| 1. |
- Antoniou, A. C., et al.
(författare)
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Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers : Implications for risk prediction
- 2010
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 70:23, s. 9742-9754
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Tidskriftsartikel (refereegranskat)abstract
- The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 in STXBP4/COX11, and rs10941679 at 5p12, and reanalyzed the previous associations using additional carriers in a sample of 12,525 BRCA1 and 7,409 BRCA2 carriers. Additionally, we investigated potential interactions between SNPs and assessed the implications for risk prediction. The minor alleles of rs4973768 and rs10941679 were associated with increased breast cancer risk for BRCA2 carriers (per-allele HR = 1.10, 95% CI: 1.03-1.18, P = 0.006 and HR = 1.09, 95% CI: 1.01-1.19, P = 0.03, respectively). Neither SNP was associated with breast cancer risk for BRCA1 carriers, and rs6504950 was not associated with breast cancer for either BRCA1 or BRCA2 carriers. Of the 9 polymorphisms investigated, 7 were associated with breast cancer for BRCA2 carriers (FGFR2, TOX3, MAP3K1, LSP1, 2q35, SLC4A7, 5p12, P = 7 × 10-11 - 0.03), but only TOX3 and 2q35 were associated with the risk for BRCA1 carriers (P = 0.0049, 0.03, respectively). All risk-associated polymorphisms appear to interact multiplicatively on breast cancer risk for mutation carriers. Based on the joint genotype distribution of the 7 risk-associated SNPs in BRCA2 mutation carriers, the 5% of BRCA2 carriers at highest risk (i.e., between 95th and 100th percentiles) were predicted to have a probability between 80% and 96% of developing breast cancer by age 80, compared with 42% to 50% for the 5% of carriers at lowest risk. Our findings indicated that these risk differences might be sufficient to influence the clinical management of mutation carriers.
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| 2. |
- Thompson, B.A., et al.
(författare)
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Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database
- 2014
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Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 46:2, s. 107-115
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Tidskriftsartikel (refereegranskat)abstract
- The clinical classification of hereditary sequence variants identified in disease-related genes directly affects clinical management of patients and their relatives. The International Society for Gastrointestinal Hereditary Tumours (InSiGHT) undertook a collaborative effort to develop, test and apply a standardized classification scheme to constitutional variants in the Lynch syndrome-associated genes MLH1, MSH2, MSH6 and PMS2. Unpublished data submission was encouraged to assist in variant classification and was recognized through microattribution. The scheme was refined by multidisciplinary expert committee review of the clinical and functional data available for variants, applied to 2,360 sequence alterations, and disseminated online. Assessment using validated criteria altered classifications for 66% of 12,006 database entries. Clinical recommendations based on transparent evaluation are now possible for 1,370 variants that were not obviously protein truncating from nomenclature. This large-scale endeavor will facilitate the consistent management of families suspected to have Lynch syndrome and demonstrates the value of multidisciplinary collaboration in the curation and classification of variants in public locus-specific databases. © 2014 Nature America, Inc.
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| 3. |
- Engel, C., et al.
(författare)
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Association of the variants CASP8 D302H and CASP10 V410I with breast and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers
- 2010
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - : American Association for Cancer Research. - 1055-9965 .- 1538-7755. ; 19:11, s. 2859-2868
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Tidskriftsartikel (refereegranskat)abstract
- Background: The genes caspase-8 (CASP8) and caspase-10 (CASP10) functionally cooperate and play a key role in the initiation of apoptosis. Suppression of apoptosis is one of the major mechanisms underlying the origin and progression of cancer. Previous case-control studies have indicated that the polymorphisms CASP8 D302H and CASP10 V410I are associated with a reduced risk of breast cancer in the general population.Methods: To evaluate whether the CASP8 D302H (CASP10 V410I) polymorphisms modify breast or ovarian cancer risk in BRCA1 and BRCA2 mutation carriers, we analyzed 7,353 (7,227) subjects of white European origin provided by 19 (18) study groups that participate in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A weighted cohort approach was used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI).Results: The minor allele of CASP8 D302H was significantly associated with a reduced risk of breast cancer (per-allele HR, 0.85; 95% CI, 0.76-0.97; Ptrend = 0.011) and ovarian cancer (per-allele HR, 0.69; 95% CI, 0.53-0.89; Ptrend = 0.004) for BRCA1 but not for BRCA2 mutation carriers. The CASP10 V410I polymorphism was not associated with breast or ovarian cancer risk for BRCA1 or BRCA2 mutation carriers.Conclusions: CASP8 D302H decreases breast and ovarian cancer risk for BRCA1 mutation carriers but not for BRCA2 mutation carriers.Impact: The combined application of these and other recently identified genetic riskmodifiers could in the future allow better individual risk calculation and could aid in the individualized counseling and decision making with respect to preventive options in BRCA1 mutation carriers.
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| 4. |
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| 5. |
- van Valen, E., et al.
