TFAP4 promotes the growth of prostate cancer cells by upregulating FOXK1

TFAP4 Regulation of MCM5 Activates the PI3K/AKT Pathway to Promote Invasion and Metastasis of Gastric Cancer

AIMS

To investigate the role of transcription factor activating enhancer-binding protein 4 (TFAP4) in gastric cancer (GC) progression and elucidate its mechanism in promoting metastasis and invasion through the PI3K/AKT signaling pathway.

METHODS

Bioinformatics analysis was performed to assess TFAP4 expression in GC tissues. Clinical specimens were collected and validated for TFAP4 expression. Functional assays were conducted to evaluate the effects of TFAP4 overexpression and inhibition on GC cell proliferation, invasion, and metastasis. In vivo studies with HGC27 cells in BALB/c nude mice were used to assess tumor growth and metastasis. Mechanistic analysis included the measurement of MCM5 expression and activation of the PI3K/AKT signaling pathway, with PI3K inhibitor LY294002 and MCM5 knockdown applied to confirm the pathways involved.

RESULTS

Elevated TFAP4 expression was observed in GC tissues, and its overexpression promoted GC cell proliferation, invasion, and metastasis. Conversely, TFAP4 inhibition suppressed these behaviors. In vivo studies confirmed that TFAP4 knockdown reduced tumor growth and metastasis in nude mice. Mechanistically, TFAP4 was found to activate MCM5, which in turn facilitated GC cell invasion and metastasis. Furthermore, TFAP4 and MCM5 activated the PI3K/AKT signaling pathway, as evidenced by increased p-PI3K and p-AKT expression. The effects of TFAP4 overexpression were reversed by MCM5 knockdown or treatment with the PI3K inhibitor LY294002.

CONCLUSION

The TFAP4-MCM5 signaling axis promotes GC progression through the PI3K/AKT pathway, suggesting that targeting this axis could provide a potential therapeutic strategy for managing gastric cancer.

Integrating plasma exosomal miRNAs, ultrasound radiomics and tPSA for the diagnosis and prediction of early prostate cancer: a multi-center study

INTRODUCTION

This multi-center study aims to explore the roles of plasma exosomal microRNAs (miRNAs), ultrasound (US) radiomics, and total prostate-specific antigen (tPSA) levels in early prostate cancer detection.

METHODS

We analyzed the publicly available dataset GSE112264 to identify the differentially expressed miRNAs associated with prostate cancer. Then, PyRadiomics was used to extract image features, and least absolute shrinkage and selection operator (LASSO) was used to screen the data. Subsequently, according to strict inclusion and exclusion criteria, the internal dataset (n = 199) was used to construct a diagnostic model, and the receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA), and DeLong test were used to evaluate its diagnostic performance. Finally, we used an external dataset (n = 158) for further validation.

RESULTS

The number of features extracted by PyRadiomics was 851, and the number of features screened by LASSO was 23. We combined the hsa-miR-320c, hsa-miR-944, radiomics, and tPSA features to construct a joint model. The area under the ROC curve of the combined model was 0.935. In the internal validation, the area under the curve (AUC) of the training set was 0.943, and the AUC of the test set was 0.946. The AUC of the external data set was 0.910. The calibration curve and decision curve were consistent with the performance of the combined model. There was a significant difference in the prediction ability between the combined prediction model and the single index prediction model, indicating the high credibility and accuracy of the combined model in predicting PCa.

CONCLUSIONS

The combined prediction model, consisting of plasma exosomal miRNAs (hsa-miR-320c and hsa-miR-944), US radiomics, and clinical tPSA, can be utilized for the early diagnosis of prostate cancer.

circ_0006988 promotes gastric cancer cell proliferation, migration and invasion through miRNA-92a-2-5p/TFAP4 axis

Aim: To explore precise function and underlying mechanism of circ_0006988 in gastric cancer (GC).Materials & methods: GC tissues were collected clinically, and GC cells were purchased from the company. Quantitative real-time polymerase chain reaction and western blot were used to detect mRNA and protein expression. Functional analysis was performed through CCK-8, Transwell and scratch experiment. Binding relationship was validated through dual luciferase reporter and RNA immunoprecipitation assays. HGC-27 cells were subcutaneously injected into mice to construct a xenograft tumor model.Results: In GC tissues and cells, circ_0006988 overexpressed, promoting proliferation, migration and invasion. MiRNA-92a-2-5p downregulation or TFAP4 overexpression weakened effects of circ_0006988 silencing on GC progression.Conclusion: circ_0006988 facilitates GC development through miRNA-92a-2-5p/TFAP4 axis.

