N. Terui (Nobuhiko)
http://repub.eur.nl/ppl/262/
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http://repub.eur.nl/
RePub, Erasmus University RepositoryPediatric acute myeloid leukemia with t(8;16)(p11;p13), a distinct clinical and biological entity: A collaborative study by the International-Berlin- Frankfurt-Münster AML-study group
http://repub.eur.nl/pub/63018/
Thu, 10 Oct 2013 00:00:01 GMT<div>E.A. Coenen</div><div>C.M. Zwaan</div><div>D. Reinhardt</div><div>C.J. Harrison</div><div>O.A. Haas</div><div>V. de Haas</div><div>V. Mihál</div><div>B. de Moerloose</div><div>M. Jeison</div><div>J.E. Rubnitz</div><div>D. Tomizawa</div><div>D. Johnston</div><div>T.A. Alonzo</div><div>H. Hasle</div><div>A. Auvrignon</div><div>M.N. Dworzak</div><div>A. Pession</div><div>V.H.J. van der Velden</div><div>J. Swansbury</div><div>K.-F. Wong</div><div>N. Terui</div><div>S. Savasan</div><div>M. Winstanley</div><div>G. Vaitkeviciene</div><div>M. Zimmermann</div><div>R. Pieters</div><div>M.M. van den Heuvel-Eibrink</div>
In pediatric acute myeloid leukemia (AML), cytogenetic abnormalities are strong indicators of prognosis. Some recurrent cytogenetic abnormalities, such as t(8;16)(p11;p13), are so rare that collaborative studies are required to define their prognostic impact. We collected the clinical characteristics, morphology, and immunophenotypes of 62 pediatric AML patients with t(8;16)(p11;p13) from 18 countries participating in the International Berlin-Frankfurt-Münster (I-BFM) AML study group. We used the AML-BFM cohort diagnosed from 1995-2005 (n = 543) as a reference cohort. Median age of the pediatric t(8;16)(p11;p13) AML patients was significantly lower (1.2 years). The majority (97%) had M4-M5 French-American-British type, significantly different from the reference cohort. Erythrophagocytosis (70%), leukemia cutis (58%), and disseminated intravascular coagulation (39%) occurred frequently. Strikingly, spontaneous remissions occurred in 7 neonates with t(8;16)(p11;p13), of whom 3 remain in continuous remission. The 5-year overall survival of patients diagnosed after 1993 was 59%, similar to the reference cohort (P =.14). Gene expression profiles of t(8;16) (p11;p13) pediatric AML cases clustered close to, but distinct from, MLL-rearranged AML. Highly expressed genes included HOXA11, HOXA10, RET, PERP, and GGA2. In conclusion, pediatric t(8;16)(p11;p13) AML is a rare entity defined by a unique gene expression signature and distinct clinical features in whom spontaneous remissions occur in a subset of neonatal cases.Combined forecasts from linear and nonlinear time series models
http://repub.eur.nl/pub/11338/
Tue, 30 Jul 2002 00:00:01 GMT<div>N. Terui</div><div>H.K. van Dijk</div>
Combined forecasts from a linear and a nonlinear model are investigated for time series with possibly nonlinear characteristics. The forecasts are combined by a constant coefficient regression method as well as a time varying method. The time varying method allows for a locally (non)linear modeling. The methods are applied to three data sets: Canadian lynx and sunspot series, US annual macro-economic time series — used by Nelson and Plosser (J. Monetary Econ., 10 (1982) 139) — and US monthly unemployment rate and production indices. It is shown that the combined forecasts perform well, especially with time varying coefficients. This result holds for out of sample performance for the sunspot series, the Canadian lynx number series and the monthly series, but it does not uniformly hold for the Nelson and Plosser economic time series.Combined forecasts from linear and nonlinear time series models
http://repub.eur.nl/pub/1621/
Wed, 08 Dec 1999 00:00:01 GMT<div>N. Terui</div><div>H.K. van Dijk</div>
Combined forecasts from a linear and a nonlinear model are investigated for time series with possibly nonlinear characteristics. The forecasts are combined by a constant coefficient regression method as well as a time varying method. The time varying method allows for a locally (non)linear model. The methods are applied to data from two kinds of disciplines: the Canadian lynx and sunspot series from the natural sciences, and Nelson-Plosser's U.S. series from economics. It is shown that the combined forecasts perform well, especially with time varying coefficients. This result holds for out of sample performance for the sunspot and Canadian lynx number series, but it does not uniformly hold for economic time series.Combined Forecasts from Linear and Nonlinear Time Series Models
http://repub.eur.nl/pub/7700/
Tue, 30 Nov 1999 00:00:01 GMT<div>N. Terui</div><div>H.K. van Dijk</div>
Combined forecasts from a linear and a nonlinear model are investigated for time series with possibly nonlinear characteristics. The forecasts are combined by a constant coefficient regression method as well as a time varying method. The time varying method allows for a locally (non)linear model. The methods are applied to data from two kinds of disciplines: the Canadian lynx and sunspot series from the natural sciences, and Nelson-Plosser's U.S. series from economics. It is shown that the combined forecasts perform well, especially with time varying coefficients. This result holds for out of sample performance for the sunspot and Canadian lynx number series, but it does not uniformly hold for economic time series.