Gene Expression Profiling of Gliomas Strongly Predicts Survival

By W. Freije, F. Castro-Vargas, Z. Fang, Steve Horvath, T. Cloughesy, L. Liau, P. Mischel, Stan F. Nelson. Cancer Research, 2004

748 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5558f85a127d4e99b3ad959db3c2c1810f55fbfa

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Citations in the corpus

A review of microarray datasets and applied feature selection methods (2014, neutral): “DLBCL 77 7129 75–25% [104] 2002 [124,81] [2,9] GLI-85 85 22,283 31–69% [40] 2004 [27] [5] Leukemia/ ALLAML 72 7129 35–65% [46] 1999 [39,101,107,71,124,11,86,24,25,27,73,85,31,120] [2,8]”
Glioblastoma: pathology, molecular mechanisms and markers (2015, positive): “This classification bares similarity to earlier sub-classification of prognostically relevant high-grade gliomas [47].”
An integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR and NF1 (2010, background): “…al., 2006) and gene expression profiling studies identifying gene signatures associated with EGFR overexpression, clinical features, and survival (Freije et al., 2004; Liang et al., 2005; Mischel et al., 2003; Murat et al., 2008; Nutt et al., 2003; Phillips et al., 2006; Shai et al., 2003; Tso…”
Comprehensive genomic characterization defines human glioblastoma genes and core pathways (2008, neutral): “Alfred Yung(11), Oliver Bogler(12), University of California San Francisco: Scott VandenBerg(9), Mitchel Berger(51), Michael Prados(51)”
Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression. (2005, methodology): “03; Figure 5C) and 56 gliomas (Freije et al., 2004) (p = 0.”
Current Challenges and Opportunities in Treating Glioblastoma (2018, methodology): “Gene expression association with poor overall survival was further validated by applying survival test statistics to samples from three independent GBM cohorts (Freije et al., 2004; Murat et al., 2008; Yu and Fu, 2015).”
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware (2019, methodology): “The GLI-85 dataset has 22,283 features and 85 samples.”
Stem cell-related "self-renewal" signature and high epidermal growth factor receptor expression associated with resistance to concomitant chemoradiotherapy in glioblastoma. (2008, methodology): “Similar HOX clusters can be identified in the Nelson and Aldape glioblastoma data sets.(14,15)”
Brain Tumor Epidemiology: Consensus from the Brain Tumor Epidemiology Consortium (BTEC) (2008, background): “stand tumor markers or patient characteristics that influence survival or response to treatment.(17,141-154) Histologic type and grade, age, extent of resection, tumor location, radiation therapy, and some chemother-”