. However, the results remain controversial. A literature search was performed among PubMed, Embase, Web of Science, Science Direct, Wanfang, and Chinese National Knowledge Infrastructure databases to identify eligible studies on the association between TLR3 polymorphisms and cancer risk. A total of 12 studies in 11 articles were included in the meta-analysis including 5,861 cases and 6,339 controls. Significant associations with cancer risk were observed for single nucleotide polymorphisms (SNPs) rs3775291 (allele model: odds ratio (OR) = 1.12, 95 % confidence interval (95 % CI) = 1.00-1.25, P = 0.04), rs3775290 (allele model: OR = 1.12, 95 % CI = 1.00-1.25, P = 0.04; dominant model: OR = 1.30, 95 % CI = 1.05-1.60, P = 0.01; homozygous comparison: OR = 1.68, 95 % CI = 1.06-2.68, P = 0.03; heterozygous comparison: OR = 1.25, 95 % CI = 1.01-1.55, P = 0.04), rs5743305 (allele model: OR = 1.07, 95 % CI = 1.01-1.15, P = 0.03; dominant model: OR = 1.11, 95 % CI = 1.01-1.22, P = 0.03), and rs5743312 (allele model: OR = 1.13, 95 % CI = 1.01-1.27, P = 0.03; recessive model: OR = 1.86, 95 % CI = 1.31-2.63, P < 0.01; homozygous comparison: OR = 1.88, 95 % CI = 1.33-2.67, P < 0.01), respectively. Meanwhile, we did not find any significant association with cancer risk for rs7657186 and rs7668666. In conclusion, this meta-analysis indicates a significant association of four TLR3 gene polymorphisms with cancer risk. However, because the study size was limited, further studies are essential to confirm our results.

Keywords: Activation, Apoptosis, Articles, Association, Cancer, Cancer Risk, Cell Carcinoma, Chinese, Comparison, Confidence, Control, Databases, Double-Stranded-Rna, Expression, Gene, Genetic Polymorphisms, Immune, Immune Response, Innate, Interval, Knowledge, Literature, Literature Search, Meta Analysis, Meta-Analysis, Metaanalysis, Model, Nasopharyngeal Carcinoma, North Indian Population, Odds Ratio, P, Polymorphism, Polymorphisms, Pubmed, Response, Risk, Science, Single-Nucleotide Polymorphisms, Size, Tlr3, Toll-Like Receptor, Web Of Science

? Wang, S.L., Chen, X.D. and Tang, M.Y. (2014), Quantitative assessment of the diagnostic role of human telomerase activity from pancreatic juice in pancreatic cancer. Tumor Biology, 35 (8), 7897-7904.

Full Text: 2014\Tum Biol35, 7897.pdf

Abstract: Many studies have shown that human telomerase activity could play potential role as a diagnostic biomarker of pancreatic cancer (PaC). The aim of this meta-analysis is to summarize the clinical value of human telomerase activity in the diagnosis of PaC. Eligible studies from PubMed, Embase, the Cochrane Library, Web of Science, Ovid, Sci Verse, Science Direct, Scopus, BioMed Central, Biosis previews, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Technology of Chongqing (VIP), and Wan Fang databases were searched concerning the diagnostic value of human telomerase activity in PaC without language restriction. The quality of each study was scored with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS). Sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR, respectively), and diagnostic odds ratio (DOR) for human telomerase activity in the diagnosis of PaC were pooled. Summary receiver operating characteristic (SROC) curve analysis and the area under the curve (AUC) were used to estimate the overall test performance. Evidence of heterogeneity was evaluated using the Chi-square and I (2) test. Meta-Disc 1.4 and Stata 12.0 software were used to analyze the data. Nine studies with a total 186 PaC patients and 132 control individuals were included in this meta-analysis. All of the included studies are of high quality (QUADAS score a parts per thousand yen10). The summary estimate was 0.83 (95 % confidence interval (CI), 95 % CI = 0.77-0.88) for sensitivity and 0.72 (95 % CI = 0.64-0.79) for specificity. The positive likelihood (PLR), negative likelihood (NLR), and diagnostic odds (DOR) ratios were 3 (95 % CI = 1.67-5.41), 0.25 (95 % CI = 0.13-0.46), and 3 (95 % CI = 4.91-43.23), respectively. The area under the summary ROC curve (AUC) and Q* index for the diagnosis of PaC were 0.88 and 0.81, respectively. Our study demonstrates that telomerase could be a useful tumor marker for PaC diagnosis. Although more studies are needed to highlight the theoretical strengths, these results will provide theoretical basis for bringing telomerase activity detection into PaC screening plan.

Keywords: Activity, Analysis, Assessment, Auc, Biomarker, Biomedical, Biosis, Cancer, Chi-Square, Chinese, Clinical, Confidence, Control, Data, Database, Databases, Diagnosis, Diagnostic, Differential-Diagnosis, Evidence, From, Heterogeneity, Human, Immortal Cells, Index, Interval, K-Ras Mutations, Knowledge, Language, Lesions, Literature, Marker, Meta Analysis, Meta-Analysis, Metaanalysis, Odds Ratio, Pancreatic Cancer, Pancreatic Juice, Patients, Performance, Potential, Pubmed, Quality, Quality Of, Quantitative Assessment, Roc, Role, Science, Scopus, Screening, Sensitivity, Software, Specificity, Stata, Technology, Telomerase, Tests, Theoretical, Tumor, Value, Web Of Science

? Zong, H.L., Cao, L., Ma, C., Zhao, J.P., Ming, X., Shang, M. and Xu, H.S. (2014), Association between the G870A polymorphism of Cyclin D1 gene and glioma risk. Tumor Biology, 35 (8), 8095-8101.

