Importance of promoter methylation of GATA4 gene in epithelial ovarian cancer

The PRC2 complex epigenetically silences GATA4 to suppress cellular senescence and promote the progression of breast cancer

BACKGROUND

The transcription factor GATA4 is pivotal in cancer development but is often silenced through mechanisms like DNA methylation and histone modifications. This silencing suppresses the transcriptional activity of GATA4, disrupting its normal functions and promoting cancer progression. However, the precise molecular mechanisms and implications of GATA4 silencing in tumorigenesis remain unclear. Here, we aim to elucidate the mechanisms underlying GATA4 silencing and explore its role in breast cancer progression and its potential as a therapeutic target.

METHODS

The GATA4-breast cancer prognosis link was explored via bioinformatics analyses, with GATA4 expression measured in breast tissues. Functional gain/loss experiments were performed to gauge GATA4's impact on breast cancer cell malignancy. GATA4-PRC2 complex interaction was analyzed using silver staining and mass spectrometry. Chromatin immunoprecipitation, coupled with high-throughput sequencing, was used to identify GATA4-regulated downstream target genes. The in vitro findings were validated in an in situ breast cancer xenograft mouse model.

RESULTS

GATA4 mutation and different breast cancer subtypes were correlated, suggesting its involvement in disease progression. GATA4 suppressed cell proliferation, invasion, and migration while inducing apoptosis and senescence in breast cancer cells. The GATA4-PRC2 complex interaction silenced GATA4 expression, which altered the regulation of FAS, a GATA4 downstream gene. In vivo experiments verified that GATA4 inhibits tumor growth, suggesting its regulatory function in tumorigenesis.

CONCLUSIONS

This comprehensive study highlights the epigenetic regulation of GATA4 and its impact on breast cancer development, highlighting the PRC2-GATA4-FAS pathway as a potential target for therapeutic interventions in breast cancers.

Prognostic Effects of RASSF1A, BRCA1, APC, and p16 Promoter Methylation in Ovarian Cancer: A Meta-Analysis

INTRODUCTION

DNA methylation plays an important role in the carcinogenesis, progression, and prognosis of various human cancers. RASSF1A, BRCA1, APC, and p16 are the frequently methylated genes among patients with ovarian cancer. Therefore, our study aimed to better determine the prognostic and cancer characteristics effects of RASSF1A, BRCA1, APC, and p16 promoter methylation in ovarian cancer patients.

METHODS

Databases such as PubMed, Web of Science, EMBASE, CNKI, and WanFang were searched for published studies up to March 4, 2024. The outcomes are shown as OR and HR with their 95% CIs. Then, the random or fixed-effect model was performed to evaluate the effect sizes.

RESULTS

Finally, 27 articles were included in this meta-analysis. No significant relationships were observed between RASSF1A, BRCA1, and APC promoter methylation and the clinical prognostic (including overall survival and progression-free survival) and cancer characteristics (including ascites, lymph node metastasis, and pelvic peritoneal metastasis) in ovarian cancer. p16 promoter methylation was significantly related to poor progression-free survival (PFS) (HR = 1.52, 95% CI = 1.14-2.04) and overall survival (OS) (HR = 1.39, 95% CI = 1.06, to 1.83) in univariate and poor PFS in multivariate Cox regression models (HR = 1.42, 95% CI = 1.05-1.92). Besides, our results indicated that the clinical stage was associated with inferior OS while there was no significant association between tumor grade and OS.

CONCLUSION

RASSF1A, BRCA1, and APC promoter methylation were not significantly associated with clinical prognostic and cancer characteristics. p16 may be a useful biomarker for predicting PFS in ovarian cancer. Furthermore, the clinical stage was significantly associated with OS. In further research, more prospective and multicenter validation studies remain needed.

Oncogenic SIRT7 inhibits GATA4 transcriptional activity and activates the Wnt signaling pathway in ovarian cancer

OBJECTIVE

Sirtuin-7 (SIRT7) is a class III histone deacetylase that plays an important role in cancer development and frequently overexpressed in carcinomas. In this study, the tumor-supporting role and underlying mechanisms of SIRT7 were characterized in ovarian cancer (OC) aggressiveness.

METHODS

SIRT7 expression was examined in OC tissues and cells. Interactions among SIRT7, GATA4, Wnt signaling pathway were explored by bioinformatics tools and experimental validations. The effect of SIRT7 and GATA4 on malignant phenotypes of OC cells were examined with gain- and loss-of-function experiments. A nude mouse model of OC was developed to verify the in vitro findings.

