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Profiling miRNAs in Renal Neoplasms for Diagnosis and Biomarker Discovery
Author(s) -
Sam Soya,
Schned Alan R.,
Tsongalis Gregory J.,
Tafe Laura J.
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.53.3
Subject(s) - microrna , clear cell renal cell carcinoma , renal cell carcinoma , carcinogenesis , gene expression profiling , biology , fold change , biomarker , cancer research , kidney cancer , gene chip analysis , computational biology , pathology , bioinformatics , microarray , medicine , cancer , gene expression , gene , genetics
Renal cell carcinoma (RCC) consists of three main histologic subtypes each with a distinct biological behavior and response to current therapeutics. Oncocytomas (OC) are an important differential diagnosis. Altered miRNA expression plays a critical role in tumorigenesis and cancer progression. The objective of this study was to profile miRNA expression signatures of histologically categorized renal neoplasms (RN). Methods MiRNA was isolated from archived samples of a clear cell (ccRCC) and papillary (pRCC) RCC, an OC and normal kidney using the miRNeasy FFPE Kit (Qiagen). MiRNA was tailed and ligated to FlashTag‐Bitoin‐HSR and run on the Affymetrix GeneChip miRNA v3.0 Arrays as per the manufacturer's protocol. Data were analyzed using the Expression Console software and Partek Genomics Suite. Results All 4 specimens had analyzable results. Our initial data demonstrate differential expression of miRNAs in the RN: miR‐210, miR‐1269, and miR‐205 are up‐regulated in ccRCC, miR‐187 is up‐regulated in OC and miR‐31 is up‐regulated in pRCC. Conclusion The GeneChip miRNA 3.0 Array includes 1733 mature human miRNAs and can be used with FFPE. MiRNA profiling of RN is warranted to generate an algorithm to accurately subtype small biopsies and histologically challenging cases for treatment stratification.