Metformin Hydrochloride in Preventing Oral Cancer in Patients With an Oral Premalignant Lesion
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PROVIDER: PRJNA731941 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Metformin Hydrochloride in Preventing Oral Cancer in Patients With an Oral Premalignant Lesion
| PRJNA731942 | ENA
Project description:This portion of the study evaluated the effects of topical 10% black raspberry gel application on gene expression profiles of premalignant oral lesions. Topical application of the bioadhesive black rasberry gel was observed to modulate gene expression and reduce proinflammatory proteins in human premalignant oral lesions. Keywords: Human oral tissues treated with 10% berry gfel
2008-06-01 | GSE10174 | GEO
Project description:Oral epithelial dysplasias are believed to progress through a series of histopathological stages; from mild to severe dysplasia, to carcinoma in situ, and finally to invasive OSCC. Underlying this change in histopathological grade are gross chromosome alterations and changes in gene expression of both protein-coding genes and non-coding RNAs. Recent papers have described associations of aberrant expression of microRNAs, one class of non-coding RNAs, with oral cancer. However, expression profiling of long non-coding RNAs (lncRNAs) has not been reported. Long non-coding RNAs are a novel class of mRNA-like transcripts with no protein coding capacity, but with a variety of functions including roles in epigenetics and gene regulation. In recent reports, the aberrant expression of lncRNAs has been associated with human cancers, suggesting a critical role in tumorigenesis. Here, we present the first long non-coding RNA expression map for the human oral mucosa. We describe the expression of 325 long non-coding RNAs, suggesting lncRNA expression contributes significantly to the oral transcriptome. Intriguingly, 60% of the detected lncRNAs show aberrant expression in oral premalignant lesions. A number of these lncRNAs have been previously associated with other human cancers. A total of six normal oral samples and ten oral premalignant lesions were used to construct SAGE libraries which were then queried for long non-coding RNA expression profiles. The six normal oral samples were previously deposited as GSE8127.
2011-08-14 | E-GEOD-31021 | biostudies-arrayexpress
Project description:This portion of the study evaluated the effects of topical 10% black raspberry gel application on gene expression profiles of premalignant oral lesions. Topical application of the bioadhesive black rasberry gel was observed to modulate gene expression and reduce proinflammatory proteins in human premalignant oral lesions. Experiment Overall Design: Each patient served as their own internal control. A pretreatment specimen of the premalignant lesion was obtained for baseline parameters. Following six weeks of treatment, the treated lesional tissue was removed. All tissue samples were immediately placed in RNA later and placed in a -80 degree freezer until sample preparation.
2008-06-18 | E-GEOD-10174 | biostudies-arrayexpress
Project description:Oral epithelial dysplasias are believed to progress through a series of histopathological stages; from mild to severe dysplasia, to carcinoma in situ, and finally to invasive OSCC. Underlying this change in histopathological grade are gross chromosome alterations and changes in gene expression of both protein-coding genes and non-coding RNAs. Recent papers have described associations of aberrant expression of microRNAs, one class of non-coding RNAs, with oral cancer. However, expression profiling of long non-coding RNAs (lncRNAs) has not been reported. Long non-coding RNAs are a novel class of mRNA-like transcripts with no protein coding capacity, but with a variety of functions including roles in epigenetics and gene regulation. In recent reports, the aberrant expression of lncRNAs has been associated with human cancers, suggesting a critical role in tumorigenesis. Here, we present the first long non-coding RNA expression map for the human oral mucosa. We describe the expression of 325 long non-coding RNAs, suggesting lncRNA expression contributes significantly to the oral transcriptome. Intriguingly, 60% of the detected lncRNAs show aberrant expression in oral premalignant lesions. A number of these lncRNAs have been previously associated with other human cancers.
2011-08-15 | GSE31021 | GEO
Project description:Genome-wide SNP profilling for loss of heterozygosity (LOH) during FOXM1B-induced malignant transformation in a human premalignant oral keratinocyte line SVpgC2a. Experiment Overall Design: Eight FOXM1B-induced malignant clones (SVFN1-8) that grew in soft agar were grown as individual cell lines and gDNA harvested from each clone for SNP array analysis compared to wild-type non-transformed SVpgC2a as control to obtain loss of heterozygosity profiles.
