Literature DB >> 28147315

Prognostic value of reduced E-cadherin expression in breast cancer: a meta-analysis.

Zhan Li1, Songcheng Yin2, Lei Zhang1, Weiguang Liu1, Bo Chen1.   

Abstract

The prognostic value of E-cadherin expression in patients with breast cancer has been studied for years, yet results remain controversial. We thus performed a comprehensive evaluation of the association between E-cadherin expression and prognosis through a meta-analysis. The databases PubMed, Embase and Cochrane Library were searched. A total of 7,353 patients from 33 studies were subject to final analysis. The results showed there was a significant association between reduced expression of E-cadherin and overall survival (OS) (HR 1.79, 95% CI 1.41-2.27) and disease-free survival (DFS) (HR 1.62, 95% CI 1.31-1.99) in breast cancer. Downregulated expression of E-cadherin significantly correlated with tumor histological grade (OR 1.44, 95% CI 1.06-1.96), TNM stage (OR 2.44, 95% CI 1.75-3.41), tumor size (OR 1.38, 95% CI 1.18-1.60), lymph node status (OR 1.55, 95% CI 1.15-2.10), and progesterone receptor status (OR 1.44, 95% CI 1.10-1.88).This meta-analysis suggested that reduced E-cadherin expression might be a predictor of a poorer prognosis and could be a potentially new gene therapy target for breast cancer patients.

Entities:  

Keywords:  E-cadherin; biomarker; breast cancer; meta-analysis; prognosis

Mesh:

Substances:

Year:  2017        PMID: 28147315      PMCID: PMC5369975          DOI: 10.18632/oncotarget.14860

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Among women in the world, breast cancer is the most common cancer with an estimated 1.67 million new cases diagnosed (25% of all cancers) and it was the most frequent cause of cancer death (522,000 deaths, 14.7% of total) in 2012 [1]. Although comprehensive treatment is available,, including radical surgery and adjuvant therapy, the prognosis of breast cancer patients is still far from optimistic [2]. Several common clinicopathological parameters, which include tumor size, lymph node status, histological grade, estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor-2 (HER-2) have been extensively applied in the clinic [3]. However, they do not accurately predict an individual's prognosis [4]. It is imperative to explore new prognostic factors to guide treatment and ameliorate survival rates for breast cancer patients [4]. E-cadherin is an essential intercellular adhesion molecule that combines with catenins to form an E-cadherin/β-catenin/α-catenin complex, which is further linked to the actin cytoskeleton [5]. It plays an important role not only in mediating stability of cell adhesion and cell polarity but also in maintaining the integrity of structure and function in epithelial tissues [6, 7]. Downregulated expression of E-cadherin destroys the intracellular junction and thus epithelial cells acquire the ability to migrate. Consequently, decreased expression of E-cadherin facilitates tumor invasion and metastasis [8, 9]. Reduced expression of E-cadherin caused by oncocytes involves several molecular mechanisms: CDH1 gene mutation, CDH1 promoter hypermethylation, suppression of RNA transcription, and matriptase activation [10]. It has been reported by Rakha et al. that downregulated expression of E-cadherin was correlated with poor survival in a study of 1,516 breast cancer patients [11]. However, Gillett et al. assessed the aberrant expression of E-cadherin in 470 cases of infiltrating ductal cancer (IDC) and concluded that low-expression of E-cadherin was a favorable prognostic factor [12]. Wang et al. found there was no relationship between E-cadherin expression and prognostic [13]. Therefore, we conducted a meta-analysis to evaluate the association between E-cadherin low-expression and overall survival (OS), disease-free survival (DFS), and clinicopathological parameters in breast cancer.

RESULTS

Search results

A total of 2,192 citations were potentially identified for inclusion using the described search strategies. Through reviewing the title and abstracts, 1,952 papers were excluded. Subsequently, an additional 164 records were excluded for the following reasons: They were reviews, conference abstracts, and experimental studies; the source of the tissue was not breast cancer; and, the target protein was not E-cadherin. We then systematically read the full text of the remaining 76 articles and filtered out an additional 43 papers. Among the excluded papers, 21 studies were not associated with survival, 19 studies had no sufficient survival data to analyze and three studies had overlapped data with other published trials. Ultimately, 33 studies [11-43] were included (Figure 1).
Figure 1

