Background: Understanding the molecular mechanisms and identifying prognostic markers across various subtypes and stages of prostate cancer (PCa) are crucial for improving therapeutic strategies against the disease. This study focuses on discovering novel immune-related biomarkers that could aid in the evaluation and prognosis of PCa at different stages and serve as promising therapeutic targets.
Methods: Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were analyzed to identify differentially expressed genes (DEGs) linked to PCa progression. The relationship between immune cell infiltration in the tumor microenvironment (TME) and the expression levels of baculoviral inhibitor of apoptosis protein repeat containing 5 (BIRC5) and hyaluronan-mediated motility receptor (HMMR) were examined using xCELL and quanTIseq algorithms.
Results: The analysis identified ten key hub genes, with survival analysis indicating that higher expressions of BIRC5 and HMMR were associated with poor outcomes and may contribute to tumor progression. Notably, the expressions of BIRC5 and HMMR showed a significant correlation with tumor-infiltrating lymphocytes (TILs) in various PCa subgroups. Immunohistochemistry (IHC) evaluations further corroborated the bioinformatics findings.
Conclusions: This study confirms BIRC5 and HMMR as potential biomarkers for predicting the prognosis of PCa, providing important evidence for the development of future therapeutic strategies. Through further research, these biomarkers may be utilized in clinical practice to improve patient management and treatment outcomes.
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http://dx.doi.org/10.21037/tau-24-359 | DOI Listing |
Transl Androl Urol
November 2024
Department of Urology, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Background: Understanding the molecular mechanisms and identifying prognostic markers across various subtypes and stages of prostate cancer (PCa) are crucial for improving therapeutic strategies against the disease. This study focuses on discovering novel immune-related biomarkers that could aid in the evaluation and prognosis of PCa at different stages and serve as promising therapeutic targets.
Methods: Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were analyzed to identify differentially expressed genes (DEGs) linked to PCa progression.
Medicine (Baltimore)
October 2024
Medical Laboratory Center, Xi'an TCM Hospital of Encephalopathy, Xi'an, China.
Comput Biol Med
January 2023
Laboratory of Integrative Genomics, Department of Integrative Biology, School of BioSciences and Technology, Vellore Institute of Technology (VIT), Vellore, 632014, Tamil Nadu, India. Electronic address:
Background: The primary source of death in the world is non-small cell lung cancer (NSCLC). However, NSCLCs pathophysiology is still not completely understood. The current work sought to study the differential expression of mRNAs involved in NSCLC and their interactions with miRNAs and circRNAs.
View Article and Find Full Text PDFInt J Mol Sci
February 2021
Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
N6-methyladenosine (m6A) modification on RNA plays an important role in tumorigenesis and metastasis, which could change gene expression and even function at multiple levels such as RNA splicing, stability, translocation, and translation. In this study, we aim to conduct a comprehensive analysis on m6A RNA methylation-related genes, including m6A RNA methylation regulators and m6A RNA methylation-modified genes, in liver hepatocellular carcinoma, and their relationship with survival and clinical features. Data, which consist of the expression of widely reported m6A RNA methylation-related genes in liver hepatocellular carcinoma from The Cancer Genome Atlas (TCGA), were analyzed by one-way ANOVA, Univariate Cox regression, a protein-protein interaction network, gene enrichment analysis, feature screening, a risk prognostic model, correlation analysis, and consensus clustering analysis.
View Article and Find Full Text PDFJ Mol Histol
February 2021
Department of Chemotherapy and Radiotherapy, The Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, 325027, Wenzhou City, Zhejiang, China.
Despite the efficacy of tamoxifen in preventing disease relapse, a large portion of breast cancer patients show intrinsic or acquired resistance to tamoxifen, leading to treatment failure and unfavorable clinical outcome. MYB proto-oncogene like 2 (MYBL2) is a transcription factor implicated in the initiation and progression of various human cancers. However, its role in tamoxifen resistance in breast cancer remained largely unknown.
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