(författare)
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Chronic solvent-induced encephalopathy: European consensus of neuropsychological characteristics, assessment, and guidelines for diagnostics
- 2012
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Ingår i: Neurotoxicology. - : Elsevier BV. - 0161-813X. ; 33:4, s. 710-726
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: The presence of neuropsychological impairment is a hallmark of chronic solvent-induced encephalopathy (CSE), and using clinical neuropsychological procedures to generate a valid assessment of the condition is crucial for its diagnosis. The goals of this consensus document are to provide updated knowledge of the neuropsychological characteristics of CSE and to provide internationally acceptable guidelines for using neuropsychological assessments in the process of diagnosing patients who are suspected of having CSE. Materials and methods: A European working group that was composed of experts in the field of the clinical diagnosis of CSE met at several round-table meetings and prepared this report. The first section of the consensus paper addresses a review of the relevant literature that was published between 1985 and March 2012. The second section addresses recommendations for the clinical neuropsychological assessment of patients who are suspected of having CSE. Results: The literature review indicates that the most common neuropsychological impairments in CSE patients are within the domains of attention, particularly the speed of information processing, memory, and motor performance. It appears that the influence of CSE on memory processes mainly involves immediate recall and generally involves verbal, visual and visuospatial material. In the second section, six recommendations are presented regarding important functional domains for the neuropsychological diagnostic process of CSE that relate to the evaluation of neuropsychological impairment, the assessment and evaluation of symptoms, differential diagnostic considerations, the reliability and validity of neuropsychological test results, and the retesting of patients. Discussion and conclusions: These recommendations will contribute to the improvement of the process for accurately diagnosing CSE, better counselling for CSE patients, the comparability of epidemiological data between countries, and finally, by raising awareness, these recommendations will contribute to combating the adverse health effects of occupational exposure to solvents. (C) 2012 Elsevier Inc. All rights reserved.
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| 6. |
- Bill-Axelson, Anna, et al.
(författare)
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Radical prostatectomy versus watchful waiting in early prostate cancer.
- 2011
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Ingår i: The New England journal of medicine. - : Massachussetts Medical Society. - 1533-4406 .- 0028-4793. ; 364:18, s. 1708-17
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Forskningsöversikt (refereegranskat)abstract
- In 2008, we reported that radical prostatectomy, as compared with watchful waiting, reduces the rate of death from prostate cancer. After an additional 3 years of follow-up, we now report estimated 15-year results.
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| 7. |
- Falken, Y., et al.
(författare)
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Intravenous ghrelin accelerates postoperative gastric emptying and time to first bowel movement in humans
- 2013
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Ingår i: Neurogastroenterology and Motility. - : Wiley. - 1350-1925 .- 1365-2982. ; 25:6, s. 474-480
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Tidskriftsartikel (refereegranskat)abstract
- Background Ghrelin has been shown to stimulate gastric emptying in healthy humans and patients with delayed gastric emptying. The aim of this study is to assess the effect of ghrelin on gastric emptying on day 2 after open colorectal surgery. Methods Twenty-four patients (mean age 69.2 +/- 1.4, BMI 25.8 +/- 0.8kgm2) were randomized to saline or ghrelin infusion (15pmolkg1min1) during 3h before and on day 2 after open colorectal surgery. Of these, 20 were assessed both before and after surgery. At start of infusion, a liquid meal (480kcal, 200mL) was administered together with 1.5g acetaminophen. Plasma was obtained at regular intervals together with visual analogue scales for hunger, satiety and nausea. Acetaminophen was analyzed as a marker of gastric emptying. Plasma glucose, insulin, acyl-ghrelin, glucagon-like peptide-1 (GLP-1), glucose-dependent insulinoptrophic peptide (GIP), pancreatic polypeptide and peptide YY (PYY) were analyzed. Key Results Gastric emptying was faster during ghrelin infusion compared to saline before and after surgery (P<0.02). In addition, plasma glucose was increased (P<0.05). With ghrelin infusion, plasma insulin was unchanged except for lower values postoperatively (P<0.05). Ghrelin did not alter plasma concentrations of gut peptides. After surgery, ghrelin shortened the time to first bowel movement compared to saline (2.1 +/- 0.3 vs 3.5 +/- 0.4days, P=0.02). Conclusions & Inferences A 3-h ghrelin infusion increased the gastric emptying rate and hastened the time to first bowel movement after surgery. Ghrelin/ghrelin receptor agonists have a therapeutic potential in postoperative ileus; Karolinska Clinical Trial Registry nr CT20110084.
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| 8. |
- Jörnsten, Rebecka, 1971, et al.
