Disha Kakkar1, Saumyaranjan Mallick1, Aijaz Ahmad1, Ansh Goswami1, Sandeep Agarwala2, Aditya Kumar Gupta3, V Sreenivas4, Sameer Bakhshi5, K Devasenathipathy6, Sandeep Mathur1, Deepali Jain1, Rachana Seth3, Venkateswaran K Iyer7. 1. Department of Pathology, All India Institute of Medical Sciences, New Delhi, 110029, India. 2. Department of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi, 110029, India. 3. Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India. 4. Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, 110029, India. 5. Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, 110029, India. 6. Department of Radiology, All India Institute of Medical Sciences, New Delhi, 110029, India. 7. Department of Pathology, All India Institute of Medical Sciences, New Delhi, 110029, India. iyervenkat4@gmail.com.
Abstract
INTRODUCTION: Wilms 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 METHODS: A 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. RESULTS: Using 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. CONCLUSIONS: A 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.
INTRODUCTION: Wilms 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 METHODS: A 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. RESULTS: Using 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. CONCLUSIONS: A 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.
Authors: Angela Gutierrez-Camino; Elixabet Lopez-Lopez; Idoia Martin-Guerrero; Maria A Piñan; Purificacion Garcia-Miguel; Jose Sanchez-Toledo; Ana Carbone Bañeres; Javier Uriz; Aurora Navajas; Africa Garcia-Orad Journal: Pediatr Res Date: 2014-03-11 Impact factor: 3.756
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