Molecular Subtypes in Head and Neck Cancer [expression]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE39366 | GEO | 2013/03/01
SECONDARY ACCESSION(S): PRJNA170756
REPOSITORIES: GEO
Similar Datasets
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: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. 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: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:ABSTRACT Two major subgroups of head and neck squamous cell carcinomas (HNSCC) are currently distinguished based on etiology and pattern of genetic alterations; tumors with biologically active human papillomavirus (HPV) and tumors without. It is at present unclear whether additional genetically distinct subgroups exist within HPV-negative HNSCC. Aim of this study is to genetically classify HNSCC without HPV involvement and to correlate the genetically defined classes to tumor and patient characteristics. By means of array comparative genomic hybridization (aCGH) we determined DNA copy number variation in thirty-nine HPV-negative, but further unselected HNSCC. Unsupervised analysis of aCGH data distinguished two genetic groups in HPV-negative HNSCC, one characterized by a low level of chromosomal alterations (N=9), and another by a high level of chromosomal alterations (N=30). Absence of chromosomal aberrations was significantly associated with wild-type TP53, a low level of alcohol consumption, a female gender and a better prognosis. The tumors were negative for microsatellite instability. The discovery of this new class of HNSCC with unique genetic and clinical characteristics has important consequences for future basic and clinical studies. All DNAs are isolated from fresh frozen HNSCC specimen. All tissue specimens were microdissected to obtain at least 90% tumor DNA. All sampels are hybridized against a pool of reference DNA of normal individuals of the opposite gender.
2009-03-11 | E-GEOD-11929 | 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: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:ABSTRACT Two major subgroups of head and neck squamous cell carcinomas (HNSCC) are currently distinguished based on etiology and pattern of genetic alterations; tumors with biologically active human papillomavirus (HPV) and tumors without. It is at present unclear whether additional genetically distinct subgroups exist within HPV-negative HNSCC. Aim of this study is to genetically classify HNSCC without HPV involvement and to correlate the genetically defined classes to tumor and patient characteristics. By means of array comparative genomic hybridization (aCGH) we determined DNA copy number variation in thirty-nine HPV-negative, but further unselected HNSCC. Unsupervised analysis of aCGH data distinguished two genetic groups in HPV-negative HNSCC, one characterized by a low level of chromosomal alterations (N=9), and another by a high level of chromosomal alterations (N=30). Absence of chromosomal aberrations was significantly associated with wild-type TP53, a low level of alcohol consumption, a female gender and a better prognosis. The tumors were negative for microsatellite instability. The discovery of this new class of HNSCC with unique genetic and clinical characteristics has important consequences for future basic and clinical studies.
2009-03-12 | GSE11929 | GEO
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: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