Flow diagram of the study selection process

Study characteristics

The fundamental features of the identified articles are shown in Table 1. The total number of patients was 7,353, ranging from 29 to 1,516 in any one study with mean ages of 46–60 years. These studies were published between 1994 and 2016. For the prognostic indicator of reduced E-cadherin expression in breast cancer, 15 articles reported both OS and DFS, 10 articles reported OS, and eight articles reported DFS.
Table 1

Characteristics of studies included in our meta-analysis

AuthoryearcountryMean age(year)stageNlocationMedian Follow-up(month)Cut-offvalueMethodSurvivalHR estimatedNOS
Asgeirsson2000Iceland58NR108M,7150%IHCDFSHR9
Yu2015ChinaNRI-III169M, C63.5165IHCDFS, OSCurves7
Pedersen2002Norway55I-IV61M795%IHCOSCurves7
Siitonen1995Finland60I-IV109NR5110%IHCDFSA7
Charpin1998France55I-III179M674%IHCOSCurves8
Kashiwagi2010Japan58I-III574M45.730%IHCDFS, OSCurves7
Wang2015China47I-III571M54Scores ≤ 99IHCDFS, OSA8
Shi2015China51NR96M, C65.228%IHCOSHR9
Pang2013China46I-III170M75Scores ≤ 3IHCDFS, OSHR8
Wang2014China54I-III29NR5025%IHCDFS, OSA8
Liu2014china51NR100C65.428%IHCOSHR8
Yang2015ChinaNRNR125M89Scores < 6IHCDFS, OSHR7
Bankfalvi1999GermanyNRI-IV55M775%IHCDFS, OSCurves7
Heimann2000America57NR168NR16825%IHCDFSHR9
Pistelli2014Italy54I-III81M52.430%IHCDFS, OSHR8
Gillett2001UK53III470M, CNRScores ≤ 1IHCDFS, OSA6
Kim2010Korea49I-IV98M, C67.870%IHCOSHR7
Lipponen1994Finland57I-IV207M171.650%IHCOSCurves6
Zhou2016ChinaNRI-IV119M, C6010%IHCDFS, OSCurves7
Li2014ChinaNRI-III250NR60Scores < 3IHCDFSHR7
Park2007Norway54I-III196M40Scores ≤ 3IHCDFSCurves7
Ricciardi2015Italy59I-IV45MNR30%IHCOSHR7
Zhang2015China50I-III408NR16NRIHCDFS, OSA7
Rakha2005UK53I-III1516M56Scores ≤ 1IHCDFS, OSHR8
Saadatmand2012Netherland57I-IV502M22853%IHCDFSHR8
Szasz2011Hungary60I-III197M111NRIHCDFSCurves6
Brzozowska2012Poland58I-III89NR113.470%IHCDFS, OSCurves7
Yoshida2001Japan54I-IV171NR59.2Scores < 1IHCDFS, OSCurves7
Eljuga2012CroatiaNRI-III134MNRScores ≤ 2IHCOSCurves7
Kavgaci2010Turkey51I-III76M93.610%IHCDFS, OSCurves8
Lim2002Korea49I-III128M58.570%IHCOSA8
Kawahara1997Japan52I-IV98NR27Scores ≤ 4IHCDFSCurves7
Liu2006China49I-III54M36.510%IHCOSA6

NR, not reported; M, membrane; C, cytoplasm; IHC, immunohistochemistry; DFS, disease-free survival; OS, overall survival; HR: hazard ratio; Curves, extrapolated from Kaplan–Meier curves; A, calculated based on the available information; NOS, Newcastle–Ottawa Scale.

NR, not reported; M, membrane; C, cytoplasm; IHC, immunohistochemistry; DFS, disease-free survival; OS, overall survival; HR: hazard ratio; Curves, extrapolated from Kaplan–Meier curves; A, calculated based on the available information; NOS, Newcastle–Ottawa Scale.