(författare)
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Network modeling of the transcriptional effects of copy number aberrations in glioblastoma
- 2011
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Ingår i: Molecular Systems Biology. - : EMBO. - 1744-4292. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- DNA copy number aberrations (CNAs) are a hallmark of cancer genomes. However, little is known about how such changes affect global gene expression. We develop a modeling framework, EPoC (Endogenous Perturbation analysis of Cancer), to (1) detect disease-driving CNAs and their effect on target mRNA expression, and to (2) stratify cancer patients into long- and short-term survivors. Our method constructs causal network models of gene expression by combining genome-wide DNA- and RNA-level data. Prognostic scores are obtained from a singular value decomposition of the networks. By applying EPoC to glioblastoma data from The Cancer Genome Atlas consortium, we demonstrate that the resulting network models contain known disease-relevant hub genes, reveal interesting candidate hubs, and uncover predictors of patient survival. Targeted validations in four glioblastoma cell lines support selected predictions, and implicate the p53-interacting protein Necdin in suppressing glioblastoma cell growth. We conclude that large-scale network modeling of the effects of CNAs on gene expression may provide insights into the biology of human cancer. Free software in MATLAB and R is provided.
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| 9. |
- Nordling, Torbjörn E M, 1979-, et al.
(författare)
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Design of perturbations is the key to inference of tumour specific gene regulation
- 2010
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Tumour development requires alteration of the normal gene regulation of involved cell types. Mapping of these alterations and inference of the resulting local disease network is therefore crucial to improve our understanding of tumour progression and develop novel cures. Based on the number of known alterations and subtypes of each form of cancer, we assume that the network inference needs to be based on subtype and cell specific expression data to obtain the necessary specific knowledge. We have identified design of perturbations as the key to successful inference of such locally altered gene regulatory networks. Analysis of published gene expression data sets reveal that the variation in expression is concentrated to significantly fewer “characteristic modes” (Holter et al. 2000) or “eigengenes” (Alter et al. 2000) than both the number of recorded assays and the number of measured genes. In other words, the responses obtained in standard experiments are typically concentrated to a subset of the gene space. This is an advantage when considering modelling for predicting gene responses to external perturbations, since the model only needs to capture the characteristic modes correctly for this purpose. However, it seriously hampers network inference, since it implies that models with widely different network structure are practically indistinguishable based on standard response data. To infer the structure we need to design specific perturbations that yield a sufficiently strong signal also for perturbations that are attenuated by the system, i.e., excite the weak modes of the network. The perturbations needed depend on the unknown system and we have therefore developed an iterative design, which we here demonstrate on two published gene expression data sets (Lorenz et al. 2009, Gardner et al. 2003). Alter O, Brown PO, Botstein D. Singular value decomposition for genome-wide expression data processing and modeling. Proc Natl Acad Sci U S A. 2000 Aug 29; 97(18): 10101-6. Gardner TS, di Bernardo D, Lorenz D, Collins JJ, Inferring genetic networks and identifying compound mode of action via expression profiling. Science. 2003 Jul 4; 301(5629): 102-5. Holter NS, Mitra M, Maritan A, Cieplak M, Banavar JR, Fedoroff NV. Fundamental patterns underlying gene expression profiles: simplicity from complexity. Proc Natl Acad Sci U S A. 2000 Jul 18; 97(15): 8409-14. Lorenz DR, Cantor CR, Collins JJ. A network biology approach to aging in yeast. Proc Natl Acad Sci U S A. 2009 Jan 27; 106(4): 1145-50.
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| 10. |
- Nordling, Torbjörn E. M., 1979-, et al.
(författare)
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On Sparsity As a Criterion in Reconstructing Biochemical Networks
- 2011
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Ingår i: Proceedings of the 18th International Federation of Automatic Control (IFAC) World Congress, 2011. ; , s. 11672-11678
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Konferensbidrag (refereegranskat)abstract
- A common problem in inference of gene regulatory networks from experimental response data is the relatively small number of samples available in relation to the number of nodes/states. In many cases the identification problem is underdetermined and prior knowledge is required for the network reconstruction. A specific prior that has gained widespread popularity is the assumption that the underlying network is sparsely connected. This has led to a flood of network reconstruction algorithms based on subset selection and regularization techniques, mainly adopted from the statistics and signal processing communities. In particular, methods based on \ell_1 and \ell_2-penalties on the interaction strengths, such as LASSO, have been widely proposed and applied. We briefly review some of these methods and discuss their suitability for inferring the structure of biochemical networks. A particular problem is the fact that these methods provide little or no information on the uncertainty of individual identified edges, combined with the fact that the identified networks usually have a large fraction of false positives as well as false negatives.To partly overcome these problems we consider conditions that can be used to classify edges into those that can be uniquely determined based on a given incomplete data set, those that cannot be uniquely determined due to collinearity in the data and those for which no information is available. Apart from providing a label of confidence for the individual edges in the identified network, the classification can be used to improve the reconstruction by employing standard unbiased identification methods to the identifiable edges while employing sparse approximation methods for the remaining network. The method is demonstrated through application to a synthetic network in yeast which has recently been proposed for in vivo assessment of network identification methods.
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