24 results on '"Kaneko, Hiroto"'
Search Results
2. Prognostic model for relapsed/refractory transplant-ineligible diffuse large B-cell lymphoma utilizing the lymphocyte-to-monocyte ratio
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Ide, Daisuke, Fujino, Takahiro, Kobayashi, Tsutomu, Egashira, Aya, Miyashita, Akihiro, Mizuhara, Kentaro, Isa, Reiko, Tsukamoto, Taku, Mizutani, Shinsuke, Uchiyama, Hitoji, Kaneko, Hiroto, Uoshima, Nobuhiko, Kawata, Eri, Taniwaki, Masafumi, Shimura, Yuji, and Kuroda, Junya
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- 2024
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3. Characteristic and recurrent pathophysiological features of non-duodenal follicular lymphoma of the small intestine
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Matsumoto, Yosuke, Masuda, Tetsuya, Yoshida, Mihoko, Shimura, Kazuho, Kaneko, Hiroto, and Taniwaki, Masafumi
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- 2024
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4. Negative impact of immunoparesis in response to anti-SARS-CoV-2 mRNA vaccination of patients with multiple myeloma
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Onishi, Akio, Matsumura-Kimoto, Yayoi, Mizutani, Shinsuke, Isa, Reiko, Fujino, Takahiro, Tsukamoto, Taku, Miyashita, Akihiro, Okumura, Keita, Nishiyama, Daichi, Hirakawa, Koichi, Shimura, Kazuho, Kaneko, Hiroto, Kiyota, Miki, Kawata, Eri, Takahashi, Ryoichi, Kobayashi, Tsutomu, Uchiyama, Hitoji, Uoshima, Nobuhiko, Nukui, Yoko, Shimura, Yuji, Inaba, Tohru, and Kuroda, Junya
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- 2024
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5. Real-world practice-based prognostic model for higher-risk myelodysplastic syndromes treated with azacitidine monotherapy: The Kyoto prognostic scoring system
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Okamoto, Haruya, Inoue, Yu, Miyashita, Akihiro, Kawaji-Kanayama, Yuka, Chinen, Shotaro, Fujino, Takahiro, Tsukamoto, Taku, Shimura, Yuji, Mizutani, Shinsuke, Kaneko, Hiroto, Kuwahara-Ota, Saeko, Fuchida, Shin-ichi, Nishiyama, Daichi, Hirakawa, Koichi, Uchiyama, Hitoji, Uoshima, Nobuhiko, Kawata, Eri, and Kuroda, Junya
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- 2023
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6. Genomic adaptation of giant viruses in polar oceans
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Meng, Lingjie, Delmont, Tom O., Gaïa, Morgan, Pelletier, Eric, Fernàndez-Guerra, Antonio, Chaffron, Samuel, Neches, Russell Y., Wu, Junyi, Kaneko, Hiroto, Endo, Hisashi, and Ogata, Hiroyuki
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- 2023
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7. Predicting global distributions of eukaryotic plankton communities from satellite data
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Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, and Ogata, Hiroyuki
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- 2023
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8. Clinical impacts of frailty, poor performance status, and advanced age in carfilzomib-containing treatment for relapsed/refractory multiple myeloma: post hoc investigation of the KOTOSG multicenter pilot prospective observational study
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Kawaji-Kanayama, Yuka, Muramatsu, Ayako, Sasaki, Nana, Shimura, Kazuho, Kiyota, Miki, Fuchida, Shinichi, Isa, Reiko, Fujino, Takahiro, Matsumura-Kimoto, Yayoi, Tsukamoto, Taku, Chinen, Yoshiaki, Mizutani, Shinsuke, Nakao, Mitsushige, Kaneko, Hiroto, Kawata, Eri, Hirakawa, Koichi, Takahashi, Ryoichi, Shimazaki, Chihiro, Uchiyama, Hitoji, Uoshima, Nobuhiko, Shimura, Yuji, Kobayashi, Tsutomu, Taniwaki, Masafumi, and Kuroda, Junya
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- 2022
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9. Binding characteristics of the doxepin E/Z‐isomers to the histamine H1 receptor revealed by receptor‐bound ligand analysis and molecular dynamics study.
