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).
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
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).
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).
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.
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.
Project description:Tongue squamous cell carcinoma is a tumour type with rather low five year survival, around 60%. The poor survival rate has been ascribed to late detection, a high frequency of locoregional recurrence, the occurrence of secondary primary tumours and death due to comorbidity. One reason for development of recurrence is thought to be the existence of transformed cells in areas adjacent to the primary tumour, cancerization field effect. The aim of this study was to map the changes in the tumour free tongue tissue adjacent to tongue tumours compared with healthy control tongue tissue to better understand the cancerization field effect. Tissue biopsies were collected from tumour (T) and tumour free tissue adjacent to the tumour (TF) from patients with tongue squamous cell carcinoma. Control tissue was collected from latter border of the tongue of tumour free healthy volunteers (C). All samples were homogenized and RNA was extracted. The RNA was biotin labelled and run on Illumina HT-12 bead chip array.