AIMS: Better understanding of neuroblastoma genetics will improve with genome-wide techniques. However, performing these analyses in samples with <60% neuroblast cells is not adequate. We evaluated the utility of fluorescence in situ hybridization (FISH) on tissue microarrays (TMA) in detecting partial genetic instability (PGI), focusing on samples with ≤50% neuroblast cells. METHODS AND RESULTS: Alterations of 11q and 17q were detected by FISH on 369 neuroblastoma samples in TMA. Status of the MYCN gene and 1p36 region has been established previously by FISH diagnosis. Partial genetic instability (PGI) was defined as the ratio between segmental genetic alterations detected and number of genetic markers diagnosed in each tumour. Of primary tumours, 14.6% harboured 11q deletions, whereas 42.6% showed 17q gain. PGI was established in 260 primary tumours, 67 of which contained ≤50% neuroblasts. Outcomes were statistically worse for patients whose tumours presented high PGI (P < 0.0001). Multivariate analysis revealed moderate and high PGI as prognostic factors. CONCLUSIONS: In the cohort examined in this study, univariate and multivariate analysis confirmed the effect of PGI in patient outcome. PGI established by FISH on TMA is a useful method to identify high-risk patients even if tumours have a cell content of ≤50% neuroblast cells.
AIMS: Better understanding of neuroblastoma genetics will improve with genome-wide techniques. However, performing these analyses in samples with <60% neuroblast cells is not adequate. We evaluated the utility of fluorescence in situ hybridization (FISH) on tissue microarrays (TMA) in detecting partial genetic instability (PGI), focusing on samples with ≤50% neuroblast cells. METHODS AND RESULTS: Alterations of 11q and 17q were detected by FISH on 369 neuroblastoma samples in TMA. Status of the MYCN gene and 1p36 region has been established previously by FISH diagnosis. Partial genetic instability (PGI) was defined as the ratio between segmental genetic alterations detected and number of genetic markers diagnosed in each tumour. Of primary tumours, 14.6% harboured 11q deletions, whereas 42.6% showed 17q gain. PGI was established in 260 primary tumours, 67 of which contained ≤50% neuroblasts. Outcomes were statistically worse for patients whose tumours presented high PGI (P < 0.0001). Multivariate analysis revealed moderate and high PGI as prognostic factors. CONCLUSIONS: In the cohort examined in this study, univariate and multivariate analysis confirmed the effect of PGI in patient outcome. PGI established by FISH on TMA is a useful method to identify high-risk patients even if tumours have a cell content of ≤50% neuroblast cells.
Authors: Eva Villamón; Ana P Berbegall; Marta Piqueras; Irene Tadeo; Victoria Castel; Anna Djos; Tommy Martinsson; Samuel Navarro; Rosa Noguera Journal: PLoS One Date: 2013-01-14 Impact factor: 3.240
Authors: Ana P Berbegall; Eva Villamón; Irene Tadeo; Tommy Martinsson; Adela Cañete; Victoria Castel; Samuel Navarro; Rosa Noguera Journal: Neoplasia Date: 2014-06 Impact factor: 5.715