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A previous genome-wide association study (GWAS) identified common variation at the BARD1 locus as being highly associated with susceptibility to high-risk neuroblastoma, but the mechanisms underlying this association have been not extensively investigated. Here, we performed a fine mapping analysis of BARD1 locus (2q35) using GWAS data from 556 high-risk neuroblastoma patients and 2,575 controls of European-American ancestry, and identified two independent genome-wide neuroblastoma-associated loci. Functional single-nucleotide polymorphism (SNP) prioritization identified two causative variants that independently contributed to neuroblastoma risk, and each replicated robustly in multiple independent cohorts comprising 445 high-risk cases and 3,170 controls (rs17489363: combined p = 1.07 × 10 −31 , OR:1.79, 95% CI:1.62–1.98 and rs1048108: combined p = 7.27 × 10 −14 , OR:0.65, 95% CI:0.58–0.73). Particularly, the T risk allele of rs17489363 in the canonical promoter region of full-length BARD1 altered binding site of the transcription factor HSF1 and correlated with low expression of full-length BARD1 mRNA and protein. Low-level expression of full-length BARD1 associated with advanced neuroblastoma. In human neuroblastoma cells, attenuating full-length BARD1 increased proliferation and invasion capacity. In conclusion, we have identified two potentially causative SNPs at the BARD1 locus associated with predisposition to high-risk neuroblastoma, and have shown that full-length BARD1 may act as tumor suppressor.

The author affiliation for both Guido Iaccarino and Michele Ciccarelli is Medicine, Surgery and Dentistry, Scuola Medica Salernitana, University of Salerno. The currently mentioned affiliations (Department of Advanced Biomedical SciencesFederico II University NaplesItaly and IRCCS SDN Istituto di Ricerca Diagnostica e Nucleare Naples Italy respectively) are not correct.

Additional file 1. The supplementary document contains detailed information on the methods used, supplementary figures and tables.

Background Schizophrenia (SCZ) is a debilitating mental illness characterized by a highly complex, heterogeneous, non-mendelian genetic background. Recent progress in dissecting genetic architecture of SCZ has accelerated over the last decade due to new advanced technologies. Genome-Wide Association Studies (GWAS) on extremely large samples of patients identified and replicated hundreds of Single-Nucleotide Polymorphism (SNPs), each exhibiting only a modest effect. The analysis of genomic Copy Number Variations (CNVs) clarified the role of rare structural variants conferring significant risk by disrupting multiple genes involved in neurodevelopmental pathways, and linked to SCZ. In this scenario, the aim of our study is to carry out a genetic characterization of a cohort of patients affected by SCZ, in order to assess the risk of recurrence, to elucidate putative pathogenetic mechanisms and, whenever possible, to conceive tailored interventions and therapies. Methods 34 patients (8 women and 26 men) affected by SCZ and admitted to Day Hospital at Psychiatric Division for Treatment Resistant Psychosis of the University of Naples Federico II were recruited, and underwent: i) psychopathological evaluation and assessment of clinical response to antipsychotics; ii) genetic counseling; iii) further diagnostic investigation by using Comparative Genomic Hybridization (CGH) + Single Nucleotide Polymorphism (SNP) microarray with 2x400k Agilent’s platform “GenetiSure” for detecting unbalanced chromosomal abnormalities and regions of homozygosity (ROHs). Results Structural pathogenetic rearrangements resulted in 9 (27%) patients. Those identified were the following: 15q13.3 deletion, 16p13.11 duplication, 22q11.22 deletion (TOP3B), 22q11.22 (PRODH, DGCR5, DGCR6), RBFOX1 deletion, TCF4 deletion, derivative X chromosome (X;Y translocation). Potentially pathogenic rearrangements, involving genes associated with psychiatric disorders or implicated in neurodevelopment, resulted in 15 patients (44%). No relevant CNVs were detected in 10 patients (29%), although they showed the presence of ROHs that may contain susceptibility loci, since many neurodevelopmental genes map onto or near these specific regions. Certain of these rearrangements occur in many patients, and certain patients showed likewise multiple rearrangements. Discussion The analysis of CNVs and SNPs allowed us to characterize the genetic disease structure in the whole cohort of patients and helped to refine the diagnosis in a few cases, thereby ascertaining an underlying specific genetic condition. A further extension of the study, in terms of sample size and more accurate investigations (i.e genetic mapping of ROHs) is underway. According to literature, rare risk-associated CNVs account for 2% of SCZ cases, but their higher prevalence (27%) in our sample may be influenced by a larger percentage of Treatment Resistant and more severely ill patients (since they were recruited in a highly specialized Unit for Treatment Resistant Psychosis). Therefore, our future purpose is to demonstrate a robust genetic modulation of Treatment Resistant endophenotypes of SCZ. Moreover, we believe that the role of genetic counseling in psychiatric services should be emphasized, and that genetic testing in this field should not be restricted to suspected childhood neuropsychiatric disorders. According to the neurodevelopmental hypothesis of SCZ, that suggests a brain development disruption in early life (due to genetic and early environmental factors), prompting to a subsequent later emergence of the disease in adulthood, even chronic complex adult mental illness, such as SCZ, deserves detailed investigations and a more exhaustive genetic evaluation.

