RNA splicing is an essential process involved in many aspects of cell proliferation, survival and differentiation, and given the importance of RNA splicing in gene regulation, alterations in this biological behavior have been associated with many human cancers. BUD13 as an RNA binding protein (RBP) has been sparsely studied in tumors; consequently, there is a compelling need to further investigate the expression profile of BUD13 in human cancers to provide new molecular clues for the pathogenesis of hepatocellular carcinoma. For this porpuse, we used a series of bioinformatics methods to synthesize the relationship between BUD13 and prognosis, tumor microenvironment (TME), immune infiltration, tumor mutational load (TMB), and microsatellite instability (MSI), and tried to find the potential biological processes of BUD13 in tumors by GSEA and GSVA. And the association between the expression of BUD13 gene and prognosis was predicted by constructing a nomogram of hepatocellular carcinoma by multifactorial regression model. Results showed tgat in the present study, we found that elevated expression of BUD13 is associated with poorer OS in a numerous cancers, including ACC, KIRC, LGG, LIHC, READ, THYM, and UCS.More importantly, BUD13 expression levels were also significantly correlated with TME. Our results also indicated that BUD13 expression was closely associated with Pyroptosis genes and immune-related genes. Furthermore, BUD13 expression was associated with TMB, MSI and antitumor drug sensitivity in various cancer types. Functional bioinformatics analysis indicated that BUD13 may be involved in multiple signaling pathways and biological processes in hepatocellular carcinoma. Based on BUD13 expression, a risk factor model was found to predict OS in hepatocellular carcinoma. In conclusion, overall this study suggests that BUD13 expression is associated with poor prognosis and may be involved in the development and progression of hepatocellular carcinoma, which may be further explored as a potential prognostic marker and new targeted therapy.
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http://dx.doi.org/10.14715/cmb/2023.69.6.7 | DOI Listing |
Cancer Rep (Hoboken)
January 2025
Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Background: Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.
Aim: In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).
Methods And Results: Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes.
Front Genet
December 2024
School of information engineering, Jingdezhen Ceramic University, Jingdezhen, China.
The early symptoms of hepatocellular carcinoma patients are often subtle and easily overlooked. By the time patients exhibit noticeable symptoms, the disease has typically progressed to middle or late stages, missing optimal treatment opportunities. Therefore, discovering biomarkers is essential for elucidating their functions for the early diagnosis and prevention.
View Article and Find Full Text PDFFront Nutr
December 2024
Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: The Prognostic Nutritional Index (PNI), which reflects both nutritional and immune status, has emerged as a potential predictor of survival outcomes in cancer patients. However, its role in forecasting the prognosis of hepatocellular carcinoma (HCC) following curative hepatectomy remains unclear. To further investigate the association between PNI and survival outcomes in HCC patients, we conducted a systematic review and meta-analysis.
View Article and Find Full Text PDFMost malignant hepatocellular tumors in children are classified as either hepatoblastoma (HB) or hepatocellular carcinoma (HCC), but some tumors demonstrate features of both HB and HCC . These tumors have been recognized under a provisional diagnostic category by the World Health Organization and are distinguished from HB and HCC by a combination of histological, immunohistochemical, and molecular features . Their outcomes and cellular composition remain an open question .
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Background: Transarterial therapy (TAT), bevacizumab (Bev), and immune checkpoint inhibitors (ICIs) have individually exhibited efficacy in treating advanced-stage hepatocellular carcinoma (HCC). This study aimed to assess the efficacy and safety of the combination of these three treatments as a neoadjuvant modality in patients with locally advanced HCC.
Methods: The primary endpoint is overall survival (OS).
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