Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line

Background: Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions have often been challenging. Methods: We integrated here genome-wide copy number data with gene expression data and non-sense mediated mRNA decay rates in breast cancer cell lines to prioritize gene candidates that are likely to be tumour suppressor genes inactivated by bi-allelic genetic events. The candidates were sequenced to identify potential mutations. Results: This integrated genomic approach led to the identification of RIC8A at 11p15 as a putative candidate target gene for the genomic deletion in the ZR-75-1 breast cancer cell line. We identified a truncating mutation in this cell line, leading to loss of expression and rapid decay of the transcript. We screened 127 breast cancers for RIC8A mutations, but did not find any pathogenic mutations. No promoter hypermethylation in these tumours was detected either. However, analysis of gene expression data from breast tumours identified a small group of aggressive tumours that displayed low levels of RIC8A transcripts. qRT-PCR analysis of 38 breast tumours showed a strong association between low RIC8A expression and the presence of TP53 mutations (P = 0.006). Conclusion: We demonstrate a data integration strategy leading to the identification of RIC8A as a gene undergoing a classical double-hit genetic inactivation in a breast cancer cell line, as well as in vivo evidence of loss of RIC8A expression in a subgroup of aggressive TP53 mutant breast cancers.

Geant4 Hadronic Cascade Models and CMS Data Analysis : Computational Challenges in the LHC era

This work belongs to the field of computational high-energy physics (HEP). The key methods used in this thesis work to meet the challenges raised by the Large Hadron Collider (LHC) era experiments are object-orientation with software engineering, Monte Carlo simulation, the computer technology of clusters, and artificial neural networks. The first aspect discussed is the development of hadronic cascade models, used for the accurate simulation of medium-energy hadron-nucleus reactions, up to 10 GeV. These models are typically needed in hadronic calorimeter studies and in the estimation of radiation backgrounds. Various applications outside HEP include the medical field (such as hadron treatment simulations), space science (satellite shielding), and nuclear physics (spallation studies). Validation results are presented for several significant improvements released in Geant4 simulation tool, and the significance of the new models for computing in the Large Hadron Collider era is estimated. In particular, we estimate the ability of the Bertini cascade to simulate Compact Muon Solenoid (CMS) hadron calorimeter HCAL. LHC test beam activity has a tightly coupled cycle of simulation-to-data analysis. Typically, a Geant4 computer experiment is used to understand test beam measurements. Thus an another aspect of this thesis is a description of studies related to developing new CMS H2 test beam data analysis tools and performing data analysis on the basis of CMS Monte Carlo events. These events have been simulated in detail using Geant4 physics models, full CMS detector description, and event reconstruction. Using the ROOT data analysis framework we have developed an offline ANN-based approach to tag b-jets associated with heavy neutral Higgs particles, and we show that this kind of NN methodology can be successfully used to separate the Higgs signal from the background in the CMS experiment.

Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication

Neuroblastoma has successfully served as a model system for the identification of neuroectoderm-derived oncogenes. However, in spite of various efforts, only a few clinically useful prognostic markers have been found. Here, we present a framework, which integrates DNA, RNA and tissue data to identify and prioritize genetic events that represent clinically relevant new therapeutic targets and prognostic biomarkers for neuroblastoma.

Treatment of illicit opioid and γ-hydroxybutyrate overdose by Helsinki emergency medical services

