Analysis of differential gene expression in HPV+ and HPV- HNSCC cell lines
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE250305 | GEO | 2023/12/18
REPOSITORIES: GEO
Similar Datasets
Project description:HPV-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. To assess the genome-wide methylation changes in HPV(+) and HPV(-) tumors, we analyzed DNA methylation and expression patterns in two HPV(+) and two HPV(-) cell lines. HPV(+) tumors have overall higher DNA methylation in genic and LINE1 regions than HPV(-) tumors, and polycomb repressive complex 2 (PRC2) targets tend to be much more highly methylated in HPV(+) cells.
2010-12-01 | GSE24090 | GEO
Project description:Oncogenic human papillomaviruses (HPVs) are associated with nearly all carcinomas of the uterine cervix and have also become an increasingly important factor in the etiology of a subset of oropharyngeal tumors. HPV-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. We analyzed the genome-wide expression patterns in two HPV(+) and two HPV(-) squamous cell carcinoma (SCC) cell lines.
2010-12-01 | GSE24089 | GEO
Project description:Human papillomavirus (HPV)-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. Promoter hypermethylation has been widely recognized as an important mechanism in the progression of HNSCC, but the extent to which this mechanism is consistent between HPV(+) and HPV(-) tumors is unknown. To assess the genome-wide methylation changes in HPV(+) and HPV(-) tumors, we analyzed DNA methylation and expression patterns in two HPV(+) and two HPV(-) cell lines. HPV(+) tumors have overall higher DNA methylation in genic and LINE1 regions than HPV(-) tumors, and polycomb repressive complex 2 (PRC2) targets tend to be much more highly methylated in HPV(+) cells.
2010-12-01 | GSE24087 | GEO
Project description:Human papillomavirus (HPV)-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. Promoter hypermethylation has been widely recognized as an important mechanism in the progression of HNSCC, but the extent to which this mechanism is consistent between HPV(+) and HPV(-) tumors is unknown. To assess the genome-wide methylation changes in HPV(+) and HPV(-) tumors, we analyzed DNA methylation and expression patterns in two HPV(+) and two HPV(-) cell lines. HPV(+) tumors have overall higher DNA methylation in genic and LINE1 regions than HPV(-) tumors, and polycomb repressive complex 2 (PRC2) targets tend to be much more highly methylated in HPV(+) cells. Bisulphite-converted DNA from 4 squamous cell carcinoma (SCC) cell lines were hybridized to the Illumina Infinium 27k Human Methylation Beadchip.
2010-12-01 | E-GEOD-24087 | biostudies-arrayexpress
Project description:Oncogenic human papillomaviruses (HPVs) are associated with nearly all carcinomas of the uterine cervix and have also become an increasingly important factor in the etiology of a subset of oropharyngeal tumors. HPV-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. We analyzed the genome-wide expression patterns in two HPV(+) and two HPV(-) squamous cell carcinoma (SCC) cell lines. The Affymetrix Human Genome U133 Plus 2.0 Array platform was used to assess genome-wide expression differences between the HPV(+) and HPV(-) cell lines utilizing the RMA normalization package available for R. Cell lines analyzed: UM-SCC-4, UM-SCC-47, UM-SCC-74A, and CaSki.
2010-12-01 | E-GEOD-24089 | biostudies-arrayexpress
Project description:Background. Head and neck squamous cell carcinomas (HNSCCs) represent a heterogeneous group of cancers, for which human papilloma virus (HPV) infection is an emerging risk factor. Previous studies showed promoter hypermethylation in HPV(+) oropharyngeal cancers, but only few consistent target genes have been so far described and the evidence of a functional impact on gene expression is still limited. Methods. We performed global and stratified pooled analyses of epigenome-wide data in HNSCCs based on the Illumina HumanMethylation450 bead-array data in order to identify tissue-specific components and common viral epigenetic targets in HPV-associated tumours . Results. We identified novel differentially methylated CpGs and regions associated with viral infection that are independent of the anatomic site. In particular, most hypomethylated regions were characterized by a marked loss of CpG island boundaries, which showed significant correlations with expression of neighbouring genes. Moreover, a subset of only 5 CpGs in few hypomethylated regions predicted HPV status with a high level of specificity in different cohorts. Finally, this signature was a better predictor of survival compared with HPV status determined by viral gene expression by RNA-Sequencing in the TCGA cohort. Conclusions. We identified a novel epigenetic signature of HPV infection in HNSCCs which is independent of the anatomic site, is functionally correlated with gene expression and may be leveraged for improved stratification of prognosis in HNSCCs.
2017-02-18 | GSE95036 | GEO
Project description:Analysis of differential gene expression in HPV+ and HPV- HNSCC cell lines
| PRJNA1053339 | ENA
Project description:The analysis of the 6 methylomes by MeDIP-Seq comprise 3 HPV+ HNSCC samples and 3 HPV- HNSCC samples Analysis of the 6 methylomes, comprising 3 HPV+ HNSCC samples and 3 HPV- HNSCC samples
2012-11-01 | E-GEOD-38263 | biostudies-arrayexpress
Project description:The global rise of HPV(+) oropharyngeal squamous cell carcinoma (OPSCC) has generated considerable interest underlying its etiology and management. Despite an overall decline in head and neck malignancies, the incidence in OPSCC has by contrast sharply risen, with HPV(+) subtypes now comprising 80% of all OPSCC.1,2 Relative to HPV(-) OPSCC, HPV(+) patients are more responsive to chemoradiation and harbor a 52% risk-of-death reduction.3 Despite this distinct outcome, treatment regimens remain the same for all OPSCC subtypes (smoking-driven and virus-driven), rather than an adaptive approach to what most consider distinct diseases. The short-term effects (e.g., mucositis, odynophagia) and long-term toxicities (e.g., xerostomia, dysphagia, ototoxicity) from treatment substantially affect quality of life, and rival the impact of the cancer itself. Recently published as well as ongoing trials are actively examining deintensification approaches2,4-9, with the goal of diminishing treatment sequelae for HPV(+) subtypes. While deintensification may decrease chemoradiation-related toxicities, it nonetheless may also undertreat a meaningful percentage of HPV(+) patients who may then recur. In examining national trials, 19% of HPV(+) patients had disease progression after therapy, with a two-year survival rate of 60%.10 Current methods to ascertain HPV status involve p16 staining. However, on comparison with gold standard E6/E7 expression by qPCR, p16 harbored a 15% false positivity rate11, suggesting limited utility as a sole biomarker for deintensification. Improved molecular stratification would greatly enhance the clinician’s ability to precisely tailor treatment while minimizing the risk of jeopardizing outcomes. One approach encompasses in-depth proteomic profiling of HPV(+) OPSCC to reveal distinct protein expression profiles and delineate clinically relevant upstream pathways. In turn, these proteomic differences may distinguish higher-risk disease (cases predisposed to recurrence that may benefit from treatment intensification) from lower-risk phenotypes (cases whose treatment response is sufficiently robust to warrant deintensification). Here, two HPV(+) OPSCC cohorts stratified by treatment response are compared via a hybrid data dependent acquisition/data independent acquisition (DDA/DIA) approach via mass spectrometry. We focused on detection of low-abundance proteins to highlight proteomic signatures that can be potentially exploited for treatment stratification.
2022-05-05 | PXD028618 | Pride
Project description:The analysis of the 6 methylomes by MeDIP-Seq comprise 3 HPV+ HNSCC samples and 3 HPV- HNSCC samples
2012-11-01 | GSE38263 | GEO