83 research outputs found

    A new device to seal large coronary aneurysms: a case report

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    <p>Abstract</p> <p>Introduction</p> <p>Coronary artery aneurysm is an uncommon disease. It is defined as a coronary artery dilatation, exceeding the diameter of the normal adjacent segment or the diameter of the patient's largest coronary vessel by 1.5 to 2 times. Coronary artery aneurysms are typically diagnosed by coronary angiography. The prognosis of coronary artery aneurysm is not well known and the management is challenging.</p> <p>Case presentation</p> <p>A 68-year-old Italian-Caucasian man presented to our hospital with angina. Coronary angiography revealed a large coronary aneurysm of the right coronary artery, which was successfully treated by the percutaneous implantation of an MGuard™stent.</p> <p>Conclusion</p> <p>This case report provides evidence that coronary artery aneurysms, even if very large, can be safely treated by MGuard™stent implantation. We strongly emphasize the high flexibility and good deliverability of this device, which leads to the complete exclusion of the aneurysm mediated by the process of endothelization of its thin mesh sleeves.</p

    Molecular genetics of familial hypercholesterolemia in Israel-revisited

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    BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is an autosomal dominant disease caused by mutations in the genes for LDL receptor (LDLR), apolipoprotein B (APOB) and proprotein convertase subtilisin/kexin type9 (PCSK9). The purpose of the current investigation was to define the current spectrum of mutations causing FH in Israel. METHODS: New families were collected through the MEDPED (Make Early Diagnosis Prevent Early Death) FH program. Molecular analysis of the LDLR, PCSK9 and APOB genes was done using High Resolution Melt and direct sequencing in 67 index cases. A 6-SNP LDL-C gene score calculation for polygenic hypercholesterolaemia was done using TaqMan genotyping. RESULTS: Mean serum cholesterol was 7.48 ¹ 1.89 mmol/L and the mean serum LDL-C was 5.99 ¹ 1.89 mmol/L. Mutations in the LDLR and APOB gene were found in 24 cases (35.8%), with 16 in LDLR, none in PCSK9 and one, p.(R3527Q), in the APOB gene, which is the first APOB mutation carrier identified in the Israeli population. Of the LDLR mutations, two were novel; p.(E140A) and a promoter variant, c.-191C > A. The c.2479G > A p.(V827I) in exon 17 of the LDLR gene was found in 8 patients (33.3% of the mutations) with modestly elevated LDL-C, but also in a compound heterozygous patient with a clinical homozygous FH phenotype, consistent with this being a "mild" FH-causing variant. A significantly higher 6-SNP LDL-C score was found in mutation-negative cases compared with a normal Caucasian cohort (p = 0.03), confirming that polygenic inheritance of common LDL-C raising SNPs can produce an FH phenocopy. CONCLUSIONS: The results indicate a different spectrum of genetic causes of FH from that found previously, in concordance with the heterogeneous and changing origins of the Israeli population, and confirm that a polygenic cause is also contributing to the FH phenotype in Israel

    A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis

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    Patients with newly diagnosed multiple myeloma (NDMM) with high-risk disease are in need of new treatment strategies to improve the outcomes. Multiple clinical, cytogenetic, or gene expression features have been used to identify high-risk patients, each of which has significant weaknesses. Inclusion of molecular features into risk stratification could resolve the current challenges. In a genome-wide analysis of the largest set of molecular and clinical data established to date from NDMM, as part of the Myeloma Genome Project, we have defined DNA drivers of aggressive clinical behavior. Whole-genome and exome data from 1273 NDMM patients identified genetic factors that contribute significantly to progression free survival (PFS) and overall survival (OS) (cumulative R2 = 18.4% and 25.2%, respectively). Integrating DNA drivers and clinical data into a Cox model using 784 patients with ISS, age, PFS, OS, and genomic data, the model has a cumlative R2 of 34.3% for PFS and 46.5% for OS. A high-risk subgroup was defined by recursive partitioning using either a) bi-allelic TP53 inactivation or b) amplification (≥4 copies) of CKS1B (1q21) on the background of International Staging System III, comprising 6.1% of the population (median PFS = 15.4 months; OS = 20.7 months) that was validated in an independent dataset. Double-Hit patients have a dire prognosis despite modern therapies and should be considered for novel therapeutic approaches