Impact of reduced E-cadherin expression on OS and DFS

The overall analysis revealed that E-cadherin-negative breast cancer patients had a higher risk of mortality (pooled HR 1.79, 95% CI 1.41–2.27, Figure 2) with heterogeneity (I2 = 67.3%, P < 0.001). To investigate the source of the OS heterogeneity, subgroup analysis and meta-regression were performed according to publication year, study location, HR estimate, IHC scoring criteria, subcellular localization and pathological types (Table 2). In subgroup analysis, the pooled HRs directly extracted from studies and obtained from Kaplan–Meier curves were 1.77 (95% CI 1.41–2.28) and 1.92 (95% CI 1.55–2.39), demonstrating that reduced expression of E-cadherin was significantly associated with poor OS. Meta-regression analysis indicated that there was no statistically significant difference among subgroups (P = 0.637). When the scoring criteria of IHC was taken into consideration, the pooled HR of E-cadherin expression in percentage group was 2.19 (95% CI 1.78–2.70), indicating that there was a significant relationship between reduced expression of E-cadherin and poor OS. In meta-regression analysis, results showed that the difference among subgroups was statistically significant (P = 0.024). Pooled HRs were 1.57 (95% CI 1.17–2.10) in the membrane E-cadherin expression group and 2.80 (95% CI 1.92–4.10) in the membrane and cytoplasm E-cadherin co-expression group. Meta-regression analysis showed that there was no statistically significant difference between subgroups (P = 0.061).
Figure 2

Forest plot of hazard ratio (HR) for the correlation between reduced E-cadherin expression and OS in breast cancer patient

Table 2

Stratified analysis of pooled hazard ratios of breast cancer patients with reduced E-cadherin expression on OS and DFS

StratifiedanalysisOSDFS
Pooled HR (95%CI)Meta-regressionP valueHeterogeneityPooled HR (95%CI)Meta-regressionP valueHeterogeneity
fixedrandomI2P valuefixedrandomI2P value
Year0.9370.791
< 20101.32 (1.12,1.56)1.85 (1.22,2.81)79.0%< 0.0011.38 (1.20,1.59)1.69 (1.19,2.40)79.9%< 0.001
≥ 20101.46 (1.23,1.73)1.77 (1.30,2.41)57.4%0.0021.49 (1.29,1.73)1.58 (1.21,1.99)63.2%0.001
Nation0.2090.925
Asia1.56 (1.30,1.88)2.12 (1.45,3.09)68.9%< 0.0011.44 (1.21,1.71)1.61 (1.13,2.28)69.6%< 0.001
Non-Asia1.27 (1.08,1.48)1.51 (1.09,2.08)65.8%0.0011.43 (1.27,1.61)1.63 (1.24,2.14)74.3%< 0.001
HR estimate0.6370.485
Directly1.65 (1.30,2.09)1.77 (1.41,2.28)55.5%0.0281.67 (1.23,2.26)1.63 (1.40,1.91)62.4%0.009
Calculated0.99 (0.83,1.19)1.60 (0.93,2.75)81.3%< 0.0011.13 (0.75,1.71)0.94 (0.79,1.13)74.1%0.004
Curves1.92 (1.55,2.39)1.92 (1.55,2.39)0.0%0.6931.93 (1.59,2.34)1.93 (1.59,2.34)0.0%0.512
Scoring criteria0.0240.423
Percentage2.19 (1.78,2.70)2.19 (1.78,2.70)0.0%0.6132.11 (1.52,2.92)2.13 (1.68,2.70)38.5%0.135
Intensity0.93 (0.74,1.16)1.21 (0.68,2.15)72.9%0.0111.19 (0.76,1.87)1.09 (0.92,1.30)79.6%0.001
Combined1.22 (1.00,1.48)1.33 (0.84,2.10)74.8%0.0031.58 (1.20,2.09)1.47 (1.27,1.70)63.3%0.004
Location0.0610.031
M1.24 (1.09,1.41)1.57 (1.17,2.10)71.8 %< 0.0011.29 (1.16,1.45)1.37 (1.07,1.75)73.8%< 0.001
C, M2.80 (1.92,4.10)2.80 (1.92,4.10)0%0.9253.35 (2.03,5.53)3.35 (2.03,5.53)0.0%0.529
Pathological type
IDC1.13 (0,97,1.32)1.61 (1.09,2.39)78.1%< 0.0011.12 (0.95,1.31)1.58 (1.03,2.44)82.4%< 0.001
23 studies evaluated the relationship between decreased E-cadherin expression and DFS, the results showed that E-cadherin low-expression predicted poorer disease-free survival (pooled HR 1.62, 95% CI 1.31–1.99, Figure 3) with significant heterogeneity (I2 = 70.9%, P < 0.001) of patients with breast cancer. We also conducted subgroup analysis and meta-regression to explain the heterogeneity from six aspects, which are detailed in Table 2. In subgroup analysis, the pooled HRs directly extracted from studies and obtained from Kaplan–Meier curves were 1.63 (95% CI 1.40–1.91) and 1.93 (95% CI 1.59–2.34). Both of them showed that reduced expression of E-cadherin was significantly associated with disease progression. No significant heterogeneity was found in meta-regression analysis (P = 0.485). Pooled HRs were 2.11 (95% CI 1.52–2.92) in the percentage group and 1.47 (95% CI 1.27–1.70) in the complex score group. Meta-regression analysis showed that no significant statistical difference was found (P = 0.423). The results showed that in the group of membrane location (pooled HR 1.37, 95% CI 1.07–1.75) and group of membrane and cytoplasm location (pooled HR 3.35, 95% CI 2.03–5.53), indicating that downregulated expression of E-cadherin was correlated with poor DFS. Importantly, a significant heterogeneity was observed in meta-regression analysis (P = 0.031).
Figure 3

