LncRNA Expression Profiling in sinonasal squamous cell carcinomas
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ABSTRACT:
PROVIDER: PRJNA577404 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Long non-coding RNAs (lncRNAs) play important roles in various biological progresses of carcinogenesis. However, the function of lncRNAs in human sinonasal squamous cell carcinoma (SNSCC) remains greatly unclear. In the current study, lncRNA AC091729.7 expression was examined in SNSCC samples by using microarray.The human 8 × 60 K lncRNA array was produced by Arraystar Company (USA). Over 25,000 lncRNAs were gathered from the canonical data sources encompassing UCSC, NCBI RefSeq, RNAdb, and NRED.
2019-10-15 | GSE138809 | GEO
Project description:OBJECTIVE: Although the malignant transformation of sinonasal inverted papilloma (SNIP) into squamous cell carcinomas (SCC) has been reported in the literature, the molecular mechanisms driving this transformation have not been elucidated. This study compares genome-wide DNA methylation between SNIP and SCC arising in SNIP and further validates the expression of aberrantly methylated genes. Methots:We used a comprehensive methylation profiling technique to investigate DNA methylation in CpG islands and promoters in six SNIP samples and seven SCC arising in SNIP samples. A total of 11,201 nominally differentially methylated sites were observed, between SNIP and SCC arising in SNIP. This study is the first to compare the differences in global DNA methylation between SNIP and SCC arising in SNIP.
2019-01-22 | GSE125399 | GEO
Project description:Protein Co-expression Network-based Profiles Revealed from Laser-microdissected Cancerous Cells of Lung Squamous-Cell Carcinomas
2021-07-19 | PXD027381 | JPOST Repository
Project description:The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply machine learning algorithm based on DNA methylation patterns to classify sinonasal tumors with clinical-grade reliability. We further show that sinonasal tumors with SNUC morphology are not as undifferentiated as their current terminology suggests but rather reassigned to four distinct molecular classes defined by epigenetic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SMARCA4/ARID1A mutations with an overall favorable clinical course, whereas tumors that are driven by SMARCB1-deficiency and tumors that represent previously misclassified adenoid cystic carcinomas are highly aggressive. Our findings have the potential to dramatically improve the diagnostic classification of sinonasal tumors and will fundamentally change the current perception of SNUCs.
2022-09-25 | GSE196227 | GEO
Project description:One hundred and seven lung Squamous Cell Carcinomas collected from early stage (stage I+II; AJCC 7th edition) patients at the National Cancer Center Hospital (Tokyo, Japan) between 1997 and 2008 were hybridized to the Human Transcriptome (HT) Array 2.0
2016-09-14 | GSE74777 | GEO
Project description:The histopathological diagnosis of sinonasal tumors is challenging as it encompasses a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we show that a machine learning algorithm based on DNA methylation is able to classify sinonasal tumors with clinical-grade reliability. We further show that tumors with SNUC morphology are not as undifferentiated as their current terminology suggests, but can be assigned to four molecular classes defined by distinct epigenic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SWI/SNF chromatin remodeling complex mutations and overall favorable clinical course, highly aggressive tumors that are driven by SMARCB1-deficiency and tumors that represent previously misclassified adenoid-cystic carcinomas. Our findings have the potential to dramatically improve the diagnostic of challenging sinonasal tumors and could fundamentally change the current perception of SNUCs.
2022-09-25 | GSE189778 | GEO
Project description:Characterizing gene expression patterns in Basal Cell Carcinomas and Squamous Cell Carcinomas
| PRJNA515744 | ENA
Project description:The LC-MS/MS raw data (.mzxml) of nasal polyps and sinonasal squamous cell carcinoma patients.The study utilized 90 datasets from 30 individual nasal tissue samples across three independent experiments (Nasal polyps (NP): 48 datasets, SNSCC: 42 datasets).
2024-08-09 | MSV000095570 | MassIVE
Project description:Transcriptional profiling of ethmoïd tumors samples comparing normal samples from the controlateral sinus. RNA were extracted from biopsies. Sinonasal adenocarcinomas are uncommon tumors developping in ethmoid sinus after wood dust exposure. Although the etiology of these tumors is well defined very little is known regarding the molecular basis of these tumors. In an attempt to identify genes involved in this disease we proceed to a gene expression profiling using cancer-dedicated microarrays, on matched samples of nine sinonasal adenocarcinomas and non-tumoral sinusal tissue. Among the genes with significant differential expression we selected: LGALS4, ACS5, CLU, BAX, PDGFRa, SRI and CCT5 for further exploration by quantitative real-time reverse-transcription-PCR on a larger set of tumors and confirmed the microarray data. Protein expression alterations were shown for LGALS4, ACS5, and CLU by immunohistochemistry. Our results suggest that two genes might be involved in the pathogenesis of these tumors: LGALS4 highly up-regulated, particularly in the most differentiated tumors, and CLU, whose expression was lost. After further evaluation these genes could be used as markers for a better characterization of these tumors and will potentially help to an earlier detection of cancer in woodworkers, who have high risk of developing sinonasal adenocarcinomas.
2009-07-31 | GSE17433 | GEO
Project description:Analyses of gene expression profiling in sinonasal sarcoma (SNS) harboring PAX3-MAML3 fusion gene or PAX3 rearrangement and other types of tumors without having such fusion or rearrangement. The results provide important information for further investigations of the PAX3-MAML3 fusion functions in SNS.
2014-04-17 | GSE52252 | GEO