Introduction: While the majority of the vascular endothelial growth factor (VEGF) and mammalian target of rapamycin (mTOR) inhibitors currently used for the therapy of metastatic renal cell carcinoma (mRCC) are small molecule agents inhibiting multiple targets, monoclonal antibodies are inhibitors of specific targets, which may decrease off-target effects while preserving on-target activity. A few monoclonal antibodies have already been approved for mRCC (bevacizumab, nivolumab), while many others may play an important role in the therapeutic scenario of mRCC. Areas covered: This review describes emerging monoclonal antibodies for treating RCC. Currently, bevacizumab, a VEGF monoclonal antibody, is approved in combination with interferon for the therapy of metastatic RCC, while nivolumab, a Programmed Death (PD)-1 inhibitor, is approved following prior VEGF inhibitor treatment. Other PD-1 and PD-ligand (L)-1 inhibitors are undergoing clinical development. Expert opinion: Combinations of inhibitors of the PD1/PD-L1 axis with VEGF inhibitors or cytotoxic T-lymphocyte antigen (CTLA)-4 inhibitors have shown promising efficacy in mRCC. The development of biomarkers predictive for benefit and rational tolerable combinations are both important pillars of research to improve outcomes in RCC.

// Vito Alessandro Lasorsa 1,2 , Daniela Formicola 1,2 , Piero Pignataro 1,2 , Flora Cimmino 1,2 , Francesco Maria Calabrese 3 , Jaume Mora 4 , Maria Rosaria Esposito 5 , Marcella Pantile 5 , Carlo Zanon 5 , Marilena De Mariano 6 , Luca Longo 6 , Michael D. Hogarty 7 , Carmen de Torres 4 , Gian Paolo Tonini 5 , Achille Iolascon 1,2 and Mario Capasso 1,2,8 1 University of Naples Federico II, Department of Molecular Medicine and Medical Biotechnology, Naples, Italy 2 CEINGE Biotecnolgie Avanzate, Naples, Italy 3 University of Bari, Department of Biology, Bari, Italy 4 Hospital Sant Joan de Deu, Developmental Tumor Biology Laboratory and Department of Oncology, Esplugues de Llobregat, Barcelona, Spain 5 Pediatric Research Institute (IRP), Fondazione Citta della Speranza, Neuroblastoma Laboratory, Padua, Italy 6 U.O.C. Bioterapie, IRCCS AOU San Martino-IST, National Cancer Research Institute, Genoa, Italy 7 Children’s Hospital of Philadelphia, Division of Oncology, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States of America 8 IRCCS SDN, Istituto di Ricerca Diagnostica e Nucleare, Naples, Italy Correspondence: Mario Capasso, email: // Flora Cimmino, email: // Keywords : NGS, neuroblastoma, high risk, somatic mutation, cancer driver genes Received : December 22, 2015 Accepted : February 09, 2016 Published : March 18, 2016 Abstract The spectrum of somatic mutation of the most aggressive forms of neuroblastoma is not completely determined. We sought to identify potential cancer drivers in clinically aggressive neuroblastoma. Whole exome sequencing was conducted on 17 germline and tumor DNA samples from high-risk patients with adverse events within 36 months from diagnosis (HR-Event3) to identify somatic mutations and deep targeted sequencing of 134 genes selected from the initial screening in additional 48 germline and tumor pairs (62.5% HR-Event3 and high-risk patients), 17 HR-Event3 tumors and 17 human-derived neuroblastoma cell lines. We revealed 22 significantly mutated genes, many of which implicated in cancer progression. Fifteen genes (68.2%) were highly expressed in neuroblastoma supporting their involvement in the disease. CHD9 , a cancer driver gene, was the most significantly altered (4.0% of cases) after ALK . Other genes ( PTK2 , NAV3 , NAV1 , FZD1 and ATRX ), expressed in neuroblastoma and involved in cell invasion and migration were mutated at frequency ranged from 4% to 2%. Focal adhesion and regulation of actin cytoskeleton pathways, were frequently disrupted (14.1% of cases) thus suggesting potential novel therapeutic strategies to prevent disease progression. Notably BARD1 , CHEK2 and AXIN2 were enriched in rare, potentially pathogenic, germline variants. In summary, whole exome and deep targeted sequencing identified novel cancer genes of clinically aggressive neuroblastoma. Our analyses show pathway-level implications of infrequently mutated genes in leading neuroblastoma progression.

