Molecular subtypes of head and neck cancer – Prognostic impact and correlations with morphological characteristics
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PROVIDER: PRJNA873742 | ENA |
REPOSITORIES: ENA
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Project description:Aim Treatment options for patients with recurrent or metastatic head and neck squamous cell carcinoma (R/M-HNSCC) are limited. Therefore, prognostic and predictive biomarkers for the application of personalized therapies are urgently needed.
2023-06-01 | GSE212070 | 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. A total of 163 samples were considered. Quality control procedures were applied to microarray probe-level intensity files. A total of 138 tumor arrays remained after removing low-quality arrays, duplicate arrays, and arrays from non-HNSCC samples. The normexp background correction and loess normalization procedures were applied to the probe-level data. After log transformation, probes were matched to a common gene database to produce expression values for 15595 genes.
2013-03-01 | E-GEOD-39366 | biostudies-arrayexpress
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:Quantitative (iTRAQ 4-plex) proteomic analysis of progressive head and neck cancers
2022-03-01 | PXD001438 | Pride
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. A total of 141 samples were considered. CEL files were subject to quality control (QC) procedures using the Affymetrix Genotyping Console, and arrays that produced contrast QC measurements above the default threshold of .4 were removed from subsequent analysis. The remaining 99 CEL files were processed with aroma, and log2 intensity ratios were produced using a pooled collection of normal samples as a reference. After segmenting the log2 ratios with DNAcopy, the resulting copy number profiles were subjected to manual review. Arrays that produced low quality copy number profiles were removed from subsequent analysis. Copy number values from chr1 - chr22 were considered.
2013-03-01 | E-GEOD-39367 | 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:Highly coordinated, deregulated expressions of microRNAs (miRNA) have been implicated in the development of various cancers, including head and neck squamous cell carcinoma (HNSCC). Outside of HPV infection, molecular classification of HNSCC is lacking, and patient stratification by anatomical location and stage does not account for the heterogenous clinical courses seen. Previous studies have proposed molecular classifications based on gene expression, but none describe the role of microRNA expression in HNSCC subtyping. In this study, we identified reliable miRNA clusters that can be used to subclassify HNSCC tumors as well as other squamous tumors of other anatomic locations. An institutional discovery cohort was generated using miRNA expression data from microarrays, and this was validated using publicly available next-generation microRNA sequencing data from TCGA. Further analysis of these subtypes revealed distinct biological and clinical features of HNSCC tumors based on the miRNA expression profiles, which provides new insights into the pathogenesis and treatment of HNSCC.
2020-04-01 | GSE144711 | GEO
Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas. The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 18 normal head and neck samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.
2011-10-27 | E-GEOD-25083 | biostudies-arrayexpress
Project description:MicroRNA-based subtypes in head and neck squamous cell carcinoma
| PRJNA604621 | ENA