Urothelial carcinoma is the 9(th) most common cancer worldwide. Most urothelial tumors are non-muscle invasive on presentation. However, two-thirds of non-invasive bladder cancers will eventually recur with a 25% risk of progression to muscle-invasive bladder cancer. Tumor stage, histological grade and pathological invasion of blood vessels and lymphatic tissue are the main indicators for urothelial cancer prognosis. The gold standard for diagnosing bladder cancer is conventional white-light cystoscopy and biopsy. Urine cytology is a highly specific, sensitive test for high-grade tumors or carcinoma in situ (CIS). Urinary NMP22 has an overall sensitivity and specificity for detecting bladder cancer of 49% and 87%, respectively. However, there are false-positive results in the presence of urinary tract infection or hematuria. The detection of specific gene mutations related to urothelial cancers has been studied and employed to reproduce markers helpful for diagnosis. According to current studies, molecular markers can be used to predict tumor recurrence. From a prognostic point of view, new molecular markers have yet to be established as reliable indicators of tumor aggressiveness. We aimed to review the molecular markers with possible prognostic significance that have been discussed in the literature. This review examined the literature for various molecular markers under development for bladder cancer in an attempt to optimize patient care and reduce the costs of treating these patients.
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http://dx.doi.org/10.5152/tud.2014.60973 | DOI Listing |
Ann Gen Psychiatry
January 2025
Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Schizophrenia is one of the most debilitating mental illnesses affecting any age group. The mechanism and etiology of schizophrenia are extremely complex and multiple signaling pathways recruit genes implicated in the etiology of this disease. While the role of Wnt/β-catenin signaling in this disorder has been verified, the impact of long noncoding RNAs (lncRNAs) associated with this pathway has not been studied in schizophrenia.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China.
Background: Intestinal Behçet's syndrome (IBS) has high morbidity and mortality rates with serious complications. However, there are few specific biomarkers for IBS. The purposes of this study were to investigate the distinctive metabolic changes in plasma samples between IBS patients and healthy people, active IBS and inactive IBS patients, and to identify candidate metabolic biomarkers which would be useful for diagnosing and predicting IBS.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, 315010, China.
Colorectal cancer (CRC) is the third most prevalent malignancy and the second leading cause of cancer-related mortality worldwide, with an increasing shift towards younger age of onset. In recent years, there has been increasing recognition of the significance of tRNA-derived small RNAs (tsRNAs), encompassing tRNA-derived fragments (tRFs) and tRNA halves (tiRNAs). Their involvement in regulating translation, gene expression, reverse transcription, and epigenetics has gradually come to light.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Background: Existing cardiovascular risk prediction models still have room for improvement in patients with type 2 diabetes who represent a high-risk population. This study evaluated whether adding metabolomic biomarkers could enhance the 10-year prediction of major adverse cardiovascular events (MACE) in these patients.
Methods: Data from 10,257 to 1,039 patients with type 2 diabetes from the UK Biobank (UKB) and the German ESTHER cohort, respectively, were used for model derivation, internal and external validation.
J Transl Med
January 2025
Department of Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, China.
Background: Acute respiratory distress syndrome (ARDS) is a prevalent complication among critically ill patients, constituting around 10% of intensive care unit (ICU) admissions and mortality rates ranging from 35 to 46%. Hence, early recognition and prediction of ARDS are crucial for the timely administration of targeted treatment. However, ARDS is frequently underdiagnosed or delayed, and its heterogeneity diminishes the clinical utility of ARDS biomarkers.
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