Histone methyltransferase SETD1A interacts with notch and promotes notch transactivation to augment ovarian cancer development.

BACKGROUND: High expression of SETD1A, a histone methyltransferase that specifically methylates H3K4, acted as a key oncogene in several human cancers. However, the function and underlying molecular mechanism of SETD1A in ovarian cancer (OV) remain markedly unknown. METHODS: The expression of SETD1A in OV were detected by Western blot and analyzed online, and the prognosis of STED1A in OV were analyzed online. The protein and mRNA levels were determined by Western blot and RT-qPCR. The cell proliferatin, migration and invasion were measured by CCK-8 and transwell assays. The protein interaction was detected by co-IP assay. The interaction between protein and DNA was performed by ChIP assay. The tumor growth in vivo was performed by xenograft tumor model. RESULTS: SETD1A was overexpressed in OV and a predictor of poor prognosis. Overexpression of SETD1A augmented the abilities of cell proliferation, migration, and invasion in MRG1 and OVCAR5 cells. In comparison, SETD1A knockdown suppressed cell growth, migration, and invasion in SKOV3 and Caov3 cells. Specifically, SETD1A enhanced Notch signaling by promoting the expression of Notch target genes, such as Hes1, Hey1, Hey2, and Heyl. Mechanistically, SETD1A interacted with Notch1 and methylated H3K4me3 at Notch1 targets to enhance Notch signaling. In addition, restoration of Notch1 in SETD1A-knockdown OV cells recovered cell proliferation, migration and invasion, which was inhibited by SETD1A knockdown. Furthermore, reduction of SETD1A suppressed tumorigenesis in vivo. CONCLUSION: In conclusion, our results highlighted the key role of SETD1A in OV development and proved that SETD1A promotes OV development by enhancing Notch1 signaling, indicating that SETD1A may be a novel target for OV treatment.

Histone Methyltransferase SETD1A Induces Epithelial-Mesenchymal Transition to Promote Invasion and Metastasis Through Epigenetic Reprogramming of Snail in Gastric Cancer.

Aberrant epigenetic modification induces oncogene expression and promotes cancer development. The histone lysine methyltransferase SETD1A, which specifically methylates histone 3 lysine 4 (H3K4), is involved in tumor growth and metastasis, and its ectopic expression has been detected in aggressive malignancies. Our previous study reported that SETD1A promotes gastric cancer (GC) proliferation and tumorigenesis. However, the function and molecular mechanisms of SETD1A in GC metastasis remain to be elucidated. In this study, we found that overexpression of SETD1A promoted GC migration and invasion, whereas knockdown of SETD1A suppressed GC migration and invasion in vitro. Moreover, knockdown of SETD1A suppressed GC epithelial-mesenchymal transition (EMT) by increasing the expression of epithelial marker E-cadherin and decreasing the expression of mesenchymal markers, including N-cadherin, Fibronectin, Vimentin, and α-smooth muscle actin (α-SMA). Mechanistically, knockdown of SETD1A reduced the EMT key transcriptional factor snail expression. SETD1A was recruited to the promoter of snail, where SETD1A could methylate H3K4. However, knockdown of SETD1A decreased the methylation of H3K4 on the snail promoter. Furthermore, SETD1A could be a coactivator of snail to induce EMT gene expression. Rescue of snail restored SETD1A knockdown-induced GC migration and invasion inhibition. In addition, knockdown of SETD1A suppressed GC metastasis in vivo. In summary, our data revealed that SETD1A mediated the EMT process and induced metastasis through epigenetic reprogramming of snail.

SETD1A augments sorafenib primary resistance via activating YAP in hepatocellular carcinoma.

AIMS: Sorafenib, the approved first-line chemotherapy drug for HCC (Hepatocellular Carcinoma), remains the key treatment agent which effectively improves the survival rate of advanced HCC patients. However, the sorafenib primary resistance limits the application of sorafenib for HCC treatment. The aims of current study are to explore the role and mechanism of SETD1A (Histone Lysine Methyltransferase SET Domain Containing 1A) in sorafenib primary resistance. MAIN METHODS: The SETD1A expression in HCC was analyzed by Gene Expression Profiling Interactive Analysis. The survival of HCC patients was analyzed by Kaplan-Meier Plotter. Western Blot and Real-time qPCR were performed to measure the protein and mRNA levels, respectively. Cell counting kit-8 assay and colony formation assay were performed to determine cell viability and proliferation. Propidium Iodide and Trypan Blue staining assays were performed to investigate cell death. KEY FINDINGS: Here, we showed that the expression of SETD1A was markedly upregulated in both HCC cell lines and tumor tissues compared to normal hepatocytes and corresponding non-tumor liver tissues, respectively. Regardless of whether treated with sorafenib, the patients who had higher level of SETD1A underwent lower survival rate of overall. In addition, SETD1A expression was positively correlated with the IC50 of sorafenib treated HCC cell lines. Furthermore, we indicated that knockdown of SETD1 augmented proliferation inhibition and cell death induced by sorafenib. SETD1A deficiency impaired YAP (Yes-associated protein) phosphorylation and activation. YAP activation contributed to SETD1A mediated sorafenib primary resistance. SIGNIFICANCE: The current study demonstrated that SETD1A enhanced YAP activation to induce sorafenib primary resistance in HCC.

