5 results on '"Nakanishi, Toru"'
Search Results
2. A mass-lumping finite element method for radially symmetric solution of a multidimensional semilinear heat equation with blow-up
- Author
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Nakanishi, Toru and Saito, Norikazu
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Computational Theory and Mathematics ,Applied Mathematics ,FOS: Mathematics ,Mathematics - Numerical Analysis ,Numerical Analysis (math.NA) ,65M60(Primary), 35K58(Secondary) ,Computer Science Applications - Abstract
This study presents a new mass-lumping finite element method for computing the radially symmetric solution of a semilinear heat equation in an $N$ dimensional ball ($N\ge 2$). We provide two schemes, (ML-1) and (ML-2), and derive their error estimates through the discrete maximum principle. In the weighted $L^{2}$ norm, the convergence of (ML-1) was at the optimal order but that of (ML-2) was only at sub-optimal order. Nevertheless, scheme (ML-2) reproduces a blow-up of the solution of the original equation. In fact, in scheme (ML-2), we could accurately approximate the blow-up time. Our theoretical results were validated in numerical experiments., Comment: 28 pages, 10 figures
- Published
- 2020
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3. Exome genotyping arrays to identify rare and low frequency variants associated with epithelial ovarian cancer risk
- Author
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Permuth, Jennifer B, Pirie, Ailith, Ann Chen, Y, Lin, Hui-Yi, Reid, Brett M, Chen, Zhihua, Monteiro, Alvaro, Dennis, Joe, Mendoza-Fandino, Gustavo, AOCS Study Group, Australian Cancer Study (Ovarian Cancer), Anton-Culver, Hoda, Bandera, Elisa V, Bisogna, Maria, Brinton, Louise, Brooks-Wilson, Angela, Carney, Michael E, Chenevix-Trench, Georgia, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, D'Aloisio, Aimee A, Anne Doherty, Jennifer, Earp, Madalene, Edwards, Robert P, Fridley, Brooke L, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Goodman, Marc T, Gronwald, Jacek, Hogdall, Estrid, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Karlan, Beth Y, Kelemen, Linda E, Kjaer, Suzanne K, Kraft, Peter, Le, Nhu D, Levine, Douglas A, Lissowska, Jolanta, Lubinski, Jan, Matsuo, Keitaro, Menon, Usha, Modugno, Rosemary, Moysich, Kirsten B, Nakanishi, Toru, Ness, Roberta B, Olson, Sara, Orlow, Irene, Pearce, Celeste L, Pejovic, Tanja, Poole, Elizabeth M, Ramus, Susan J, Anne Rossing, Mary, Sandler, Dale P, Shu, Xiao-Ou, Song, Honglin, Taylor, Jack A, Teo, Soo-Hwang, Terry, Kathryn L, Thompson, Pamela J, Tworoger, Shelley S, Webb, Penelope M, Wentzensen, Nicolas, Wilkens, Lynne R, Winham, Stacey, Woo, Yin-Ling, Wu, Anna H, Yang, Hannah, Zheng, Wei, Ziogas, Argyrios, Phelan, Catherine M, Schildkraut, Joellen M, Berchuck, Andrew, Goode, Ellen L, Pharoah, Paul DP, Sellers, Thomas A, and Ovarian Cancer Association Consortium
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Genotype ,Ovarian Cancer Association Consortium ,Medical and Health Sciences ,Rare Diseases ,Australian Cancer Study ,Neoplasms ,Ovarian Epithelial ,Genetics ,Humans ,2.1 Biological and endogenous factors ,Genetic Predisposition to Disease ,Exome ,Aetiology ,Polymorphism ,Cancer ,Ovarian Neoplasms ,Genetics & Heredity ,Biotinidase ,Prevention ,Keratin-13 ,Carcinoma ,Human Genome ,Glandular and Epithelial ,AOCS Study Group ,Single Nucleotide ,Biological Sciences ,Actins ,Neoplasm Proteins ,Ovarian Cancer ,Melanocortin ,Female ,Type 2 ,Receptor ,Genome-Wide Association Study - Abstract
Rare and low frequency variants are not well covered in most germline genotyping arrays and are understudied in relation to epithelial ovarian cancer (EOC) risk. To address this gap, we used genotyping arrays targeting rarer protein-coding variation in 8,165 EOC cases and 11,619 controls from the international Ovarian Cancer Association Consortium (OCAC). Pooled association analyses were conducted at the variant and gene level for 98,543 variants directly genotyped through two exome genotyping projects. Only common variants that represent or are in strong linkage disequilibrium (LD) with previously-identified signals at established loci reached traditional thresholds for exome-wide significance (P P≥5.0 ×10 - 7) were detected for rare and low-frequency variants at 16 novel loci. Four rare missense variants were identified (ACTBL2 rs73757391 (5q11.2), BTD rs200337373 (3p25.1), KRT13 rs150321809 (17q21.2) and MC2R rs104894658 (18p11.21)), but only MC2R rs104894668 had a large effect size (OR = 9.66). Genes most strongly associated with EOC risk included ACTBL2 (PAML = 3.23 × 10 - 5; PSKAT-o = 9.23 × 10 - 4) and KRT13 (PAML = 1.67 × 10 - 4; PSKAT-o = 1.07 × 10 - 5), reaffirming variant-level analysis. In summary, this large study identified several rare and low-frequency variants and genes that may contribute to EOC susceptibility, albeit with possible small effects. Future studies that integrate epidemiology, sequencing, and functional assays are needed to further unravel the unexplained heritability and biology of this disease.
