Project description:To further exploration of pathological progress in mucoepidermoid carcinoma, we have employed lncRNA microarray expression profiling and coding transcripts as a discovery platform to identify genes or lncRNAs with the potential to mediate the tumorigenesis of mucopidermoid carcinoma. Normal salivary glands were used as controls.
2024-10-24 | GSE262344 | GEO
Project description:Characterization of the CRTC1-MAML2 rearrangement structure in Mucoepidermoid Carcinoma
Project description:genomic analysis using arrayCGH to gain insight into chromosomal copy number in mucoepidermoid carcinoma (MEC). Results suggest that two types of MECs can be distinguished: (i) a group of MECs without t(11;19)(q21;p13) translocation with many copy number aberrations (> 6), independent of histological grade, and (ii) a group of MECs with the t(11;19)(q21;p13) translocation with no or a few copy number aberrations (<6 ) with two exceptions classified as low and intermediate grade.
Project description:The aim to the study was to elucidate the character of Clear cell odontogenic carcinoma cell line in comparison with mucoepidermoid carcinoma cell line by carrying out a geome-wide expression analysis.
Project description:Gene expression profiling was performed on control and long intergenic non-protein coding RNA 473 (LINC00473)-depleted human mucoepidermoid carcinoma H3118 cells, and differentially expressed genes after LINC00473 depletion were identified.
Project description:Using high-resolution oligonucleotide arrayCGH, FISH, and RT-PCR we have performed a comprehensive analysis of genomic imbalances, and CRTC1-MAML2 gene fusion status in a series of 28 well characterized mucoepidermoid carcinomas (MECs) with the aims to identify distinct differences in genomic profiles and CRTC1-MAML2 gene fusion status between low- and high-grade MECs.
2012-12-31 | GSE36282 | GEO
Project description:The molecular landscape of breast mucoepidermoid carcinoma
Project description:Phenotypic and genomic characterization of Early Stage Breast Carcinoma using Training set (n=109) Validation set (n=105) of SNP6 arrays