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MUC1 is associated with TFF2 methylation in gastric cancer

Abstract

Background

Emerging evidence has shown that MUC1 and TFF2 play crucial roles in the H. pylori-infected pathogenesis of gastric cancer (GC). A recent study revealed that H. pylori infection induced obviously increased Tff2 methylation levels in Muc1−/− mice compared with controls. However, little is known of the molecular mechanism on MUC1 regulating the expression of TFF2.

Methods

We conducted a correlation analysis of MUC1 and TFF2 in public databases and our adjacent GC tissues. Besides, MUC1 overexpression vector or small interfering RNA (siRNA) was transfected into GC cells to assess the change in TFF2 expression. Furthermore, the methylation status of TFF2 was measured by bisulfite sequencing PCR (BSP).

Results

The expression of MUC1 was significantly lower in non-cardia and cardia tumor tissues than that in normal tissues. Downregulation of TFF2 expression was also observed in GC tissues. In addition, we found that MUC1 expression was positively associated with TFF2 expression in GC tissues, especially among GC patients with H. pylori infection. Overexpression of MUC1 in BGC-823 and SGC-7901 cell lines substantially increased the TFF2 expression, whereas knockdown of MUC1 reverted this effect. Moreover, MUC1 was negatively related to the methylation of TFF2 in the co-expression analysis. The results of BSP experiments showed that compared with negative vector group, the methylation level of TFF2 was decreased in GC cells transfected with MUC1 overexpression vector. Additionally, survival analysis indicated that GC patients with lower level of MUC1 or TFF2 had a worse outcome.

Conclusion

Our results indicated that MUC1 was associated with the methylation of TFF2, which may have implications for TFF2 expression in GC. These findings warrant further research toward the underlying mechanism of MUC1 influenced the TFF2 methylation.

Background

Although the incidence and mortality rates of gastric cancer (GC) are decreased over the past few decades, GC is still a severe public health problem. Reportedly, GC is the third leading cause of cancer death with the highest incidence occurring in Eastern Asia [1, 2]. GC is a complex disease, arising from the interaction of environmental and genetic factors. It has been established that H. pylori infection is the most important risk factor for GC [3]. Accumulating evidence has shown that eradication of H. pylori infection was significantly associated with the reduced incidence of GC, highlighting the pathogenic role of H. pylori in GC [4, 5].

The tumorigenesis progression of GC is involved in multiple stages and develops from normal epithelia, chronic gastritis, atrophic gastritis, intestinal metaplasia, and dysplasia to carcinoma [6, 7]. The original progression of GC is gastric mucosa lesions. Thus, it is necessary to maintain the function of gastric mucosa, which prevents infection by the variety of microorganisms. Mucin glycoproteins are the key components of the mucosal barriers [8]. Mucin 1 (MUC1) is a kind of cell surface mucins and is abundant in mucosal tissues, especially in normal gastric epithelial cells [9]. It has been reported that MUC1 played a crucial role in H. pylori-associated gastritis through acting as a protective physical barrier against pathogens [8, 10]. Previous study has shown that colonization of H. pylori in MUC1-deficient (Muc1−/−) mice was remarkably higher than that in Muc1+/+ mice. Besides, MUC1 was also implicated in decreasing the inflammation induced by H. pylori [11]. In addition, it is noteworthy that previous genome-wide association studies (GWASs) have identified several risk loci located in MUC1 gene, which were significantly associated with the susceptibility of GC [12, 13].

Trefoil factor family 2 (TFF2), a member of secreted peptides, is also expressed in gastric mucosa and triggers cell migration signaling to promote epithelial repair [14, 15]. It has been documented that H. pylori infection contributes to methylation and silencing of TFF2, thus involving in GC development [16]. Garrett et al. demonstrated that MUC1 acted as a negative regulator of the NLRP3 inflammasome activation and protected against H. pylori pathogenesis. In addition, interleukin (IL)-1 promoted precancerous progression in Muc1−/− mice through regulating the methylation status and expression of Tff2 [17]. However, the molecular mechanism of MUC1 involved in the regulation of TFF2 is largely unexplored. Therefore, we hypothesized that the aberrant MUC1 regulates the methylation status of TFF2, thus contributes to silence of TFF2 in the carcinogenesis of GC. In the present study, we demonstrated that both MUC1 and TFF2 were downregulated in GC tissues. Overexpression of MUC1 was significantly associated with decreased the TFF2 methylation and increased the TFF2 expression.

