Abstract

IntroductionRenal 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).MethodsMiRNA 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.ResultsAll 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.ConclusionThe 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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.