A. Forest plot of hazard ratio (HR) for the association between reduced E-cadherin expression and DFS in breast cancer patient

Evaluation of reduced E-cadherin expression and clinicopathological characteristics

As illustrated in Table 3, E-cadherin low-expression was significantly associated with lymph node (positive vs. negative: OR 1.55, 95% CI 1.15–2.10), tumor size (≥ 2 cm vs. < 2 cm, OR 1.38, 95% CI 1.18–1.60), histological grade (II–III vs. I: OR 1.44, 95% CI 1.06–1.96), TNM stage (T3/T4 vs. T1/T2: OR 2.44, 95% CI 1.75–3.41), and PR status (negative vs. positive: OR 1.44, 95% CI 1.10–1.88). However, no significant correlation was found between E-cadherin low-expression and ER status (negative vs. positive: OR 1.32, 95% CI 0.94–1.84), HER-2 status (≥ 2+ vs. 1+ OR 1.36, 95% CI 0.86–2.16), onset age (≥ 50 vs. < 50 OR 1.03, 95% CI 0.85–1.24), menstrual status (post vs. premenstrual OR 1.20, 95% CI 0.90–1.60), and pathological type (IDC vs. others OR 0.77, 95% CI 0.59–1.00).
Table 3

Meta-analysis of reduced E-cadherin expression and clinicopathological features in breast cancer

No. of studiesPheterogeneityI2(%)Effect ModelPooled OR(95%CI)P Value
Tumor size(≥ 2 vs.< 2)120.7340.0Fixed model1.38 (1.18,1.60)< 0.001
Age(≥ 50 vs.< 50)120.20525.0Fixed model1.03 (0.85,1.24)0.706
Histological grade(II/IIIvs.I)140.00163.6Random model1.44 (1.06,1.96)0.02
TNM stage(T3/T4vs.T1/T2)70.08645.9Fixed model2.44 (1.75,3.41)< 0.001
Pathological type(IDC vs.Others)70.6290.0Fixed model0.77 (0.59,1.00)0.054
Menopause status(Post vs.Pre)60.34111.6Fixed model1.20 (0.90,1.60)0.219
Lymph node status(+ vs.−)15< 0.00172.1Random model1.55 (1.15,2.10)0.005
ER status(− vs.+)120.00261.8Random model1.32 (0.94,1.84)0.108
PR status(− vs.+)80.3994.0Fixed model1.44 (1.10,1.88)0.007
Her2 status(≥ 2+ vs.1+)50.19733.6Fixed model1.36 (0.86,2.16)0.185

Sensitivity analysis

We further performed sensitivity analysis to gauge the stability of our results with respect to OS, DFS, and clinicopathological characteristics. The plots illustrated the robustness of our results because excluding any single study did not significantly influence pooled HRs or ORs (Figure 4).
Figure 4

Sensitivity analysis in this meta-analysis

(A) Sensitivity analysis for the reduced E-cadherin expression with OS. (B) Sensitivity analysis for the reduced E-cadherin expression with DFS.

Sensitivity analysis in this meta-analysis

(A) Sensitivity analysis for the reduced E-cadherin expression with OS. (B) Sensitivity analysis for the reduced E-cadherin expression with DFS.