Materials and methods

Samples and datasets

This study was approved by the international review board of Nanjing Medical University. A total of 59 GC patients were recruited from the Second Affiliated Hospital of Nanjing Medical University. We detected the expression of MUC1 and TFF2 in adjacent GC tissues and compared the difference of expression between H. pylori infected (n = 31) and non-infected (n = 28) GC patients. The RNA-seq data from The Cancer Genome Atlas (TCGA) database was acquired by the UCSC Xena project (http://xena.ucsc.edu/). In this study, we downloaded gene expression (n = 417, IlluminaHiSeq RNASeq platform) and DNA methylation (n = 398, Illumina Infinium HumanMethylation450 platform) profiles. Samples with both gene and methylation expression profiles were included in the further correlation analysis (n = 373). Besides, we analyzed gene expression array deposited in Gene Expression Omnibus (GEO, GSE29272), which has the global gene expression of 72 gastric non-cardia tumor and 62 gastric cardia tumor and their paired normal tissues [18]. We also applied a GEO dataset (GSE74577), which was conducted to investigate the gene expression changes in response to H. pylori infection [19]. Additionally, GSE99553 was used to compare methylation level of CpG sites between GC patients with H. pylori infection (n = 28) and non-infected patients (n = 28).

Cell culture and transfection

The full-length MUC1 cDNA was synthesized and constructed into the pEGFP-N1 vector. GC cell lines (BGC-823 and SGC-7901) were transfected with overexpression vector using Lipofectamine 2000 reagent (Invitrogen, Carlsbad, CA, USA). Vectors in this study were confirmed by DNA sequencing. Small interfering RNA (siRNA) was synthesized to inhibit MUC1 expression. The sequence of siRNA is the following: CGGGATACCTACCATCCTA.

Quantitative real-time PCR (qRT-PCR) analysis

Total RNA from BGC-823 and SGC-7901 cell lines was isolated by Trizol Reagent (Invitrogen, CA, USA), and cDNA was synthesized by Primescript RT Reagent Kit (TaKaRa, Osaka, Japan). The real-time PCR was conducted with ABI 7900HT Real-Time PCR System (Applied Biosystem, Foster City, CA, USA) using SYBR Green assays. GAPDH was treated as internal control to quantify the expression levels of TFF2 and MUC1 by 2-Δct method. The primer sequences are as follows: F: 5′-GCTGTTTCGACTCCAGTGTCA-3′ and R: 5′-CCACAGTTTCTTCGGTCTGAG-3′ for TFF2, F: 5′-CCTACCATCCTATGAGCGAGTAC-3′ and R: 5′-GCTGGGTTTGTGTAAGAGAGGC-3′ for MUC1, F: 5′-CCGGGAAACTGTGGCGTGATGG-3′ and R: 5′-AGGTGGAGGAGTGGGTGTCGCTGTT-3′ for GAPDH.

Bisulfite sequencing PCR (BSP)

DNA was isolated from BGC-823 and SGC-7901 cell lines by DNeasy Blood & Tissue Kit (QIAGEN, Hilden, Germany) according to the manufacturer’s protocols. We used EpiTect Fast DNA Bisulfite Kit (QIAGEN) to accomplish bisulfite conversion of genomic DNA. The primers for amplification are shown in Supplementary Table 1. Then, the PCR products were purified and cloned into pTG19-T Vector (Generay, Co., Ltd., Shanghai, China). Ten subclones from each cell line with two replicated experiments were chosen for sequence. Methylation level was calculated as the number of CpG methylated loci divided by the number of detected CpG loci.

Statistical analysis

Student’s t test or paired t test was used to compare the differences of gene expression or methylation level. Associations of gene expression and methylation level of CpG sites were assessed by Pearson’s correlation analysis. We applied an online tool, Kaplan-Meier Plotter, to calculate hazard ratios (HRs) and their correspondence 95% confidence interval (95% CI) [20]. The log-rank test was applied to assess the significant effect of gene expression level on survival of patients. We used multivariate cox regression analysis to assess the prognostic value of MUC1 and TFF2, with adjustment for age, sex, grade, and stage of GC patients. All statistical analyses were conducted by the R 3.5.1 software, and two-tailed P value < 0.05 was considered as statistically significant.