Ubiquitin-specific peptidase 15 regulates the TFAP4/PCGF1 axis facilitating liver metastasis of colorectal cancer and cell stemness

The tumor recurrence and metastasis of colorectal cancer (CRC) are responsible for most of CRC-linked mortalities. It is an urgent need to deeply investigate the pathogenesis of CRC metastasis and look for novel targets for its treatment. The current study aimed to investigate the effects of ubiquitin-specific peptidase 15 (USP-15) on the CRC progression. In vivo, a mouse model of liver metastasis of CRC tumor was established to investigate the role of USP-15. In vitro, the migrated and invasive abilities of CRC cells were assessed by transwell assay. Cell stemness was evaluated by using sphere formation assay. The underlying mechanism was further explored by employing the co-immunoprecipitation, dual luciferase reporter assay, oligonucleotide pull-down assay, and chromatin immunoprecipitation assay. The results showed that USP-15 was upregulated in CRC patients with liver metastasis and high metastatic potential cell lines of CRC. Loss of USP-15 repressed the epithelial-to-mesenchymal transition (EMT), migration, invasion, and stemness properties of CRC cells in vitro. Downregulation of USP-15 reduced the liver metastasis of mice in vivo. USP-15 upregulation obtained the contrary effects. Subsequently, USP-15 deubiquitinated transcription factor AP-4 (TFAP4) and enhanced its protein stability. TFAP4 could transcriptionally activated polycomb group ring finger 1 (PCGF1). The pro-cancer effects of USP-15 were rescue by the knockdown of TFAP4 or PCGF1. In conclusions: USP-15 facilitated the liver metastasis by the enhancement of cell stemness and EMT in CRC, which was at least partly mediated by the deubiquitination of TFAP4 upon the upregulation of PCGF1.

USP15, activated by TFAP4 transcriptionally, stabilizes SHC1 via deubiquitination and deteriorates renal cell carcinoma

Ubiquitin-specific peptidase 15 (USP15), a critical deubiquitinating enzyme, has been demonstrated to improve substrate stabilization by hydrolyzing the bond between the substrate and ubiquitin, and is implicated in multiple carcinogenic processes. Prompted by the information cited from The Cancer Genome Atlas (TCGA) database and the Cancer Proteogenomic Data Analysis Site (cProSite), USP15 is selectively overexpressed in clear cell renal cell carcinoma (ccRCC) samples. We aimed to investigate the function of USP15 on ccRCC malignant features, which was emphasized in its deubiquitination of SHC adaptor protein 1 (SHC1). The overexpression of USP15 promoted the capacity of proliferation, migration, and invasion in ccRCC CAKI1 and 769-P cells, and these malignant biological properties were diminished by USP15 deletion in 786-O cells. USP15 accelerated tumor growth and lung metastasis in vivo. In addition, deubiquitinase USP15 was further identified as a new protector for SHC1 from degradation by the ubiquitination pathway, the post-translational modification. In sequence, transcription factor activating enhancer binding protein 4 (TFAP4) was shown to be partly responsible for USP15 expression at the level of transcription, as manifested by the chromatin immunoprecipitation and pull-down assay. Based on the in vitro and in vivo data, we postulate that USP15 regulated by TFAP4 transcriptionally deteriorates ccRCC malignant biological properties via stabilizing SHC1 by deubiquitination.

CPSF3 regulates alternative polyadenylation of CNIH2 to promote esophageal squamous cell carcinoma progression

Alternative polyadenylation (APA), an important post-transcriptional regulatory mechanism, is aberrantly activated in cancer，but how APA functions in tumorigenesis remains elusive. We analyzed APA events in RNA-seq data in TCGA and reported 3'UTR alterations associated with esophageal squamous cell carcinoma (ESCC) patient prognosis and gene expression changes involving loss of tumor-suppressive miRNA binding sites. Moreover, we investigated the expression and function of cleavage and polyadenylation specific factor 3 (CPSF3), a key APA regulator in ESCC. By immunohistochemistry and qRT-PCR, we found that CPSF3 was highly expressed in ESCC tissues and associated with poor patient prognosis. Overexpression of CPSF3 enhanced, while knockdown of CPSF3 inhibited ESCC cell proliferation and migration in vitro and in vivo, as determined by colony formation, transwell assays and animal experiments. Iso-Seq and RNA-seq data analysis indicated that knockdown of CPSF3 favored use of the distal poly (A) site in the 3'UTR of Cornichon family AMPA receptor auxiliary protein 2 (CNIH2), resulting in a long-3'UTR CNIH2 isoform that produced less CNIH2 protein due to miR-125a-5p targeting and downregulating CNIH2 mRNA through a miR-125a-5p binding site in the long CNIH2 mRNA 3'UTR. Moreover, CPSF3-induced ESCC tumorigenicity was mediated by CNIH2. Taken together, CPSF3 promotes ESCC progression by upregulating CNIH2 expression through loss of miR-125a-5p-mediated CNIH2 repression through alternative splicing and polyadenylation of the CNIH2 mRNA 3'UTR.