Histone methyltransferase SETD1A interacts with HIF1α to enhance glycolysis and promote cancer progression in gastric cancer.

Growing tumors alter their metabolic profiles to support the increased cell proliferation. SETD1A, a histone lysine methyltransferase which specifically methylates H3K4, plays important roles in both normal cell and cancer cell functions. However, the function of SETD1A in gastric cancer (GC) progression and its role in GC metabolic reprogramming are still largely unknown. In the current study, we discovered that the expression of SETD1A was higher in GC tumor specimens compared to surrounding nontumor tissues. Upregulation of SETD1A increased GC cell proliferation, whereas downregulation of SETD1A inhibited GC cell proliferation. Furthermore, knockdown of SETD1A reduced glucose uptake and production of lactate and suppressed glycolysis by decreasing the expression of glycolytic genes, including GLUT1, HK2, PFK2, PKM2, LDHA, and MCT4. Mechanistically, SETD1A interacted with HIF1α to strengthen its transactivation, indicating that SETD1A promotes glycolysis through coactivation of HIF1α. SETD1A and HIF1α were recruited to the promoter of HK2 and PFK2, where SETD1A could methylate H3K4. However, knockdown of SETD1A decreased the methylation of H3K4 on HK2 and PFK2 promoter and reduced HIF1α recruitment necessary to promote transcription of glycolytic genes. Inhibition of HIF1α decelerated SETD1A-enhanced GC cell growth. In additional, there was a linear correlation between SETD1A and several key glycolytic genes in human GC specimens obtained from TCGA dataset. Thus, our results demonstrated that SETD1A interacted with HIF1α to promote glycolysis and accelerate GC progression, implicating that SETD1A may be a potential molecular target for GC treatment.

PAX8 is a potential marker for the diagnosis of primary epithelial ovarian cancer.

The present study aimed to investigate the clinical significance of paired-box 8 (PAX8) in primary epithelial ovarian cancer (PEOC). Using immunohistochemical (IHC) staining, the expression of PAX8 in 60 patients with PEOC, 20 patients with ovarian benign lesions and 10 patients with metastatic ovarian cancer (MOC), was examined based on the clinicopathological profiles of the patients. The correlation between PAX8 expression and the clinicopathological parameters or prognosis of patients was statistically analyzed. PAX8 was revealed to be highly expressed in PEOC, but not in MOC, as indicated by IHC staining. The rate of positivity of PAX8 in PEOC was 92% (57/60) with no significant difference of PAX8 expression found between the various pathological types of PEOC (P=0.871). The rate of positivity of PAX8 in ovarian benign tumors was 85%, demonstrating no significant difference in comparison with that of PEOC (P=0.761). PAX8 staining and statistical analysis revealed that the higher the grade of PEOC, the less the cancer cell had differentiated (P=0.033) and the more the cancer had advanced according to International Federation of Gynaecological Oncologists (FIGO) staging (P=0.003). Survival rate statistics showed that PEOC patients with higher PAX8 expression exhibited a shorter postoperative survival rate (P=0.009). PAX8 was specifically expressed in PEOC, and its expression level was associated with the degree of cancer cell differentiation, FIGO stage, and survival rate, indicating that PAX8 is a potential marker for the diagnosis of PEOC.

Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically.

OBJECTIVE: Endometrial cancer (EC) is a common gynecologic cancer worldwide. However, the pathogenesis of EC has not been epigenetically elucidated. Here, this study aims to describe the DNA methylation profile and identify favorable gene signatures highly associated with aberrant DNA methylation changes in EC. METHODS: The data regarding DNA methylation and gene expression were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially methylated CpG sites (DMCs), differentially methylated regions (DMRs), and differentially expressed genes (DEGs) were identified, and the relationship between the 2 omics was further analyzed. In addition, weighted CpG site co-methylation network (WCCN) was constructed followed by an integrated analysis of DNA methylation and gene expression data. RESULTS: Four hundred thirty-one tumor tissues and 46 tissues adjacent tumor of EC patients were analyzed. One thousand one hundred thirty-five DMCs (merging to 10 DMRs), and 1,488 DEGs were obtained between tumor and normal groups, respectively. One hundred forty-eight DMCs-DEGs correlated pairs and 13 regional DMCs-DEGs pairs were obtained. Interestingly, we found that some hub genes in 2 modules among 8 modules of WCCN analysis were down-regulated in tumor samples. Furthermore, protocadherins (PCDHs) clusters, DDP6, TNXB, and ZNF154 were identified as novel deregulated genes with altered methylation in EC. CONCLUSION: Based on the analysis of DNA methylation in a systematic view, the potential long-range epigenetic silencing (LRES) composed of PCDHs was reported in ECs for the first time. PCDHs clusters, DDP6, and TNXB were firstly found to be associated with tumorigenesis, and may be novel candidate biomarkers for EC.