Results

Downregulation of MUC1 and TFF2 in GC

We assessed the expression level of MUC1 and TFF2 in gastric non-cardia and cardia tissues and their correspondence normal tissues from GEO database (GSE29272). As shown in Fig. 1, the expression of MUC1 in non-cardia tumor tissue was significantly lower than that in paired adjacent normal tissues (P = 9.87 × 10− 10; Fig. 1a). Additionally, compared with normal tissues, a similar downregulated expression of MUC1 was observed in the cardia tumor tissue (P = 3.51 × 10− 4; Fig. 1b). As with MUC1, TFF2 was significantly decreased in non-cardia and cardia tumor tissues compared with that in adjacent normal tissues (P = 4.00 × 10− 21 and P = 3.29 × 10− 14, respectively; Fig. 1c, d). Both MUC1 and TFF2 expression showed a slight decreased in cardia tissue compared with non-cardia tumor tissue, but there were no significantly differences (Supplementary Figure 1).

Fig. 1
figure1

Downregulation of MUC1 and TFF2 in GC tissues. The expression level of MUC1 was significantly lower in non-cardia (a) and cardia (b) tumor tissues than that in adjacent normal tissues. c, d Downregulation of TFF2 expression in non-cardia (c) and cardia (d) tumor tissues. All P values were from paired t tests

Additionally, we detected the expression of MUC1 and TFF2 in adjacent GC tissues from our cohort. Compared with non-infected patient, MUC1 and TFF2 expression were not statistically significant and showed a slightly decreased trend in H. pylori-infected patients (Supplementary Figure 2A-B). The results of GEO dataset (GSE74577) indicated that the expression of MUC1 but not TFF2 was significantly decreased in GES-1 cells after 24-h infection with H. pylori (P = 4.49 × 10− 4, P = 0.582, respectively; Supplementary Figure 2C-D). Besides, we found the methylation level of CpG sites (cg13804478, cg18804777, and cg24512973) located in MUC1 were significantly higher in H. pylori-infected patients than in non-infected patient (Supplementary Figure 3). For TFF2, there was one CpG site; cg26403416 was significantly increased in H. pylori-infected patients than in non-infected patients in both GSE99553 and TCGA datasets (data was not shown).

MUC1 positively regulates the expression of TFF2

In the present study, we conducted the co-expression between MUC1 and TFF2 in the GSE29272 database. The correlation analysis results showed that MUC1 expression was positively associated with TFF2 expression in GC tissues (r = 0.425, P = 3.20 × 10− 7; Fig. 2a). The similar positive relationship between MUC1 and TFF2 was found in the TCGA database (r = 0.449, P = 3.13 × 10− 20; Fig. 2b). In addition, we investigate the relationship between the expression of MUC1 and TFF2 in our cohort. The result demonstrated significantly positive correlation of MUC1 and TFF2 expression among GC patients with H. pylori infection but not for those without infection (total: r = 0.287, P = 0.028; H. pylori negative: r = 0.196, P = 0.318; H. pylori positive: r = 0.382, P = 0.034; Fig. 2c–e). Furthermore, the positive correlations between the expression of MUC1 and TFF2 were also observed in other clinical features, including different age, sex, stage, and grade of GC patients (Supplementary Table 2).

Fig. 2
figure2

Correlations between MUC1 and TFF2 expression level. a, b Correlation analysis between MUC1 and TFF2 expression in GSE29272 (a) and TCGA (b) databases and in our samples according to H. pylori infection status (c total samples; d GC patient without H. pylori infection; e GC patient with H. pylori infection). The r values and P values were from Pearson’s correlation analysis

We next assessed whether MUC1 positively regulated the TFF2 expression in two GC cell lines (BGC-823 and SGC-7901). The TFF2 expression level was measured by qRT-PCR after GC cell lines transfected with MUC1 overexpression vector or siRNA. The results showed that overexpression of MUC1 in BGC-823 and SGC-7901 cell lines substantially increased the TFF2 expression, whereas inhibition of MUC1 reverted this effect (Fig. 3).

Fig. 3
figure3

Effect of MUC1 overexpression or inhibition on the TFF2 expression. a BGC-823 and SGC-7901 cell lines were treated with non-transfection, transfected with empty vector or overexpression vector of MUC1. b BGC-823 and SGC-7901 cell lines were treated with non-transfection, transfected with negative control siRNA (siRNA NC) and siRNA MUC1. *P < 0.05, compared with non-transfected cells by Student’s t test

