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    A multicancer-like syndrome in a dog characterized by p53 and cell cycle-checkpoint kinase 2 (CHK2) mutations and Sirtuin gene (SIRT1) down-regulation

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    INTRODUCTION: We have investigated SIRT1, p53 and cell cycle-checkpoint kinase 2 (CHK2) gene dysfunction in a dog with a multicancer syndrome-like in order to evaluate their potential role in the determinism of the disease and to establish a possible correlation between SIRT1 transcript level and p53 expression status. MATERIAL AND METHODS: Blood sample and tumour samples from a pure breed English Setter dog with different tumours were used for this study. Nucleotide sequence analysis was performed with a DNA autosequencer in order to examine p53 and CHK2 mutations. In addition, the expression level of SIRT1 was quantified by Southern Blot analysis of Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR). RESULTS: Cytological examination revealed five different tumours: a cutaneous sebaceous epithelioma, a cutaneous mast cell tumour, a testicular Sertoli cell tumour, an oral malignant melanoma, and a cutaneous squamous cell carcinoma. Sequencing analysis revealed the presence of a nucleotide substitution, (CGG>CAG) exon 7 of the p53 gene in DNA from peripheral blood mononuclear cells (PBMCs) as well as in the melanoma; whereas the other four cancers showed the loss of the wild-type allele. Furthermore, CHK2 mutation at codon 311 has been identified in the melanoma and sebaceous epithelioma. In addition, SIRT1 cDNA expression decreased in all tumour samples compared to cDNA SIRT1expression level in peripheral blood mononuclear cells (PBMCs) in the same dog. CONCLUSIONS: These results suggest that the germ line mutation of the p53 gene at codon 248 might be, at least, one cause of the multicancer syndrome-like in our dog; furthermore, we show a possible correlation between SIRT1 transcript level and p53 mutations status. The regulatory role of SIRT1 in tumour suppressor pathways suggests that the net effect seen may represent both direct and indirect downstream regulation and it is likely to depend on the presence or absence of functional p53

    Reliability of flow-cytometry in diagnosis and prognostic stratification of myelodysplastic syndromes: correlations with morphology and mutational profile

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    Diagnosis and prognostic stratification of myelodysplastic syndromes (MDS) have been complemented by new techniques, including flow cytometry and NGS. To analyze the relationship between molecular and cytofluorimetric data, we enrolled in this retrospective study, 145 patients, including 106 diagnosed with MDS and 39 controls. At disease onset, immunophenotypic (IF), cytogenetic tests, and cytomorphological (CM) examination on bone marrow were carried out in all patients, while NGS was performed in 58 cases. Ogata score presented a specificity of 100% and a sensitivity of 59%. The detection of at least two phenotypic aberrancies in Ogata negative patients increased the sensitivity to 83% and specificity to 87%. Correlations were identified between IF aberrancies and mutations, including positive Ogata>2 and mutations in SRSF2 (p=0.035), CD15 and U2AF1 (0.032), CD56 and DNMT3A (p=0.042), and CD38 and TP53 (p=0.026). In multivariate analysis, U2AF1 mutations, associated with del(20q) and/or abnormalities of chromosome 7 (group 4 as defined by the EuroMDS score), significantly correlated with an inferior overall survival (p=0.019). These parameters and Ogata score>2 also showed a significant correlation with inferior event-free survival (p=0.023 and p=0.041, respectively). Both CM and FC features correlated with prognosis and mutational patterns. In an integrated MDS work-up, these tools may guide indications for mutational screening for optimal risk stratification

    Apoptosis and immaturity in acute myeloid leukemia

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    The primary cause of treatment failures in acute myeloid leukemia (AML) is the emergence of both resistant disease and early relapse. Among the most frequent agents of these phenomena are defects in the mitochondrial-mediated apoptotic pathway. This pathway is regulated by bcl-2 family of anti-apoptotic (bcl-2, bcl-xl, mcl-1) and pro-apoptotic proteins (bax, bad, bak). In particular, bcl-2 dimerizes with several members of bcl-2 family of proteins, altering the threshold of cell death. The flow cytometric quantitative measurement of bcl-2 and bax expression for the determination of bax/bcl-2 ratio provided crucial clinical information in AML: in our hands, lower bax/bcl-2 ratio conferred a very poor prognosis with decreased rates of complete remission (CR) and overall survival (OS). Moreover, striking correlations were found between lower bax/bcl-2 ratio and higher progenitor marker expression, such as CD34, CD117 and CD133 antigens, confirming the link between this apoptotic index and the maturation pathways. However, the capacity of bax/bcl-2 ratio to clearly identify patients with different prognosis with regard to CR and OS within the CD34+, CD117+ and CD133+ subgroups implies that other mechanisms, such as proliferation and/or cell cycle dysregulation may be involved to explain its clinical significance. Finally, small molecules that target both the receptor- and mitochondrial-mediated pathway of apoptosis are providing encouraging results in patients with relapsed and/or refractory disease (i.e. CDDOMe, bcl-2 antisense oligonucleotides, CEP-701, etc), confirming the key role of apoptotic mechanisms on the outcome of AML patients

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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