    The apobec mutational activity in multiple myeloma: from diagnosis to cell lines

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    Next generation sequencing (NGS) studies have highlighted the role of aberrant activity of APOBEC DNA deaminases in generating the mu- tational repertoire of multiple myeloma (MM). However, the contribu- tion of this mutational process across the landscape of plasma cell dyscrasias, or its prognostic role, has never been investigated in detail. To answer these unexplored aspects of MM biology, we used published NGS data from our own work as well as others, including the large CoMMpass trial for a total of 1153 whole-exomes of MM. Furthermore, we investigated 5 MGUS, 6 primary plasma cell leukemias (pPCL) and 18 MM cell lines (MMCL). Overall, we identified signatures of two mu- tational processes, one related to spontaneous deamination of methy- lated cytosines (30% of variants, range 0-100%) and one attributed to aberrant APOBEC activity (70% of variants, range 0-100%). APOBEC contribution was extremely heterogeneous among MM patients, but was correlated with a higher mutational burden (r=0.71, p=<0.0001) and with MAF gene translocations t(14;16) and t(14;20). The activity of APOBEC increased from MGUS to MM to pPCL, both in terms of ab- solute number of mutations and as percentage contribution. In MMCL we instead observed a bi-modal distribution whereby 8 cell lines showed the highest numbers of mutations caused by APOBEC (5/8 car- ried MAF translocations), while 10 where virtually devoid of APOBEC mutations (0/10 carried MAF translocations). The contribution of APOBEC to the total mutational repertoire in MM had a clear prognos- tic impact. MM patients with APOBEC mutations in the lowest quartile had a survival advantage over patients with APOBEC mutations in the highest quartile both in terms of progression-free survival (3-y PFS 46% vs 67% months, p=<0.0001) and overall survival (3-y OS 52% vs 83%, p=0.0084). This association was retained in a multivariate model that included age, gender, cytogenetic class, ISS, and quartiles of mutational load both in PFS [p=0.02, HR 2.06 (95IC 1.11-3.81] and OS [p=0.02, HR 2.88 (95IC 1.17-7.09)]. Interestingly we found that APOBEC mutations in the 4th quartile retained its independent prognostic respect to high mutational load and presence of MAF translocations. Overall, our data suggest that APOBEC-mediated mutagenesis is strongly involved in MM pathogenesis and its activity persists during different phases of evolution, playing a critical role in MM genomic complexity, and im- pacting prognosis of the patients

    A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis

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    Patients with newly diagnosed multiple myeloma (NDMM) with high-risk disease are in need of new treatment strategies to improve the outcomes. Multiple clinical, cytogenetic, or gene expression features have been used to identify high-risk patients, each of which has significant weaknesses. Inclusion of molecular features into risk stratification could resolve the current challenges. In a genome-wide analysis of the largest set of molecular and clinical data established to date from NDMM, as part of the Myeloma Genome Project, we have defined DNA drivers of aggressive clinical behavior. Whole-genome and exome data from 1273 NDMM patients identified genetic factors that contribute significantly to progression free survival (PFS) and overall survival (OS) (cumulative R2 = 18.4% and 25.2%, respectively). Integrating DNA drivers and clinical data into a Cox model using 784 patients with ISS, age, PFS, OS, and genomic data, the model has a cumlative R2 of 34.3% for PFS and 46.5% for OS. A high-risk subgroup was defined by recursive partitioning using either a) bi-allelic TP53 inactivation or b) amplification ( 654 copies) of CKS1B (1q21) on the background of International Staging System III, comprising 6.1% of the population (median PFS = 15.4 months; OS = 20.7 months) that was validated in an independent dataset. Double-Hit patients have a dire prognosis despite modern therapies and should be considered for novel therapeutic approaches

    Hypocalcemia during magnesium therapy for obstetric ICU admissions

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    Non-overlapping Control of Transcriptome by Promoter- and Super-Enhancer-Associated Dependencies in Multiple Myeloma

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    Summary: The relationship between promoter proximal transcription factor-associated gene expression and super-enhancer-driven transcriptional programs are not well defined. However, their distinct genomic occupancy suggests a mechanism for specific and separable gene control. We explored the transcriptional and functional interrelationship between E2F transcription factors and BET transcriptional co-activators in multiple myeloma. We found that the transcription factor E2F1 and its heterodimerization partner DP1 represent a dependency in multiple myeloma cells. Global chromatin analysis reveals distinct regulatory axes for E2F and BETs, with E2F predominantly localized to active gene promoters of growth and/or proliferation genes and BETs disproportionately at enhancer-regulated tissue-specific genes. These two separate gene regulatory axes can be simultaneously targeted to impair the myeloma proliferative program, providing an important molecular mechanism for combination therapy. This study therefore suggests a sequestered cellular functional control that may be perturbed in cancer with potential for development of a promising therapeutic strategy. : Uncontrolled proliferation is a hallmark of tumorigenesis and is associated with perturbed transcriptomic profile. Fulciniti et al. explored the interrelationship between E2F transcription factors and BET transcriptional co-activators in multiple myeloma, reporting the existence of two distinct regulatory axes that can be synergistically targeted to impact myeloma growth and survival. Keywords: multiple myeloma, transcription factor, transcriptional regulation, super-enhancer
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