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CDH1 somatic alterations in Mexican patients with diffuse and mixed sporadic gastric cancer

Abstract

Background

Diffuse gastric cancer (DGC) is associated with the reduction or absence of the expression of the cell adhesion protein E-cadherin (encoded by the CDH1 gene). Molecular characteristics are less well described for mixed gastric cancer (MGC). The main somatic alterations that have been described in the CDH1 gene are mutations, loss of heterozygosity (LOH) and promoter methylation. The aim was to analyze CDH1 somatic alterations in Mexican patients with diffuse and mixed gastric cancer.

Methods

We searched for mutations in the CDH1 gene in tumor DNA from DGC (n = 13) and MGC (n = 7) patients by next generation sequencing (NGS). Validation of findings was performed using Sanger sequencing. LOH was analyzed using dinucleotide repeat markers surrounding the CDH1 gene, and methylation was investigated by DNA bisulfite conversion and sequencing. E-cadherin protein deficiency was analyzed by immunohistochemistry.

Results

Seventeen point variants were identified by NGS, 13 of them were validated by Sanger sequencing. Only 1/13 had not been previously reported (c.-137C > A), and 12/13 were already reported as polymorphisms. Two DGC cases presented LOH at the locus 16q22.1 (13.3%). CDH1 promoter methylation was positive in (7/11) 63.6% and (4/6) 66.6% of the cases with DGC and MGC, respectively. E-cadherin protein deficiency was observed in 58.3% of DGC cases while 100% in MGC cases.

Conclusions

While no pathogenic somatic mutations were found that could explain the diffuse histology of gastric cancer in DGC and MGC, methylation was the most common somatic inactivation event of the CDH1 gene, and LOH was rare. The previously unreported c.-137C > A variant modify the CDH1 gene expression since it alters the binding sites for transcription factors.

Peer Review reports

Background

Gastric cancer (GC) represents the fifth most frequent cancer type worldwide, with developing countries accounting for 70% of the cases. In terms of mortality, GC ranks third after lung and liver cancers [1]. The GC mortality represents 8.0% of total cancer deaths, with a rate of 5.5/100,000 inhabitants [1]. Despite a worldwide reduction in the prevalence of GC in recent years, this is not the case in Mexico where it remained constant. Several risk factors are implicated in the development of GC and the main biological-infectious factor is the bacteria Helicobacter pylori [2].

Histologically, GC can be divided into diffuse (DGC), intestinal and mixed (MGC) or indeterminate according the Lauren classification [3]. It has been observed that clinicopathological features and survival rates are related to the genetic/epigenetic alterations present in the tumors [4]. Genetically, DGC has been mainly associated with changes in the CDH1 gene, which encodes the E-cadherin protein [5]. E-cadherin is a cell-cell adhesion protein crucial for maintaining the structure and function of epithelial tissues [6]. In GC, a reduced or null E-cadherin expression has been correlated with infiltrative capacity and metastasis; in this type of cancer, the most commonly reported anomalies in E-cadherin are germline and somatic mutations, and somatic loss of heterozygosity (LOH) and promoter methylation [6].

A recent study describing CDH1 somatic alterations in GC reported a mutation frequency of 4.5%, LOH frequency of 4.5% and methylation frequency of 25.4% in diffuse and mixed gastric tumors [4]. Of notice is the fact that structural alterations (mutations and LOH) were associated with worse prognosis [4]. Due to the important role of CDH1 alterations in gastric cancer, the aim of this study was to analyze CDH1 somatic alterations (mutations, LOH and methylation) in Mexican patients with DGC and MGC.

Methods

Patients and samples

A total of 20 samples of fresh gastric biopsies with a histologic diagnosis of diffuse (n = 13) or mixed (n = 7) gastric cancer were included in the study. Samples were collected in the gastroenterology departments of four hospitals of the Mexican Institute of Social Security in Guadalajara, Mexico, during endoscopy for suspected malignant lesion. The samples were preserved in RNA later and frozen at − 20 °C, while the diagnosis for diffuse or mixed gastric cancer were confirmed by a pathologist; only the cases with diagnosis confirmed were included in the study. Tumor DNA was extracted with the Invisorb® Spin Tissue Mini Kit (StratecBiomedical) from tissue sections obtained by cryostat. When was possible, we analyzed constitutive DNA, which was extracted from peripheral blood leukocytes by the salting out method; this sample represents the normal DNA constitution present in all the somatic cells of the patient.