2009-06-23 | E-GEOD-11782 | biostudies-arrayexpress
Project description:Individuals who present with premalignant endobronchial lesions are considered at high risk of lung cancer. Nonetheless, premalignant lesions behave erratically and only a minority progresses towards lung cancer. Therefore, biomarkers need to be discovered that can aid in assessing an individual’s risk for subsequent cancer to better tailor treatment choices and avoid unnecessary follow-up procedures. We recently proposed a classifier of DNA copy number alterations (CNAs) at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3 as risk predictor for endobronchial cancer. The current study was set out to validate the classifier among an independent series of premalignant endobronchial lesions with various histological grades. A series of 36 endobronchial premalignant lesions (8 squamous metaplasia, and 28 various grades of dysplasia) identified during autofluorescence bronchoscopy of 12 case subjects who had carcinoma in situ or carcinoma (≥CIS) during follow-up bronchoscopy at the initial site and 24 control subjects who remained cancer-free, was subjected to array Comparative Genomic Hybridization (arrayCGH). DNA copy number profiles were related to lesion outcome. Prediction accuracy of the previously defined molecular classifier to predict endobronchial cancer in this series was determined. Unsupervised hierarchical clustering analysis revealed a significant association between cluster assignment and lesion outcome (p< 0.001), independent of histological grade, with quiescent profiles in controls (24/24) and aberrant profiles in the majority of cases (9/12). Our pre-defined classifier demonstrated 92% accuracy for predicting cancer outcome in the current sample series. Our validated classifier holds great promise for stratification of patients with premalignant endobronchial lesions for risk of subsequent cancer. Fresh frozen specimens of 36 premalignant endobronchial biopsies. Test samples were compared to an external pool of normal male/female reference DNA.
2013-12-03 | E-GEOD-45287 | biostudies-arrayexpress
Project description:This study was conducted to understand the genomics of progression of oral precancerous lesion (leukoplakia) to malignant oral tumor.
| PRJEB42969 | ENA
Project description:Oral submucous fibrosis (OSF) as one of the malignant disorders endures a series of histopathological stages to invasive oral squamous cell carcinoma (OSCC) eventually. The role of long non-coding RNA (lncRNA) expression in OSF malignant progression is still poorly understood. Genome-wide lncRNA expression profiling of normal mucous, OSF and OSCC tissues was performed by RNA sequencing. Bioinformatic methods were applied for differential lncRNA analysis and functional enrichment analysis. Quantitative-RT-PCR was used to verify identified lncRNAs.21 novel transcripts were differentially expressed among all three stages during OSF progression with varied expression levels. Our study firstly comprehensively elucidated lncRNAs expression profile of the process of OSCC premalignant lesion to OSCC.
2019-02-13 | GSE125866 | GEO
Project description:Individuals who present with premalignant endobronchial lesions are considered at high risk of lung cancer. Nonetheless, premalignant lesions behave erratically and only a minority progresses towards lung cancer. Therefore, biomarkers need to be discovered that can aid in assessing an individual’s risk for subsequent cancer to better tailor treatment choices and avoid unnecessary follow-up procedures. We recently proposed a classifier of DNA copy number alterations (CNAs) at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3 as risk predictor for endobronchial cancer. The current study was set out to validate the classifier among an independent series of premalignant endobronchial lesions with various histological grades. A series of 36 endobronchial premalignant lesions (8 squamous metaplasia, and 28 various grades of dysplasia) identified during autofluorescence bronchoscopy of 12 case subjects who had carcinoma in situ or carcinoma (≥CIS) during follow-up bronchoscopy at the initial site and 24 control subjects who remained cancer-free, was subjected to array Comparative Genomic Hybridization (arrayCGH). DNA copy number profiles were related to lesion outcome. Prediction accuracy of the previously defined molecular classifier to predict endobronchial cancer in this series was determined. Unsupervised hierarchical clustering analysis revealed a significant association between cluster assignment and lesion outcome (p< 0.001), independent of histological grade, with quiescent profiles in controls (24/24) and aberrant profiles in the majority of cases (9/12). Our pre-defined classifier demonstrated 92% accuracy for predicting cancer outcome in the current sample series. Our validated classifier holds great promise for stratification of patients with premalignant endobronchial lesions for risk of subsequent cancer.
2013-12-03 | GSE45287 | GEO