RESULTS

It was noted that SIRT7 was highly expressed in OC tissues and cells. Cell lines with higher SIRT7 expression (OVCAR-3 and OVCAR-8) were used for subsequent in vitro experiments. The experimental data indicated that silencing of SIRT7 suppressed the OC cell proliferation, colony formation, migration, and invasion, and promoted cell senescence, which could be abolished by GATA4 knockdown. Mechanistically, SIRT7 promoted deacetylation of GATA4 and consequently inhibited the transcriptional activity of GATA4. In addition, GATA4 induced OC cell senescence by inhibiting Wnt signaling pathway. Further in vivo experiments substantiated that SIRT7 knockdown or overexpressed GATA4 could effectively inhibit tumor growth of nude mice.

CONCLUSION

Taken together, our findings indicated that SIRT7 enhanced development of OC by suppressing GATA4 and activating Wnt signaling pathway, suggesting the potential of SIRT7/GATA4/Wnt axis as a therapeutic target for OC.

A GATA4-regulated secretory program suppresses tumors through recruitment of cytotoxic CD8 T cells

The GATA4 transcription factor acts as a master regulator of development of multiple tissues. GATA4 also acts in a distinct capacity to control a stress-inducible pro-inflammatory secretory program that is associated with senescence, a potent tumor suppression mechanism, but also operates in non-senescent contexts such as tumorigenesis. This secretory pathway is composed of chemokines, cytokines, growth factors, and proteases. Since GATA4 is deleted or epigenetically silenced in cancer, here we examine the role of GATA4 in tumorigenesis in mouse models through both loss-of-function and overexpression experiments. We find that GATA4 promotes non-cell autonomous tumor suppression in multiple model systems. Mechanistically, we show that Gata4-dependent tumor suppression requires cytotoxic CD8 T cells and partially requires the secreted chemokine CCL2. Analysis of transcriptome data in human tumors reveals reduced lymphocyte infiltration in GATA4-deficient tumors, consistent with our murine data. Notably, activation of the GATA4-dependent secretory program combined with an anti-PD-1 antibody robustly abrogates tumor growth in vivo.

Identification of a four-gene methylation biomarker panel in high-grade serous ovarian carcinoma

Background The lack of effective biomarkers for the screening and early detection of ovarian cancer (OC) is one of the most pressing problems in oncogynecology. Because epigenetic alterations occur early in the cancer development, they provide great potential to serve as such biomarkers. In our study, we investigated a potential of a four-gene methylation panel (including CDH13, HNF1B, PCDH17 and GATA4 genes) for the early detection of high-grade serous ovarian carcinoma (HGSOC). Methods For methylation detection we used methylation sensitive high-resolution melting analysis and real-time methylation specific analysis. We also investigated the relation between gene hypermethylation and gene relative expression using the 2-ΔΔCt method. Results The sensitivity of the examined panel reached 88.5%. We were able to detect methylation in 85.7% (12/14) of early stage tumors and in 89.4% (42/47) of late stage tumors. The total efficiency of the panel was 94.4% and negative predictive value reached 90.0%. The specificity and positive predictive value achieved 100% rates. Our results showed lower gene expression in the tumor samples in comparison to control samples. The more pronounced downregulation was measured in the group of samples with detected methylation. Conclusions In our study we designed the four-gene panel for HGSOC detection in ovarian tissue with 100% specificity and sensitivity of 88.5%. The next challenge is translation of the findings to the less invasive source for biomarker examination, such as plasma. Our results indicate that combination of examined genes deserve consideration for further testing in clinical molecular diagnosis of HGSOC.

Comparative transcriptome analysis of matched primary and distant metastatic ovarian carcinoma

BACKGROUND

High grade serous ovarian carcinoma (HGSOC) is the most common subtype of epithelial ovarian cancers (EOC) with poor prognosis. In most cases EOC is widely disseminated at the time of diagnosis. Despite the optimal cytoreductive surgery and chemotherapy most patients develop chemoresistance, and the 5-year overall survival being only 25-35%.

METHODS

Here we analyzed the gene expression profiles of 10 primary HGSOC tumors and 10 related omental metastases using RNA sequencing and identified 100 differentially expressed genes.

RESULTS

The differentially expressed genes were associated with decreased embryogenesis and vasculogenesis and increased cellular proliferation and organismal death. Top upstream regulators responsible for this gene signature were NR5A1, GATA4, FOXL2, TP53 and BMP7. A subset of these genes were highly expressed in the ovarian cancer among the cancer transcriptomes of The Cancer Genome Atlas. Importantly, the metastatic gene signature was suggestive of poor survival in TCGA data based on gene enrichment analysis.