Aims: To examine the characteristics, incidence, treatment and outcome of presumed opioid, γ-hydroxybutyrate (GHB) and γ-butyrolactone (GBL) overdoses involving users of illicit drugs in Helsinki. GHB/GBL were included in this study, despite not being opioids, due to the relative ease with which they can cause potentially fatal respiratory depression. The incidence and time interval of recurrent opioid toxicity after prehospital administration of naloxone, an opioid antagonist, was studied in presumed heroin overdose patients. Naloxone has been reported to have many adverse effects and the effects of naloxone administered during an opioid overdose on the cardiovascular system and catecholamine levels in piglets were studied. Materials and methods: Patients included in these published retrospective studies were from the following time periods: Study I: 1995-2002, II: 1997-2000, III: 1995-2000, V: 2006-2007. Presumed opioid overdose patients were examined in studies I, II and III. GHB/GBL overdoses among injecting drug users was examined in study V. Recurrent opioid toxicity after prehospital naloxone administration in heroin overdose patients was examined in study III. The effects of naloxone (80 μg/kg i.v.) on the cardiovascular system and catecholamine levels administered during morphine overdose (8mg/kg i.v.) and under propofol anesthesia with spontaneous breathing were studied in eight piglets (IV). In this thesis, previously unpublished data on the incidence of opioid overdose between 2001-2007 and comparison of the characteristics of buprenorphine and heroin overdose patients encountered in 1995-2005 are also included. Results: Helsinki Emergency Medical Service (EMS) ambulances were dispatched annually to 34,153- 45,118 calls from 1995 to 2007. Of them, 7-8% were coded as intoxications or overdoses. During this time, 436 patients were treated by the EMS for presumed opioid overdose. The peak incidence of opioid overdoses was in the year 2000 (113 cases), after which they declined to 6-26 cases annually. The annual incidence of buprenorphine related overdoses increased from 4 (4% of opioid overdoses) in the year 2000 to 8 (30% of opioid overdoses) in 2007. The annual number of GHB related overdose patients treated by Helsinki EMS increased from 21 to 73 between 2004-2007. There appeared to be a peak in the incidence of both GHB/GBL and opioid related overdoses on Saturdays. Characteristics of opioid overdose patients The median age of opioid overdose patients was 28 years (22;33, 25- and 75-percentiles), and 84% were male. Buprenorphine overdose patients had more polydrug, such as alcohol and/or benzodiazepines, use in comparison with heroin overdose patients, 70% versus 33%, respectively. Severe respiratory depression was reported less often with buprenorphine overdoses compared to heroin overdoses, in 67.0% versus 85.4%, respectively. Outcome of heroin overdose patients with cardiac arrest Ninety four patients suffered cardiac arrest due to acute drug poisoning/overdose and were thus considered for resuscitation. Resuscitation was attempted in 72 cases. Cardiac arrest was caused by heroin overdose for 19 patients of which three (16%) were discharged alive. Other agents also induced cardiac arrest in 53 patients, of which six (11%) were discharged alive. The arrest was either EMS witnessed or occurring after the emergency call for all survivors of heroin induced cardiac arrest. Characteristics of GHB/GBL overdose patients The records of 100 GHB/GBL related overdose patients from 2006-2007 were retrieved. The median age of GHB/GBL overdose patients encountered on weekend nights was 24 years (22;27, 25- and 75-percentiles) and 49% were male. Polydrug use was reported in 62-80% of the cases. Thirty nine patients were encountered on Friday-Saturday or Saturday-Sunday night between 11 pm-6 am. The remaining sixty one patients were outside this time frame. There was a statistically significant difference between these two groups in history of chronic injecting drug use (33% vs. 59%, respectively, p=0.012). Recurrent heroin toxicity after prehospital naloxone administration Study III included 145 presumed heroin overdose patients. After prehospital care, 84 patients refused further care and were not transported to an Emergency Department (ED). Seventy one (85%) of them were administered naloxone by the EMS. During a 12-h follow up period, none of these patients developed severe recurrent opioid toxicity. The remaining 61 patients were transported to an ED. Prior to transportation, 52 (85%) patients were administered naloxone by the EMS. Fifteen of them were administered naloxone also in the ED and recurrent opioid toxicity was evident either on arrival at the ED or shortly thereafter. Prehospital naloxone was administered either intravenously, intramuscularly (i.m.) or subcutaneously (s.c.). There was a tendency for more frequent recurrent heroin toxicity among the patients with only intravenous administration of prehospital naloxone (13/36) compared with the patients with intramuscular or subcutaneous prehospital naloxone (2/16), p=0.106. The effects of naloxone on the cardiovascular system and catecholamine levels in piglets The administration of morphine to piglets resulted in an obvious respiratory depression, which was reversed by naloxone. Two severely hypoxemic piglets developed cardiac arrest after naloxone administration. In the other six animals, the administration of naloxone did not provoke arrhythmias, cardiac ischemia or visible evidence of pulmonary edema. There was a statistically significant (p=0.012) increase in norepinephrine levels after morphine administration and before naloxone administration: from 1.9 (1.3-2.3) ng/ml at baseline, to 31.7 (8.3-83.0) ng/ml (median, 25 and 75 percentiles parentheses) after morphine administration. After the administration of naloxone, the catecholamine levels continued to increase in only one of the animals. Conclusions: The incidence of buprenorphine related overdoses increased during the study period, but was still lower in comparison to those involving heroin. Injecting drug users have also started to use GHB/GBL. While recreational drug users use GHB/GBL during weekend nights, a GHB/GBL overdose patient encounter during weekdays has a more probable history of injecting drug use. Patients with cardiac arrest after heroin overdose have a poor prognosis. It appears to be safe to leave heroin overdose patients on scene after prehospital treatment with naloxone. Although no statistically significant difference was observed, it seems prudent to administer part of the total naloxone dose s.c. or i.m. to reduce the risk of recurrent respiratory depression. If transported to an ED, an observation period of one to two hours after the last naloxone dose seems adequate. The treating physician must be vigilant, however, due to the high prevalence of polydrug use and high morbidity after non fatal heroin overdose. Furthermore, care should be taken regarding possible chronic disorders and drug rehabilitation should be addressed. In the experimental animal study, two animals developed cardiac arrest after receiving naloxone while in hypoxemia and bradycardia. Further studies are required to assess the effect of naloxone during opioid-induced hypercapnia and hypoxemia in animals addicted to opioids.