Overexpression of MUC1 promotes hypomethylation of TFF2

We investigated whether the methylation levels of MUC1 was associated with the dysregulation of MUC1. The results indicated that seven CpG sites were negatively associated with the MUC1 expression (Supplementary Table 3). Given that high MUC1 expression is correlated with increased the TFF2 level, we then evaluated the associations of methylation level of TFF2 and MUC1 expression. The detail description of CpG sites located in TFF2 gene is summarized in Supplementary Figure 4. As presented in Table 1 and Fig. 4, significant associations between MUC1 expression and methylation levels of cg14721139, cg11158374, cg12456510, cg26403416, cg18879389, and cg09410308 were identified in GC tumor sample (all P < 0.05). Furthermore, we found that the expression level of TFF2 was negatively related to the methylation status of these six CpG sites (all P < 0.05; Supplementary Figure 5). Subsequently, we conducted the correlation analysis of these six CpG sites themselves, and the results showed that the methylation level of these six CpG between each other were all prominently positive correlated (Supplementary Figure 6).

Table 1 Correlation analysis of methylation levels of TFF2 with MUC1 expression in gastric tumor tissues
Fig. 4
figure4

Correlations between MUC1 expression and methylation level of CpG loci located in TFF2

To better understand of the regulatory mechanism, BSP was performed to compare the methylation level in GC cell lines transfected with negative vector or MUC1 overexpression vector. In line with the correlation analysis, BSP results revealed that overexpression of MUC1 contributed to a remarkable decrease in methylation of CpG site located in TFF2 in BGC-823 cells (P = 0.041), and similar reduce trend was observed in SCG-7901 cell line (P = 0.078) (Table 2).

Table 2 Difference of TFF2 methylation level between control and MUC1 overexpression group

We also detected the effect of MUC1 on expression of DNA methylation transferases (DNMTs), including DNMT1, DNMT3a, and DNMT3b. The results indicated that both overexpression and inhibition of MUC1 leaded to a slight increase trend of DNMTs, especial DNMT3a (Supplementary Figure 7). These results suggested that MUC1 was not associated with DNMTs expression.

Downregulation of MUC1 and TFF2 are associated with poor outcome of GC

We further investigated the prognosis effect of MUC1 and TFF2 on survival of GC patients by utilizing an online tool, Kaplan-Meier Plotter, which integrated gene expression data and survival information of GC patients. Prominent associations of MUC1 and TFF2 with outcomes of GC patients were obtained. The Kaplan-Meier plot showed that GC patients with high expression of MUC1 had better outcome, with HR of 0.82 (95% CI, 0.69–0.97) comparing those with low level of MUC1 (log-rank P = 0.018; Fig. 5a). In addition, higher TFF2 expression was also obviously related to lengthen overall survival of GC patients (HR = 0.79, log-rank P = 0.009; Fig. 5b).

Fig. 5
figure5

Kaplan-Meier curve of overall survival in GC patients according to MUC1 and TFF2 expression by Kaplan Meier plotter

Furthermore, we divided GC patients into four groups according to the median of MUC1 and TFF2 expression by using TCGA database, including MUC1 low+TFF2 low, MUC1 low+TFF2 high, MUC1 high+TFF2 low, and MUC1 high+TFF2 high. Kaplan-Meier curve showed no significant difference of overall survival between four groups (Supplementary Figure 8). The result of multivariate cox regression analysis is summarized in Supplementary Table 4. After adjustment for age, sex, grade, and TNM stage, the MUC1 and TFF2 expression were not related to survival of GC patients.

Discussion

There has been wide consensus that both mucins and TFF peptides play crucial roles in protecting mucosal epithelial cells from a variety of insults [21, 22]. In the present study, we demonstrated that the expression of MUC1 and TFF2 were significantly lower in GC tissues than that in adjacent normal tissues. MUC1 positively regulated the expression of TFF2 through correlation and experimental analysis. In addition, we observed that the methylation status of TFF2 was prominent related to the MUC1 expression. Furthermore, consistent with co-expression analysis findings, negative regulation of MUC1 on methylation level of TFF2 was also revealed in our BSP experiment, suggesting the role of MUC1 in mediating TFF2 expression by decreasing the methylation level of TFF2.

Epidemiology studies have demonstrated that about 50% of human infects H. pylori over the world and severe gastric disease occurs in 10–15% of infected carriers [23, 24]. Host factors play a key role in determining the susceptibility of H. pylori-infected carriers developed into GC. Mounting evidence shows that cell surface mucins protect gastric epithelial cell by their defense against H. pylori infection [25]. There are multiple members of mucins expressed in a variety of mucosal tissues. Among them, MUC1 is the most widely investigated mucin and is identified to be abundantly expressed in all mucosal tissues [25]. Many studies have reported that the extracellular domain of MUC1 is hypervariable and contains a variety of tandemly repeated 20-amino acid unites, which is well known to be associated with the increased risk of GC [26,27,28]. Previous GWASs have suggested significant associations between the MUC1 risk loci and susceptibility of GC [12, 13]. SNP rs4072037 was reported to be pathogenic in GC for it altered the alternative splicing and transcriptional regulation of MUC1 [29, 30]. Indeed, our results confirmed that MUC1 was significantly lower in whether cardia or non-cardia tumor tissues than that in adjacent normal tissues. All findings described above highlight the key role of MUC1 in the carcinogenesis of GC.

