@article{7a4967bd1e9b479189df8174d2f34d39,
title = "Transcriptional signaling pathways inversely regulated in Alzheimer's disease and glioblastoma multiform",
abstract = "Convincing epidemiological data suggest an inverse association between cancer and neurodegeneration, including Alzheimer's disease (AD). Since both AD and cancer are characterized by abnormal, but opposing cellular behavior, i.e., increased cell death in AD while excessive cell growth occurs in cancer, this motivates us to initiate the study into unraveling the shared genes and cell signaling pathways linking AD and glioblastoma multiform (GBM). In this study, a comprehensive bioinformatics analysis on clinical microarray datasets of 1,091 GBM and 524 AD cohorts was performed. Significant genes and pathways were identified from the bioinformatics analyses - in particular ERK/MAPK signaling, up-regulated in GBM and Angiopoietin Signaling pathway, reciprocally up-regulated in AD - connecting GBM and AD (P < 0.001), were investigated in details for their roles in GBM growth in an AD environment. Our results showed that suppression of GBM growth in an AD background was mediated by the ERK-AKT-p21-cell cycle pathway and anti-angiogenesis pathway.",
author = "Timothy Liu and Ding Ren and Xiaoping Zhu and Zheng Yin and Guangxu Jin and Zhen Zhao and Daniel Robinson and Xuping Li and Kelvin Wong and Kemi Cui and Hong Zhao and Wong, {Stephen T C}",
note = "Funding Information: This research is funded by NIH U54 CA149196, NIH R01 CA121225, TT & WF Chao Foundation grant and John S. Dunn Research Foundation grant to STCW. We thank Dr. Neal Copeland for providing comments on the manuscript, and Drs. James Mancuso and Rebecca Danforth for proofreading, Drs. Dennis Selkoe (Harvard Medical School) and Santosh Kesari (UC San Diego School of Medicine) for providing the 7PA2, U87VIII, and GL261 cell lines. All the microscopic imaging and ImageStream analysis were performed at Houston Methodist Research Institute{\textquoteright}s Advanced Cellular and Tissue Microscope Core Facility. We also acknowledge the computational time funding support from the Texas Advanced Computing Center (TACC; Project ID: TG-MCB110130) at the University of Texas in Austin and BlueBioU (IBM POWER 7 Bioscience Computing Core at Rice University) to access super-computing resources.",
year = "2013",
month = dec,
day = "10",
doi = "10.1038/srep03467",
language = "English (US)",
volume = "3",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "The Author(s) SN -",
}