Gene expression profiles affected by Sam68-knockdown in oral squamous cell carcinoma cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE202136 | GEO | 2022/07/28
REPOSITORIES: GEO
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Project description:Gene expression profiles affected by Sam68-knockdown in oral squamous cell carcinoma cells
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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.
2011-10-30 | GSE23558 | GEO
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
Project description:An investigation of canine oral squamous cell carcinomas
2024-06-30 | PRJEB77007 | EVA
Project description:Array Comparative Genomic Hybridization (CGH) profiling of Oral Leukoplakia (OPL) and early stage Oral Squamous Cell Carcinoma (OSCC) was performed to delineate candidate non-random chromosomal loci associated with disease progression and clinico-pathological parameters. The array CGH hybridizations were performed for 24 OPL and 38 OSCC samples with pooled gender matched controls. All tissue samples were collected after obtaining written informed consent.
2017-04-26 | GSE85514 | GEO
Project description:Gene Expression Profiling of Oral Leukoplakia (OPL) and Early Stage Oral Squamous Cell Carcinoma (OSCC) was performed to delineate candidate gene/s clusters with potential to distinguish normal, OPL and tumor tissue from Gingivobuccal complex. All tissue samples were collected after obtaining written informed consent. The RNA profile of 15 OPL and 34 OSCC samples was compared with 1 independent controls Gingivobuccal complex tissue from healthy donors.
2017-04-26 | GSE85195 | GEO
Project description:Oral squamous cell carcinoma (OSCC) is a main reason of oral cancer mortality and morbidity. Cancer of oral cavity in central south Asia, ranks among third most common kinds of cancer. The discovery of candidate markers to differentiate normal from malignant cells in clinical diagnosis of OSCC would be of critical importance because this malignancy has poor prognosis. To improve the clinical outcome in OSCC patients, the present study was aimed at identifying robust candidate biomarkers for early OSCC diagnosis and to enhance understanding of the mechanisms of disease progression and pathogenesis. Of particular interest are proteins that can be found in tissue lysates of OSCC tumor vs normal adjacent mucosa samples and secreted in cell line Secretomes of HNSCC for non-invasive detection. We analysed 17 paired human malignant OSCC tissues and normal adjacent tissue in addition to secretomes of 9 HNSCC cell lines. The proteome dataset of OSCC and normal tissues consisted of 5,123 protein groups, including 299 proteins with strong differential expression (p-value <0.01, fold change barrier to ?+2 and <-2, 205 upregulated and 94 down regulated) and 134 common proteins were also found out of total dataset of 4473 identified proteins of HNSCC cell line secretomes. Functional data analysis revealed that these differential proteins were significantly associated with multiple biological processes. Myogenesis, Fatty Acid Metabolism and KRAS Signaling DN were associated with the proteins downregulated in cancer tissues, while Protein Secretion, Unfolded Protein Response, Spliceosomal complex assembly, Protein localization to endosome and Interferon Gamma Response were enriched in the set of upregulated proteins and these regulated proteins may be classically or non-classically secreted. Furthermore, we found differential enrichment of Creb3L1, ESRRA, YY, ELF2, STAT1 and XBP transcription factors potentially regulating these major pathways.
2025-10-07 | MSV000099414 | MassIVE
Project description:The development of oral squamous cell carcinoma (OSCC) is a multistep process requiring the accumulation of genetic alterations. Oral carcinogenesis is a multifactorial process involving numerous genetic changes that affect the activity of oncogenes, tumor suppressor genes and other classes of disease-related genes.Therefore, to identify the responsive genes for progression of oral dysplasia or OSCC, we here performed CGH analysis to DNA from oral dysplasia and OSCC by microdissection Copy number analysis of Affymetrix 250K SNP arrays was performed for 8 oral dysplasia samples, 8 oral squamous cell carcinoma samples, using microdissection
2013-10-22 | E-GEOD-51265 | biostudies-arrayexpress
Project description:Identification of genes that are differentially regulated in fibroblasts derived from dysplastic oral mucosa and oral squamous cell carcinoma compared to fibroblasts derived from normal oral mucosa. Affymetrix microarrays were used to define differential gene expression. Populations of fibroblasts were isolated from human normal oral mucosa, oral dysplasia and oral squamous cell carcinoma, maintained in 3D collagen I biomatrices, RNA extracted and processed for Affymetrix arrays. Fibroblasts maintained as monolayers were also included as comparators.
2013-12-01 | E-GEOD-38517 | biostudies-arrayexpress
Project description:Oral squamous cell carcinoma (OSCC) is a main reason of oral cancer mortality and morbidity. Cancer of oral cavity in central south Asia, ranks among third most common kinds of cancer. The discovery of candidate markers to differentiate normal from malignant cells in clinical diagnosis of OSCC would be of critical importance because this malignancy has poor prognosis. To improve the clinical outcome in OSCC patients, the present study was aimed at identifying robust candidate biomarkers for early OSCC diagnosis and to enhance understanding of the mechanisms of disease progression and pathogenesis. Of particular interest are proteins that can be found in tissue lysates of OSCC tumor vs normal adjacent mucosa samples and secreted in cell line Secretomes of HNSCC for non-invasive detection. We analysed 17 paired human malignant OSCC tissues and normal adjacent tissue in addition to secretomes of 9 HNSCC cell lines. The proteome dataset of OSCC and normal tissues consisted of 5,123 protein groups, including 299 proteins with strong differential expression (p-value <0.01, fold change barrier to ˃+2 and <-2, 205 upregulated and 94 down regulated) and 134 common proteins were also found out of total dataset of 4473 identified proteins of HNSCC cell line secretomes. Functional data analysis revealed that these differential proteins were significantly associated with multiple biological processes. Myogenesis, Fatty Acid Metabolism and KRAS Signaling DN were associated with the proteins downregulated in cancer tissues, while Protein Secretion, Unfolded Protein Response, Spliceosomal complex assembly, Protein localization to endosome and Interferon Gamma Response were enriched in the set of upregulated proteins and these regulated proteins may be classically or non-classically secreted. Furthermore, we found differential enrichment of Creb3L1, ESRRA, YY, ELF2, STAT1 and XBP transcription factors potentially regulating these major pathways.
2022-04-04 | PXD025701 | Pride