Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UNIPROT:P10636 (tau protein)
 5,110 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Although the microtubule-associated protein tau is well studied in human neurodegeneration, the role of tau in neoplastic brain diseases is not well understood. Recently, studies have shown tau mRNA expression is associated with improved survival in human infiltrating gliomas. However, the biologic basis of this association is largely unexplored. Using 2 independent publicly available mRNA databases, we show that high tau mRNA expression is associated with improved patient survival in infiltrating gliomas. Higher tau protein expression is also associated with improved patient prognosis in infiltrating gliomas by immunohistochemical staining of tissue microarrays. This prognostic association is in part due to higher tau mRNA and protein expression in IDH-mutant infiltrating astrocytomas. Expression of tau in an IDH-wildtype glioblastoma cell line selectively impairs cell migration in assays designed to mimic tumor invasion. These findings suggest that tau expression is not only associated with IDH mutation status but also may contribute to improved patient outcomes by impairing tumor invasion.
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PMID:Increased Tau Expression Correlates With IDH Mutation in Infiltrating Gliomas and Impairs Cell Migration. 3218 6

Long noncoding RNA (lncRNA) plays a critical role in the development of tumors. The aim of our study was construction of a lncRNA signature model to predict breast cancer (BRCA) patient survival. We downloaded RNA-seq data and relevant clinical information from the Cancer Genome Atlas (TCGA) database. Differentially expressed lncRNA were computed using the "edgeR" package and subjected to the univariate and multivariate Cox regression analysis. Corresponding protein-coding genes were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis. Finally, 521 differentially expression lncRNA were obtained. We constructed a ten-lncRNA signature model (LINC01208, RP5-1011O1.3, LINC01234, LINC00989, RP11-696F12.1, RP11-909N17.2, CTC-297N7.9, CTA-384D8.34, CTC-276P9.4, and MAPT-IT1) to predict BRCA patient survival using the multivariate Cox proportional hazard regression model. The C-index was 0.712, and AUC scores of training, test, and entire sets were 0.746, 0.717, and 0.732, respectively. Univariate Cox regression analysis indicated that age, tumor status, N status, M status, and risk score were significantly related to overall survival in patients with BRCA. Further, the multivariate analysis showed that risk score and M status had outstanding independent prognostic values, both with p < 0.001. The Gene Ontology (GO) function and KEEG pathway analysis was primarily enriched in immune response, receptor binding, external surface of plasma membrane, signal transduction, cytokine-cytokine receptor interaction, and cell adhesion molecules (CAMs). Finally, we constructed a ten-lncRNA signature model that can serve as an independent prognostic model to predict BRCA patient survival.
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PMID:Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database. 3290 14


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