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Array comparative genomic hybridization in oral cavity (head and neck) squamous cell carcinoma

ABSTRACT: Genome wide high resolution assay of copy number in a series of frozen, microdissected head and neck cancers originating from the oral cavity. The objective was to characterize areas of amplification and deletion in head and neck cancers arising from the oral cavity subsite.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33983 | GEO | 2012/04/01

SECONDARY ACCESSION(S): PRJNA150617

REPOSITORIES: GEO

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Array comparative genomic hybridization in oral cavity (head and neck) squamous cell carcinoma

Project description:Genome wide high resolution assay of copy number in a series of frozen, microdissected head and neck cancers originating from the oral cavity. The objective was to characterize areas of amplification and deletion in head and neck cancers arising from the oral cavity subsite. 31 tumors were snap frozen at the time of surgical resection, microdissected to >70% tumor content, and DNA extracted.

2012-03-31 | E-GEOD-33983 | biostudies-arrayexpress

Single cell RNA-seq analysis of head and neck cancer

Project description:To understand the diversity of expression states within head and neck cancers, we profiled 5902 single cells from 18 patients with oral cavity tumors by single cell RNA-seq

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Whole exome sequencing and transcription profiling of a patient cohort of oral cavity squamous cell carcinomas

Project description:Oral cavity Squamous Cell Carcinoma (OCSCC) is a common form of head and neck cancer through the developed and developing world. However, the etiology of OCSCC is still unclear. To explore whether smoking, HPV and/or other underlying genetic and transcriptomic changes could be responsible for the oncogenesis events for OCSCC. A prospective observational study of fresh tissue biopsy from 45 participants with OCSCC collected from Brisbane Head and Neck Clinics between 2013 to 2015. Exploration of the genetic and transcriptomic landscape was performed using RNA sequencing and whole exome sequencing. Identification of HPV was to be performed using DNA PCR genotyping and RNA sequencing. Patient medical records were retrieved and the patient demographics were used to correlate with genomic and transcriptomics analyses, including the location of the tumor within the oral cavity, smoking and alcohol histories.

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Transcription profiling of human head and neck squamous cell carcinomas to identify metastasis predictors and descriptors, and differentiation classifiers

Project description:A "Cartes d'Identite des Tumeurs" (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net). 81 samples on Affymetrix HG-U133 Plus 2.0 GeneChips arrays for 81 patients with primary Head and Neck Squamous Cell Carcinoma (HNSCC; oral cavity, tongue, oro- or hypopharynx); metastases as first recurrent event in a 36-month follow up; histologically tumor-free margins (?3 mm); patients had undergone surgical resection as the first treatment and had no clinically evident distant metastases.

2007-08-23 | E-TABM-302 | biostudies-arrayexpress

Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas

Project description:DNA methylation profiling of heterogeneous head and neck squamous cell carcinoma (HNSCC) cohorts has been reported to predict patient outcome. We investigated if a prognostic DNA methylation profile could be found in tumour tissue from a single uniform subsite, the oral tongue. The methylation status of 83 comprehensively annotated oral tongue squamous cell carcinoma (OTSCC) formalin-fixed paraffin-embedded (FFPE) samples from a single institution were examined with the Illumina HumanMethylation450K (HM450K) array.

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Head and neck squamous cell carcinoma

Project description:Quantitative (iTRAQ 4-plex) proteomic analysis of progressive head and neck cancers

2022-03-01 | PXD001438 | Pride

Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas

2016-07-18 | E-GEOD-79556 | biostudies-arrayexpress

Total RNA sequencing reveals gene expression and microbial alterations shared by oral pre-malignant lesions and cancer.

Project description:Head and neck cancers are a complex malignancy comprising multiple anatomical sites, with cancer of the oral cavity ranking among the deadliest and most disfiguring cancers globally. Oral cancer (OC) constitutes a subset of head and neck cancer cases, presenting primarily as tobacco- and alcohol-associated oral squamous cell carcinoma (OSCC), with a 5-year survival rate of ~65%, partly due to the lack of early detection and effective treatments. OSCC arises from premalignant lesions (PMLs) in the oral cavity through a multi-step series of clinical and histopathological stages, including varying degrees of epithelial dysplasia. To gain insights into the molecular mechanisms associated with the progression of PMLs to OSCC, we profiled the whole transcriptome of 66 human PMLs comprising leukoplakia with dysplasia and hyperkeratosis non-reactive (HkNR) pathologies, alongside healthy controls and OSCC. Our data revealed that PMLs were enriched in gene signatures associated with cellular plasticity, such as partial EMT (p-EMT) phenotypes, and with immune response. Integrated analyses of the host transcriptome and microbiome further highlighted a significant association between differential microbial abundance and PML pathway activity, suggesting a contribution of the oral microbiome towards PML evolution to OSCC. Collectively, this study reveals molecular processes associated with PML progression that may help early diagnosis and disease interception at an early stage.

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Project description:Oral cavity Targeted loci

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DNA methylation profiles of lymph node tissue of head and neck cancer of unknown primary

Project description:Background. The unknown tissue of origin in head and neck cancer of unknown primary (hnCUP) leads to invasive diagnostic procedures and unspecific and potentially inefficient treatment options for patients. The most common histological subtype, squamous cell carcinoma, can stem from various tumor primary sites, including the oral cavity, oropharynx, larynx, head and neck skin, lungs, and esophagus. DNA methylation profiles are highly tissue-specific and have been successfully used to classify tissue origin. We therefore developed a support vector machine (SVM) classifier trained with publicly available DNA methylation profiles of commonly cervically metastasizing squamous cell carcinomas (n = 1,103) in order to identify the primary tissue of origin of our own cohort of squamous cell hnCUP patient’s samples (n = 28). Methylation analysis was performed with Infinium MethylationEPIC v1.0 BeadChip by Illumina. Results. The SVM algorithm achieved the highest overall accuracy of tested classifiers, with 87%. Squamous cell hnCUP samples on DNA methylation level resembled squamous cell carcinomas commonly metastasizing into cervical lymph nodes. The most frequently predicted cancer localization was the oral cavity in 11 cases (39%), followed by the oropharynx and larynx (both 7, 25%), skin (2, 7%), and esophagus (1, 4%). These frequencies concord with the expected distribution of lymph node metastases in epidemiological studies. Conclusions. On DNA methylation level, hnCUP is comparable to primary tumor tissue cancer types that commonly metastasize to cervical lymph nodes. Our SVM-based classifier can accurately predict these cancers’ tissues of origin and could significantly reduce the invasiveness of hnCUP diagnostics and enable a more precise therapy after clinical validation.

2024-03-04 | GSE256413 | GEO

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