We have carried out a retrospective study of chromosome anomalies associated with increased nuchal translucency (NT) in order to compare yield rates of karyotype, chromosome microarray analysis (CMA), and non-invasive prenatal testing (NIPT) in this condition. Presenting with increased NT or cystic hygroma &ge, 3.5 mm as an isolated sign, 249 fetuses underwent karyotype and/or CMA from 11 to 18 gestational weeks. Karyotype and fluorescence in situ hybridization (FISH) analyses detected 103 chromosomal anomalies including 95 aneuploidies and eight chromosomal rearrangements or derivatives. Further, seven pathogenic copy number variants (CNV), five likely pathogenic CNVs, and 15 variants of unknown significance (VOUS) were detected by CMA in fetuses with normal karyotype. Genetic testing is now facing new challenges due to results with uncertain clinical impacts. Additional investigations will be necessary to interpret these findings. More than 15% of the anomalies that we have diagnosed with invasive techniques could not be detected by NIPT. It is therefore definitely not recommended in the case of ultrasound anomalies. These results, while corroborating the use of CMA in fetuses with increased NT as a second tier after rapid aneuploidy testing, do not suggest a dismissal of karyotype analysis.

Cancer-related fatigue (CRF) is a complex condition that is reported in > 50% of cancer patients. In men with castration-resistant prostate cancer (CRPC), CRF was reported in 12–21% of patients. Approved systemic therapy against CRPC is commonly administered in combination with androgen-deprivation treatment (ADT) and, in some cases, with daily, low-dose corticosteroids. Importantly, the use of low-dose corticosteroids is associated with multiple negative effects, including reduced muscle mass. On these grounds, we hypothesized that the chronic use of corticosteroids may increase the incidence of fatigue in patients with prostate cancer. We reviewed all randomized trials published during the last 15 years conducted in patients with prostate cancer receiving systemic treatment and we performed a sub-group analysis to gather insights regarding the potential differences in the incidence of fatigue in patients receiving vs. not receiving daily corticosteroids as part of their systemic anti-neoplastic regimen. Overall, 22,734 men enrolled in prospective randomized phase II and III trials were evaluable for fatigue. Estimated pooled incidence of grade 1–2 fatigue was 30.89% (95% CI = 25.34–36.74), while estimated pooled incidence of grade 3–4 fatigue was reported in 3.90% (95% CI = 2.91–5.02). Sub-group analysis showed that grade 3–4 fatigue was approximately double in patients who received daily corticosteroids as part of their anti-neoplastic treatment (5.58; 95% CI = 4.33–6.98) vs. those who did not (2.67%; 95% CI = 1.53–4.11). Our findings highlight the need for ad hoc-designed prospective clinical trials to investigate whether the benefits associated with low-dose, daily corticosteroids outweigh the risks associated with corticosteroid-related adverse events such as fatigue.

Mutations in more than 70 genes cause hereditary anemias (HA), a highly heterogeneous group of rare/low frequency disorders in which we included: hyporegenerative anemias, as congenital dyserythropoietic anemia (CDA) and Diamond-Blackfan anemia; hemolytic anemias due to erythrocyte membrane defects, as hereditary spherocytosis and stomatocytosis; hemolytic anemias due to enzymatic defects. The study describes the diagnostic workflow for HA, based on the development of two consecutive versions of a targeted-NGS panel, including 34 and 71 genes, respectively. Seventy-four probands from 62 unrelated families were investigated. Our study includes the most comprehensive gene set for these anemias and the largest cohort of patients described so far. We obtained an overall diagnostic yield of 64.9%. Despite 54.2% of cases showed conclusive diagnosis fitting well to the clinical suspicion, the multi-gene analysis modified the original clinical diagnosis in 45.8% of patients (nonmatched phenotype-genotype). Of note, 81.8% of nonmatched patients were clinically suspected to suffer from CDA. Particularly, 45.5% of the probands originally classified as CDA exhibited a conclusive diagnosis of chronic anemia due to enzymatic defects, mainly due to mutations in PKLR gene. Interestingly, we also identified a syndromic CDA patient with mild anemia and epilepsy, showing a homozygous mutation in CAD gene, recently associated to early infantile epileptic encephalopathy-50 and CDA-like anemia. Finally, we described a patient showing marked iron overload due to the coinheritance of PIEZO1 and SEC23B mutations, demonstrating that the multi-gene approach is valuable not only for achieving a correct and definitive diagnosis, but also for guiding treatment.