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Kaneko, Hiroto, Korenaga, Ryunosuke, Nakamura, Ryota, Kawai, Shinnosuke, Ando, Tadashi, and Shiroishi, Mitsunori
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ISOMERS , *HISTAMINE receptors , *TRICYCLIC antidepressants , *MOLECULAR dynamics , *DOXEPIN - Abstract
Doxepin is an antihistamine and tricyclic antidepressant that binds to the histamine H1 receptor (H1R) with high affinity. Doxepin is an 85:15 mixture of the E‐ and Z‐isomers. The Z‐isomer is well known to be more effective than the E‐isomer, whereas based on the crystal structure of the H1R/doxepin complex, the hydroxyl group of Thr1123.37 is close enough to form a hydrogen bond with the oxygen atom of the E‐isomer. The detailed binding characteristics and reasons for the differences remain unclear. In this study, we analyzed doxepin isomers bound to the receptor following extraction from a purified H1R protein complexed with doxepin. The ratio of the E‐ and Z‐isomers bound to wild‐type (WT) H1R was 55:45, indicating that the Z‐isomer was bound to WT H1R with an approximately 5.2‐fold higher affinity than the E‐isomer. For the T1123.37V mutant, the E/Z ratio was 89:11, indicating that both isomers have similar affinities. Free energy calculations using molecular dynamics (MD) simulations also reproduced the experimental results of the relative binding free energy differences between the isomers for WT and T1123.37V. Furthermore, MD simulations revealed that the hydroxyl group of T1123.37 did not form hydrogen bonds with the E‐isomer, but with the adjacent residues in the binding pocket. Analysis of the receptor‐bound doxepin and MD simulations suggested that the hydroxyl group of T1123.37 contributes to the formation of a chemical environment in the binding pocket, which is slightly more favorable for the Z‐isomer without hydrogen bonding with doxepin. [ABSTRACT FROM AUTHOR]
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- 2024
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Kaneko, Hiroto and Kaneko, Hiroto
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- 2024
11. Clinical impacts of severe thrombocytopenia in the first cycle of azacitidine monotherapy and cytogenetics in patients with myelodysplastic syndrome: The Kyoto Conditional Survival Scoring System
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Inoue, Yu, primary, Okamoto, Haruya, additional, Miyashita, Akihiro, additional, Kawaji‑Kanayama, Yuka, additional, Chinen, Shotaro, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Shimura, Yuji, additional, Mizutani, Shinsuke, additional, Kaneko, Hiroto, additional, Kuwahara‑Ota, Saeko, additional, Fuchida, Shin-Ichi, additional, Nishiyama, Daichi, additional, Hirakawa, Koichi, additional, Uchiyama, Hitoji, additional, Uoshima, Nobuhiko, additional, Kawata, Eri, additional, and Kuroda, Junya, additional
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- 2023
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12. Predicting global distributions of eukaryotic plankton communities from satellite data
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80795055, 70291432, Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, Ogata, Hiroyuki, 80795055, 70291432, Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, and Ogata, Hiroyuki
- Abstract
Satellite remote sensing is a powerful tool to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here, we present an approach to identify community types from a global plankton network that includes phytoplankton and heterotrophic protists and to predict their biogeography using global satellite observations. Six plankton community types were identified from a co-occurrence network inferred using a novel rDNA 18 S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to construct a model that predicted these community types from satellite data. The model showed an overall 67% accuracy in the prediction of the community types. The prediction using 17 satellite-derived parameters showed better performance than that using only temperature and/or the concentration of chlorophyll a. The constructed model predicted the global spatiotemporal distribution of community types over 19 years. The predicted distributions exhibited strong seasonal changes in community types in the subarctic–subtropical boundary regions, which were consistent with previous field observations. The model also identified the long-term trends in the distribution of community types, which suggested responses to ocean warming.