Helicobacter pylori detection

Helicobacter pylori infection was determined in the tumor DNA by PCR through the Helicobacter pylori 520 kit (Sacace Biotechnologies©).

CDH1 mutation analysis

Somatic mutations were searched in the promoter region (865 bp) and the 16 exons of the CDH1 gene, including splice sites and adjacent intronic regions. The sequencing reaction was performed through next generation sequencing (NGS) with the Roche 454/GS Junior platform (details in the Additional file 1). The reads were aligned to the reference sequence GRCh38-Chr16 using the BWA-MEM algorithm [7]. All the variants considered were represented in more than 50 reads and had a value > 100 on the Phred quality score.

The variants were corroborated through capillary sequencing with the Abi Prism 310 Genomic Sequencer, using the BigDye™ Terminator v3.1 Cycle Sequencing Kit (Thermo Fisher Scientific Inc.©). Bioinformatics analysis used to characterize the identified variants included three tools: PROMO v.3.0.2 [8, 9], Human Splicing Finder v.3.0 (HSF) [10] and Translate ExPASy [11].

CDH1 loss of heterozygosity analysis

To detect allelic loss at the CDH1 gene (locus 16q22.1) three microsatellite markers were used: D16S3025 at the 5′ end of the CDH1 locus, and D16S496 and D16S3067 at the 3′ end of the CDH1 locus [12]. Microsatellites were identified in those patients with both tumor and constitutive DNA samples (15 subjects) in a multiplex fluorescent PCR with primers previously described [4]. Fifty ng of DNA were used as template, and GeneScan™ 120 LIZ™ (Applied Biosystems™) was employed as size standard. The fragments were separated using the ABI PRISM® 310 Genetic Analyzer and the results were analyzed with Peak Scanner™ Software v1.0 (Applied Biosystems™). The LOH was calculated with the following formula: LOH index = (N1/N2)/(T1/T2), corresponding to peak areas of N1 = constitutive DNA allele 1; N2 = constitutive DNA allele 2; T1 = tumor DNA allele 1; and T2 = tumor DNA allele 2. LOH was considered when the LOH index was more than or less than 1.04 ± 0.13 for D16S3025, 1.0 ± 0.67 for D16S496, and 1.06 ± 0.11 for D16S3067 [4]. LOH-positive results were confirmed by repeated testing.

CDH1 promoter methylation analysis

For the methylation analysis, 300 ng of tumor DNA were converted using the EpiTect Bisulfite Kit (Qiagen®), the analysis was performed in those samples with sufficient amount of tumor DNA (n = 17). DNA of SNU-1 cell line, which is constitutively methylated for the CDH1 gene, was used as a positive methylation control. A 173-bp fragment in the promoter region of the CDH1 gene, including 12 CpG sites, was amplified by PCR with specific primers for the converted DNA [12]. The PCR product was sequenced in the ABI 3130 Automated Capillary DNA sequencer (Applied Biosystems™). CDH1 methylation in the gastric tumors was considered when at least 25% of the CpG sites analyzed showed methylation or hemi-methylation [12].

E-cadherin expression

Immunohistochemistry was achieved in 16/20 cases (12 DGC and 4 MGC), frozen tissue sections of 5 μm were used for analysis with Liquid Mouse Monoclonal Antibody E-Cadherin (NCL-L-E-Cad, Leica™) according to supplier instructions. Tumor membranous staining for E-cadherin protein was scored using the following scale: 1+, low weak staining on the membrane; 2+, low to moderate staining on the membrane; 3+, moderate to strong staining on the membrane; and 4+ strong staining. Criteria defining E-cadherin deficiency were the scores 1+ or 2+; scores 3+ or 4+ were considered as normal expression.

Compliance with ethical standards

The authors declare that they have no conflict of interest. Research involving human participants: all procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: written informed consent was obtained from all participants included in the study. This research was approved by the ethics committee of the Instituto Mexicano del Seguro Social.