Publication bias

To assess the publication bias in this meta-analysis, we used both Egger's test and Begg's funnel plots. Both of these tests present the potential proof of the asymmetry of investigating the reduced expression of E-cadherin on OS (PEgger= 0.001, PBegg= 0.388). Trim-and-fill analysis showed that after incorporating six additional articles, the funnel plots were symmetrical and E-cadherin low-expression was positively correlated with poor OS (corrected HR 1.50, 95% CI 1.20–1.87). Meanwhile, the impact of absent E-cadherin expression on clinicopathological characteristics, Egger's test indicated publication bias existed in lymph node metastasis (PEgger= 0.048). Trim-and-fill analysis was conducted and the results showed that abnormal expression of E-cadherin was significantly correlated with lymph node metastasis after incorporating two additional articles (corrected OR 1.39, 95% CI 1.04–1.87). Referring to other indicators, no publication bias was found in these articles. Funnel plots are shown in Figure 5.
Figure 5

Funnel plot for the assessment of publication bias in this study

(A) Funnel plot of trim-and-fill analysis for the reduced E-cadherin expression with OS (B) Funnel plot for the reduced E-cadherin expression with DFS.

Funnel plot for the assessment of publication bias in this study

(A) Funnel plot of trim-and-fill analysis for the reduced E-cadherin expression with OS (B) Funnel plot for the reduced E-cadherin expression with DFS.

DISCUSSION

E-cadherin, a member of cadherin superfamily of transmembrane glycoproteins, is a linker protein of cell-cell junctions [44]. It is well-known that the functional loss of E-cadherin has been viewed as the most important hallmark of epithelial–mesenchymal transition (EMT), which induces tumor cell dissemination and subsequently increases cell migration and invasion [45, 46]. Besides, the absent of E-cadherin expression has an inseparable relationship with resistance of tumor cells to chemotherapy and radiotherapy [47] and causes cancer cells to present apparent properties of cancer stem cells (CSCs) [48]. Many studies have evaluated the association between decreased E-cadherin expression and the prognosis of breast cancer patients. However, the results are inconsistent. We summarized outcomes from a total of 33 individual studies that included 7,353 breast cancer patients. From this analysis we reached the conclusion that reduced E-cadherin expression significantly predicted poor OS and DFS. Furthermore, the downregulated expression of E-cadherin was correlated with tumor size, lymph node status, TNM stage, and histological grade. E-cadherin is often split into fragments in the cytoplasm, which in theory its functions would not play an inhibitory effect on EMT [46, 49]. As a result, we further performed a subgroup according to the location of E-cadherin expression. The results showed that E-cadherin expression on membrane was significantly associated with OS (HR 1.57, 95% CI 1.17–2.10) and DFS (HR 1.37, 95% CI 1.07–1.75), which demonstrated that the prognostic role of E-cadherin expressed on the membrane is more precise and meaningful. Considering the heterogeneity of intra-tumor, we conduct a subgroup analysis according to the pathological types of breast cancer. In the subgroup of IDC, the pooled HRs showed that reduced expression of E-cadherin was significantly associated with poor OS (HR 1.62, 95% CI 1.08-2.43) and DFS (HR 1.60, 95% CI 1.09–2.34). It's necessary to analyze the heterogeneity of inter-tumor cells as the prognostic values of E-cadherin may quite different in breast cancer stem cell (CSC) subpopulations [48]. However, it's a pity that there is no articles explored the correlation between E-cadherin expression in CSCs and prognosis, and more original research need to be conducted at this field in the future. When pooling survival data on OS and DFS, we observed significant heterogeneity among articles. Consequently, meta-regression analysis was conducted and it suggested that IHC scoring criteria and subcellular localization might be vital variables associated with this heterogeneity. In subgroup analysis of IHC scoring criteria, the heterogeneity of E-cadherin expression calculated by percentage group was less than 50%, while the other groups had significant heterogeneity. The potential reason could be that compared with the detection method of staining intensity, assessing the percentage of positive cells was more objective and had more practical clinical implications. In subgroup analysis according to locations of E-cadherin expression, heterogeneity was significant in membrane E-cadherin expression group. It may mainly come from the differences in sample sizes, molecular subtypes, demographic or clinicopathologic data of observational studies. Compared with analyses performed in 2006 [50], the advantages of this meta-analysis were not only that it included more studies and subjects to confirm clinical validity but also that it provided more rigorous evidence to support the results. More importantly, we demonstrated that the prognostic role of E-cadherin expressed on the membrane is more meaningful. Furthermore, we assessed the association between E-cadherin expression and clinicopathological characteristics for breast carcinoma patients. There were limitations in our meta-analysis. First, different primary antibody sources and antibody dilution ratios can lead to differences in IHC sensitivity. Second, there was no uniform scoring criteria to define E-cadherin positive expression. Furthermore, cut-off values defining reduced E-cadherin expression varied from 5 to 70% without an optimal threshold. Third, HRs estimated from available data and obtained from Kaplan–Meier curves were less reliable owing to inaccuracies in the calculation of censored data. Fourth, we had to exclude studies that had no statistical significance because it was difficult to obtain specific data with which to calculate HRs. Finally, meaningful results trended to be published in English, whereas negative ones were more likely to be published in native languages. In conclusion, our meta-analysis suggest that reduced E-cadherin expression was not only significantly associated with poorer OS and DFS but also correlated with clinicopathological characteristics including tumor size, lymph node status, TNM stage, and histological grade of breast cancer patients. E-cadherin low-expression might be a useful biomarker for predicting poorer prognosis, especially in the location of membrane, and could be a valuable therapeutic target for breast cancer patients.