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- 2016
4. ABCA transporter gene expression and poor outcome in epithelial ovarian cancer
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Hedditch, Ellen L, Gao, Bo, Russell, Amanda J, Lu, Yi, Emmanuel, Catherine, Beesley, Jonathan, Johnatty, Sharon E, Chen, Xiaoqing, Harnett, Paul, George, Joshy, Australian Ovarian Cancer Study Group, Williams, Rebekka T, Flemming, Claudia, Lambrechts, Diether, Despierre, Evelyn, Lambrechts, Sandrina, Vergote, Ignace, Karlan, Beth, Lester, Jenny, Orsulic, Sandra, Walsh, Christine, Fasching, Peter, Beckmann, Matthias W, Ekici, Arif B, Hein, Alexander, Matsuo, Keitaro, Hosono, Satoyo, Nakanishi, Toru, Yatabe, Yasushi, Pejovic, Tanja, Bean, Yukie, Heitz, Florian, Harter, Philipp, du Bois, Andreas, Schwaab, Ira, Hogdall, Estrid, Kjaer, Susan K, Jensen, Allan, Hogdall, Claus, Lundvall, Lene, Engelholm, Svend Aage, Brown, Bob, Flanagan, James, Metcalf, Michelle D, Siddiqui, Nadeem, Sellers, Thomas, Fridley, Brooke, Cunningham, Julie, Schildkraut, Joellen, Iversen, Ed, Weber, Rachel P, Berchuck, Andrew, Goode, Ellen, Bowtell, David D, Chenevix-Trench, Georgia, deFazio, Anna, Norris, Murray D, MacGregor, Stuart, Haber, Michelle, and Henderson, Michelle J
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Australian Ovarian Cancer Study Group ,endocrine system diseases ,Messenger ,Oncology and Carcinogenesis ,Cystadenocarcinoma ,Kaplan-Meier Estimate ,Real-Time Polymerase Chain Reaction ,Rare Diseases ,Cell Movement ,Neoplasms ,Ovarian Epithelial ,Genetics ,Humans ,Oncology & Carcinogenesis ,Polymorphism ,Cancer ,Ovarian Neoplasms ,Neoplastic ,Carcinoma ,Glandular and Epithelial ,Serous ,Single Nucleotide ,Ovarian Cancer ,Gene Expression Regulation ,5.1 Pharmaceuticals ,Neoplastic Stem Cells ,RNA ,ATP-Binding Cassette Transporters ,Female ,Neoplasm Grading ,Development of treatments and therapeutic interventions ,Genome-Wide Association Study ,ATP Binding Cassette Transporter 1 ,Biotechnology - Abstract
BackgroundATP-binding cassette (ABC) transporters play various roles in cancer biology and drug resistance, but their association with outcomes in serous epithelial ovarian cancer (EOC) is unknown.MethodsThe relationship between clinical outcomes and ABC transporter gene expression in two independent cohorts of high-grade serous EOC tumors was assessed with real-time quantitative polymerase chain reaction, analysis of expression microarray data, and immunohistochemistry. Associations between clinical outcomes and ABCA transporter gene single nucleotide polymorphisms were tested in a genome-wide association study. Impact of short interfering RNA-mediated gene suppression was determined by colony forming and migration assays. Association with survival was assessed with Kaplan-Meier analysis and log-rank tests. All statistical tests were two-sided.ResultsAssociations with outcome were observed with ABC transporters of the "A" subfamily, but not with multidrug transporters. High-level expression of ABCA1, ABCA6, ABCA8, and ABCA9 in primary tumors was statistically significantly associated with reduced survival in serous ovarian cancer patients. Low levels of ABCA5 and the C-allele of rs536009 were associated with shorter overall survival (hazard ratio for death = 1.50; 95% confidence interval [CI] =1.26 to 1.79; P = 6.5e-6). The combined expression pattern of ABCA1, ABCA5, and either ABCA8 or ABCA9 was associated with particularly poor outcome (mean overall survival in group with adverse ABCA1, ABCA5 and ABCA9 gene expression = 33.2 months, 95% CI = 26.4 to 40.1; vs 55.3 months in the group with favorable ABCA gene expression, 95% CI = 49.8 to 60.8; P = .001), independently of tumor stage or surgical debulking status. Suppression of cholesterol transporter ABCA1 inhibited ovarian cancer cell growth and migration in vitro, and statin treatment reduced ovarian cancer cell migration.ConclusionsExpression of ABCA transporters was associated with poor outcome in serous ovarian cancer, implicating lipid trafficking as a potentially important process in EOC.
