Project description:In summary, we have validated differential expression of several miRs, namely two that are downregulated in all BCC subtypes compared to control skin (miR.383.5p, miR.145.5p), two that are downregulated in superficial BCC (miR.181c.5p, miR.181b.5p) relative to nodular and infiltrative BCC, and several that are upregulated in infiltrative BCC relative to superficial BCC (miR.22.5p, miR.18a.3p, miR.708.5p, miR.758.3p, miR.30c.5p), and two that are upregulated in infiltrative BCC relative to nodular BCC (miR.22.5p, miR.758.3p). To our knowledge, this study has investigated and validated the largest number of BCC tumors representing the different subtypes.
Project description:microRNA signatures with diagnosis, distant metastasis and prognosis for nasopharyngeal carcinoma 62 nasopharyngeal carcinoma and 6 non-cancer nasopharyngitis fresh tissues were detected by microRNA microarray
Project description:Renal cell carcinoma is the most common neoplasm of the adult kidney. A few subtypes of RCC include papillary RCC (pRCC), chromophobe RCC (chRCC) and the benign oncocytoma tumor. In some cases, distinguishing between the RCC subyptes is difficult. We performed a mircroRNA (miRNA) microarray to determine differential miRNA expression between pRCC, chRCC, and oncocytoma. We performed a miRNA microarray on 10 tumor samples of each papillary renal cell carcinoma (pRCC), chromophobe renal cell carcinoma (chRCC), and oncocytoma.
Project description:RNA-seq was used to identify basal and luminal subtypes in canine bladder cancer. In addition to larger gene-sets, a smaller panel of genes was developed to stratify canine samples into either basal or luminal subtype prospectively. Immune signature patterns were queried in basal and luminal subtypes.
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.