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Given that myc was known to be a cancer-causing gene in several cancers including kidney renal clear cell carcinoma (KIRC). We aimed to construct myc-regulated genes (MRGs)-based prognostic signature. We obtained the mRNA expression and clinical data of KIRC from The Cancer Genome Atlas (TCGA) database and MRGs from the Molecular Signature Database (MSigDB). Then, a prognostic signature consisting of 8 MRGs (IRF9, UBE2C, YBX3, CDKN2B, CKAP2L, CYFIP2, FBLN5, and PDLIM7) was developed by differential expression analysis, cox regression analysis, and least absolute shrinkage and selection operator (lasso) analysis. Patients with KIRC were divided into high- and low-risk groups based on risk scores of MRGs-based signatures. Patients in the high-risk group showed inferior clinical characteristics and survival. In addition, the risk score was an independent prognostic factor for KIRC, and the risk score=based nomogram displayed satisfactory performance to predict the survival of KIRC. The MRGs-based signature is also correlated with immune cell infiltration and the mRNA expression of important immune checkpoints (IDO2, PDCD1, LAG3, FOXP3, and TIGIT). The tumor mutation burden (TMB) landscape between the high- and low-risk groups showed higher levels of TMB in the high-risk group than in the low-risk group and that higher levels of TMB predicted a poorer prognosis in KIRC. Furthermore, patients with KIRC in the high-risk group are more likely to experience immune escape. At last, we found patients with KIRC in the high-risk group were more sensitive to several chemotherapy drugs such as sunitinib, gefitinib, nilotinib, and rapamycin than patients with KIRC in the low-risk group. Our study successfully constructed and validated an MRGs-based signature that can predict clinical characteristics, prognosis, level of immune infiltration, and responsiveness to immunotherapy and chemotherapy drugs in patients with KIRC.
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http://dx.doi.org/10.1155/2022/3487859 | DOI Listing |
Background: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer and is associated with poor prognosis in advanced stages. This study aims to develop a prognostic model for patients with ccRCC based on a lysosome-related gene signature.
Methods: The clinical and transcriptomic data of Kidney Renal Clear Cell Carcinoma (KIRC) patients were downloaded from TCGA, cBioportal and GEO databases, and lysosome-related gene sets were acquired in the previous study.
Front Mol Biosci
August 2025
Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Background: Kidney renal clear cell carcinoma (KIRC) prognosis exhibits substantial heterogeneity even among patients with identical clinicopathological staging, reflecting the limitations of current classification systems. Therefore, the development of reliable prognostic tools may improve clinical evaluation of KIRC outcomes and facilitate personalized therapy optimization.
Methods: The KIRC data of GSE40435 and GSE46699 in the GEO database were immunologically grouped based on 29 immune gene sets through R language.
J Biol Chem
September 2025
Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, 238 Baidi Road, Tianjin 300192, China. Electronic address:
Accidental internal or external exposure to gamma radiation can cause severe injury to the human body. The identification of an effective medication target has become particularly important for the treatment of radiation-induced injury. In this work, Caenorhabditis elegans was found to tolerate high-dose radiation when exposed to an extremely low-temperature environment (at 4°C) for 4 hours before irradiation.
View Article and Find Full Text PDFJ Genet Eng Biotechnol
September 2025
Department of Biology, Geology and Environmental Science, University of Tennessee at Chattanooga, 615 McCallie Ave, Chattanooga, TN 37403, USA.
Kidney Renal Clear Cell Carcinoma (KIRC) is a leading cause of cancer death worldwide, but its early detection remains hindered by a lack of genetic markers. Our study aims to find prospective biomarkers that could serve as prognostic indicators and help in the identification of efficient drug candidates for KIRC treatment. Importantly, this study identifies the hub genes that play a crucial role in KIRC and their impact on male and female patients.
View Article and Find Full Text PDFCancer Cell Int
August 2025
Nephrology department, The First Affiliated Hospital of Jinzhou Medical University, Renmin Street, Jinzhou, 121000, Liaoning, China.
The aggressiveness of clear cell renal cell carcinoma (KIRC) plays a crucial role in patient prognosis. This study investigated the role of COL1A1 in KIRC progression and its underlying molecular mechanisms through bioinformatics analysis, in vitro experiments, and xenograft mouse models. COL1A1 expression was significantly upregulated in KIRC and correlated with poor patient outcomes.
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