An unexplored consequence of epigenetic alterations associated with cancer is the ectopic expression of tissue-restricted genes. Here, a new strategy was developed to decipher genome-wide expression data in search for these off-context gene activations, which consisted first, in identifying a large number of tissue-specific genes normally epigenetically silenced in most somatic cells and second, in using them as cancer biomarkers on an on/off basis. Applying this concept to analyze whole-genome transcriptome data in lung cancer, we discovered a specific group of 26 genes whose expression was a strong and independent predictor of poor prognosis in our cohort of 293 lung tumours, as well as in two independent external populations. In addition, these 26 classifying genes enabled us to isolate a homogenous group of metastatic-prone highly aggressive tumours, whose characteristic gene expression profile revealed a high proliferative potential combined to a significant decrease in immune and signaling functions. This work illustrates a new approach for a personalized management of cancer, with applications to any cancer type.
Ectopic activation of germline and placental genes identifies aggressive metastasis-prone lung cancers.
Sex, Specimen part
View SamplesThe aim of this study was to identify new biomarkers and to investigate pathways involved in the progression of human carotid atheroma.
Identification of two genes potentially associated in iron-heme homeostasis in human carotid plaque using microarray analysis.
Specimen part, Disease, Disease stage, Subject
View SamplesPurpose: To evaluate the presence of a gene expression signature present before treatment as predictive of response to treatment with MAGEA3
Predictive gene signature in MAGE-A3 antigen-specific cancer immunotherapy.
Specimen part
View SamplesRNA-SEQ profiling of dopaminergic neurons from the substantia nigra pars compacta and ventral tegmental area regions of the mouse mid-brain Overall design: Murine midbrain dopaminergic neurons from the SNpc and VTA regions
Identification of neurodegenerative factors using translatome-regulatory network analysis.
No sample metadata fields
View SamplesRNA-SEQ of dopaminergic neurons from the mid-brain of mice that received one daily intraperitoneal injection of MPTP-HCl (30 mg/kg free base per day) or saline for five consecutive days. Samples were taken 4 days. Overall design: Murine midbrain dopaminergic neurons that were treated with MPTP-HCl
Identification of neurodegenerative factors using translatome-regulatory network analysis.
No sample metadata fields
View SamplesThis series contain time course microarray data from MCF10A-Myc cells treated with either ethanol or Dexamethasone for 30 min, 2 hr, 4 hr, and 24 hr. This series contains three biological replicates that were analyzed as independent replicate experiments (data were normalized within each replicate experiment, not across all samples).
Glucocorticoid receptor activation signals through forkhead transcription factor 3a in breast cancer cells.
Age
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of a gene expression driven progression pathway in myxoid liposarcoma.
Sex, Age, Specimen part
View SamplesFUS-CHOP and EWS-CHOP balanced translocations characterize myxoid liposarcoma which encompasses myxoid (ML) and round cell (RC) variants initially believed to be distinct diseases. Currently, myxoid and RC liposarcoma are regarded to represent the well differentiated and the poorly differentiated ends, respectively, within spectrum of myxoid liposarcoma where the fusion proteins blocking lipogenic differentiation play a role in tumor initiation while molecular determinants associated to progression to RC remain poorly understood. Activation of AKT pathway sustained by PIK3CA and PTEN mutations and growth factor receptor signalling such as RET and IGF1R have been recently correlated with the increasing of aggressiveness and RC. Aim of the present study is to elucidate molecular events involved in driving round cell progression analyzing two small series of MLS selected to be representative of the two end of the gamut: the pure myxoid (0% of RC component) and RC with high cellular component (80%).
Identification of a gene expression driven progression pathway in myxoid liposarcoma.
Sex, Age, Specimen part
View SamplesNeuronal function critically depends on coordinated subcellular distribution of mRNAs. Disturbed mRNA processing and axonal transport has been found in spinal muscular atrophy and could be causative for dysfunction and degeneration of motoneurons. Despite the advances made in characterizing the transport mechanisms of several axonal mRNAs, an unbiased approach to identify the axonal repertoire of mRNAs in healthy and degenerating motoneurons has been lacking. Here we used compartmentalized microfluidic chambers to investigate the somatodendritic and axonal mRNA content of cultured motoneurons by microarray analysis. In axons, transcripts related to protein synthesis and energy production were enriched relative to the somatodendritic compartment. Knockdown of Smn, the protein deficient in spinal muscular atrophy, produced a large number of transcript alterations in both compartments. Transcripts related to immune functions, including MHC class I genes, and with roles in RNA splicing were upregulated in the somatodendritic compartment. On the axonal side, transcripts associated with axon growth and synaptic activity were downregulated. These alterations provide evidence that subcellular localization of transcripts with axonal functions as well as regulation of specific transcripts with nonautonomous functions is disturbed in Smn-deficient motoneurons, most likely contributing to the pathophysiology of spinal muscular atrophy.
Subcellular transcriptome alterations in a cell culture model of spinal muscular atrophy point to widespread defects in axonal growth and presynaptic differentiation.
Specimen part
View SamplesThe transcriptomic changes induced in the human liver cell line HepG2 by 100M menadione, 200M TBH or 50M H2O2 after treatment for 0.5, 1, 2, 4, 6, 8 and 24h.
Time series analysis of oxidative stress response patterns in HepG2: a toxicogenomics approach.
Cell line
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