CRISPR/Cas9 screenings unearth protein arginine methyltransferase 7 as a novel essential gene in prostate cancer metastasis

Due to the limited effectiveness of current treatments, the survival rate of patients with metastatic castration-resistant prostate cancer (mCRPC) is significantly reduced. Consequently, it is imperative to identify novel therapeutic targets for managing these patients. Since the invasive ability of cells is crucial for establishing and maintaining metastasis, the aim of this study was to identify the essential regulators of invasive abilities of mCRPC cells by conducting two independent high-throughput CRISPR/Cas9 screenings. Furthermore, some of the top hits were validated using siRNA technology, with protein arginine methyltransferase 7 (PRMT7) emerging as the most promising candidate. We demonstrated that its inhibition or depletion via genetic or pharmacological approaches significantly reduces invasive, migratory and proliferative abilities of mCRPC cells in vitro. Moreover, we confirmed that PRMT7 ablation reduces cell dissemination in chicken chorioallantoic membrane and mouse xenograft assays. Molecularly, PRMT7 reprograms the expression of several adhesion molecules by methylating various transcription factors, such as FoxK1, resulting in the loss of adhesion from the primary tumor and increased motility of mCRPC cells. Furthermore, PRMT7 higher expression correlates with tumor aggressivity and poor overall survival in prostate cancer patients. Thus, this study demonstrates that PRMT7 is a potential therapeutic target and potential biomarker for mPCa.

Identification of key potassium channel genes of temporal lobe epilepsy by bioinformatics analyses and experimental verification

One of the most prevalent types of epilepsy is temporal lobe epilepsy (TLE), which has unknown etiological factors and drug resistance. The detailed mechanisms underlying potassium channels in human TLE have not yet been elucidated. Hence, this study aimed to mine potassium channel genes linked to TLE using a bioinformatic approach. The results found that Four key TLE-related potassium channel genes (TERKPCGs) were identified: potassium voltage-gated channel subfamily E member (KCNA) 1, KCNA2, potassium inwardly rectifying channel, subfamily J, member 11 (KCNJ11), and KCNS1. A protein-protein interaction (PPI) network was constructed to analyze the relationship between TERKPCGs and other key module genes. The results of gene set enrichment analysis (GSEA) for a single gene indicated that the four TERKPCGs were highly linked to the cation channel, potassium channel, respiratory chain, and oxidative phosphorylation. The mRNA-TF network was established using four mRNAs and 113 predicted transcription factors. A ceRNA network containing seven miRNAs, two mRNAs, and 244 lncRNAs was constructed based on the TERKPCGs. Three common small-molecule drugs (enflurane, promethazine, and miconazole) target KCNA1, KCNA2, and KCNS1. Ten small-molecule drugs (glimepiride, diazoxide, levosimendan, and thiamylal et al.) were retrieved for KCNJ11. Compared to normal mice, the expression of KCNA1, KCNA2, KCNJ11, and KCNS1 was downregulated in the brain tissue of the epilepsy mouse model at both the transcriptional and translational levels, which was consistent with the trend of human data from the public database. The results indicated that key potassium channel genes linked to TLE were identified based on bioinformatics analysis to investigate the potential significance of potassium channel genes in the development and treatment of TLE.

Identification of a novel senescence-associated signature to predict biochemical recurrence and immune microenvironment for prostate cancer

Background

Prostate cancer (PCa) is an age-associated malignancy with high morbidity and mortality rate, posing a severe threat to public health. Cellular senescence, a specialized cell cycle arrest form, results in the secretion of various inflammatory mediators. In recent studies, senescence has shown an essential role in tumorigenesis and tumor development, yet the extensive effects of senescence in PCa have not been systematically investigated. Here, we aimed to develop a feasible senescence-associated prognosis model for early identification and appropriate management in patients with PCa.

Method

The RNA sequence results and clinical information available from The Cancer Genome Atlas (TCGA) and a list of experimentally validated senescence-related genes (SRGs) from the CellAge database were first obtained. Then, a senescence-risk signature related with prognosis was constructed using univariate Cox and LASSO regression analysis. We calculated the risk score of each patient and divided them into high-risk and low-risk groups in terms of the median value. Furthermore, two datasets (GSE70770 and GSE46602) were used to assess the effects of the risk model. A nomogram was built by integrating the risk score and clinical characteristics, which was further verified using ROC curves and calibrations. Finally, we compared the differences in the tumor microenvironment (TME) landscape, drug susceptibility, and the functional enrichment among the different risk groups.

Results

We established a unique prognostic signature in PCa patients based on eight SRGs, including CENPA, ADCK5, FOXM1, TFAP4, MAPK, LGALS3, BAG3, and NOX4, and validated well prognosis-predictive power in independent datasets. The risk model was associated with age and TNM staging, and the calibration chart presented a high consistency in nomogram prediction. Additionally, the prognostic signature could serve as an independent prediction factor due to its high accuracy. Notably, we found that the risk score was positively associated with tumor mutation burden (TMB) and immune checkpoint, whereas negatively correlated with tumor immune dysfunction and exclusion (TIDE), suggesting that these patients with risk scores were more sensitive to immunotherapy. Drug susceptibility analysis revealed differences in the responses to general drugs (docetaxel, cyclophosphamide, 5-Fluorouracil, cisplatin, paclitaxel, and vincristine) were yielded between the two risk groups.

Conclusion

Identifying the SRG-score signature may become a promising method for predicting the prognosis of patients with PCa and tailoring appropriate treatment strategies.