MRNA expression data from oral squamous cell carcinoma patients
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE138206 | GEO | 2019/10/01
REPOSITORIES: GEO
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Project description:Oral squamous cell carcinoma (OSCC) accounts for the high mortality rate and morbidity in head and neck cancer. Data for analysis were obtained from the microarray data of 6 OSCC tissues, tissues adjacent to cancer, and contralateral normal tissues.We used the affy package under the R environment to preprocess and normalize the original gene chip data.
2019-09-25 | GSE137865 | GEO
Project description:Hypoxic microenvironment plays important roles in the progression of solid tumors including oral squamous cell carcinoma (OSCC). Long noncoding RNAs (lncRNAs) have gained much attention in the past few years. However, it is not clear whether lncRNAs could regulate hypoxia-adaptation of OSCC, and which lncRNAs participate in this process. Using an lncRNA microarray, we analyzed the aberrant lncRNA expression profiles in OSCC tissues compared with paired normal oral mucosa as well as in hypoxic OSCC cells compared with normoxic OSCC cells. Our data revealed 2053 differentially expressed (Fold Change >= 2.0, P-value <= 0.05) lncRNAs, among which 934 lncRNAs were significantly up-regulated and 1119 lncRNAs were down-regulated in OSCC compared with paired normal mucosa. Six OSCC tissues and paired normal oral mucosa were obtained from 6 patients with OSCC. LncRNA expression profiles were evaluated by an Agilent Human LncRNA Array v3.0 (8 x 60K, Arraystar).
2016-07-26 | E-GEOD-84805 | 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
Project description:This study aims to identify genes differentially expressed in oral CAFs with respect to their normal counterparts, i.e. oral NFs. We collected oral normal mucosal tissues and oral squamous cell carcinoma (OSCC) tissues from 12 healthy people and 12 OSCC patients, respectively, at West China Hospital of Stomatology, Sichuang University, P. R. China. The tissues were isolated, cultured and purified using standard protocols to obtain oral NFs and CAFs. Agilent 4×44K Whole Genome Oligo Microarrays were used to measure the gene expression profiles of the samples. Sample preparation and hybrid reactions were performed according to the manufacture’s instructions. RNA samples from NFs and CAFs were pooled respectively before hybridization. The chips were scanned and visualized using the Agilent DNA microarray scanner. Probe set intensities were measured using Agilent Feature Extraction software (version 10.5.1.1). Raw data were normalized in the Agilent GeneSpring GX software (version 11.0) using the Agilent FE one-color scenario (mainly median normalization). Oral NFs and CAFs were obtained from tissues derived from 12 healthy people undergoing plastic surgery and 12 OSCC patiens undergoing surgical resection. RNA samples from NFs and CAFs were pooled respectively before hybridization.
2012-01-26 | E-GEOD-35356 | biostudies-arrayexpress
Project description:In order to aid the development of patient-tailored diagnostics and therapeutics, we attempted to identify a genetic signature associated with disease prognosis in OSCC. A genome-wide analysis of transcription with the Affymetrix GeneChip Human Gene 1.0 ST Array was conducted. In this dataset, we include the expression data obtained from 57 specimens from patients with OSCC and 22 oral tissues from normal persons. 79 samples were analyzed. We compared gene expression levels between patients with and without OSCC. In addition, among 57 patients with OSCC, we also compared the expression levels between patients with and without amplicons scattered in chromosome 8q22.2~24.3.
2011-08-31 | E-GEOD-25099 | biostudies-arrayexpress
Project description:Laser Microdissection (LMD) associated to LC-MS/MS were used to analyze the proteome of neoplastic islands and stroma tumor of Formalin-Fixed and Paraffin Embedded (FFPE) OSCC tissues to identify proteins of prognostic value. Label-free protein quantification and statistical analysis revealed neoplastic islands proteins and from stroma tumor as correlated to clinicopathological data including lymphonode status and recurrence.
2018-09-10 | PXD007232 | Pride
Project description:In order to identify biomarkers that contribute to genetic causes of OSCC, we attempt to identify copy number variation regions (CNV) in patients with OSCC. We identified and confirmed the clinical significance of amplification regions scattered from 8q22.2 to 8q24.3. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from normal oral tissues and OSCC specimens. Copy number analysis of Affymetrix SNP 6.0 arrays was performed for 112 OSCC specimens and 10 non-cancerous samples.
2011-08-31 | E-GEOD-25103 | biostudies-arrayexpress
Project description:OSCC is associated with substantial mortality and morbidity. To identify potential biomarkers for the early detection of invasive OSCC, we compared the gene expressions of OSCC, oral dysplasia, and normal oral tissue from patients without oral cancer or preneoplastic oral lesions (controls). Results provided models of gene expression to distinguish OSCC from controls. RNA from 167 OSCC, 17 dysplasia and 45 normal oral tissues were extracted and hybridized to Affymetrix U133 2.0 Plus GeneChip arrays. The differentially expressed genes were identified using GenePlus software and the validation was done using RT-PCR, using independent internal and external datasets.
2011-07-21 | E-GEOD-30784 | biostudies-arrayexpress
Project description:Hypoxic microenvironment plays important roles in the progression of solid tumors including oral squamous cell carcinoma (OSCC). Long noncoding RNAs (lncRNAs) have gained much attention in the past few years. However, it is not clear whether lncRNAs could regulate hypoxia-adaptation of OSCC, and which lncRNAs participate in this process. Using an lncRNA microarray, we analyzed the aberrant lncRNA expression profiles in OSCC tissues compared with paired normal oral mucosa as well as in hypoxic OSCC cells compared with normoxic OSCC cells. Our data revealed 2053 differentially expressed (Fold Change >= 2.0, P-value <= 0.05) lncRNAs, among which 934 lncRNAs were significantly up-regulated and 1119 lncRNAs were down-regulated in OSCC compared with paired normal mucosa.
2016-07-26 | GSE84805 | GEO
Project description:While altered protein glycosylation is regarded a trait of oral squamous cell carcinoma (OSCC), its heterogeneous glycoproteome and dynamics with disease progression remain unmapped. Employing an integrated multi-omics approach comprising unbiased and quantitative glycomics and glycoproteomics on resected OSCC tissues, we firstly profiled the N-glycome that overall displayed uniform expression in OSCC patients with (N+, n = 19) and without (N0, n = 12) lymph node metastasis, suggesting relatively stable N-glycosylation during metastasis. Notably, glycoproteomics and advanced correlation analysis uncovered altered site-specific N-glycosylation and associations with clinicopathological features. Importantly, targeted analyses of the multi-omics data unveiled two N-glycans and three N-glycopeptides that were closely associated with patient survival. This study provides novel insight into the complex OSCC tissue N-glycoproteome forming an important resource to further explore the underpinning disease mechanisms and uncover new prognostic glyco-markers for OSCC.
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