Objective: This study aimed to assess the relative gene expression level of transforming growth factor-β1 (TGFB1) and haptoglobin (HP) in the peripheral blood of prostate cancer (PCa) patients and evaluate their diagnostic ability.
Methods: A total of 125 participants were enrolled in the present study. Among them, 75 PCa patients, 25 benign prostatic hyperplasia (BPH) patients, and 25 healthy volunteers served as the control group. The relative TGFB1 and HP gene expression level was quantified using real-time polymerase chain reaction. Further, free and total PSA levels were determined using electrochemiluminescence assays.
Results: TGFB1 was significantly over-expressed, whereas HP was significantly downregulated in the peripheral blood of PCa patients compared to BPH and control groups (p-value ranges from 0.034 to <0.001). Moreover, the high expression level of TGFB1 was associated with an increased risk of PCa development with OR=1.412 (95%CI: 1.081-1.869, p= 0.012). TGFB1 and HP relative expression levels had lower diagnostic performance to differentiate PCa from normal and BPH individuals compared to PSA, however, the combination of the tested parameters improved the diagnostic efficacy.
Conclusions: TGFB1 and HP relative expression have moderate diagnostic efficacy in discriminating patients with PCa from BPH and healthy subjects. Furthermore, over-expression of TGFB1 may contribute to the pathogenesis of PCa.
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http://dx.doi.org/10.31557/APJCP.2024.25.2.709 | DOI Listing |
Front Plant Sci
January 2025
College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
The HAK/KUP/KT (High-affinity K transporters/K uptake permeases/K transporters) is the largest and most dominant potassium transporter family in plants, playing a crucial role in various biological processes. However, our understanding of HAK/KUP/KT gene family in potato ( L.) remains limited and unclear.
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January 2025
College of Agriculture and Biology, Liaocheng University, Liaocheng, China.
The wall-associated kinase (WAK) gene family encodes functional cell wall-related proteins. These genes are widely presented in plants and serve as the receptors of plant cell membranes, which perceive the external environment changes and activate signaling pathways to participate in plant growth, development, defense, and stress response. However, the WAK gene family and the encoded proteins in soybean (Glycine max (L.
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January 2025
National Institute of Plant Biotechnology, Indian Council of Agricultural Research (ICAR), New Delhi, India.
The methylation- demethylation dynamics of RNA plays major roles in different biological functions, including stress responses, in plants. mA methylation in RNA is orchestrated by a coordinated function of methyl transferases (writers) and demethylases (Erasers). Genome-wide analysis of genes involved in methylation and demethylation was performed in pigeon pea.
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January 2025
Gynecologic Oncology Section, Stephenson Cancer Center, Obstetrics and Gynecology Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Background/objectives: Patients with ovarian cancer commonly experience metastases and recurrences, which contribute to high mortality. Our objective was to better understand ovarian cancer metastasis and identify candidate biomarkers and drug targets for predicting and preventing ovarian cancer recurrence.
Methods: Transcripts of 770 cancer-associated genes were compared in cells collected from ascitic fluid versus resected tumors of an ES-2 orthotopic ovarian cancer mouse model.
Int J Genomics
January 2025
Department of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing, China.
() is associated with the development of various stomach diseases, one of the major risk factors for stomach adenocarcinoma (STAD). The infection score between tumor and normal groups was compared by single-sample gene set enrichment analysis (ssGSEA). The key modules related to infection were identified by weighted gene coexpression network analysis (WGCNA), and functional enrichment analysis was conducted on these module genes.
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