Results

Characteristics of the samples analyzed

The sex ratio in all the patients with GC was 2.2:1 (male:female). When the cases were separated by histotype the ratio was 1.6:1 for DGC and 2.5:1 for MGC. Regarding age, the overall average was 62.2 years, while by histotypes the average was 60.8 and 71.2 years in DGC and MGC, respectively. Predominant blood types were A+ in the DGC group (4/11, 36.4%) and O+ in the MGC group (4/7, 57.1%). A family history of cancer, considered when at least one first-degree relative has been diagnosed with any type of cancer, was positive in the 57.1% of the MGC cases, while was only found at 15.4% in the DGC cases. Helicobacter pylori infection was detected in 58.3% [7/12] and 50% [3/6] of the diffuse and mixed gastric cancer cases, respectively (full information of each patient can be found in Additional file 2).

CDH1 somatic variants observed through NGS

A total of 17 variants were identified by NGS. Four of them were not previously described: c.-137C > A (located in the promoter region), c.1138-92delA, c.1138-75insA (intron 8) and c.1221insC (exon 9). The other 13 variants are known polymorphisms (Table 1). The variants were distributed throughout the gene, within the promoter (23.5%), introns (47.1%), exons (23.5%), and the 3’-UTR region (5.9%) (Fig. 1).

Table 1 Mutations and polymorphisms identified in the gastric cancer samples in the CDH1 gene
Fig. 1
figure 1

Type and localization of the variants found in the CDH1 gene by next generation sequencing. The new variants are shown in bold; + Synonymous variants. P: promoter. Pr: precursor. TM: transmembrane region

CDH1 new variants

From the four new variants, only c.-137C > A was validated through Sanger sequencing in the tumor and constitutive DNA in heterozygous state (Fig. 2); the PROMO software predicted that this transversion creates novel binding sites for transcription factors (NFI/CTF and C/EBPbeta). To investigate if the c.-137C > A variant is a polymorphism in the healthy Mexican population, we analyzed 98 genomic DNA samples from blood donors, and all samples were negative for the variant. This shows that the c.-137C > A variant is absent in our population. The variants c.1138-92delA, c.1138-75insA (intron 8) and c.1221insC (exon 9) were not validated by Sanger sequencing method because the results did not reveal their presence both in genomic and tumor DNA, in other words, sequences were normal (wild alleles).

Fig. 2
figure 2

Sanger sequencing of the c.-137C > A variant. a) and b) show the results in the tumor DNA, confirmed in the constitutive DNA (c and d images). The mutation site is indicated (arrows)

CDH1 known variants

All known variants found by NGS were validated by Sanger sequencing, except the c.388-44G > A. According their ClinVar report and the Variant Effect Predictor (VEP) tool, the variant c.-285C > A was classified as “other/modifier” respectively, four variants (c.48 + 6C > T, c.1680G > A, c.2076C > T, and c.2253C > A) were reported as “benign/low”, four variants (c.531 + 10G > C, c.1937-13 T > C, c.2164 + 17dupA, and c.*54C > A) as “benign/modifier”, and three variants (c.-197A > C, c.-176C > T, c.2439 + 52G > A) only had VEP information available and were predicted to have a “modifier” effect.

In silico analysis was performed for the variants (c.-197A > C, c.-176C > T, c.2164 + 17dupA, and c.2439 + 52G > A). The results showed that the variants c.-197A > C (rs28372783) and c.-176C > T (rs34500817) modify the binding sites for some transcription factors; specifically, the c.-197C allele was found to create two additional transcription factor (ER-alpha and C-jun) binding sites and to delete four (VDR, FOXP3, RAR-beta, PXR-1; with the c.-176 T allele, a new binding site for the transcription factor YY1 is created. Regarding the variants c.2164 + 17dupA and c.2439 + 52G > A, found in introns 13 and 15 respectively, the HSF tool shows that both c.2164 + 15A and c.2439 + 52A alleles alters the exonic splicing silencer (ESS) site and an exonic splicing enhancer (ESE) site is created.