Full Text: 2014\Tum Biol35, 8095.pdf

Abstract: Previous studies have shown the association of the Cyclin D1 (CCND1) G870A polymorphism with glioma risk, but the findings are inconsistent and inconclusive. To shed some light on the findings across individual studies and acquire a quantitative assessment of this association, we conducted a meta-analysis of all published case-control studies thus far. Four independent studies with a total of 690 cases and 1,014 controls were identified after a systematic search of the PubMed, Embase, Web of Science, and Wanfang databases. The strength of the association between the CCND1 G870A polymorphism and glioma risk was estimated by the pooled odds ratios (ORs) with 95 % confidence intervals (95 %CIs). Subgroup analysis by ethnicity was also performed. Overall, a statistically significant association was found between the CCND1 G870A polymorphism and glioma risk in three genetic models (ORA vs. G = 1.178, 95 %CI 1.025-1.354, P (OR) = 0.021; ORAA vs. GG = 1.328, 95 %CI 1.007-1.750, P (OR) = 0.045; ORAA + AG vs. GG = 1.253, 95 %CI 1.006-1.516, P (OR) = 0.044). In subgroup analysis, the pooled ORs suggested that the CCND1 G870A polymorphism was associated with an increased risk of glioma in Caucasians under the heterozygote and dominant genetic models (ORAG vs. GG = 1.329, 95 %CI 1.001-1.766, P (OR) = 0.049; ORAA + AG vs. GG = 1.332, 95 %CI 1.019-1.740, P (OR) = 0.036). The meta-analysis suggests that the CCND1 G870A polymorphism is a risk factor for the development of glioma.

Keywords: A870g Polymorphism, Ag, Analysis, Assessment, Association, Bladder-Cancer, Case-Control, Case-Control Studies, Ccnd1, Ccnd1 G870a, Cell-Cycle, Chinese Population, Colorectal-Cancer, Confidence, Confidence Intervals, D1, Databases, Development, Ethnicity, Gene, Genetic, Gg, Glioma, Graphical Test, Intervals, Meta Analysis, Meta-Analysis, Metaanalysis, Models, P, Polymorphism, Primary Brain-Tumors, Pubmed, Risk, Risk Factor, Science, Splice Variants, Strength, Susceptibility, Systematic, Web Of Science

? Dai, D., Dong, X.H., Cheng, S.T., Zhu, G. and Guo, X.L. (2014), Aberrant promoter methylation of HIN-1 gene may contribute to the pathogenesis of breast cancer: A meta-analysis. Tumor Biology, 35 (8), 8209-8216.

Full Text: 2014\Tum Biol35, 8209.pdf

Abstract: We conducted the present meta-analysis of relevant cohort studies to evaluate whether promoter methylation of the high in normal-1 (HIN-1) gene contributes to breast cancer. The MEDLINE (1966 similar to 2013), Cochrane Library (Issue 12, 2013), EMBASE (1980 similar to 2013), CINAHL (1982 similar to 2013), Web of Science (1945 similar to 2013), and Chinese Biomedical (CBM) (1982 similar to 2013) databases were searched without any language restrictions. Meta-analyses were conducted using Stata software (version 12.0; Stata Corporation, College Station, TX, USA). Crude odds ratios (ORs) with their 95 % confidence interval (CI) were calculated. Nine clinical cohort studies that enrolled a total of 693 breast cancer patients were included in the meta-analysis. The results of our meta-analysis demonstrated that HIN-1 methylation frequency in cancer tissue was significantly higher than that of normal and benign tissues (cancer tissue vs. normal tissue: OR = 52.60, 95 % CI = 33.77 similar to 81.92, P < 0.001; cancer tissue vs. benign tissue: OR = 2.38, 95 % CI = 1.53 similar to 3.70, P < 0.001; respectively). Ethnicity-stratified analysis indicated that HIN-1 promoter methylation was correlated with the pathogenesis of breast cancer among both Asians and Caucasians (all P < 0.05). Our findings provide empirical evidence that aberrant HIN-1 promoter methylation may contribute to the pathogenesis of breast cancer. Thus, aberrant HIN-1 promoter methylation could be an independent and important biomarker used in predicting the prognosis and progression of breast cancer.

Keywords: Analysis, Asians, Biomarker, Biomedical, Breast Cancer, Cancer, Carcinoma, Chinese, Clinical, Cohort, Confidence, Cpg Methylation, Databases, Dna Methylation, Embase, Evidence, Expression, Gene, Hin-1, Interval, Language, Medline, Meta Analysis, Meta-Analyses, Meta-Analysis, Metaanalysis, Methylation, Normal, P, Pathogenesis, Patients, Profiles, Prognosis, Progression, Promoter Methylation, Restrictions, Risk-Factors, SCGB3A1, Science, Software, Stata, USA, Version, Web Of Science, Women

? Cai, B., Wu, Z.J., Liao, K. and Zhang, S. (2014), Long noncoding RNA HOTAIR can serve as a common molecular marker for lymph node metastasis: A meta-analysis. Tumor Biology,