In recent years, the incidence of PCa in China has been increasing year by year. Early diagnosis of the malignancy and monitoring of its progression are keys to the reduction of mortality. Currently, early diagnosis of PCa is mainly achieved by determining the level of PSA. Due to the insufficient specificity of PSA, definite diagnosis necessitates needle biopsy, which, as an invasive procedure, causes injury to the patients. Therefore biomarkers seem to be a significant option for the improvement of diagnostic accuracy. Exosomes are 30－150 nm extracellular vesicles secreted by various types of cells in normal and pathological conditions and exist stably in circumcision. Studies show that exosomes contain miRNAs and proteins critical to the progression and metastasis of PCa and have a great potential in the diagnosis of the malignancy. This review outlines the advances in the application of exosomes as novel biomarkers in the diagnosis of PCa.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Sperm DNA fragmentation index: limited effectiveness on predicting embryo quality in assisted reproduction technology treatments.
Reprod Biol Endocrinol
January 2025
Reproductive Medicine Center, Zhuhai Maternal and Child Health Care Hospital, 543 Ningxi Road, Zhuhai, 519000, China.
Purpose: Prior sperm DNA fragmentation index (DFI) thresholds for diagnosing male infertility and predicting assisted reproduction technology (ART) outcomes fluctuated between 15 and 30%, with no agreed standard. This study aimed to evaluate the impact of the sperm DFI on early embryonic development during ART treatments and establish appropriate DFI cut-off values.
Methods: Retrospectively analyzed 913 couple's ART cycles from 2021 to 2022, encompassing 1,476 IVF and 295 ICSI cycles, following strict criteria.
Warrick score in rheumatoid-arthritis interstitial lung disease: a promising tool for assessing the extent and progression of lung involvement.
Adv Rheumatol
January 2025
Division of Rheumatology, Department of Internal Medicine, Kocaeli University Faculty of Medicine, İzmit, Kocaeli, 41380, Turkey.
Background: The clinical manifestations and course of rheumatoid arthritis-associated interstitial lung disease (RA-ILD) exhibits considerable heterogeneity. In this study, we aimed to explore radiographic progression over a defined period, employing the Warrick score as a semi-quantitative measure in early RA-ILD, and to assess the associated risk factors for progression.
Methods: RA-ILD patients underwent consecutive Warrick scoring based on initial high-resolution computed tomography (HRCT) at diagnosis and the first follow-up.
Reticulocyte hemoglobin content: a new frontier in iron deficiency diagnostics for major surgical patients.
BMC Anesthesiol
January 2025
University Hospital Würzburg, Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, Würzburg, Germany.
Background: Iron deficiency (ID) is the most common nutritional deficiency among patients undergoing major surgery. Treatment of ID is straightforward, however implementing a comprehensive anemia management strategy within clinical routines is complex. Recently, reticulocyte hemoglobin content (Ret-He) has been evaluated as an early marker for ID diagnosis.
View Article and Find Full Text PDFPredicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers.
BMC Anesthesiol
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang St, Chengdu, 610041, Sichuan, China.
Objective: Early diagnosis of intensive care unit-acquired weakness (ICUAW) is crucial for improving the outcomes of critically ill patients. Hence, this study was designed to identify predisposing factors for ICUAW and establish a predictive model for the early diagnosis of ICUAW.
Methods: This prospective observational multicenter study included septic patients from the comprehensive ICUs of West China Hospital of Sichuan University and 10 other hospitals between September and November 2023.
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification.
NPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!