MATERIALS AND METHODS

Search strategy

We searched for studies on E-cadherin expression and its association with breast cancer prognosis in electronic databases: PubMed, EMBASE, and Cochrane library updated to May 15, 2016. Articles were qualified using the following combined keywords: “breast”, “mammary”, “tumor”, “cancer”, “neoplasm”, “E-cadherin”, “E-CAD”, “cadherin-1”, “prognostic”, and “survival”. References from eligible literature were scanned to minimize any deviation caused during the research process.

Inclusion criteria

Articles were required to meet the following inclusion criteria: (1) patients diagnosed with breast cancer using pathological and histological examinations; (2) E-cadherin expression was detected in primary tumor tissues; (3) full text, original research articles published in English; (4) statistical results that included hazard ratios (HRs) and 95% confidence intervals (CIs) reported directly or calculated from demographic data or survival curves; and (5) independent E-cadherin expression level data. Only studies with more details and larger sample sizes were selected if duplicate data from other articles occurred. Reviews, letters, conference abstracts, and comments were excluded.

Quality assessment

The Newcastle-Ottawa quality assessment scale (NOS) was applied to estimate the quality of nonrandomized studies, specifically cohort studies by two investigators independently. According to the NOS, three perspectives were assessed: selection, comparability, and outcomes. Scores higher than six were considered high quality.

Data extraction

Two researchers extracted the following data independently from qualified studies: (1) publication data including authors, year and country; (2) experimental data including tissue origin, location of E-cadherin expression, percentage of E-cadherin positive cells and cut-off values; (3) demographic data including number of subjects analyzed, ages, and follow-ups; (4) clinicopathological data including tumor size, lymph node status, ER, PR, HER-2, menopausal state, pathologic type, histologic type, and TNM stage; and (5) statistical data including survival analysis, HRs and 95% CIs. Inconsistencies were resolved through negotiation and consultation.

Statistical analysis

In this meta-analysis, HRs with 95% CIs was applied as appropriate values to measure the impact of reduced E-cadherin expression on survival in breast cancer. In some studies, the value of HR and the 95% CI describing OS and/or DFS could be obtained directly. Otherwise, many studies displaying survival rates with P values from log-rank tests or Kaplan–Meier survival curves could also be extrapolated using the method of Parmar and Tierney [51]. For the pooled analysis of the correlation between decreased E-cadherin expression and clinicopathological features, odds ratios (ORs) and their 95% CIs were evaluated. Heterogeneity of the studies was evaluated by the Chi-square-based Q test and I2. I2 < 50% and P > 0.05 were considered as acceptable heterogeneity, in which case the fixed-effect model test was performed. Otherwise, the random-effect model test was chosen if significant heterogeneity existed (I2 > 50% or P < 0.05). Subgroup analysis and meta-regression analysis were performed to detect the source of the heterogeneity. Publication bias was assessed using Begg's test and Egger's test. Sensitivity analysis was carried out to evaluate the stability of the pooled results using sequential omission of individual studies. Furthermore, if multivariate and univariate analyses were both obtainable, the former was chosen. All P values were two-sided and P < 0.05 was considered statistically significant. All statistical analyses were performed with Stata Version 12.0 (Stata Corporation, College Station, TX, USA).
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Authors:  Mohit Kumar Jolly; Kathryn E Ware; Shengnan Xu; Shivee Gilja; Samantha Shetler; Yanjun Yang; Xueyang Wang; R Garland Austin; Daniella Runyambo; Alexander J Hish; Suzanne Bartholf DeWitt; Jason T George; R Timothy Kreulen; Mary-Keara Boss; Alexander L Lazarides; David L Kerr; Drew G Gerber; Dharshan Sivaraj; Andrew J Armstrong; Mark W Dewhirst; William C Eward; Herbert Levine; Jason A Somarelli
Journal:  Mol Cancer Res       Date:  2019-03-12       Impact factor: 5.852

