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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (microRNA)

ABSTRACT: Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured microRNA expression of 43 OSCC cases with Agilent Human miRNA microarray rel12.0

ORGANISM(S): Homo sapiens

SUBMITTER: Jiexin Zhang

PROVIDER: E-GEOD-41115 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (mRNA)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured gene expression of 43 OSCC cases with the Affymetrix Human Exon 1.0 ST Array

2013-01-01 | E-GEOD-41116 | biostudies-arrayexpress

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (methylation)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured methylation of 42 OSCC tumors, 2 normal oral epithelial tissues, and 2 normal blood samples with Illumina HumanMethylation450 arrays

2013-01-01 | E-GEOD-41114 | biostudies-arrayexpress

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (mRNA)

2013-01-01 | GSE41116 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (microRNA)

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Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (methylation)

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Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2013-01-01 | E-GEOD-41117 | biostudies-arrayexpress

Gene Expression Profiling of Oral Squamous Cell Carcinoma

Project description:Gene Expression Profiling of Oral Squamous Cell Carcinoma (OSCC) was performed to delineate candidate genes clusters with potential to distinguish normal and tumor tissue from oral cavity. All tissue samples were collected after obtaining written informed consent. The RNA profile of 27 OSCC patients was compared with 4 independent controls and 1 pooled control oral cavity tissue from healthy donors. Agilent one-color experiment, Organism: Human, Agilent-014850 Whole Human Genome Microarray 4x44K G4112F

2011-10-29 | E-GEOD-23558 | biostudies-arrayexpress

Mutant p53 drives an immune cold tumor immune microenvironment in oral squamous cell carcinoma

Project description:The critical role of the tumor immune microenvironment (TIME) in determining response to immune checkpoint inhibitor (ICI) therapy underscores the importance of understanding cancer cell–intrinsic mechanisms driving immune-excluded (“cold”) TIMEs. One such cold tumor is oral cavity squamous cell carcinoma (OSCC), a tobacco-associated cancer with mutations in the TP53 gene which responds poorly to ICI therapy. Because altered TP53 function promotes tumor progression and plays a potential role in TIME modulation, here we developed a syngeneic OSCC models with defined Trp53 (p53) mutations and characterized their TIMEs and degree of ICI responsiveness. We observed that a carcinogen-induced p53 mutation promoted a cold TIME enriched with immunosuppressive M2 macrophages highly resistant to ICI therapy. p53-mutated cold tumors failed to respond to combination ICI treatment; however, the combination of a programmed cell death protein 1 (PD-1) inhibitor and stimulator of interferon genes (STING) agonist restored responsiveness. These syngeneic OSCC models can be used to gain insights into tumor cell–intrinsic drivers of immune resistance and to develop effective immunotherapeutic approaches for OSCC and other ICI-resistant solid tumors.

2022-05-04 | GSE201722 | GEO

Development of microRNA (miRNA) expression signatures for human glioma-initiating cells (GICs)

Project description:To identify a novel miRNA that is aberrantly expressed in GICs, we analyzed differences in miRNA expression between the human GICs and glioma cell lines and neural stem cells by miRNA microarrays. We examined the miRNA expression profiles of five human GICs that were obtained from human glioma samples and two human glioma cell lines, U87 and U251, and NSC (neural stem cells) as a control.

2015-04-07 | E-GEOD-61079 | biostudies-arrayexpress

Identification of salivary biomarkers for oral cancer with quantitative proteomics and two-phase verifying approaches

Project description:Oral cavity cancer is one of the most common cancer worldwide and oral cavity squamous cell carcinoma (OSCC) accounts for up to 90 percent of oral cancers. In Taiwan, OSCC is the fifth most common malignancy of male and causes more than 250 deaths per year. The poor outcome of OSCC patients is principally ascribed to the fact that this disease is often advanced at the time of diagnosis, suggesting that early detection and prevention of OSCC are urgently needed to reduce the cancer burden. Analysis of cancer-related body fluids is one of promising approaches to identify cancer-related molecules and biomarker candidates. To identify salivary biomarkers of OSCC, salivary samples of OSCC patients, individuals with oral potentially malignant disorders (OPMD), and healthy volunteers were collected. With isobaric tags for relative and absolute quantitation (iTRAQ)-based mass spectrometry (MS) analysis, 1838 proteins were identified. The levels of 102 proteins are found to be elevated in the saliva samples of OSCC patients compared to that of OPMD and healthy groups. To improve the feasibility of biomarkers, we used a two-phase verification to measure these candidates. Among them, salivary levels of AHSG, CFH, FGA, and SERPINA1 were determined to be significantly higher in the OSCC patients than in the healthy or in the OPMD group with both of MRM-MS and ELISA. Furthermore, the levels of these proteins were highly related to tumor size, lymph-node metastasis, and cancer stages. The results of this study not only provides a powerful strategy for verification of biomarker candidates, but also suggested that AHSG, CFH, FGA, and SERPINA1 could act as salivary biomarkers for OSCC detection.

2019-08-15 | PXD008655 | Pride

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