A growing body of evidence suggests that prostate-specific antigen (PSA) is a novel prognostic factor for breast cancer. The molecular mechanism of variant PSA expression in breast cancer has remained poorly understood in spite of intensive research. Previous studies have shown that the coding region of the PSA gene is not a target for mutations in prostate cancer and breast cancer. The purpose of this study was to analyze genetic variations in the promoter region of the PSA gene, and to detect whether such variations are correlated with PSA mRNA expression in breast tumors. We identified two polymorphisms in the proximal promoter region of the PSA gene. These polymorphisms are located at positions -252 (G or A) and -205 (A or AA), and generate three genotypes. The genotypes were associated with PSA mRNA expression. Our findings suggest that these polymorphisms identified in the proximal promoter region may affect the transcriptional activity of PSA.
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http://dx.doi.org/10.1007/s100380070009 | DOI Listing |
Gene
December 2024
Department of General Biology, State University of Londrina, Londrina, Paraná, Brazil. Electronic address:
MicroRNAs can be found intracellularly incorporated into extracellular vesicles (EV-miRNAs) or extracellularly as cell-free miRNAs (cf-miRNAs). This study aimed to compare the diagnostic and prognostic potential of four miRNAs with recognized roles in prostate cancer as cf-miRNAs and EV-miRNAs, obtained from liquid biopsies (LB). Total RNA was isolated from whole plasma and plasma EVs from 15 controls (CTR) and 30 patients (20 with localized prostate cancer (PCa), 10 with metastatic prostate cancer (mPCa)).
View Article and Find Full Text PDFJ Nanobiotechnology
December 2024
Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, Department of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Rheumatoid arthritis (RA) is an autoimmune disorder characterized by painful swelling and inflammation, arising from the immune system attacking on healthy cells. However, arthritic sites often experience increased lymph flow, hastening drug clearance and potentially reducing treatment effectiveness. To address this challenge, an in situ size amplification has been proposed to reduce lymphatic clearance and thereby enhance arthritis therapy.
View Article and Find Full Text PDFBMC Plant Biol
December 2024
National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crop/ Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
Background: NDR1/HIN1-like (NHL) genes play crucial roles in Psa resistance. Kiwifruit canker, caused by Pseudomonas syringae pv. Actinidiae (Psa) infection is one of the most serious diseases affecting the kiwifruit industry.
View Article and Find Full Text PDFCells
December 2024
Vancouver Prostate Centre, Department of Urological Sciences, University of British Columbia, Vancouver, BC V6H 3Z6, Canada.
Neuroendocrine prostate cancer (NEPC), an aggressive and lethal subtype of prostate cancer (PCa), often arises as a resistance mechanism in patients undergoing hormone therapy for prostate adenocarcinoma. NEPC is associated with a significantly poor prognosis and shorter overall survival compared to conventional prostate adenocarcinoma due to its aggressive nature and limited response to standard of care therapies. This transdifferentiation, or lineage reprogramming, to NEPC is characterised by the loss of androgen receptor (AR) and prostate-specific antigen (PSA) expression, and the upregulation of neuroendocrine (NE) biomarkers such as neuron-specific enolase (NSE), chromogranin-A (CHGA), synaptophysin (SYP), and neural cell adhesion molecule 1 (NCAM1/CD56), which are critical for NEPC diagnosis.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan City 320315, Taiwan.
Accurate classification in cancer research is vital for devising effective treatment strategies. Precise cancer classification depends significantly on selecting the most informative genes from high-dimensional datasets, a task made complex by the extensive data involved. This study introduces the Two-stage MI-PSA Gene Selection algorithm, a novel approach designed to enhance cancer classification accuracy through robust gene selection methods.
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