- Published
- 2014
5. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer
- Author
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Shen, Hui, Fridley, Brooke L, Song, Honglin, Lawrenson, Kate, Cunningham, Julie M, Ramus, Susan J, Cicek, Mine S, Tyrer, Jonathan, Stram, Douglas, Larson, Melissa C, Köbel, Martin, PRACTICAL Consortium, Ziogas, Argyrios, Zheng, Wei, Yang, Hannah P, Wu, Anna H, Wozniak, Eva L, Woo, Yin Ling, Winterhoff, Boris, Wik, Elisabeth, Whittemore, Alice S, Wentzensen, Nicolas, Weber, Rachel Palmieri, Vitonis, Allison F, Vincent, Daniel, Vierkant, Robert A, Vergote, Ignace, Van Den Berg, David, Van Altena, Anne M, Tworoger, Shelley S, Thompson, Pamela J, Tessier, Daniel C, Terry, Kathryn L, Teo, Soo-Hwang, Templeman, Claire, Stram, Daniel O, Southey, Melissa C, Sieh, Weiva, Siddiqui, Nadeem, Shvetsov, Yurii B, Shu, Xiao-Ou, Shridhar, Viji, Wang-Gohrke, Shan, Severi, Gianluca, Schwaab, Ira, Salvesen, Helga B, Rzepecka, Iwona K, Runnebaum, Ingo B, Rossing, Mary Anne, Rodriguez-Rodriguez, Lorna, Risch, Harvey A, Renner, Stefan P, Poole, Elizabeth M, Pike, Malcolm C, Phelan, Catherine M, Pelttari, Liisa M, Pejovic, Tanja, Paul, James, Orlow, Irene, Omar, Siti Zawiah, Olson, Sara H, Odunsi, Kunle, Nickels, Stefan, Nevanlinna, Heli, Ness, Roberta B, Narod, Steven A, Nakanishi, Toru, Moysich, Kirsten B, Monteiro, Alvaro NA, Moes-Sosnowska, Joanna, Modugno, Francesmary, Menon, Usha, McLaughlin, John R, McGuire, Valerie, Matsuo, Keitaro, Adenan, Noor Azmi Mat, Massuger, Leon FAG, Lurie, Galina, Lundvall, Lene, Lubiński, Jan, Lissowska, Jolanta, Levine, Douglas A, Leminen, Arto, Lee, Alice W, Le, Nhu D, Lambrechts, Sandrina, Lambrechts, Diether, Kupryjanczyk, Jolanta, Krakstad, Camilla, Konecny, Gottfried E, Kjaer, Susanne Krüger, Kiemeney, Lambertus A, Kelemen, Linda E, Keeney, Gary L, Karlan, Beth Y, Karevan, Rod, Kalli, Kimberly R, Kajiyama, Hiroaki, Ji, Bu-Tian, and Jensen, Allan
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Australian Ovarian Cancer Study Group ,Ovarian Neoplasms ,endocrine system diseases ,Gene Expression Profiling ,Prevention ,Human Genome ,Single Nucleotide ,DNA Methylation ,female genital diseases and pregnancy complications ,Ovarian Cancer ,Promoter Regions ,Rare Diseases ,Genetic ,Australian Cancer Study ,Genetics ,PRACTICAL Consortium ,Humans ,2.1 Biological and endogenous factors ,Genetic Predisposition to Disease ,Female ,Polymorphism ,Aetiology ,Epigenesis ,Hepatocyte Nuclear Factor 1-beta ,Cancer - Abstract
HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 × 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 × 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.
- Published
- 2013
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