Epigenetic aberrations also play a key role in the pathogenesis of GC. It is generally agreed upon that H. pylori infection induced extensive DNA methylation alterations in gastric epithelial cells [31]. Numerous studies have shown that dysregulated promoter methylation contributed to silencing of tumor suppressor genes [32, 33]. A recent study revealed that H. pylori infection increased methylation level and decreased expression of TFF2, thus implicating in the development of GC [16]. TFF is a member of secreted protein family, which is composed by TFF1, TFF2, and TFF3, and characterized by the trefoil domain [34]. A lot of published studies revealed that the TFFs are involved in multiple biological processes, including barrier protection, cell proliferation, and apoptosis [35,36,37]. TFF1 is a well-known gastric-related tumor suppressor gene, whereas the function of TFF2 in GC is relatively less investigated. Accumulating data has shown that TFF2 expression is frequently silenced in GC. In this study, we also found an obvious lower expression level of TFF2 in GC tissues than that in adjacent normal tissue. Besides, previous experiments indicated that Tff2−/− mice promoted the progression of gastritis to dysplasia after H. pylori infection [38]. Another study revealed that TFF2 reduced proliferation of pancreatic ductal adenocarcinoma [39]. Additionally, the tumor suppressor effect of TFF2 was also found in prostate and breast cancer [40, 41].

There has been wide consensus that epithelial cells synthesize and secrete TFF peptides together with mucins [42]. Intriguingly, Muc1−/− mice infected with H. pylori obtained the similar phenotypes that appeared in Tff2−/− mice. Furthermore, comparing with the infected controls, the infected Muc1−/− mice prominently increased methylation level of TFF2 [17]. Nevertheless, limited study is available to reveal the regulation mechanism between MUC1 and TFF2. Our results showed that significantly positive associations between MUC1 and TFF2 were observed in tumor tissues and GC cell lines. Yamaguchi et al. found that TFF2 was downregulated by promoting methylation of its promoter in pancreatic ductal adenocarcinoma, which was also identified in H. pylori-related GC [16, 39]. Considering that aberrant methylation of TFF2 were involved in the carcinogenesis of tumor, we carried out co-expression analysis between MUC1 and methylation of CpG loci located in TFF2. The results showed that the expression level of MUC1 was reversely related to the methylation status of TFF2. It has been established that epigenetic dysregulation in promoter of genes plays an important role in the development of GC [43, 44]. Intriguingly, majority of these significant CpG loci are located in the promoter region of TFF2. Bioinformatic analysis indicated that transcription factors MAX, TCF12, and EZH2 may bind with the promoter of TFF2 (https://www.genecards.org/). Consistent with findings in the earlier study, negative associations between TFF2 methylation and the expression of TFF2 were also detected in our correlation analysis. Moreover, BSP experiments further confirmed that overexpression of MUC1 decreased the TFF2 methylation. These results suggested the negatively regulate effect of MUC1 on methylation level of TFF2, contributing to decrease TFF2 levels. Given the important role of MUC1 and TFF2 in the development of GC, we have also investigated their prognosis effect. Our results indicated that GC patients with low level of MUC1 or TFF2 had poorer outcome, indicating that MUC1 and TFF2 may act as prognostic biomarkers in GC.

Some limitations are worthy of attention in the present study. Firstly, because numerous studies have supported the role of mucins and TFF peptide in the H. pylori-related pathologies, we investigated the regulation mechanism of MUC1 implicated in the expression of TFF2 without consideration of the H. pylori infection. In addition, we assessed co-expression between the MUC1 and TFF2 in public databases and our samples. Although the P value for correlation analysis was statistically significant, the coefficient (r) between MUC1 and TFF2 expression was relatively small. Moreover, this study found that MUC1 could regulate the DNMTs expression slightly, suggesting MUC1 was not associated with the expression of DNMTs. The underlying mechanism of MUC1 influenced the methylation status of TFF2 need to be further explored. Besides, whether MUC1 and TFF2 could act as the independent prognostic factors for GC remains to be investigated. The clinical studies of multicenter and larger samples are needed to validate our findings.

