A minimal DNA 5-methylcytosine signature of oral tongue squamous cell carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE75540 | GEO | 2016/06/01
SECONDARY ACCESSION(S): PRJNA304501
REPOSITORIES: GEO
Similar Datasets
Project description:Oral tongue squamous cell carcinomas (OTSCC) are a homogenous group of aggressive tumors in the head and neck region, with a rising incidence among younger population. The role of altered DNA methylation in OTSCC and its link with clinical parameters has not been fully assessed yet. We performed genome-wide methylation analysis of oral tongue primary tumors (n = 52) using 485, 512 probes and correlated altered methylation with differences in gene expression. We used an ensemble machine-learning algorithm to identify differentially methylated probes and regions predictive of survival, risk habits, nodal status, tumor stage, and HPV infection followed by validation using data from the cancer genome atlas (TCGA) project on oral tongue (n = 24) and tumors from all subsites of head and neck region (n = 50).
2016-06-01 | GSE75537 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2016-06-01 | E-GEOD-75540 | biostudies-arrayexpress
Project description:Oral tongue squamous cell carcinomas (OTSCC) are a homogenous group of aggressive tumors in the head and neck region, with a rising incidence among younger population. The role of altered DNA methylation in OTSCC and its link with clinical parameters has not been fully assessed yet. We performed genome-wide methylation analysis of oral tongue primary tumors (n = 52) using 485, 512 probes and correlated altered methylation with differences in gene expression. We used an ensemble machine-learning algorithm to identify differentially methylated probes and regions predictive of survival, risk habits, nodal status, tumor stage, and HPV infection followed by validation using data from the cancer genome atlas (TCGA) project on oral tongue (n = 24) and tumors from all subsites of head and neck region (n = 50). Bisulphite converted DNA from the 52 tumor:matched control sample pairs were hybridised to the Illumina Infinium 450k Human Methylation Beadchip
2016-06-01 | E-GEOD-75537 | biostudies-arrayexpress
Project description:Oral tongue squamous cell carcinomas (OTSCC) are a homogenous group of aggressive tumors in the head and neck region, with a rising incidence among younger population. The role of altered DNA methylation in OTSCC and its link with clinical parameters has not been fully assessed yet. We performed genome-wide methylation analysis of oral tongue primary tumors (n = 52) using 485, 512 probes and correlated altered methylation with differences in gene expression. We used an ensemble machine-learning algorithm to identify differentially methylated probes and regions predictive of survival, risk habits, nodal status, tumor stage, and HPV infection followed by validation using data from the cancer genome atlas (TCGA) project on oral tongue (n = 24) and tumors from all subsites of head and neck region (n = 50).
2016-06-01 | GSE75539 | GEO
Project description:Oral tongue squamous cell carcinomas (OTSCC) are a homogenous group of aggressive tumors in the head and neck region, with a rising incidence among younger population. The role of altered DNA methylation in OTSCC and its link with clinical parameters has not been fully assessed yet. We performed genome-wide methylation analysis of oral tongue primary tumors (n = 52) using 485, 512 probes and correlated altered methylation with differences in gene expression. We used an ensemble machine-learning algorithm to identify differentially methylated probes and regions predictive of survival, risk habits, nodal status, tumor stage, and HPV infection followed by validation using data from the cancer genome atlas (TCGA) project on oral tongue (n = 24) and tumors from all subsites of head and neck region (n = 50). Whole-genome gene expression profiling was carried out with Illumina HumanHT12 v4 expression BeadChip (Illumina, San Diego, CA) with 21 tumors and their matched adjacent normal tissues. Total RNA was extracted using PureLink RNA mini kit (Invitrogen) and RNA quality was checked on the bioanalyzer using RNA Nano6000 chip (Agilent). RNA samples with poor RIN numbers (â¤7) on the bioanalyzer chip, indicating partial degradation of RNA were processed using Illumina WGDASL assay and the ones with good RIN numbers (>7) were labelled using Illumina TotalPrep RNA Amplification kit (Ambion) as per the manufacturerâs recommendations. Targets were used to hybridize arrays and arrays were processed according to the manufacturerâs recommendations. Arrays were scanned using HiScan, Illumina, and the data collected were analyzed with GenomeStudio V2011.1 Gene Expression module 1.9.0 (Illumina) to check for the assay quality control probes. Raw signal intensities were exported from GenomeStudio for transformation, normalization and differential expression analyses using R.