CDH1 loss of heterozygosity

The LOH analysis was carried out for 15/20 patients, for whom tumor and constitutive DNA were available. All the samples had at least two informative markers. Two DGC cases (13.3%) showed LOH: the 7D sample presented LOH at the D16S496 and D16S3067 markers, located at the 3′ end of the CDH1 locus, whereas the 8D sample showed LOH only for the microsatellite D16S3067 (Fig. 3) (Full microsatellites genotypes can be consulted in the Additional file 3).

Fig. 3
figure 3

Representative image of the microsatellite markers used for the loss of heterozygosity analysis. The two LOH positive cases are shown. The formula employed was: LOH index = (N1/N2)/(T1/T2), corresponding to peak areas of N1 = constitutive DNA allele 1; N2 = constitutive DNA allele 2; T1 = tumor DNA allele 1; and T2 = tumor DNA allele 2 [4]. The distance of each marker from the CDH1 locus is approximate

CDH1 methylation

In 17/20 GC samples (DGC n = 11 and MGC n = 6), the methylation pattern in the CDH1 gene promoter was analyzed. The results showed 11/17 cases that were positive for methylation (64.7%), seven of which were DGC (63.3% in DGC cases) and four of which MGC (66.7% in MGC cases) (Fig. 4). From the patients with CDH1 methylation, 63.6% were also positive for H. pylori; nevertheless, this association was not significant (p > 0.05).

Fig. 4
figure 4

Methylation analysis results. a) Representation of the promoter region analyzed for methylation. Filled circles represent the methylated CpG sites and clear circles symbolize non-methylated sites. Each line represents one individual (ID shown). b) Sequencing results for the methylation analysis. The CpG sites are numbered

E-cadherin expression

Immunohistochemistry results revealed E-cadherin protein deficiency, low (+) to moderate (++) weak, in 58.3% (7/12) of DGC cases while 100% (4/4) in MGC cases.

The relation of CDH1 methylation and low expression of E-cadherin was also analyzed, we observed that 85.7% (6/7) of CDH1 methylated DGC cases had deficiency of E-cadherin (IHQ + or ++), whereas for the methylated MGC cases, all of them (100% 3/3) had E-cadherin deficiency.

Discussion

CDH1 is the main affected gene in DGC, both at the somatic and germline levels. In this study, the somatic genetic and epigenetic alterations in CDH1 were characterized in Mexican patients with DGC and MGC.

CDH1 somatic variants

CDH1 mutations have been reported with frequencies ranging from 4.5 to 50% in diffuse tumors [4, 5]. In our study, a total of 13 validated variants (including polymorphisms) in the CDH1 gene were observed; however, we have not evidence to consider any of them as pathogenic.

The c.-137C > A variant found was previously reported for the Human Longevity Project (rs1046078040) [13] but frequency and functionality data is lacking. In silico analysis suggested that this variant can affect the expression of E-cadherin protein, because two new binding sites for the transcription factors NFI/CTF and C/EBPbeta are created, as well the binding site for the transcription factor AhR: Arnt destroyed. Immunohistochemistry confirm the low expression of E-cadherin in the carrier of the c.-137C > A variant. Dysregulation in the expression of the CDH1 gene can be explained by the modification of the binding sites for transcription factors, the NFI transcription factor play an important role during normal development, it functions by regulating cell proliferation and differentiation via the transcriptional control of their target genes, also it has been implicated in cancer, evidences suggests a converging role in development and cancer, with both oncogenic and tumor suppressor potential, depending on the carcinoma type and its tissue origin (Chen et al., 2017 [14]). On the other hand, C/EBPbeta activates transcription of genes with a specific role in the nervous system, cytokines and transporter proteins that confer multidrug resistance as ABCC2 and ABCB1. C/EPBbeta is overexpressed in gastric tumors, with notable differences between histotypes, MGC (50%), IGC (46.2%) and DGC (4.4%) [15]). Regarding to the AhR, it have a role in TCDD toxicity, but also is involved in tumorigenesis and is found at elevated levels in aggressive tumors and tumor cell lines [16], however with the variant the binding site for this transcription factor is destroyed.