In conclusion, by using integrative analysis of the expression profiles and molecular experiments, we revealed that MUC1 was negatively associated with the methylation of TFF2 and positively regulated TFF2 expression in GC. These findings provided new light on the strong link between MUC1 and TFF2 regulation. Further studies are warrant to explore the underlying epigenetic mechanism of this relationship in the pathogenesis of GC.

Availability of data and materials

The Cancer Genome Atlas (TCGA) database was available by the UCSC Xena project (http://xena.ucsc.edu/). The Gene Expression Omnibus (GEO) was publicly available online at https://www.ncbi.nlm.nih.gov/geo/, and the accession numbers are GSE29272, GSE74577, and GSE99553.

Abbreviations

95% CI:

95% confidence interval

BSP:

Bisulfite sequencing PCR

DNMTs:

DNA methylation transferases

GC:

Gastric cancer

GEO:

Gene Expression Omnibus

GWASs:

Genome-wide association studies

HR:

Hazard ratio

MUC1 :

Mucin 1

NC:

Negative control

qRT-PCR:

Quantitative real-time PCR

siRNA:

Small interfering RNA

TCGA:

The Cancer Genome Atlas

TFF2 :

Trefoil factor family 2

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Acknowledgements

Not applicable.

Funding

This study was partly supported by the National Natural Science Foundation of China (81230068, 81773539, 81773538, 81903390), the National Key R&D Program of China (grants 2018YFC1313100, 2018YFC1313102), Collaborative Innovation Center for Cancer Personalized Medicine, and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (Public Health and Preventive Medicine).

Author information

YG, GM, and HL carried out the most statistical analysis, functional experiments, and drafted the manuscript. YL and HL participated in the extracted RNA and BSP experiment. MD and GZ collected the data and conducted the co-expression analysis. MW contributed in revising the manuscript. ZZ, HZ, and HC participated in design, coordination, and review of the manuscript. All authors read and approved the final manuscript.

Correspondence to Haiyan Chu or Haiyan Zhang or Zhengdong Zhang.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the international review board of Nanjing Medical University.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Table S1. The primers for amplification in BSP experiments.

Additional file 2: Table S2. Subgroup analysis of the correlation of MUC1 and TFF2 expression in TCGA database.

Additional file 3: Table S3. Correlation analysis of MUC1 methylation levels with MUC1 expression in GC tissues.

Additional file 4: Table S4. Multivariate cox regression analysis for survival of GC patients in TCGA database.

Additional file 5: Figure S1. The expression of MUC1 (A) and TFF2 (B) in non-cardia and cardia tissue from GSE29272.

Additional file 6: Figure S2.H. pylori infection and the expression of MUC1 and TFF2. (A-B) The MUC1 and TFF2 expression in adjacent GC tissues with or without H. pylori infection from our cohort. (C-D) The expression change of MUC1 and TFF2 in GES-1 cells after 24 h-infection with H. pylori (GSE74577).

Additional file 7: Figure S3. The difference of methylation levels of CpG sites located in MUC1 in GC patients with or without H. pylori infection (GSE99553 and TCGA). *P < 0.05; ** P < 0.01; *** P < 0.001.

Additional file 8: Figure S4. A schematic representation of the 9 CpG sites located in TFF2 gene.

Additional file 9: Figure S5. Correlations between TFF2 expression and methylation level of CpG loci located in TFF2.

Additional file 10: Figure S6. The Correlation analysis of the significant CpG sites located in TFF2. The values showed the Pearson’s correlation coefficient and corresponding 95% confidence interval.

Additional file 11: Figure S7. The normalized mRNA expression of DNMT1, DNMT3a and DNMT3b in BGC-823 and SGC-7901 cell line with MUC1 overexpression (A) or inhibition (B).

Additional file 12: Figure S8. Kaplan Meier curve for overall survival of GC patients in four groups: MUC1 low+TFF2 low; MUC1 low+TFF2 high; MUC1 high+TFF2 low; MUC1 high+TFF2 high from TCGA database.

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Ge, Y., Ma, G., Liu, H. et al. MUC1 is associated with TFF2 methylation in gastric cancer. Clin Epigenet 12, 37 (2020). https://doi.org/10.1186/s13148-020-00832-6

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Keywords

  • MUC1
  • TFF2
  • Methylation
  • Gastric cancer
  • Molecular epidemiology