Whole genome methylation profiliing between the IMU and KRT subtypes of HPV-associated head and neck cell carcinoma (HNSCC)
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ABSTRACT:
PROVIDER: PRJNA747278 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15177534.fastq.gz | Fastqsanger.gz | |||
| SRR15177536.fastq.gz | Fastqsanger.gz | |||
| SRR15177539.fastq.gz | Fastqsanger.gz | |||
| SRR15177543.fastq.gz | Fastqsanger.gz | |||
| SRR15177545.fastq.gz | Fastqsanger.gz |
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Project description:The involvement of microRNAs (miRNAs) in cancer and their potential as biomarkers of diagnosis, prognosis and response to therapy is becoming increasingly appreciated. The etiology of head and neck squamous cell carcinoma (HNSCC) is predominantly associated with the synergistic effects of tobacco and alcohol use, as well as Human Papilloma Virus (HPV) infection, which embodies a distinct clinical and biological phenotype. We sought to examine whether the profile of miRNAs in HNSCC varies based on HPV status, and to identify specific miRNAs altered in head and neck carcinogenesis. Total RNA was isolated from 16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines. The miRNA profile of 662 individual miRNAs in these tissues was examined by microarray. 18 miRNAs are significantly altered in their expression between normal tissues and HNSCC tumors and 5 miRNAs are identified as significantly differentially expressed between HPV-positive (HPV+) and HPV-negative (HPV-) tumors. A striking difference in expression pattern of miRNA was also observed between primary tissues and cell lines. These data suggest that the pattern of miRNA expression may be reflective of disease etiology, and may be useful in the realm of diagnostic biomarkers defining broadly responsive prevention and treatment strategies for HNSCC. These data also suggest that cultured tumor cell lines may be inappropriate for novel miRNA biomarker identification. Keywords: miRNA; Disease-state analysis Expression of 662 individual miRNA was assessed in16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines were arrayed
2010-05-19 | E-GEOD-11163 | biostudies-arrayexpress
Project description:The involvement of microRNAs (miRNAs) in cancer and their potential as biomarkers of diagnosis, prognosis and response to therapy is becoming increasingly appreciated. The etiology of head and neck squamous cell carcinoma (HNSCC) is predominantly associated with the synergistic effects of tobacco and alcohol use, as well as Human Papilloma Virus (HPV) infection, which embodies a distinct clinical and biological phenotype. We sought to examine whether the profile of miRNAs in HNSCC varies based on HPV status, and to identify specific miRNAs altered in head and neck carcinogenesis. Total RNA was isolated from 16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines. The miRNA profile of 662 individual miRNAs in these tissues was examined by microarray. 18 miRNAs are significantly altered in their expression between normal tissues and HNSCC tumors and 5 miRNAs are identified as significantly differentially expressed between HPV-positive (HPV+) and HPV-negative (HPV-) tumors. A striking difference in expression pattern of miRNA was also observed between primary tissues and cell lines. These data suggest that the pattern of miRNA expression may be reflective of disease etiology, and may be useful in the realm of diagnostic biomarkers defining broadly responsive prevention and treatment strategies for HNSCC. These data also suggest that cultured tumor cell lines may be inappropriate for novel miRNA biomarker identification. Keywords: miRNA; Disease-state analysis
2008-09-30 | GSE11163 | GEO
Project description:Current classification of head and neck squamous cell carcinomas (HNSCC) based on anatomic site and clinical stage fails to capture biologic heterogeneity or adequately inform treatment. Here we use consensus clustering on 371 HNSCC in three cohorts, including a new cohort of 134 patients with locoregionally advanced HNSCC and 43% HPV(+) tumors to identify five HNSCC subtypes. Subtypes closely correlate with biologic processes (hypoxia, cytotoxic T-cell infiltration, copy number changes, EGFR/HER-ligand phenotype), survival, and HPV-status. Two biologically distinct HPV-associated subtypes are identified. Gene modules of candidate drivers characterize each subtype using the CONEXIC algorithm. The proposed 5-subtype classification provides a biologic basis for future clinical and preclinical studies and lays the groundwork for improved prognostication and therapy development in HNSCC. We use consensus clustering on 371 HNSCC in three cohorts, including a new cohort of 134 patients with locoregionally advanced HNSCC and 43% HPV(+) tumors to identify five HNSCC subtypes.
2015-03-04 | E-GEOD-40774 | 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. 36 head and neck primary tumors (18 HPV+ and 18 HPV-) and their matched blood samples were collected and genotyped by Illumina OmniExpress SNP array. RNA-seq was also performed on the same set of tumor samples.
2016-05-13 | E-GEOD-74927 | biostudies-arrayexpress
Project description:Head and neck squamous cell carcinomas (HNSCC) driven by human papillomavirus (HPV) generally have a more favourable prognosis. We hypothesized that HPV-positive HNSCC may be identified based on a miRNA signature according to their specific molecular pathogenesis and are characterized by a unique transcriptome compared to HPV-negative HNSCC. We characterized the miRNA-expression patterns of the tumors from 229 head and neck squamous cell carcinoma patients by Agilent miRNA microarrays in order to define a HPV-predicting miRNA signature.
2023-05-10 | GSE175509 | GEO
Project description:Current classification of head and neck squamous cell carcinomas (HNSCC) based on anatomic site and clinical stage fails to capture biologic heterogeneity or adequately inform treatment. Here we use consensus clustering on 371 HNSCC in three cohorts, including a new cohort of 134 patients with locoregionally advanced HNSCC and 43% HPV(+) tumors to identify five HNSCC subtypes. Subtypes closely correlate with biologic processes (hypoxia, cytotoxic T-cell infiltration, copy number changes, EGFR/HER-ligand phenotype), survival, and HPV-status. Two biologically distinct HPV-associated subtypes are identified. Gene modules of candidate drivers characterize each subtype using the CONEXIC algorithm. The proposed 5-subtype classification provides a biologic basis for future clinical and preclinical studies and lays the groundwork for improved prognostication and therapy development in HNSCC.
2015-03-04 | GSE40774 | GEO
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:Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous disease whose underlying etiology has not been explained by traditional prognostic factors such as tumor site, stage, or histology. Although previous studies have shown that molecular subtypes of HNSCC exist, the benefit of such a classification scheme has not been fully realized. We show that molecular subtypes of HNSCC exist; that these subtypes have distinct patterns of chromosomal gain and loss, some of which affect canonical oncogenes and tumor suppressors; and that the subtypes are biologically and clinically relevant. These subtypes provide new insight into HNSCC etiology, as well as a valuable method for classifying HNSCC tumors.
2013-03-01 | GSE39366 | GEO
Project description:Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous disease whose underlying etiology has not been explained by traditional prognostic factors such as tumor site, stage, or histology. Although previous studies have shown that molecular subtypes of HNSCC exist, the benefit of such a classification scheme has not been fully realized. We show that molecular subtypes of HNSCC exist; that these subtypes have distinct patterns of chromosomal gain and loss, some of which affect canonical oncogenes and tumor suppressors; and that the subtypes are biologically and clinically relevant. These subtypes provide new insight into HNSCC etiology, as well as a valuable method for classifying HNSCC tumors.
2013-03-01 | GSE39367 | GEO
Project description:We compared the whole-genome methylation profiles between IMU and KRT samples in a 36 HNSCC cohort and identified 270,326 differentially methylated regions (DMRs; FDR < 0.05 and absolute methylation difference >= 20%) between IMU and KRT HPV(+) subtypes.
2022-11-02 | GSE180260 | GEO