Regarding the variants c.1138-92delA, c.1138-75insA, and c.1221insC detected by NGS but not confirmed by capillary sequencing, it is important to highlight the need to confirm NGS findings as false positives can occur, particularly in repeated mononucleotides regions [17]; another possibility is that, due to NGS higher sensitivity, such variants could be detected even if is present in a minority of DNA molecules within the tumor. Regarding the c.1221insC variant, interestingly, a mutation affecting neighbor nucleotides, c.1220delC (p.P407Qfs10), was reported in three members of a Spanish family with hereditary DGC [18]; both, the c.1221insC variant and the c.1220delC mutation are predicted to result in a premature stop codon, which would lead to mRNA degradation and therefore to reduced E-cadherin expression and carcinogenesis, however c.1221insC was not confirmed through Sanger sequencing method.

Regarding known variants c.-197A > C, c.-176C > T, c.2164 + 17dupA, and c.2439 + 52G > A, in silico analysis showed that those located within the promoter can lead to changes in the binding site of some transcription factors. Recently was reported that the variant c.-197A > C (also denominated -73A > C) may lead to allele-specific repressions of CDH1 gene, the allele C was related to lesser methylation, higher transcription levels and longer survival [19], in our study observed three carriers for this allele, only one of them had normal expression of E-cadherin protein and CDH1 no methylated. For the c.-176C > T variant, no information published about their impact or functionality on CDH1 gene expression. The variants c.2164 + 17dupA and c.2439 + 52G > A, alters exonic splicing sites (ESS and ESE), the c.2164 + 17dupA is a common non-coding variant observed in 13/20 patients in our study, it is considered as benign by ClinVar, also, it was found in patients with breast cancer but was considered as no pathogenic [20]). On the other hand, the c.2439 + 52G > A variant was observed in our study only in one patient, the clinical significance information is not yet reported in ClinVar, so in both cases the functional role need be clarified in future research.

For the known variants c.-285C > A (rs16260), c.48 + 6C > T (rs3743674), c.531 + 10G > C (rs33963999), c.1680G > A (rs35741240), c.1937-13 T > C (rs2276330), c.2076C > T (rs1801552), c.2164 + 17dupA (rs35686369), c.2253C > A (rs33964119), and c.54C > A (rs1801026), ClinVar considers them all as variants with clinical significance “benign” except for c.-285C > A that consider it as “risk factor” for prostate cancer. On the other hand, the Variant Effect Predictor tool predicts a “low” impact for the variants c.48 + 6C > T, c.1680G > A, c.2076C > T, and c.2253C > A, while the variants c.-285C > A, c.531 + 10G > C, c.1937-13 T > C, and c.54C > A are considered with an impact “modifier”. Additionally, some of these variants (rs35741240, rs1801552, rs33964119) are located in exonic regions but they are synonymous variants; others are located in introns or in non-translated regions (rs3743674, rs33963999, rs2276330, rs1801026) but to date no effect on the transcription process has been reported.

An important aspect to consider is that, with the exception of variant -285C > A (or -160C > A) [21], no other variants have been described for the Mexican population. It would be important to investigate the frequencies of the variants described in this population (Additional file 4).

CDH1 loss of heterozygosity

LOH on specific chromosomal regions is related to the inactivation of tumor suppressor genes. In fact, focal genomic deletions in tumor suppressor genes such as PTEN, SMAD4, PARK2, RB1, CDKN2A, and ARID1A have been reported in GC [22,23,24]. Importantly, allelic loss in the 16q22.1 locus is a genetic mechanism implicated in the inactivation of the CDH1 gene; up to 91% of the GC cases with LOH in that locus present a reduced expression of E-cadherin [25]. In our study, the frequency of LOH in 16q22.1 was 13.3%, corresponding to two DGC cases, which is in accordance with ranges reported between 4.5 and 39% [4, 25, 26]. In both patients, we assume that the LOH found does not correspond to intragenic deletions as it involves only the 3′ of the gene’s locus. This is corroborated by the fact that some of the variants identified by NGS, for these patients, were observed in heterozygote status (Additional file 2). Additionally, both samples were also analyzed by Multiplex Ligation-dependent Probe Amplification (MLPA) in the tumor DNA (probe SALSA P083-C2 CDH1, MRC Holland) and no major CDH1 deletions were found.

