Int Immunopharmacol
Departments of Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California. Electronic address:
Published: April 2024
Background: Kidney renal papillary cell carcinoma (KIRP) is frequently associated with an unfavorable prognosis for affected individuals. Unfortunately, there has been insufficient exploration in search for a reliable prognosis signature and predictive indicators to forecast outcomes for KIRP patients.
Aim: The aim of this study is to employ a comprehensive analysis of data for the identification of prognosis genes, leading to the development of a nomogram with strong predictive capabilities. The objective is to provide a valuable statistical tool that, when implemented in a clinical setting, can offer patients an early opportunity for treatment and enhance their chances of ultimate recovery from this life-threatening disease.
Methods: Different packages in R were used to analyze RNA-seq data from the TCGA data portal. Multivariate Cox regression analysis and Kaplan-Meier analysis were also used to investigate the prognostic values of immune-related genes and construct the predictive model and nomogram. A p-value < 0.05 was considered to be significant.
Results: A total of 368 immune-related genes and 60 TFs were identified as differentially expressed in KIRP tissues compared with normal tissues. Of the 368, 23 were found to be related to overall survival. GO and KEGG analysis suggested that these prognostic immune-related genes mainly participated in the ERK1 and ERK2 cascades, Rap1 signaling pathway, and the PI3K-Akt signaling pathway. 9 genes were identified from Cox regression to be statistically significant prognostic-related genes. Survival analysis showed that a model based on these 9 prognostic-related genes has high predictive performance. Immunohistochemistry results show that APOH, BIRC5, CCL19, and GRN were significantly increased in kidney cancer. B cells and CD4 + T cells were positively correlated with risk score model.
Conclusion: A prognostic model was successfully created based on 9 immune-related genes correlated with overall survival in KIRP. This work aims to provide some insight into therapeutic approaches and prognostic predictors of KIRP.
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http://dx.doi.org/10.1016/j.intimp.2024.111878 | DOI Listing |
JMIR Mhealth Uhealth
January 2025
Calydial, Vienne, France.
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Rev Inst Med Trop Sao Paulo
January 2025
Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Divisão de Clínica de Moléstias Infecciosas e Parasitárias, Laboratório de Investigação Médica em Imunologia (LIM-48), SSão Paulo, São Paulo, Brazil.
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January 2025
Department of Pediatrics, University of California, San Diego, 3020 Children's Way MC 5173, San Diego, CA, 92123, USA.
Proliferative Glomerulonephritis with Monoclonal IgG Deposits (PGNMID) is a glomerular disease characterized by membranoproliferative and mesangioproliferative lesions, with granular capillary wall monoclonal IgG positivity and immunoglobulin light chain restriction. Most commonly a disease of older adults, we present the case of an 18-year-old patient who developed de novo PGNMID in a kidney allograft three years after kidney transplantation. There was minimal proteinuria and no serum paraproteinemia was detected, so the patient was managed conservatively.
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View Article and Find Full Text PDFNano Lett
January 2025
NMR Signal Enhancement Group, Max Planck Institute for Multidisciplinary Sciences, 37077 Göttingen, Germany.
Deuterium (H) MRI is an emerging tool for noninvasive imaging. We explore the integration of H MRI with deuterated multifunctional nanopolymers for deuterated particle imaging (DPI). To this end, amine-terminated G5-polyamidoamine (PAMAM) dendrimers were labeled with deuterated acetyl surface groups, leading to highly H-loaded bioparticles, making them ideal for imaging studies.
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