2016-06-01 | E-GEOD-75539 | biostudies-arrayexpress
Project description:Oral tongue squamous cell carcinomas (OTSCC) are a homogenous group of aggressive tumors in the head and neck region, with a rising incidence among younger population. The role of altered DNA methylation in OTSCC and its link with clinical parameters has not been fully assessed yet. We performed genome-wide methylation analysis of oral tongue primary tumors (n = 52) using 485, 512 probes and correlated altered methylation with differences in gene expression. We used an ensemble machine-learning algorithm to identify differentially methylated probes and regions predictive of survival, risk habits, nodal status, tumor stage, and HPV infection followed by validation using data from the cancer genome atlas (TCGA) project on oral tongue (n = 24) and tumors from all subsites of head and neck region (n = 50).
2016-06-01 | GSE75538 | GEO
Project description:Oral tongue squamous cell carcinomas (OTSCC) are a homogenous group of aggressive tumors in the head and neck region, with a rising incidence among younger population. The role of altered DNA methylation in OTSCC and its link with clinical parameters has not been fully assessed yet. We performed genome-wide methylation analysis of oral tongue primary tumors (n = 52) using 485, 512 probes and correlated altered methylation with differences in gene expression. We used an ensemble machine-learning algorithm to identify differentially methylated probes and regions predictive of survival, risk habits, nodal status, tumor stage, and HPV infection followed by validation using data from the cancer genome atlas (TCGA) project on oral tongue (n = 24) and tumors from all subsites of head and neck region (n = 50). Whole-genome gene expression profiling was carried out with Illumina HumanHT12 v4 expression BeadChip (Illumina, San Diego, CA) with 21 tumors and their matched adjacent normal tissues. Total RNA was extracted using PureLink RNA mini kit (Invitrogen) and RNA quality was checked on the bioanalyzer using RNA Nano6000 chip (Agilent). RNA samples with poor RIN numbers (â?¤7) on the bioanalyzer chip, indicating partial degradation of RNA were processed using Illumina WGDASL assay and the ones with good RIN numbers (>7) were labelled using Illumina TotalPrep RNA Amplification kit (Ambion) as per the manufacturerâ??s recommendations. Targets were used to hybridize arrays and arrays were processed according to the manufacturerâ??s recommendations. Arrays were scanned using HiScan, Illumina, and the data collected were analyzed with GenomeStudio V2011.1 Gene Expression module 1.9.0 (Illumina) to check for the assay quality control probes. Raw signal intensities were exported from GenomeStudio for transformation, normalization and differential expression analyses using R.
2016-06-01 | E-GEOD-75538 | biostudies-arrayexpress
Project description:A minimal DNA 5-methylcytosine signature of oral tongue squamous cell carcinoma
| PRJNA304501 | ENA
Project description:Background:Oral tongue squamous cell carcinoma (OTSCC) is the most common subtype of oral cancer. A predictive gene signature is necessary for prognosis of OTSCC. Methods:Five microarray data sets of OTSCC from the Gene Expression Omnibus (GEO) and one data set from The Cancer Genome Atlas (TCGA) were obtained. Differentially expressed genes (DEGs) of GEO data sets were identified by integrated analysis. The DEGs associated with prognosis were screened in the TCGA data set by univariate survival analysis to obtain a gene signature. A risk score was calculated as the summation of weighted expression levels with coefficients by Cox analysis. The signature was used to distinguish carcinoma, estimated by receiver operator characteristic curves and the area under the curve (AUC). All were validated in the GEO and TCGA data sets. Results:Integrated analysis of GEO data sets revealed 300 DEGs. A 16-gene signature and a risk score were developed after survival analysis. The risk score was effective to stratify patients into high-risk and low-risk groups in the TCGA data set (P < 0.001). The 16-gene signature was valid to distinguish the carcinoma from normal samples (AUC 0.872, P < 0.001). Discussion:We identified a useful 16-gene signature for prognosis of OTSCC patients, which could be applied to clinical practice. Further studies were needed to prove the findings.
| S-EPMC5695251 | biostudies-literature
Project description:DNA methylation is one of the most studied epigenetic alterations in cancer. Genome-wide DNA methylation profiling was conducted in 6 oral tongue squamous cell carcinomas and matched normal tissues. In the present study, the Illumina Infinium HumanMethylationEPIC BeadChip (EPIC array) was used to characterize the DNA methylation pattern across approximately 850,000 CpG dinucleotide methylation loci using DNA isolated of formalin-fixed and paraffin-embedded tissue sections.
2023-03-20 | GSE210443 | GEO