CDH1 methylation

Methylation of the CDH1 promoter is the most common epigenetic modification associated with the loss of heterozygosity in DGC cases. It also has been reported that 82% of cases with methylation have reduced expression of E-cadherin [25]. The frequency of CDH1 methylation in GC patients has been reported in 25.4 to 76% in Asian and Caucasian populations [4, 25, 27]. In this study, we observed a frequency of 64.7% (n = 11 cases) and non-significant differences were observed regarding the gastric cancer histotype. Further, H. pylori infection has been strongly associated with DNA methylation, specifically with the CDH1 gene [28]; in our study, DGC cases positives for H pylori infection, 57.1% of them had CDH1 promoter methylation and E-cadherin deficiency, and of the MGC cases positives for H pylori, 66.6% had both methylation and E-cadherin deficiency.

Multiple CDH1 alterations

More than one second hit mechanism has been reported in patients with hereditary DGC [12]. In our study, one DGC patient (men of 57 years old) was carrier of three alterations in the CDH1 gene: methylation, LOH and the new variant c.-137C > A, although it has no family history of GC. Most probably the finding of concomitant somatic inactivating mechanisms results from intratumor heterogeneity.

Finally, although the small number of samples and the absence of histopathological images constitute limitations to our study, the results it provides, regarding the alterations in the CDH1 gene and its importance for the Mexican population with diffuse and mixed gastric cancer, sheds light on a topic which has not been studied so far.

Conclusions

We characterized, for the first time, the landscape of somatic genetic and epigenetic alterations in CDH1 for Mexican patients with DGC and MGC and observed that the main inactivating events were promoter methylation and LOH. Pathogenic mutations were not found; however, a new variant in the promoter of the CDH1 gene (− 137 C > A) was observed, which could result in E-cadherin expression downregulation. Further studies are warranted to address its functionality.

Abbreviations

DGC:

Diffuse Gastric Cancer

DNA:

Deoxyribonucleic Acid

GC:

Gastric Cancer

HSF:

Human Splicing Finder v.3.0

LOH:

Loss of Heterozygosity

MGC:

Mixed Gastric Cancer

MLPA:

Multiplex Ligation-dependent Probe Amplification

mRNA:

Messenger RNA

NGS:

Next Generation Sequencing

PCR:

Polymerase Chain Reaction

RNA:

Ribonucleic Acid

VEP:

Variant Effect Predictor

References

  1. Ferlay J, Soerjomataram I, Ervik M, et al. GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC Cancer Base No. 11 [Internet]. International Agency for Research on Cancer. 2013. http://gco.iarc.fr/. Accessed 10 Dec 2017.

  2. A review of human carcinogens. Part B: Biological agents / IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. 2009. https://monographs.iarc.fr/wp-content/uploads/2018/06/mono100B-15.pdf. Accessed 15 Aug 2017.

  3. Lauren P. The two histological main types of gastric carcinoma: diffuse and so-called intestinal-type carcinoma. An attempt at a histo-clinical classification. Acta Pathol Microbiol Scand. 1965;64:31–49S.

    Article  CAS  Google Scholar 

  4. Corso G, Carvalho J, Marrelli D, Vindigni C, Carvalho B, Seruca R, et al. Somatic mutations and deletions of the e-cadherin gene predict poor survival of patients with gastric cancer. J Clin Oncol. 2013;31:868–75.

    Article  CAS  Google Scholar 

  5. Becker KF, Atkinson MJ, Reich U, Becker I, Nekarda H, Siewert JR, et al. E-cadherin gene mutations provide clues to diffuse type gastric carcinomas. Cancer Res. 1994;54:3845–52.

    CAS  PubMed  Google Scholar 

  6. Berx G, van Roy F. Involvement of members of the cadherin superfamily in cancer. Cold Spring Harb Perspect Biol. 2009;1:a003129.

    Article  Google Scholar 

  7. Li H, Durbin R. Fast and accurate short read alignment with burrows-wheeler transform. Bioinformatics. 2009;25:1754–60.

    Article  CAS  Google Scholar 

  8. Messeguer X, Escudero R, Farré D. PROMO: detection of known transcription regulatory elements using species-tailored searches. Bioinformatics. 2002;18:333–4.

    Article  CAS  Google Scholar 

  9. Farré D, Roset R, Huerta M, Adsuara JE, Roselló L, Albà MM, et al. Identification of patterns in biological sequences at the ALGGEN server: PROMO and MALGEN. Nucleic Acids Res. 2003;31:3651–3.