3.  Assessment of mismatch repair deficiency, CDX2, beta-catenin and E-cadherin expression in colon cancer: molecular characteristics and impact on prognosis and survival - an immunohistochemical study.

Authors:  Carmen Stanca Melincovici; Adina Bianca Boşca; Sergiu Şuşman; Ancuţa Cutaş; Mariana Mărginean; Aranka Ilea; Ioana Maria Moldovan; Elena Mihaela Jianu; Maria Adriana Neag; Adriana Elena Bulboacă; Carmen Mihaela Mihu
Journal:  Rom J Morphol Embryol       Date:  2020 Jul-Sep       Impact factor: 1.033

4.  A Wnt-mediated phenotype switch along the epithelial-mesenchymal axis defines resistance and invasion downstream of ionising radiation in oral squamous cell carcinoma.

Authors:  Fatemeh Zolghadr; Nigel Tse; Dikasya Loka; George Joun; Sreelakshmi Meppat; Victor Wan; Hans Zoellner; Munira Xaymardan; Camile S Farah; J Guy Lyons; Eric Hau; Ellis Patrick; Naisana Seyedasli
Journal:  Br J Cancer       Date:  2021-03-30       Impact factor: 9.075

5.  Reduced E-cadherin expression is correlated with poor prognosis in patients with bladder cancer: a systematic review and meta-analysis.

Authors:  Yongpeng Xie; Pin Li; Yu Gao; Liangyou Gu; Luyao Chen; Yang Fan; Fan Zhang; Xu Zhang
Journal:  Oncotarget       Date:  2017-08-04

6.  Regulation of E-cadherin localization by microtubule targeting agents: rapid promotion of cortical E-cadherin through p130Cas/Src inhibition by eribulin.

Authors:  Nicholas F Dybdal-Hargreaves; April L Risinger; Susan L Mooberry
Journal:  Oncotarget       Date:  2017-12-31

7.  Limited utility of tissue micro-arrays in detecting intra-tumoral heterogeneity in stem cell characteristics and tumor progression markers in breast cancer.

Authors:  Pascale Kündig; Charlotte Giesen; Hartland Jackson; Bernd Bodenmiller; Bärbel Papassotirolopus; Sandra Nicole Freiberger; Catharine Aquino; Lennart Opitz; Zsuzsanna Varga
Journal:  J Transl Med       Date:  2018-05-08       Impact factor: 5.531

8.  An updated meta-analysis of the prognostic value of decreased E-cadherin expression in ovarian cancer.

Authors:  LiLi Yu; Xiaoli Hua; Yu Yang; Ke Li; Qilin Zhang; Lixiu Yu
Journal:  Oncotarget       Date:  2017-09-14

Review 9.  E-cadherin deregulation in breast cancer.

Authors:  Giovanni Corso; Joana Figueiredo; Simone Pietro De Angelis; Federica Corso; Antonia Girardi; Joana Pereira; Raquel Seruca; Bernardo Bonanni; Patricia Carneiro; Gabriella Pravettoni; Elena Guerini Rocco; Paolo Veronesi; Giacomo Montagna; Virgilio Sacchini; Sara Gandini
Journal:  J Cell Mol Med       Date:  2020-04-16       Impact factor: 5.310

10.  Circulating TGF-β1 as the potential epithelial mesenchymal transition-biomarker for diagnosis of cholangiocarcinoma.

Authors:  Phongsaran Kimawaha; Apinya Jusakul; Prem Junsawang; Watcharin Loilome; Narong Khuntikeo; Anchalee Techasen
Journal:  J Gastrointest Oncol       Date:  2020-04
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