The most frequent primary bone cancer in teenagers, osteosarcoma (OS), is particularly aggressive with a high mortality rate. By combining public databases, OS and non-cancer samples were obtained. The Wilcoxon test and standardized mean difference (SMD) were utilized to evaluate the mRNA expression level of TATA-box binding protein associated factor, RNA polymerase 1 subunit D (TAF1D). The potential of TAF1D to discriminate OS samples from non-cancer samples was revealed by summary receiver operating characteristic curve (sROC). To investigate the prognostic significance, Kaplan‒Meier curve and univariate Cox analysis were performed. Immunohistochemistry (IHC) was used to determine the TAF1D protein expression level. ESTIMATE algorithm and TIMER2.0 database were used to reveal the association between TAF1D expression and the immune microenvironment. Enrichment analysis and potential drug prediction were performed to clarify the underlying molecular mechanisms and possible therapeutic directions of TAF1D. Ultimately, the transcription factors (TFs) and the TAF1D binding site were predicted based on the Cistrome and JASPAR databases. TAF1D was upregulated in OS at the mRNA and protein levels and possessed robust discriminatory power. TAF1D upregulation was suggestive of worse prognosis and enhancement of tumor purity in OS patients. The cell cycle was the most significantly enriched pathway, and NU.1025 was considered to be the potential target agent. Finally, MYC was identified as a TF that regulates the expression of TAF1D. Altogether, TAF1D has the potential to serve as a biological marker and therapeutic target in OS, which could offer new perspectives for OS treatment.
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http://dx.doi.org/10.7150/jca.85688 | DOI Listing |
Sci Rep
December 2024
Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Randall's plaque (RP) is recognized as a precursor lesion for kidney stones, with its formation and progression potentially linked to oxidative stress. Previous studies have provided limited insights into the underlying mechanisms of RP, failing to fully elucidate its molecular pathways. To investigate the relationship between oxidative stress and RP, we employed bioinformatics approaches to identify key genes, predict associated pathways and drug molecules, analyze variations in immune cell populations, and construct diagnostic models.
View Article and Find Full Text PDFJ Transl Med
October 2024
Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India.
Background: Hyperactive RNA Polymerase I (Pol I) transcription is canonical in cancer, associated with malignant proliferation, poor prognosis, epithelial-mesenchymal transition, and chemotherapy resistance. Despite its significance, the molecular mechanisms underlying Pol I hyperactivity remain unclear. This study aims to elucidate the role of long noncoding RNAs (lncRNAs) in regulating Pol I transcription in lung adenocarcinoma (LUAD).
View Article and Find Full Text PDFCell Signal
December 2024
Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China. Electronic address:
Clear cell renal cell carcinoma (ccRCC) is a malignant tumor needs more effective treatments. TATA box-binding protein-associated factor RNA polymerase I subunit D (TAF1D) is a member of the selective factor 1 complex and functions in RNA polymerase I-dependent transcription. Higher TAF1D expression was found in ccRCC tumor tissues and indicated worse survival.
View Article and Find Full Text PDFCell Signal
July 2024
Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China. Electronic address:
Colorectal cancer, the third most prevalent malignant cancer, is associated with poor prognosis. Recent studies have investigated the mechanisms underlying cuproptosis and disulfidptosis in colorectal cancer. However, whether genes linked to these processes impact the prognosis of colorectal cancer patients through analogous mechanisms remains unclear.
View Article and Find Full Text PDFNumerous reference genes for use with quantitative reverse transcription polymerase chain reaction (RT-qPCR) have been used for oocytes, eggs, and preimplantation embryos. However, none are actually suitable because of their large variations in expression between developmental stages. To address this, we produced a standardized and merged RNA sequencing (RNAseq) data set by combining multiple publicly available RNAseq data sets that spanned mouse GV oocytes, MII eggs, and 1-cell, 2-cell, 4-cell, 8-cell, morula, and blastocyst stage embryos to identify transcripts with essentially constant expression across all stages.
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