In this study, we verify the association between the rs1333049 single nucleotide polymorphism (9p21.3) within CDKN2A-CDKN2B and coronary artery disease (CAD) in an Italian population. We replicated rs1333049_G allele association with a significantly reduced risk of CAD (OR = 0.816; 95% confidence interval [0.705-0.945]; p = 0.0065) in 711 CAD patients and 755 normal healthy individuals. This effect is maintained even stratifying patients by gender and by risk factors. A significant association was found with age of CAD onset. Interestingly, we found a protective trend of association between the rs1333049_G allele and peripheral artery disease, a progressive atherosclerotic condition in which plaque builds up in the arteries that carry blood to the head, organs, and limbs (OR = 0.724; 95% CI [0.520-1.007]; p = 0.054). No genotype-phenotype association was found with more severe CAD clinical parameters. If certain genetic factors predispose individuals to adverse outcomes, the knowledge of a patient's genotype may influence clinical management.

// Francesco Maria Calabrese 1, * , Rosanna Clima 2, * , Piero Pignataro 3, 4 , Vito Alessandro Lasorsa 3, 4 , Michael D. Hogarty 5 , Aurora Castellano 6 , Massimo Conte 7 , Gian Paolo Tonini 8 , Achille Iolascon 3, 4 , Giuseppe Gasparre 2, # , Mario Capasso 3, 4, 9, # 1 Department of Biology, University of Bari “Aldo Moro”, Bari, Italy 2 Department of Medical and Surgical Sciences-DIMEC, Medical Genetics Unit, University of Bologna, Bologna, Italy 3 Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy 4 CEINGE Biotecnologie Avanzate, Napoli, Italy 5 Department of Pediatrics, Division of Oncology, Children’s Hospital of Philadelphia, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, USA 6 Paediatric Haematology/Oncology Department, IRCCS, Ospedale Pediatrico Bambino Gesu, Rome, Italy 7 Oncology Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy 8 Pediatric Research Institute (IRP) – Fondazione Citta della Speranza, Neuroblastoma Laboratory, Padua, Italy 9 IRCCS SDN, Istituto di Ricerca Diagnostica e Nucleare, Naples, Italy * These authors contributed equally to this work # Co-last authors Correspondence to: Mario Capasso, email: mario.capasso@unina.it Keywords: neuroblastoma, mitochondrial DNA mutations, WES, somatic mutations, germline mutations Received: April 21, 2016 Accepted: June 09, 2016 Published: June 24, 2016 ABSTRACT Background: Neuroblastoma, a tumor of the developing sympathetic nervous system, is a common childhood neoplasm that is often lethal. Mitochondrial DNA (mtDNA) mutations have been found in most tumors including neuroblastoma. We extracted mtDNA data from a cohort of neuroblastoma samples that had undergone Whole Exome Sequencing (WES) and also used snap-frozen samples in which mtDNA was entirely sequenced by Sanger technology. We next undertook the challenge of determining those mutations that are relevant to, or arisen during tumor development. The bioinformatics pipeline used to extract mitochondrial variants from matched tumor/blood samples was enriched by a set of filters inclusive of heteroplasmic fraction, nucleotide variability, and in silico prediction of pathogenicity. Results: Our in silico multistep workflow applied both on WES and Sanger-sequenced neuroblastoma samples, allowed us to identify a limited burden of somatic and germline mitochondrial mutations with a potential pathogenic impact. Conclusions: The few singleton germline and somatic mitochondrial mutations emerged, according to our in silico analysis, do not appear to impact on the development of neuroblastoma. Our findings are consistent with the hypothesis that most mitochondrial somatic mutations can be considered as ‘passengers’ and consequently have no discernible effect in this type of cancer.

Background The prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade. Patients and methods Using microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients. Results This classifier was a significant predictor of overall survival in two independent validation cohorts [cohort 1 (n = 214): P = 6.3 × 10−5; cohort 2 (n = 27): P = 3.1 × 10−2]. The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P = 0.027). In the pooled validation cohorts (n = 241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35 to 100 %). Conclusion Together, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease. Electronic supplementary material The online version of this article (doi:10.1186/s12967-016-0896-7) contains supplementary material, which is available to authorized users.