    Article  Google Scholar 

  10. Desmet FO, Hamroun D, Lalande M, Collod-Béroud G, Claustres M, Béroud C. Human splicing finder: an online bioinformatics tool to predict splicing signals. Nucleic Acid Res. 2009;37:e67.

    Article  Google Scholar 

  11. Artimo P, Jonnalagedda M, Arnold K, Baratin D, Csardi G, de Castro E, et al. ExPASy: SIB bioinformatics resource portal. Nucleic Acids Res. 2012;40:W597–603.

    Article  CAS  Google Scholar 

  12. Oliveira C, Sousa S, Pinheiro H, Karam R, Bordeira-Carriço R, Senz J, et al. Quantification of epigenetic and genetic 2nd hits in CDH1 during hereditary diffuse gastric cancer syndrome progression. Gastroenterology. 2009;136:2137–48.

    Article  CAS  Google Scholar 

  13. Telenti A, Pierce LC, Biggs WH, di Iulio J, Wong EH, Fabani MM, et al. Deep sequencing of 10,000 human genomes. Proc Natl Acad Sci U S A. 2016;113:11901–6.

    Article  CAS  Google Scholar 

  14. Chen KS, Lim JWC, Richards LJ, Bunt J. The convergent roles of the nuclear factor I transcription factors in development and cancer. Cancer Lett. 2017;410:124–38.

    Article  CAS  Google Scholar 

  15. Regalo G, Canedo P, Suriano G, Resende C, Campos ML, Oliveira MJ, et al. C/EBPbeta is over-expressed in gastric carcinogenesis and is associated with COX-2 expression. J Pathol. 2006;210:398–404.

    Article  CAS  Google Scholar 

  16. Murray IA, Patterson AD, Perdew GH. Ah receptor ligands in cancer: friend and foe. Nat Rev Cancer. 2014;12:801–14.

    Article  Google Scholar 

  17. Poulet A, Privat M, Ponelle F, Viala S, Decousus S, Perin A, et al. Improved efficiency and reliability of NGS amplicon sequencing data analysis for genetic diagnostic procedures using AGSA software. Biomed Res Int. 2016;5623089.

  18. López M, Cervera-Acedo C, Santibáñez P, Salazar R, Sola JJ, Domínguez-Garrido E. A novel mutation in the CDH1 gene in a Spanish family with hereditary diffuse gastric cancer. Springer Plus. 2016;5:1181.

    Article  Google Scholar 

  19. Zhang B, Zhou J, Liu Z, Gu L, Ji J, Kim WH, et al. Clinical and biological significance of a - 73A > C variation in the CDH1 promoter of patients with sporadic gastric carcinoma. Gastric Cancer. 2018;21:606–16.

    Article  CAS  Google Scholar 

  20. Hamdi Y, Boujemaa M, Ben Rekaya M, Ben Hamda C, Mighri N, El Benna H, et al. Family specific genetic predisposition to breast cancer: results from Tunisian whole exome sequenced breast cancer cases. J Transl Med. 2018;16:158.

    Article  Google Scholar 

  21. Bustos-Carpinteyro AR, Delgado-Figueroa N, Santiago-Luna E, Magaña-Torres MT, Sánchez-López JY. Association between the CDH1 -472delA and -160C>a polymorphisms and diffuse and intestinal gastric cancer in a Mexican population. Genet Mol Res. 2016;15:1–9.

    Article  Google Scholar 

  22. Deng N, Goh LK, Wang H, Das K, Tao J, Tan IB, et al. A comprehensive survey of genomic alterations in gastric cancer reveals sys- tematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets. Gut. 2012;61:673–84.

    Article  CAS  Google Scholar 

  23. The Cancer Genome Atlas Research Network. Compre- hensive molecular characterization of gastric adenocar- cinoma. Nature. 2014;513:202–9.

    Article  Google Scholar 

  24. Cristescu R, Lee J, Nebozhyn M, Kim KM, Ting JC, Wong SS, et al. Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat Med. 2015;21:449–56.

