Ontology type: schema:ScholarlyArticle
2021-10-21
AUTHORSDisha Kakkar, Saumyaranjan Mallick, Aijaz Ahmad, Ansh Goswami, Sandeep Agarwala, Aditya Kumar Gupta, V. Sreenivas, Sameer Bakhshi, K. Devasenathipathy, Sandeep Mathur, Deepali Jain, Rachana Seth, Venkateswaran K. Iyer
ABSTRACTIntroductionWilms tumor is the most common renal malignancy in children and difficult to differentiate from other paediatric abdominal tumors radiologically, necessitating an invasive procedure for diagnosis. Previous studies have shown the potential role of miRNA as biomarkers for diagnosis, histological subtyping and prognosis. In this study, we are exploring the role of miRNA in the histological subtyping of Wilms tumor in the Indian population.Materials and methodsA total of 15 cases of Wilms tumor were evaluated for global miRNA expression analysis by microarray. Total RNA was extracted from fresh frozen tumor and miRNA expression analysis was performed using Agilent platform. Unsupervised clustering was done to analyse the data.ResultsUsing unpaired student T test, top 10 significantly differentially expressed miRNA were selected which could differentiate among different histological subtypes by unsupervised hierarchical clustering and principal component analysis. The presence of necrosis, heterologous differentiation led to change in miRNA expression profile and led to a distinct cluster formation.ConclusionsA panel of 5 miRNAs (miR1, 133b, 299-3p, 499a-5p, 491-3p) could differentiate among different histological subtypes of Wilms tumor, thus avoiding an invasive procedure in children, however, further confirmation using real time PCR analysis will be needed. More... »
PAGES1-11
http://scigraph.springernature.com/pub.10.1007/s00383-021-05034-6
DOIhttp://dx.doi.org/10.1007/s00383-021-05034-6
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/34674019
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