Aberrations in the Iron Regulatory Gene Signature Are Associated with Decreased Survival in Diffuse Infiltrating Gliomas

Autor: James R. Connor, Jennifer Weston, Steven A. Toms, Nicholas F. Marko, Cody Weston, Joe Klobusicky
Jazyk: angličtina
Rok vydání: 2016
Předmět:
0301 basic medicine
Male
Pathology
Gene Expression
lcsh:Medicine
Kaplan-Meier Estimate
Transcriptome
Diffusion
Prostate cancer
0302 clinical medicine
Mathematical and Statistical Techniques
Breast Tumors
Medicine and Health Sciences
Blastomas
lcsh:Science
Neurological Tumors
Regulator gene
Regulation of gene expression
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Glioma
Genomics
Phenotype
Chemistry
Oncology
Neurology
030220 oncology & carcinogenesis
Physical Sciences
Statistics (Mathematics)
Algorithms
Research Article
Chemical Elements
medicine.medical_specialty
Iron
Biology
Research and Analysis Methods
03 medical and health sciences
Breast cancer
Breast Cancer
medicine
Genetics
Humans
Gene Regulation
Statistical Methods
Gene
Retrospective Studies
lcsh:R
Cancers and Neoplasms
Biology and Life Sciences
medicine.disease
030104 developmental biology
Cancer research
lcsh:Q
Glioblastoma Multiforme
Mathematics
Forecasting
Zdroj: PLoS ONE, Vol 11, Iss 11, p e0166593 (2016)
PLoS ONE
ISSN: 1932-6203
Popis: Iron is a tightly regulated micronutrient with no physiologic means of elimination and is necessary for cell division in normal tissue. Recent evidence suggests that dysregulation of iron regulatory proteins may play a role in cancer pathophysiology. We use public data from The Cancer Genome Atlas (TCGA) to study the association between survival and expression levels of 61 genes coding for iron regulatory proteins in patients with World Health Organization Grade II-III gliomas. Using a feature selection algorithm we identified a novel, optimized subset of eight iron regulatory genes (STEAP3, HFE, TMPRSS6, SFXN1, TFRC, UROS, SLC11A2, and STEAP4) whose differential expression defines two phenotypic groups with median survival differences of 52.3 months for patients with grade II gliomas (25.9 vs. 78.2 months, p< 10-3), 43.5 months for patients with grade III gliomas (43.9 vs. 87.4 months, p = 0.025), and 54.0 months when considering both grade II and III gliomas (79.9 vs. 25.9 months, p < 10-5).
Databáze: OpenAIRE