    Article  CAS  Google Scholar 

  25. Liu YC, Shen CY, Wu HS, Hsieh TY, Chan DC, Chen CJ, et al. Mechanisms inactivating the gene for E-cadherin in sporadic gastric carcinomas. World J Gastroenterol. 2006;12:2168–73.

    Article  CAS  Google Scholar 

  26. Ascaño JJ, Frierson H Jr, Moskaluk CA, Harper JC, Roviello F, Jackson CE, et al. Inactivation of the E-cadherin gene in sporadic diffuse-type gastric cancer. Mod Pathol. 2001;14:942–9.

    Article  Google Scholar 

  27. Machado JC, Oliveira C, Carvalho R, Soares P, Berx G, Caldas C, et al. E-cadherin gene (CDH1) promoter methylation as the second hit in sporadic diffuse gastric carcinoma. Oncogene. 2001;20:1525–8.

    Article  CAS  Google Scholar 

  28. Huang FY, Chan AO, Rashid A, Wong DK, Cho CH, Yuen MF. Helicobacter pylori induces promoter methylation of E-cadherin via interleukin-1β activation of nitric oxide production in gastric cancer cells. Cancer. 2012;118:4969–80.

    Article  CAS  Google Scholar 

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Acknowledgements

We thank the following institutions: 1) Coordinación de Investigación en Salud (CIS), Instituto Mexicano del Seguro Social (IMSS) for the support given to ARBC, through the Professional Development in the International Research of Graduate Students (PRODESI) program; 2) Fundación IMSS, A.C. for the research grant awarded to JYSL and MTMT; 3) FEDER - Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT/ Ministério da Ciência, Tecnologia e Inovação in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274); 4) The project NORTE-01-0145-FEDER-000029, supported by Norte Portugal Regional Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF); 5) FCT fellowships (SFRH/BPD/86543/2012 to JC; SFRH/BPD/89764/2012 to PO; PD/BD/128007/2016 to AS). IPATIMUP integrates the i3S Research Unit, which is partially supported by FCT, the Portuguese Foundation for Science and Technology.

Funding

This work was supported by the “Consejo Nacional de Ciencia y Tecnología (CONACYT)” (grant Ciencia Básica 2013–1-222972) and by the “Fondo de Investigación en Salud (FIS), Instituto Mexicano del Seguro Social (IMSS)” (grant FIS/IMSS/PROT/G13/1189), that contributed to the design of the study, collection, analysis, interpretation of data and writing the manuscript.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Author information

Authors and Affiliations

Authors

Contributions

ARBC, JYSL: Conception and design, acquisition of data, analysis and interpretation of data, drafting the manuscript, revising it critically for important intellectual content; CO: methylation and LOH analysis and interpretation of data, revising it critically for important intellectual content; AS, PO: bioinformatics analysis from NGS data; HP, JC: methylation and LOH analysis; MTMT: Sanger sequencing analysis, revising it critically for important intellectual content; MGFM, AAL, LFJS: acquisition of data NGS experiments. JPS, JACR: Expression analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Josefina Yoaly Sánchez-López.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the National Commission for Scientific Research form the Instituto Mexicano del Seguro Social (IMSS) with the number R-2012-785-179. All patients gave their written informed consent. Collection of specimens used in our study complied with institutional guidelines, it was not necessary to request any permission.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Additional files

Additional file 1:

CDH1 NGS mutation analysis. Contains additional information about the methodology followed in the next generation sequencing process. (PDF 50 kb)

Additional file 2:

Characteristics and alterations found in all the patients. Contains a complete table with the description of all the somatic variants presented by each patient in the study. (PDF 89 kb)

Additional file 3:

Genotypes of the microsatellites markers used for the LOH analysis. Contains complete genotypes of the microsatellites markers used for the LOH analysis. (PDF 50 kb)

Additional file 4:

SNP frequencies in Hispanic populations. Contains frequencies in other Hispanic populations, of the polymorphisms found in this study. (PDF 67 kb)

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Bustos-Carpinteyro, A.R., Oliveira, C., Sousa, A. et al. CDH1 somatic alterations in Mexican patients with diffuse and mixed sporadic gastric cancer. BMC Cancer 19, 69 (2019). https://doi.org/10.1186/s12885-019-5294-0

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