The Expression and Survival Significance of FOXD1 in Lung Squamous Cell Carcinoma: A Meta-Analysis, Immunohistochemistry Validation, and Bioinformatics Analysis

Prognostic and clinicopathological significance of FOXD1 in various cancers: a meta and bioinformation analysis

Aim: To examine both predictive and clinicopathological importance underlying FOXD1 in malignant tumors, our study adopts meta-analysis. Methods: We searched from PubMed, Embase, WOS, Wanfang and CNKI. Stata SE15.1 was used to calculate the risk ratio (HR) as well as relative risk (RR) with 95% of overall CIs to assess FOXD1 and overall survival rate (OS), disease-free survival rate as well as clinicopathological parameters. Results: 3808 individuals throughout 17 trials showed high FOXD1 expression was linked to disadvantaged OS (p < 0.001) and disease-free survival (p < 0.001) and higher TNM stage (p < 0.001). Conclusion: Elevated FOXD1 had worse predictions and clinicopathological parameters in most cancers. The GEPIA database findings also support our results.

Waterpipe smoke condensate induces epithelial-mesenchymal transformation and promotes metastasis of oral cancer by FOXD1 expression

BACKGROUND/PURPOSE

Smoking is a major contributor to global oral cancer cases, necessitating urgent intervention. FOXD1, involved in developmental processes and various cancers, shows promise as a prognostic marker in oral squamous cell carcinoma (OSCC). This study investigates the impact of waterpipe smoke condensate (WPSC) on OSCC, focusing on FOXD1 role in inducing epithelial-mesenchymal transition (EMT) and metastasis.

METHODS

The study involved using OSCC cells treated with WPSC to evaluate their proliferation, colony formation, gene expression, and protein levels. The researchers also explored the clinical relevance of their findings using online databases to analyze FOXD1 expression in cancer tissues and its correlation with clinicopathological features and patient survival. Additionally, in silico tools were employed for functional analysis, pathway enrichment, and network exploration.

RESULTS

The study found that WPSC increased the expression of FOXD1 in OSCC cells, which led to increased cell growth. The study also showed that FOXD1 plays a critical role in the EMT process induced by WPSC, as evidenced by changes in the expression of EMT-related genes and proteins. Clinical analysis revealed that FOXD1 was significantly associated with more aggressive tumor features and poorer prognosis in cancer patients.

CONCLUSION

The study highlights FOXD1 as a key player in OSCC pathogenesis and a potential prognostic marker and therapeutic target, particularly when influenced by WPSC exposure. Further research is needed to explore FOXD1 molecular mechanisms and clinical implications to enhance OSCC treatment strategies.

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.

Dissecting multifunctional roles of forkhead box transcription factor D1 in cancers

As a member of the forkhead box (FOX) family of transcription factors (TF), FOXD1 has recently been implicated as a crucial regulator in a variety of human cancers. Accumulating evidence has established dysregulated and aberrant FOXD1 signaling as a prominent feature in cancer development and progression. However, there is a lack of systematic review on this topic. Here, we summarized the present understanding of FOXD1 functions in cancer biology and reviewed the downstream targets and upstream regulatory mechanisms of FOXD1 as well as the related signaling pathways within the context of current reports. We highlighted the functional features of FOXD1 in cancers to identify the future research consideration of this multifunctional transcription factor and potential therapeutic strategies targeting its oncogenic activity.