Background: Renal transplantation (RTx) is the treatment of choice for end-stage renal failure, but these patients are increasingly older and have additional conditions leading to high mortality after RTx. The aim of our study was to validate a Spanish prognostic function that estimates survival in Hungarian renal transplant recipients.
Methods: We estimated the 5-year survival of 339 patients who received a cadaver kidney between 1 January 1991 and 15 September 2004 at the Center of Transplantation, Medical and Health Science Centre, University of Debrecen, and who were followed up until death or 15 September 2009. To assess the calibration, we used the Hosmer-Lemeshow test to compare the observed and expected numbers of deaths in the deciles of the predicted 5-year risk of death. Additionally, we applied a smoother to obtain a nonparametric estimate of the 5-year cumulative incidence of death by robust locally weighted regression. To describe the discriminative power of the function, we calculated the area under the receiver operating characteristic (ROC) curve.
Results: The range of the estimated 5-year risk of death was 7%-100%. In the high-risk groups, the function severely overestimated the risk of death. The area under the ROC curve was 0.65 (95% confidence interval, 0.60-0.70).
Conclusions: The poor performance of the prognostic function studied limits its clinical applicability.
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http://dx.doi.org/10.5301/JN.2011.8354 | DOI Listing |
Curr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
Endocr Metab Immune Disord Drug Targets
January 2025
Department of Laboratory Medicine, Taizhou First People's Hospital, Huangyan Hospital of Wenzhou Medical University, Taizhou, Zhejiang, China.
Aim: The aim of this study is to examine the role of the microrchidia (MORC) family, a group of chromatin remodeling proteins, as the therapeutic and prognostic markers for colorectal cancer (CRC).
Background: MORC protein family genes are a highly conserved nucleoprotein superfamily whose members share a common domain but have distinct biological functions. Previous studies have analyzed the roles of MORCs as epigenetic regulators and chromatin remodulators; however, the involvement of MORCs in the development and pathogenesis of CRC was less examined.
Cancer Med
January 2025
Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.
Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.
Breast Cancer (Dove Med Press)
January 2025
The Second Surgical Department of Breast Cancer, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China.
Purpose: Cell division cycle protein 45 (CDC45) plays a crucial role in DNA replication. This study investigates its role in breast cancer (BC) and its impact on tumor progression.
Methods: We utilized the GEO database to screen differentially expressed genes (DEGs) and conducted enrichment analysis on these genes.
World J Gastroenterol
January 2025
Department of General Surgery, Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin 300052, China.
Background: Regulator of G protein signaling (RGS) proteins participate in tumor formation and metastasis by acting on the α-subunit of heterotrimeric G proteins. The specific effect of RGS, particularly , on the progression of gastric cancer (GC) is not yet clear.
Aim: To explore the role and underlying mechanisms of action of in GC development.
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