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Advancements in pseudouridine modifying enzyme and cancer.
Front Cell Dev Biol
December 2024
Department of Oncology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, Henan, China.
Pseudouridine (Ψ) is a post-transcriptional modifier of RNA, often referred to as the 'fifth nucleotide' owing to its regulatory role in various biological functions as well as because of its significant involvement in the pathogenesis of human cancer. In recent years, research has revealed various Ψ modifications in different RNA types, including messenger RNA, transfer RNA, ribosomal RNA, small nuclear RNA, and long noncoding RNA. Pseudouridylation can significantly alter RNA structure and thermodynamic stability, as the Ψ-adenine (A) base pair is more stable than the typical uridine (U)-A base pair is due to its structural similarity to adenine.
View Article and Find Full Text PDFClinical assessment of urinary prostate cancer antigen 3 in Chinese population: a large-scale, prospective and multicenter study.
World J Surg Oncol
December 2024
Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: To assess the clinical utility of PCA3 in the diagnostic accuracy, the correlation between PCA3 and biopsy or pathological characteristics and the performance of PCA3 to reduce the unnecessary biopsies in Chinese population.
Methods: A prospective study including patients with indication of prostate biopsies from 4 centers was conducted. All patients underwent PCA3 urine tests and prostate biopsies.
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features.
BMC Med Imaging
December 2024
Department of MRI, Xinxiang Central Hospital (The Fourth Clinical College of Xinxiang Medical University), 56 Jinsui Road, Xinxiang, Henan, 453000, China.
Background: To develop and validate an interpretable machine learning model based on intratumoral and peritumoral radiomics combined with clinicoradiological features and metabolic information from magnetic resonance spectroscopy (MRS), to predict clinically significant prostate cancer (csPCa, Gleason score ≥ 3 + 4) and avoid unnecessary biopsies.
Methods: This study retrospectively analyzed 350 patients with suspicious prostate lesions from our institution who underwent 3.0 Tesla multiparametric magnetic resonance imaging (mpMRI) prior to biopsy (training set, n = 191, testing set, n = 83, and a temporal validation set, n = 76).
Androgen deprivation therapy use and the risk of heart failure in patients with prostate cancer: a systematic review and meta-analysis.
BMC Cardiovasc Disord
December 2024
School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Background & Aim: We aimed in this study to investigate the relationship between Androgen Deprivation Therapy (ADT) use and the risk of heart failure in patients with prostate cancer. In this research, the negative or positive effects of ADT in the development of cardiovascular diseases or its exacerbation in people with prostate cancer have been investigated.
Materials And Methods: For this research, we reviewed articles from PubMed, Scopus, and Google Scholar databases until February 2024.
Synthetic diffusion-weighted imaging in prostate cancer diagnosis: a comparison study with different B-value combinations.
Clin Radiol
December 2024
Department of Radiology, The Second Affiliated Hospital of Nanjing Medical University, Nan Jing, PR China. Electronic address:
Aim: To evaluate the impact of different b-value combinations on synthetic diffusion-weighted imaging (sDWI) and determine the sDWI with an optimal b-value combination for prostatic cancer (PCa) diagnosis.
Material And Methods: A retrospective analysis of 68 patients with abnormal prostate-specific antigen (PSA) was conducted. The sDWI images with b value of 1500 s/mm were separately reconstructed by the following five b-value combinations: b=0, 200s/mm (sDWI); b=600, 800s/mm (sDWI); b=0, 600s/mm (sDWI); b=200, 800s/mm sDWI); b=0, 800s/mm (sDWI).
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