CONCLUSION

By comparing the gene expression profiles of primary HGSOC tumors and their matched metastasis, we provide evidence that a signature of 100 genes is able to separate these two sample types and potentially predict patient survival. Our study identifies functional categories of genes and transcription factors that could play important roles in promoting metastases and serve as markers for cancer prognosis.

Integrated Bioinformatic Analysis of a Competing Endogenous RNA Network Reveals a Prognostic Signature in Endometrial Cancer

In endometrial carcinoma, the clinical outcome directly correlates with the TNM stage, but the lack of sufficient information prevents accurate prediction. The molecular mechanism underlying the competing endogenous RNA (ceRNA) hypothesis has not been investigated in endometrial cancer. Multi-bioinformatic analyses, including differentially expressed gene analysis, ceRNA network construction, Cox regression analysis, function enrichment analysis, and protein-protein network analysis, were performed on the sequence data acquired from The Cancer Genome Atlas (TCGA) data bank. A ceRNA network comprising 366 mRNAs, 27 microRNAs (miRNAs), and 66 long non-coding RNAs (lncRNAs) was established. Survival analysis performed with the univariate Cox regression analysis revealed nine lncRNAs with prognostic power in endometrial carcinoma. In multivariate Cox regression analysis, a signature comprising LINC00491, LINC00483, ADARB2-AS1, and C8orf49 showed remarkable prognostic power. Risk score and neoplasm status, but not TNM stage, were independent prognostic factors of endometrial carcinoma. A ceRNA network comprising differentially expressed mRNAs, miRNAs, and lncRNAs may reveal the molecular events involved in the progression of endometrial carcinoma. In addition, the signature with prognostic value may discriminate patients with increased risk for poor outcome, which may allow physicians to take accurate decisions.

Promoter Methylation of RASSF1A Gene in Egyptian Patients with Ovarian Cancer

Ovarian malignancy is diagnosed in nearly a fourth of a million women internationally every year. Methylation of RASSF1A tumor suppressor gene prompts its inactivation in diseases. In this study, the RASSF1A promoter methylation was detected by methylated-specific PCR and investigated serum RASSF1A protein level through enzyme-linked immunosorbant assay in 160 Egyptian patients with ovarian cancer and 160 healthy controls. The present work proved that there was a higher frequency of RASSF1A methylation and a decrease in its serum level in patients with ovarian cancer compared to controls as well as in the high-grade tumor patients compared to low grade ones and also in advanced ovarian tumor stage compared to early stages. Our study exhibited that RASSF1A promoter hypermethylation and its protein levels may be a reliable and sensitive tool for diagnosing and monitoring of ovarian malignancy patients.

Next-Generation Sequencing Approach in Methylation Analysis of HNF1B and GATA4 Genes: Searching for Biomarkers in Ovarian Cancer

DNA methylation is well-known to be associated with ovarian cancer (OC) and has great potential to serve as a biomarker in monitoring response to therapy and for disease screening. The purpose of this study was to investigate methylation of HNF1B and GATA4 and correlate detected methylation with clinicopathological characteristic of OC patients. The study group consisted of 64 patients with OC and 35 control patients. To determine the most important sites of HNF1B and GATA4, we used next-generation sequencing. For further confirmation of detected methylation of selected regions, we used high-resolution melting analysis and methylation-specific real-time polymerase chain reaction (PCR). Selected regions of HNF1B and GATA4 were completely methylation free in all control samples, whereas methylation-positive pattern was observed in 32.8% (HNF1B) and 45.3% (GATA4) of OC samples. Evaluating both genes together, we were able to detect methylation in 65.6% of OC patients. We observed a statistically significant difference in HNF1B methylation between samples with different stages of OC. We also detected subtype specific methylation in GATA4 and a decrease of methylation in late stages of OC. The combination of unmethylated HNF1B and methylated GATA4 was associated with longer overall survival. In our study, we employed innovative approach of methylation analysis of HNF1B and GATA4 to search for possible epigenetic biomarkers. We confirmed the significance of the HNF1B and GATA4 hypermethylation with emphasis on the need of selecting the most relevant sites for analysis. We suggest selected CpGs to be further examined as a potential positive prognostic factor.

