Objective: To identify and validate novel prognostic marker genes in clear cell renal cell carcinoma (RCC) that are increasingly expressed during tumor progression.
Methods: Total RNA was isolated from normal renal tissue, primary G1 and G3 tumors, 14 samples each, and 32 metastases from RCC patients. Expression profiles were created using oligonucleotide microarrays. Significant gene expression differences (P < .05) were identified among normal kidney, primary tumor, and metastases. For all filtered genes, univariate survival analysis was carried out. Genes for which lower expression was significantly associated with longer survival were further analyzed using multivariate analysis. Expression of the best candidate markers was further validated in an independent cohort of 55 primary tumors using quantitative real-time polymerase chain reaction.
Results: Fifty-nine genes exhibited increased expression in primary RCC compared with normal kidney, and in metastases compared with primary tumors. In univariate or multivariate survival analysis, upregulation of 15 genes was significant. Expression of 8 genes was validated by quantitative real-time polymerase chain reaction. Survival analysis in an independent cohort of 55 RCC patients based on expression in primary RCC showed that TOP2A (hazard ratio [HR] = 4.3, P = .005), HELLS (HR = 3.7, P = .007), ATAD2 (HR = 3.7, P = .019), and TET3 (HR = 2.8, P = .035) represent independent predictors for cancer-specific survival. The proteins encoded by these genes function as topoisomerase, helicase, chromatin modifier, and methyl cytosine dioxygenase, respectively. They are involved in proliferation, transcription, and epigenetic modification.
Conclusion: High mRNA levels of TOP2A, HELLS, ATAD2, and TET3 are independent predictors of poor outcome in RCC patients and may be used for individual risk-adapted therapy in the future.
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http://dx.doi.org/10.1016/j.urology.2016.12.050 | DOI Listing |
Discov Oncol
January 2025
Department of Gastrointestinal Surgery, Yantai Yuhuangding Hospital, Qingdao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264001, China.
Background: Gastric cancer (GC) remains a significant health burden, calling for the discovery of novel biomarkers. Golgi apparatus, a crucial cellular organelle involved in tumorigenesis, remains underexplored in GC research. A comprehensive understanding of its role and associated mechanisms is urgently needed.
View Article and Find Full Text PDFBlood
January 2025
Umeå University, Department of Medical Biosciensces, Department of Clinical Microbiology, Umeå, Sweden.
Current intensive treatment of pediatric T-cell acute lymphoblastic leukemia (T-ALL) has substantial side-effects, highlighting a need for novel biomarkers to improve risk stratification. Canonical biomarkers such as genetics and immunophenotype are largely not used in pediatric T-ALL stratification. This study aimed to validate the prognostic relevance of DNA methylation CpG island methylator phenotype (CIMP) risk stratification in two pediatric T-ALL patient cohorts: the Nordic NOPHO ALL2008 T-ALL study cohort (n=192) and the Dutch DCOG ALL-10/ALL-11 validation cohorts (n=156).
View Article and Find Full Text PDFExpert Rev Respir Med
January 2025
Division of Pulmonary & Critical Care Medicine, Mayo Clinic, Rochester MN, USA.
Introduction: Amyloidosis, a polymeric deposition disease classified according to protein subtype, may have varied pulmonary manifestations. Its anatomic-radiologic phenotypes include nodular, cystic, alveolar-septal, and tracheobronchial forms. Clinical presentation may range from asymptomatic parenchymal nodules to respiratory failure from diffuse parenchymal infiltration or diaphragmatic deposition.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Digestive Endoscopy, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Background: Altered glucose metabolism is a critical characteristic from the beginning stage of esophageal squamous cell carcinoma (ESCC), and the phenomenon is presented as a pink-color sign under endoscopy after iodine staining. Therefore, calculating the metabolic score based on the glucose metabolic gene sets may bring some novel insights, enabling the prediction of prognosis and the identification of treatment choices for ESCC.
Methods: A total of 8, 99, and 140 individuals from The Gene Expression Omnibus database, The Cancer Genome Atlas database, and the Memorial Sloan Kettering Cancer Center, respectively, were encompassed in the investigation.
Front Neurosci
January 2025
Department of Neurology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Mild cognitive impairment in Parkinson's disease (PD-MCI) as an independent risk factor for dementia in Parkinson's disease has prognostic value in predicting dementia in PD patients. It was found that the calculation of cognitive function decision-making could better evaluate the cognitive function of PD-MCI. Therefore, this study explored deficits in decision-making cognitive function in PD-MCI population, and mined novel digital biomarkers for recognizing early cognitive decline in PD-MCI through an independently designed maze decision-making digital assessment paradigm.
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