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- 2019
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Tidskriftsartikel (refereegranskat)
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| 2. |
- Carlson, Julie, et al.
(författare)
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Salivary gland cancer: an update on present and emerging therapies
- 2013
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Ingår i: 2013 ASCO Educational Book. American Society of Clinical Oncology. ; , s. 257-63
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Bokkapitel (refereegranskat)abstract
- Malignant salivary gland tumors make up a small proportion of malignancies worldwide, yet vary widely in terms of histology, patterns of spread, and recurrence. A better understanding of this variability will guide appropriate treatment recommendations and lead to improved outcomes. Recent molecular genetic studies have uncovered a translocation-generated gene fusion network in salivary gland carcinomas that can be used for diagnosis, treatment decisions, and development of specific targeted therapies. The gene fusions encode novel fusion oncoproteins that function as transcriptional coactivators, tyrosine kinase receptors, and transcription factors involved in growth-factor signaling and cell-cycle regulation. While surgery currently is the primary therapy for operable tumors, radiation plays an important role in the postoperative setting, as well as in the definitive setting for inoperable lesions. An awareness of the risk factors for tumor recurrence and spread is important for both adjuvant therapy referrals and for radiation treatment planning purposes. Additionally, chemotherapy is being used increasingly in both the concurrent setting as a radiosensitizer, as well as in the palliative setting for metastatic tumors. Future trials investigating concurrent chemotherapy and radiation, as well as the use of targeted agents based on evolving molecular discoveries, will elucidate optimal personalized approaches for this challenging disease.
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| 3. |
- Mychaleckyj, Josyf C., et al.
(författare)
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HLA genotyping in the international Type 1 Diabetes Genetics Consortium
- 2010
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Ingår i: Clinical Trials. - : SAGE Publications. - 1740-7753 .- 1740-7745. ; 7:1 suppl., s. 75-87
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Tidskriftsartikel (refereegranskat)abstract
- Background Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution genotyping of HLA-A, B, C, DRB1, DQ, and DP loci in all affected sibling pair and trio families, and cases and controls, recruited from four networks worldwide, for analysis with clinical phenotypes and immunological markers. Purpose In this article, we present the operational strategy of training, classification, reporting, and quality control of HLA genotyping in four laboratories on three continents over nearly 5 years. Methods Methods to standardize HLA genotyping at eight loci included: central training and initial certification testing; the use of uniform reagents, protocols, instrumentation, and software versions; an automated data transfer; and the use of standardized nomenclature and allele databases. We implemented a rigorous and consistent quality control process, reinforced by repeated workshops, yearly meetings, and telephone conferences. Results A total of 15,246 samples have been HLA genotyped at eight loci to four-digit resolution; an additional 6797 samples have been HLA genotyped at two loci. The genotyping repeat rate decreased significantly over time, with an estimated unresolved Mendelian inconsistency rate of 0.21%. Annual quality control exercises tested 2192 genotypes (4384 alleles) and achieved 99.82% intra-laboratory and 99.68% inter-laboratory concordances. Limitations The chosen genotyping platform was unable to distinguish many allele combinations, which would require further multiple stepwise testing to resolve. For these combinations, a standard allele assignment was agreed upon, allowing further analysis if required. Conclusions High-resolution HLA genotyping can be performed in multiple laboratories using standard equipment, reagents, protocols, software, and communication to produce consistent and reproducible data with minimal systematic error. Many of the strategies used in this study are generally applicable to other large multi-center studies. Clinical Trials 2010; 7: S75-S87. http://ctj.sagepub.com.
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| 4. |
- Noble, Janelle A., et al.
(författare)
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HLA Class I and Genetic Susceptibility to Type 1 Diabetes Results From the Type 1 Diabetes Genetics Consortium
- 2010
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Ingår i: Diabetes. - : American Diabetes Association. - 1939-327X .- 0012-1797. ; 59:11, s. 2972-2979
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE-We report here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C) on 1,753 multiplex pedigrees from the Type 1 Diabetes Genetics Consortium (T1DGC), a large international collaborative study. RESEARCH DESIGN AND METHODS-Complete eight-locus HLA genotyping data were generated. Expected patient class I (HLA-A, -B, and -C) allele frequencies were calculated, based on linkage disequilibrium (LD) patterns with observed HLA class II DRB1-DQA1-DQB1 haplotype frequencies. Expected frequencies were compared to observed allele frequencies in patients. RESULTS-Significant type 1 diabetes associations were observed at all class I HLA loci. After accounting for LD with HLA class II, the most significantly type 1 diabetes-associated alleles were B*5701 (odds ratio 0.19; P = 4 x 10(-11)) and B*3906 (10.31; P = 4 X 10(-10)). Other significantly type 1 diabetes-associated alleles included A*2402, A*0201, B*1801, and C*0501 (predisposing) and A*1101, A*3201, A*6601, B*0702, B*4403, B*3502, C*1601, and C*0401 (protective). Some alleles, notably B*3906, appear to modulate the risk of all DRB1-DQA1-DQB1 haplotypes on which they reside, suggesting a class I effect that is independent of class H. Other class I type 1 diabetes associations appear to be specific to individual class H haplotypes. Some apparent associations (e.g., C*1601) could be attributed to strong LD to another class I susceptibility locus (B*4403). CONCLUSIONS-These data indicate that HLA class I alleles, in addition to and independently from HLA class H alleles, are associated with type 1 diabetes. Diabetes 59:2972-2979, 2010
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| 6. |
- Veers, Paul, et al.
(författare)
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Grand challenges in the science of wind energy
- 2019
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 336:6464
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Tidskriftsartikel (refereegranskat)abstract
- Harvested by advanced technical systems honed over decades of research and development, wind energy has become a mainstream energy resource. However, continued innovation is needed to realize the potential of wind to serve the global demand for clean energy. Here, we outline three interdependent, cross-disciplinary grand challenges underpinning this research endeavor. The first is the need for a deeper understanding of the physics of atmospheric flow in the critical zone of plant operation. The second involves science and engineering of the largest dynamic, rotating machines in the world. The third encompasses optimization and control of fleets of wind plants working synergistically within the electricity grid. Addressing these challenges could enable wind power to provide as much as half of our global electricity needs and perhaps beyond.
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| 7. |
- Wang, Li-San, et al.
(författare)
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Rarity of the Alzheimer Disease-Protective APP A673T Variant in the United States.
- 2015
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Ingår i: JAMA neurology. - : American Medical Association (AMA). - 2168-6157 .- 2168-6149. ; 72:2
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Tidskriftsartikel (refereegranskat)abstract
- Recently, a rare variant in the amyloid precursor protein gene (APP) was described in a population from Iceland. This variant, in which alanine is replaced by threonine at position 673 (A673T), appears to protect against late-onset Alzheimer disease (AD). We evaluated the frequency of this variant in AD cases and cognitively normal controls to determine whether this variant will significantly contribute to risk assessment in individuals in the United States.
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