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Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization

OBJECTIVES: To improve the overall accuracy of diagnosis in needle biopsies of renal masses, especially small renal masses (SRMs), using fluorescence in situ hybridization (FISH), and to develop a renal cortical neoplasm classification decision tree based on genomic alterations detected by FISH. PAT...

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Autores principales: Gowrishankar, Banumathy, Cahill, Lynnette, Arndt, Alexandra E, Al-Ahmadie, Hikmat, Lin, Oscar, Chadalavada, Kalyani, Chaganti, Seeta, Nanjangud, Gouri J, Murty, Vundavalli V, Chaganti, Raju S K, Reuter, Victor E, Houldsworth, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4257075/
https://www.ncbi.nlm.nih.gov/pubmed/24467611
http://dx.doi.org/10.1111/bju.12643
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author Gowrishankar, Banumathy
Cahill, Lynnette
Arndt, Alexandra E
Al-Ahmadie, Hikmat
Lin, Oscar
Chadalavada, Kalyani
Chaganti, Seeta
Nanjangud, Gouri J
Murty, Vundavalli V
Chaganti, Raju S K
Reuter, Victor E
Houldsworth, Jane
author_facet Gowrishankar, Banumathy
Cahill, Lynnette
Arndt, Alexandra E
Al-Ahmadie, Hikmat
Lin, Oscar
Chadalavada, Kalyani
Chaganti, Seeta
Nanjangud, Gouri J
Murty, Vundavalli V
Chaganti, Raju S K
Reuter, Victor E
Houldsworth, Jane
author_sort Gowrishankar, Banumathy
collection PubMed
description OBJECTIVES: To improve the overall accuracy of diagnosis in needle biopsies of renal masses, especially small renal masses (SRMs), using fluorescence in situ hybridization (FISH), and to develop a renal cortical neoplasm classification decision tree based on genomic alterations detected by FISH. PATIENTS AND METHODS: Ex vivo fine needle aspiration biopsies of 122 resected renal cortical neoplasms were subjected to FISH using a series of seven-probe sets to assess gain or loss of 10 chromosomes and rearrangement of the 11q13 locus. Using specimen (nephrectomy)-histology as the ‘gold standard’, a genomic aberration-based decision tree was generated to classify specimens. The diagnostic potential of the decision tree was assessed by comparing the FISH-based classification and biopsy histology with specimen histology. RESULTS: Of the 114 biopsies diagnostic by either method, a higher diagnostic yield was achieved by FISH (92 and 96%) than histology alone (82 and 84%) in the 65 biopsies from SRMs (<4 cm) and 49 from larger masses, respectively. An optimized decision tree was constructed based on aberrations detected in eight chromosomes, by which the maximum concordance of classification achieved by FISH was 79%, irrespective of mass size. In SRMs, the overall sensitivity of diagnosis by FISH compared with histopathology was higher for benign oncocytoma, was similar for the chromophobe renal cell carcinoma subtype, and was lower for clear-cell and papillary subtypes. The diagnostic accuracy of classification of needle biopsy specimens (from SRMs) increased from 80% obtained by histology alone to 94% when combining histology and FISH. CONCLUSION: The present study suggests that a novel FISH assay developed by us has a role to play in assisting in the yield and accuracy of diagnosis of renal cortical neoplasms in needle biopsies in particular, and can help guide the clinical management of patients with SRMs that were non-diagnostic by histology.
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spelling pubmed-42570752014-12-12 Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization Gowrishankar, Banumathy Cahill, Lynnette Arndt, Alexandra E Al-Ahmadie, Hikmat Lin, Oscar Chadalavada, Kalyani Chaganti, Seeta Nanjangud, Gouri J Murty, Vundavalli V Chaganti, Raju S K Reuter, Victor E Houldsworth, Jane BJU Int Urological Oncology OBJECTIVES: To improve the overall accuracy of diagnosis in needle biopsies of renal masses, especially small renal masses (SRMs), using fluorescence in situ hybridization (FISH), and to develop a renal cortical neoplasm classification decision tree based on genomic alterations detected by FISH. PATIENTS AND METHODS: Ex vivo fine needle aspiration biopsies of 122 resected renal cortical neoplasms were subjected to FISH using a series of seven-probe sets to assess gain or loss of 10 chromosomes and rearrangement of the 11q13 locus. Using specimen (nephrectomy)-histology as the ‘gold standard’, a genomic aberration-based decision tree was generated to classify specimens. The diagnostic potential of the decision tree was assessed by comparing the FISH-based classification and biopsy histology with specimen histology. RESULTS: Of the 114 biopsies diagnostic by either method, a higher diagnostic yield was achieved by FISH (92 and 96%) than histology alone (82 and 84%) in the 65 biopsies from SRMs (<4 cm) and 49 from larger masses, respectively. An optimized decision tree was constructed based on aberrations detected in eight chromosomes, by which the maximum concordance of classification achieved by FISH was 79%, irrespective of mass size. In SRMs, the overall sensitivity of diagnosis by FISH compared with histopathology was higher for benign oncocytoma, was similar for the chromophobe renal cell carcinoma subtype, and was lower for clear-cell and papillary subtypes. The diagnostic accuracy of classification of needle biopsy specimens (from SRMs) increased from 80% obtained by histology alone to 94% when combining histology and FISH. CONCLUSION: The present study suggests that a novel FISH assay developed by us has a role to play in assisting in the yield and accuracy of diagnosis of renal cortical neoplasms in needle biopsies in particular, and can help guide the clinical management of patients with SRMs that were non-diagnostic by histology. BlackWell Publishing Ltd 2014-12 2014-07-15 /pmc/articles/PMC4257075/ /pubmed/24467611 http://dx.doi.org/10.1111/bju.12643 Text en © 2014 The Authors. BJU International published by John Wiley & Sons Ltd on behalf of BJU International. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Urological Oncology
Gowrishankar, Banumathy
Cahill, Lynnette
Arndt, Alexandra E
Al-Ahmadie, Hikmat
Lin, Oscar
Chadalavada, Kalyani
Chaganti, Seeta
Nanjangud, Gouri J
Murty, Vundavalli V
Chaganti, Raju S K
Reuter, Victor E
Houldsworth, Jane
Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
title Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
title_full Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
title_fullStr Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
title_full_unstemmed Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
title_short Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
title_sort subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
topic Urological Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4257075/
https://www.ncbi.nlm.nih.gov/pubmed/24467611
http://dx.doi.org/10.1111/bju.12643
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