Ontology highlight
ABSTRACT:
PROVIDER: PRJNA493709 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7939950.fastq.gz | Fastqsanger.gz | |||
| SRR7939950_1.fastq.gz | Fastqsanger.gz | |||
| SRR7939950_2.fastq.gz | Fastqsanger.gz | |||
| SRR7939960.fastq.gz | Fastqsanger.gz | |||
| SRR7939960_1.fastq.gz | Fastqsanger.gz |
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Project description:The skin serves as a barrier to the environment and is constantly exposed to viral pathogens. Whether viral pathogens contribute to the oncogenesis of rare skin cancers has not been systematically explored. Here, we analyzed 18 skin cancer types by exploiting off-target reads from commonly available next-generation sequencing data. We identified human papillomavirus 42 (HPV42) in all digital papillary adenocarcinoma (DPA) cases but not in any of 11,091 tumors from common cancer types. HPV42 was previously not described as an oncogenic driver, yet we show that HPV42 recapitulates the molecular hallmarks of oncogenic HPVs. Using a machine learning approach, we identified a conserved transcriptomic fingerprint of HPV transformation common to oncogenic HPVs, including HPV42. Collectively, our results establish HPV42 as an oncogenic HPV, which has implications for the diagnosis and treatment for DPA patients.
2022-10-18 | PXD031764 | Pride
Project description:Introduction: Human Papilloma Virus (HPV) is associated with a subset of head and neck squamous cell carcinoma (HNSCC), between 15% and 35% of HNSCC harboring HPV, almost exclusively of subtype 16. Demographic and exposure differences between HPV-positive (+) and negative (-) HNSCCs suggest that HPV(+) tumors may constitute a subclass with different biology, while clinical differences have also been observed. In this study, gene expression profiles of HPV(+) and (-) tumors were compared to further explore the biological effect of HPV in HNSCC. Methods: Thirty-six HNSCC tumors were analyzed for gene expression using Affymetrix Human 133U Plus 2.0 GeneChip and for HPV using consensus primers for HPV L1, E6 and E7 by PCR and RT-PCR. Results: Eight (22%) of 36 tumors were positive for HPV, all of the HPV 16 subtype, and the HPV positive samples also expressed viral HPV E6 mRNA determined by RT-PCR. Patients with HPV(+) HNSCCs were on average younger than those with HPV(-) tumors (mean age 50.2 vs. 58.7). Statistical analysis using Significance Analysis of Microarrays (SAM) based on HPV status as a supervising parameter resulted in a list of 91 genes that were differentially expressed with statistical significance. Results for a sub-set of these genes were verified by RT-PCR. Genes highly expressed in HPV(+) samples included cell cycle regulators (p16INK4A, p18 and CDK2) and transcription factors (TAF7L, RFC4, RPA2 and TFDP2). The microarray data were also investigated using DIGMap to map genes by chromosomal location. A large number of genes on chromosome 3q24-qter was found to be overrepresented in HPV(+) tumors. Conclusion: The gene expression profile associated with HPV reflects alterations in cell cycle and proliferation signals. Further investigation of differentially expressed genes may reveal the unique pathways in HPV(+) tumors that may explain the different natural history and biological properties of these tumors. These properties may be exploited as a target of novel therapeutic agents in HNSCC treatment. Keywords: HPV, HNSCC, head and neck cancer, human, human papilloma virus
2005-11-28 | GSE3292 | GEO
Project description:Human papillomaviruses (HPV) preferentially infect keratinocytes of mucous membranes or skin and cause numerous benign and malignant lesions at different anatomical locations. We sequenced small RNA (sRNA) libraries of two HPV 16 immortalized cell lines and ten formalin fixed paraffin embedded (FFPE) tissue samples from HPV infected cervical epithelium by SOLiD 4 technology.
2020-06-30 | GSE62239 | 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.
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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.
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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:Purpose: There is substantial heterogeneity within the human papillomavirus (HPV) positive head and neck cancer (HNC) tumors that predispose them to different outcomes, however this subgroup is poorly characterized due to various historical reasons. Experimental Design: we perform unsupervised gene expression clustering on well-annotated HPV(+) HNC samples from two cohorts ( 84 total primary tumors), as well as 18 HPV(-) HNCs, to discover subtypes, and begin to characterize the differences between the subtypes in terms of their HPV characteristics, pathway activity, whole-genome somatic copy number variations and mutation frequencies. Results: We identified two distinctive HPV(+) subtypes by unsupervised clustering. Membership in the HPV(+) subtypes correlates with genic viral integration status, E2/E4/E5 expression levels and the ratio of spliced to full length HPV oncogene E6. The subtypes also show differences in copy number alterations, in particular the loss of chr16q and gain of chr3q, PIK3CA mutation, and in the expression of genes involved in several biological processes related to cancer, including immune response, oxidation-reduction process, and keratinocyte and mesenchymal differentiation. Conclusion: Our characterization of two subtypes of HPV(+) tumors provides valuable molecular level information in relation to the alternative paths to tumor development and to that of HPV(-) HNCs. Together, these results will shed light on stratifications of the HPV(+) HNCs and will help to guide personalized care for HPV(+) HNC patients.
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Project description:Approximately 25% of all head and neck cancers (HNC), and up to 60% of oropharyngeal cancers (OPC) are associated with human papillomavirus (HPV), predominantly HPV16. HPV-associated OPC have better prognosis and a more favorable response to therapy as compared to HPV-negative tumors. Viral oncoproteins are capable of transforming primary human keratinocytes from either genital or oral epithelia in vitro and most likely play the same role in vivo, by disrupting cell-cycle regulatory pathways leading to a genetic progression to ano-genital cancer and OPC. However, the precise mechanisms by which HPV mediates malignant transformation of keratinocytes in the upper digestive tract epithelia are not entirely clear. HPV E7-mediated inactivation of pRb results in overexpression of p16INK4A, which is commonly used as a clinical surrogate marker for HPV positivity/activity. However, high p16INK4A alone has insufficient sensitivity and specificity as a biomarker of HPV positivity in different mucosal sub-sites of HNC. Therefore, increasing emphasis is being placed on the assessment of viral load and E7 oncogene expression, resulting in further classification of HPV positive OPC as HPV-active and HPV-inactive. Differences in risk factors, age of presentation, clinical behavior and gene expression profiles indicate that HPV-positive and HPV-negative tumors develop via different molecular mechanisms and are biologically distinct. According to some reports, the rate of HPV-associated tumors is much lower in AA patients as compared to EA patients in United States. This study aimed to compare the gene expression profiles of HPV-active, -inactive and -negative OPCs from european american patients, and determine their biological differences. ANALYSIS 3: Three-condition, one-color experiment: HPV-active, HPV-inactive and HPV-negative oropharyngeal tumor samples from european american patients. Biological replicates: 8 HPV Negative Tumors. 4 HPV Inactive Tumors. 11 HPV Active Tumors.
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