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GSE26549
Homo sapiens
86 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Patients with oral preneoplastic lesion (OPL) have high risk of developing oral cancer. Although certain risk factors such as smoking status and histology are known, our ability to predict oral cancer risk remains poor. The study objective was to determine the value of gene expression profiling in predicting oral cancer development. Gene expression profile was measured in 86 of 162 OPL patients who were enrolled in a clinical chemoprevention trial that used the incidence of oral cancer development as a prespecified endpoint. The median follow-up time was 6.08 years and 35 of the 86 patients developed oral cancer over the course. Gene expression profiles were associated with oral cancer-free survival and used to develope multivariate predictive models for oral cancer prediction.
Publication Title
Gene expression profiling predicts the development of oral cancer.
Sample Metadata Fields
Sex, Age, Race
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
A better understanding of molecular changes during oral tumorigenesis may help defining new personalized prevention strategies. In order to test this hypothesis, we analyzed whole-genome expression changes in a murine model of oral carcinogenesis, induced by an oral carcinogen (4-NQO)
Publication Title
The dynamics of gene expression changes in a mouse model of oral tumorigenesis may help refine prevention and treatment strategies in patients with oral cancer.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 391 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Gene expression alterations in response to cigarette smoke have been characterized in normal-appearing bronchial epithelium of healthy smokers and it has been suggested that adjacent histologically normal tissue display tumor-associated molecular abnormalities.
Publication Title
Characterizing the molecular spatial and temporal field of injury in early-stage smoker non-small cell lung cancer patients after definitive surgery by expression profiling.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 22 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Mutant KRAS (mut-KRAS) is present in 30% of all human cancers and plays a critical role in cancer cell growth and resistance to therapy. There is evidence from colon cancer that mut-KRAS is a poor prognostic factor and negative predictor of patient response to molecularly targeted therapy. However, evidence for such a relationship in non small cell lung cancer (NSCLC) is conflicting. KRAS mutations are primarily found at codons 12 and 13, where different base changes lead to alternate amino acid substitutions that lock the protein in an active state. The patterns of mut-KRas amino acid substitutions in colon cancer and NSCLC are quite different, with aspartate (D) predominating in colon cancer (50%) and cysteine (C) in NSCLC (47%).
Publication Title
Effect of KRAS oncogene substitutions on protein behavior: implications for signaling and clinical outcome.
Sample Metadata Fields
Sex, Disease, Treatment, Race
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Study of HP1 Knock Down on gene expression and splicing regulation in Human HeLa cells
Publication Title
Histone H3 lysine 9 trimethylation and HP1γ favor inclusion of alternative exons.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A stemness-related ZEB1-MSRB3 axis governs cellular pliancy and breast cancer genome stability.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Aberrant cell proliferation, a hallmark of most cancers, requires the escape from intrinsic antitumour barriers. Primary among these is the DNA damage response (DDR). In both cell culture-models and in early stages of tumorigenesis in vivo, activated oncogenes induce DNA replication stress and DNA double-strand breaks (DSBs), leading to DDR activation and p53-dependent apoptosis and/or senescence. The means by which tumour-initiating cells, also termed cancer stem cells (CSCs), circumvent this oncosuppressive response is unknown. Here we demonstrate that the ZEB1 transcription factor provides breast CSCs with the ability to withstand an aberrant mitogenic activity. Its forced expression in human mammary epithelial cells is sufficient to alleviate DNA replicative stress and to decrease the production of reactive oxygen species, an important contributor to DDR and oncogene-induced senescence. Consistently, human breast cancer cells with endogenous ZEB1 expression show two characteristic features: low levels of DSBs and DDR markers, reflecting mitigation of the DNA replication stress, and a low p53 mutation frequency, reflecting a weak selective pressure for inactivation. Using high-throughput sequencing analysis of controlled cellular models, we further demonstrate that ZEB1 delays the onset of structural chromosomal instability (CIN), a known consequence of replicative stress and prevents the emergence of chromosome 8p deletions and 8q amplifications, two prevalent abnormalities in high-grade breast cancers. Supporting these findings, ZEB1 expression discriminates human breast tumours by their copy number alterations (CNAs) and chromosome 8 aberrations. We propose that the tumorigenic potential of CSCs relies upon their unique capacity to tolerate oncogenic stimuli through the alleviation of DNA replication stress.
Publication Title
A stemness-related ZEB1-MSRB3 axis governs cellular pliancy and breast cancer genome stability.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 130 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Epithelial/mesenchymal transition (EMT) is associated with loss of cell adhesion molecules, such as E-cadherin, and increased invasion, migration, and proliferation in epithelial cancers. In non-small cell lung cancer (NSCLC), EMT is associated with greater resistance to EGFR inhibitors. However, its potential to predict response to other targeted drugs or chemotherapy has not been well characterized. The goal of this study was to develop a robust, platform-independent EMT gene expression signature and to investigate the association of EMT and drug response in NSCLC.
Publication Title
An epithelial-mesenchymal transition gene signature predicts resistance to EGFR and PI3K inhibitors and identifies Axl as a therapeutic target for overcoming EGFR inhibitor resistance.
Sample Metadata Fields
Sex, Disease, Treatment, Race
View Samples- Xenopus laevis
- 20 Downloadable Samples
- Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)
Description
The transcription factors Pax3 and Zic1 are among the earliest genes activated at the neural plate border. Pax3 and Zic1 in combination promote neural crest fate, while Zic1 alone regulate cranial placode progenitor formation. We used microarrays to identify the global repertoire of genes activated by these facors individually or in combination to gain insights into the molecular mechanisms underlying cell fate decision at the neural plate border.
Publication Title
Identification of Pax3 and Zic1 targets in the developing neural crest.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
SOCS1 plays a role in cellular senescence. Knocking down SOCS1 in senescence induced by the STAT5 oncogene results in senescence bypass by preventing p53 activation
Publication Title
SOCS1 regulates senescence and ferroptosis by modulating the expression of p53 target genes.
Sample Metadata Fields
No sample metadata fields
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