TFAP2A activates HMGA1 to promote glycolysis and lung adenocarcinoma progression

The GJB3 correlates with the prognosis, immune cell infiltration, and therapeutic responses in lung adenocarcinoma

Gap junction protein beta 3 (GJB3) has been reported as a tumor suppressor in most tumors. However, its role in lung adenocarcinoma (LUAD) remains unknown. The purpose of this study is to explore the role of GJB3 in the prognosis and tumor microenvironment of LUAD patients. The data used in this study were acquired from The Cancer Genome Atlas, Gene Expression Omnibus, and imvigor210 cohorts. We found that GJB3 expression was increased in LUAD patients and correlated with LUAD stages. LUAD patients with high GJB3 expression exhibited a worse prognosis. A total of 164 pathways were significantly activated in the GJB3 high group. GJB3 expression was positively associated with nine transcription factors and might be negatively regulated by hsa-miR-6511b-5p. Finally, we found that immune cell infiltration and immune checkpoint expression were different between the GJB3 high and GJB3 low groups. In summary. GJB3 demonstrated high expression levels in LUAD patients, and those with elevated GJB3 expression displayed unfavorable prognoses. Additionally, there was a correlation between GJB3 and immune cell infiltration, as well as immune checkpoint expression in LUAD patients.

AP-2α gene deregulation is associated with renal cell carcinoma patient survival

BACKGROUND

Renal cell carcinoma (RCC), one of the most fatal urologic tumors, accounts for approximately 3% of all adult cancers and exhibits a high metastatic index at diagnosis and a high rate of relapse. Radical or partial nephrectomy is a curative option for nonmetastatic RCCs. Targeted therapy has been shown to improve the survival of patients with metastatic RCCs. However, the underlying cellular and molecular events associated with RCC pathogenesis are not well known.

METHODS

To investigate the clinical role of the transcription factor activator protein (AP)-2α in RCC, methylated CpG island recovery assays and microarray analysis were employed. COBRA and RT‒qPCR assays were performed to assess AP-2α expression in RCC.

RESULTS

A negative correlation was noted between AP-2α mRNA expression levels and methylation status. Multivariate analyses showed that AP-2α mRNA was a major risk factor not only for overall and disease-free survival in RCC but also for disease-free survival in clear cell RCC.

CONCLUSIONS

Our results indicated that AP-2α expression was deregulated in RCC and associated with overall patient survival and disease-free survival. Such findings suggest that AP-2α might play an important role in the pathogenesis of RCC.

IGF2BP3 suppresses ferroptosis in lung adenocarcinoma by m6A-dependent regulation of TFAP2A to transcriptionally activate SLC7A11/GPX4

Ferroptosis is recently discovered as an important player in the initiation, proliferation, and progression of human tumors. Insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) has been reported as an oncogene in multiple types of cancers, including lung adenocarcinoma (LUAD). However, little research has been designed to investigate the regulation of IGF2BP3 on ferroptosis in LUAD. qRT-PCR and western blot were used to measure the mRNA and protein expression of IGF2BP3 and transcription factor AP-2 alpha (TFAP2A). CCK-8 assay was performed to determine cell viability. DCFH-DA and C11-BODIPY staining were used to detect the levels of intracellular reactive oxygen species (ROS) and lipid ROS. The corresponding assay kits were used to analyze the levels of malondialdehyde (MDA) and glutathione (GSH). SRAMP website and m6A RNA immunoprecipitation (Me-RIP) were used to predict and confirm the m6A modification of TFAP2A. RIP experiments were conducted to confirm the binding of IGF2BP3 and TFAP2A. RNA stability assay was performed using actinomycin D. Chromatin immunoprecipitation (ChIP) and dual-luciferase reporter experiments were performed to confirm the interaction between TFAP2A and cystine/glutamate antiporter solute carrier family 7 member 11 (SLC7A11) or glutathione peroxidase 4 (GPX4). Mice xenotransplant model was also constructed to explore the effect of IGF2BP3 on LUAD tumor growth and ferroptosis. IGF2BP3 and TFAP2A were both highly expressed in LUAD. IGF2BP3 or TFAP2A knockdown induced ferroptosis by aggravating erastin-induced cell viability suppression, increasing the production of intracellular ROS, lipid ROS, and MDA, and decreasing GSH synthesis, GSH/GSSG ratio, and cystine uptake. Mechanistically, IGF2BP3 stabilized TFAP2A expression via m6A modification. Moreover, sh-IGF2BP3-mediated ferroptosis was significantly abated by TFAP2A overexpression. Furthermore, TFAP2A binds to the promoters of SLC7A11 and GPX4 to promote their transcription. Also, IGF2BP3 depletion suppressed LUAD tumor growth by inducing ferroptosis in mice. IGF2BP3 suppresses ferroptosis in LUAD by m6A-dependent regulation of TFAP2A to promote the transcription of SLC7A11 and GPX4. Our findings suggest that targeting IGF2BP3/TFAP2A/SLC7A11/GPX4 axis might be a potential therapeutic choice to increase ferroptosis sensitivity in LUAD.

Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis

Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with reduced quality of life and earlier mortality, but its pathogenesis and key genes are still unclear. In this investigation, bioinformatics was used to deeply analyze the pathogenesis of IPF and related key genes, so as to investigate the potential molecular pathogenesis of IPF and provide guidance for clinical treatment. Next-generation sequencing dataset GSE213001 was obtained from Gene Expression Omnibus (GEO), and the differentially expressed genes (DEGs) were identified between IPF and normal control group. The DEGs between IPF and normal control group were screened with the DESeq2 package of R language. The Gene Ontology (GO) and REACTOME pathway enrichment analyses of the DEGs were performed. Using the g:Profiler, the function and pathway enrichment analyses of DEGs were performed. Then, a protein-protein interaction (PPI) network was constructed via the Integrated Interactions Database (IID) database. Cytoscape with Network Analyzer was used to identify the hub genes. miRNet and NetworkAnalyst databaseswereused to construct the targeted microRNAs (miRNAs), transcription factors (TFs), and small drug molecules. Finally, receiver operating characteristic (ROC) curve analysis was used to validate the hub genes. A total of 958 DEGs were screened out in this study, including 479 up regulated genes and 479 down regulated genes. Most of the DEGs were significantly enriched in response to stimulus, GPCR ligand binding, microtubule-based process, and defective GALNT3 causes HFTC. In combination with the results of the PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network, hub genes including LRRK2, BMI1, EBP, MNDA, KBTBD7, KRT15, OTX1, TEKT4, SPAG8, and EFHC2 were selected. Cyclothiazide and rotigotinethe are predicted small drug molecules for IPF treatment. Our findings will contribute to identification of potential biomarkers and novel strategies for the treatment of IPF, and provide a novel strategy for clinical therapy.