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OBJECTIVES: Cancer, a formidable disease, continues to challenge our understanding and therapeutic approaches. This study delves into the pan-cancer analysis of BCL2 Associated X (BAX) gene expression, seeking to unravel its significance in cancer development, prognosis, and potential therapeutic strategies. METHODS: A combination of bioinformatics and molecular experiments. RESULTS: Our pan-cancer investigation into BAX expression encompassed 33 distinct cancer types, revealing a remarkable and uniform increase in BAX expression. This groundbreaking finding emphasizes the potential universality of BAX's role in cancer development and progression. Further, our study explored the prognostic implications of BAX expression, highlighting a consistent association between up-regulated BAX and poor overall survival (OS) in Liver Hepatocellular Carcinoma (LIHC) and Skin Cutaneous Melanoma (SKCM). These results suggest that BAX may serve as an adverse prognostic indicator in these malignancies, emphasizing the importance of personalized treatment strategies. Epigenetic and genetic analyses of BAX provided valuable insights. Hypomethylation of the BAX promoter region was evident in LIHC and SKCM, which likely contributes to the up-regulation of BAX, while genetic mutations in the BAX gene itself were infrequent in these cancers. Our exploration of BAX-associated signaling pathways and the correlation between BAX expression and CD8+ T cell infiltration shed light on the intricate molecular landscape of cancer. BAX's interaction with key apoptotic and immune-related pathways reinforces its role as a central player in tumor development and the immune microenvironment. Moreover, our drug prediction analysis identified potential therapeutic agents for modulating BAX expression in the context of LIHC and SKCM, bridging the gap between research and clinical application. CONCLUSION: In sum, our comprehensive BAX study not only enhances our understanding of its significance as a biomarker gene but also offers novel avenues for therapeutic interventions, contributing to the ongoing quest for more effective cancer treatments and improved patient care.
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OBJECTIVES: Oncogenic processes in cancer are frequently marked by the dysregulation of critical genes, and PTPN3 (Protein Tyrosine Phosphatase, Non-Receptor Type 3) has emerged as a gene of interest due to its potential involvement in various cellular processes. This study delves into the diagnostic and prognostic implications of PTPN3 in a pan-cancer context. METHODS: Leveraging comprehensive genomic datasets and experimental validation, we aimed to shed light on the role of PTPN3 in cancer. RESULTS: Our findings revealed the pervasive up-regulation of PTPN3 across 33 cancer types, making it a ubiquitous player in tumorigenesis. Of particular note, PTPN3 up-regulation exhibited a strong association with reduced overall survival in breast cancer (BRCA) and lung adenocarcinoma (LUAD). This underscores PTPN3's potential as a valuable prognostic marker in these cancers. While genetic mutations often drive oncogenic processes, our mutational analysis demonstrated the relative stability of PTPN3 in BRCA and LUAD. Promoter methylation analysis showed that hypomethylation plays a predominant role in PTPN3 dysregulation in BRCA and LUAD. Furthermore, our study unveiled positive correlations between PTPN3 expression and CD8+ T cell infiltration, offering insights into the gene's influence on the tumor immune microenvironment. Pathway enrichment analysis highlighted the involvement of PTPN3-associated genes in crucial signaling pathways. In addition, drug prediction analysis pinpointed potential drugs capable of modulating PTPN3 expression, opening avenues for personalized treatment strategies. CONCLUSION: In summary, our study elucidates the multifaceted roles of PTPN3 in BRCA and LUAD, underlining its significant up-regulation, prognostic relevance, epigenetic regulation, and its impact on the tumor immune microenvironment.
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OBJECTIVES: In this comprehensive breast cancer (BC) study, we aimed to identify, validate, and characterize key biomarkers with significant implications in BC diagnosis, prognosis, and as therapeutic targets. METHODS: Our research strategy involved a multi-level methodology, combining bioinformatic analysis with experimental validation. RESULTS: Initially, we conducted an extensive literature search to identify BC biomarkers, selecting those with reported accuracies exceeding 20% in specificity and sensitivity. This yielded nine candidate biomarkers, which we subsequently analyzed using Cytoscape to identify a few key biomarkers. Based on the degree method, we denoted four key biomarkers, including progesterone receptor (PGR), epidermal growth factor receptor (EGFR), estrogen receptor 1 (ESR1), and Erb-B2 Receptor Tyrosine Kinase 2 (ERBB2). Expression analysis using The Cancer Genome Atlas (TCGA) dataset revealed that PGR and EGFR exhibited significant (p-value < 0.05) down-regulation in BC samples when compared to controls, while ESR1 and ERBB2 showed up-regulation. To strengthen our findings, we collected clinical BC tissue samples from Pakistani patients and performed expression verification using real-time quantitative polymerase chain reaction (RT-qPCR). The results aligned with our initial TCGA dataset analysis, further validating the differential expression of these key biomarkers in BC. Furthermore, we utilized receiver operating characteristic (ROC) curves to demonstrate the diagnostic use of these biomarkers. Our analysis underscored their accuracy and sensitivity as diagnostic markers for BC. Survival analysis using the Kaplan-Meier Plotter tool revealed a prognostic significance of PGR, ESR1, EGFR, and ERBB2. Their expression levels were associated with poor overall survival (OS) of BC patients, shedding light on their roles as prognostic indicators in BC. Lastly, we explored DrugBank to identify drugs that may reverse the expression patterns , and estradiol, decitabine, and carbamazepine were singled out. CONCLUSION: Our study gives valuable insight into BC biomarkers, for diagnosis and prognosis. These findings have implications for BC management using personalized and targeted therapeutic approaches for BC patients.
