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The identification of new cryptic deletions and duplications can be used to improve prognostic classification in cancer. To obtain accurate results, it is necessary to discriminate between somatic alterations in the tumor cell and germline polymorphisms. For this purpose, copy number variation (CNV) public databases have been used as a reference. Nevertheless, the use of these databases may lead to erroneous results. Our main goal was to explore the limitations of the use of CNV databases, such as the Database of Genomic Variants (DGV), as the reference. To that end, we used pediatric acute lymphoblastic leukemia (ALL) as a model. We analyzed the genome-wide copy number profile of 23 ALL patients and conducted a comparison of the results obtained using the DGV with those obtained using the normal sample from the patient as the reference. Using only the DGV, 19% of alterations and 41% of polymorphisms were erroneously catalogued. Our results support the hypothesis that with the use of databases such as the DGV as the reference, a high percentage of the variations can be erroneously classified., (Copyright © 2014 Elsevier Inc. All rights reserved.)

The World Health Organization (WHO) classification of tumors of hematopoietic and lymphoid tissues (2001) defined a provisional entity named refractory anemia with ringed sideroblasts associated to marked thrombocytosis (RARS-MT). Diagnosis of RARS-MT requires more than 15% of ringed sideroblasts in bone marrow aspirate and the existence of a thrombocytosis in blood, with a platelet count above 600 x 10(9)/L. Nevertheless, controversy exists regarding this platelet count "cut-off" value and, when RARS-MT was defined, the JAK2 mutation and its importance in the study of myeloproliferative disorders was unknown. We present the results of a Spanish retrospective multicentric study, which includes 76 cases of RARS with associated thrombocytosis (platelet count above 400 x 10(9)/L) at diagnosis (RARS-T), 36 of them with a platelet count above 600 x 10(9)/L. Our aim was to analyze their clinical, analytical and morphological characteristics, and to establish correlations with the JAK2 mutational status.