SMARCB1/INI1-deficient sinonasal carcinoma shows methylation of RASSF1 gene: A clinicopathological, immunohistochemical and molecular genetic study of a recently described entity

The aim of the study was detailed clinicopathological investigation of SMARCB1/INI1-deficient sinonasal carcinomas, including molecular genetic analysis of mutational status and DNA methylation of selected protooncogenes and tumor suppressor genes by means of next generation sequencing (NGS) and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA). A total of 4/56 (7%) cases of SMARCB1/INI1-deficient carcinomas were detected among 56 sinonasal carcinomas diagnosed over a 19year period using immunohistochemical screening. The series comprised 3 males and 1 female, aged 27-76 years (median 64 years). All tumors arose in the nasal cavity. Three neoplasms were diagnosed in advanced stage pT4. During the follow-up period (range 14-111 months (median 72 months)), three tumors recurred locally, but none of the patients developed regional or distant metastases. Ultimately, two patients died due to the tumor. Microscopically, all tumors consisted of infiltrating nests of polygonal basaloid cells with a variable component of rhabdoid cells with eosinophilic cytoplasm. Immunohistochemically, there was almost diffuse expression of cytokeratins (CK), p16, p40 and p63 in all cases, while expression of CK5/6, CK7 and vimentin was only focal or absent. The detection of NUT gave negative results. In three cases, the absence of SMARCB1/INI1 expression was due to deletion of SMARCB1/INI1 gene. Methylation of SMARCB1/INI1 gene was not found. One tumor harbored HPV18 E6/E7 mRNA. All 12 genes (BRAF, BRCA1, BRCA2, KIT, EGFR, KRAS, NRAS, PDGFRA, PIK3CA, PTEN, RET, and ROS1) tested for mutations using NGS were wild-type. Regarding DNA methylation, all four SMARCB1/INI1-deficient tumors showed methylation of RASSF1 gene by means of MS-MLPA. There was a statistically significant difference in RASSF1 gene methylation between SMARCB1/INI1-deficient and SMARCB1/INI1-positive tumors (p=0.0095). All other examined genes (ATM, BRCA1, BRCA2, CADM1, CASP8, CD44, CDKN1B, CDKN2A, CDKN2B, CHFR, DAPK1, ESR1, FHIT, GSTP1, HIC1, KLLN, MLH1a, MLH1b, RARB, and VLH) were unmethylated. In summary, we described four cases of SMARCB1/INI1-deficient sinonasal carcinoma with detailed clinicopathological data indicating that these tumors can be regarded as a distinct entity with aggressive behaviour. For the first time, we performed analysis of DNA methylation in SMARCB1/INI1-deficient sinonasal carcinomas, reporting on significantly higher methylation of RASSF1 gene in this neoplasm.

Hypermethylation of the GATA binding protein 4 (GATA4) promoter in Chinese pediatric acute myeloid leukemia

BACKGROUND

Acute myeloid leukemia (AML) is the second-most common form of leukemia in children. Aberrant DNA methylation patterns are a characteristic feature of AML. GATA4 has been suggested to be a tumor suppressor gene regulated by promoter hypermethylation in various types of human cancers although the expression and promoter methylation of GATA4 in pediatric AML is still unclear.

METHODS

Transcriptional expression levels of GATA4 were evaluated by semi-quantitative and real-time PCR. Methylation status was investigated by methylation-specific PCR (MSP) and bisulfate genomic sequencing (BGS). The prognostic significance of GATA4 expression and promoter methylation was assessed in 105 cases of Chinese pediatric acute myeloid leukemia patients with clinical follow-up records.

RESULTS

MSP and BGS analysis showed that the GATA4 gene promoter is hypermethylated in AML cells, such as the HL-60 and MV4-11 human myeloid leukemia cell lines. 5-Aza treatment significantly upregulated GATA4 expression in HL-60 and MV4-11 cells. Aberrant methylation of GATA4 was observed in 15.0 % (3/20) of the normal bone marrow control samples compared to 56.2 % (59/105) of the pediatric AML samples. GATA4 transcript levels were significantly decreased in AML patients (33.06 ± 70.94; P = 0.011) compared to normal bone marrow/idiopathic thrombocytopenic purpura controls (116.76 ± 105.39). GATA4 promoter methylation was correlated with patient leukocyte counts (WBC, white blood cells) (P = 0.035) and minimal residual disease MRD (P = 0.031). Kaplan-Meier survival analysis revealed significantly shorter overall survival time in patients with GATA4 promoter methylation (P = 0.014).

CONCLUSIONS

Epigenetic inactivation of GATA4 by promoter hypermethylation was observed in both AML cell lines and pediatric AML samples; our study implicates GATA4 as a putative tumor suppressor gene in pediatric AML. In addition, our findings imply that GATA4 promoter methylation is correlated with WBC and MRD. Kaplan-Meier survival analysis revealed significantly shorter overall survival in pediatric AML with GATA4 promoter methylation but multivariate analysis shows that it is not an independent factor. However, further research focusing on the mechanism of GATA4 in pediatric leukemia is required.