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- 2023
13. Genomic adaptation of giant viruses in polar oceans
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80795055, 70291432, Meng, Lingjie, Delmont, Tom O., Gaïa, Morgan, Pelletier, Eric, Fernàndez-Guerra, Antonio, Chaffron, Samuel, Neches, Russell Y., Wu, Junyi, Kaneko, Hiroto, Endo, Hisashi, Ogata, Hiroyuki, 80795055, 70291432, Meng, Lingjie, Delmont, Tom O., Gaïa, Morgan, Pelletier, Eric, Fernàndez-Guerra, Antonio, Chaffron, Samuel, Neches, Russell Y., Wu, Junyi, Kaneko, Hiroto, Endo, Hisashi, and Ogata, Hiroyuki
- Abstract
Despite being perennially frigid, polar oceans form an ecosystem hosting high and unique biodiversity. Various organisms show different adaptive strategies in this habitat, but how viruses adapt to this environment is largely unknown. Viruses of phyla Nucleocytoviricota and Mirusviricota are groups of eukaryote-infecting large and giant DNA viruses with genomes encoding a variety of functions. Here, by leveraging the Global Ocean Eukaryotic Viral database, we investigate the biogeography and functional repertoire of these viruses at a global scale. We first confirm the existence of an ecological barrier that clearly separates polar and nonpolar viral communities, and then demonstrate that temperature drives dramatic changes in the virus–host network at the polar–nonpolar boundary. Ancestral niche reconstruction suggests that adaptation of these viruses to polar conditions has occurred repeatedly over the course of evolution, with polar-adapted viruses in the modern ocean being scattered across their phylogeny. Numerous viral genes are specifically associated with polar adaptation, although most of their homologues are not identified as polar-adaptive genes in eukaryotes. These results suggest that giant viruses adapt to cold environments by changing their functional repertoire, and this viral evolutionary strategy is distinct from the polar adaptation strategy of their hosts.
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- 2023
14. Impact of Treatment with Anti-CD20 Monoclonal Antibody on the Production of Neutralizing Antibody Against Anti–SARS-CoV-2 Vaccination in Mature B-Cell Neoplasms
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Onishi,Akio, Matsumura-Kimoto,Yayoi, Mizutani,Shinsuke, Tsukamoto,Taku, Fujino,Takahiro, Miyashita,Akihiro, Nishiyama,Daichi, Shimura,Kazuho, Kaneko,Hiroto, Kawata,Eri, Takahashi,Ryoichi, Kobayashi,Tsutomu, Uchiyama,Hitoji, Uoshima,Nobuhiko, Nukui,Yoko, Shimura,Yuji, Inaba,Tohru, Kuroda,Junya, Onishi,Akio, Matsumura-Kimoto,Yayoi, Mizutani,Shinsuke, Tsukamoto,Taku, Fujino,Takahiro, Miyashita,Akihiro, Nishiyama,Daichi, Shimura,Kazuho, Kaneko,Hiroto, Kawata,Eri, Takahashi,Ryoichi, Kobayashi,Tsutomu, Uchiyama,Hitoji, Uoshima,Nobuhiko, Nukui,Yoko, Shimura,Yuji, Inaba,Tohru, and Kuroda,Junya
- Abstract
Akio Onishi,1 Yayoi Matsumura-Kimoto,1,2 Shinsuke Mizutani,1 Taku Tsukamoto,1 Takahiro Fujino,1 Akihiro Miyashita,1,3 Daichi Nishiyama,4 Kazuho Shimura,5 Hiroto Kaneko,5 Eri Kawata,6 Ryoichi Takahashi,7 Tsutomu Kobayashi,1,8 Hitoji Uchiyama,8 Nobuhiko Uoshima,3 Yoko Nukui,9 Yuji Shimura,1 Tohru Inaba,9 Junya Kuroda1 1Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan; 2Department of Hematology, Japan Community Health Care Organization Kyoto Kuramaguchi Medical Center, Kyoto, Japan; 3Department of Hematology, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan; 4Department of Hematology, Fukuchiyama City Hospital, Fukuchiyama, Japan; 5Department of Hematology, Aiseikai Yamashina Hospital, Kyoto, Japan; 6Department of Hematology, Matsushita Memorial Hospital, Moriguchi, Japan; 7Department of Hematology, Omihachiman Community Medical Center, Omihachiman, Japan; 8Department of Hematology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan; 9Division of Infection Control & Molecular Laboratory Medicine, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, JapanCorrespondence: Junya Kuroda, Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto, 602-8566, Japan, Tel +81-75-251-5740, Fax +81-75-251-5743, Email junkuro@koto.kpu-m.ac.jpBackground and Purpose: Anti-CD20 monoclonal antibodies (MoAbs), rituximab (RIT), and obinutuzumab (OBZ) are the central components of immunochemotherapy for B-cell lymphoma (BCL). However, these agents potentially cause B-cell depletion, resulting in the impairment of antibody (Ab) production. During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the optimal prediction of Ab response against antiâSARS-CoV-2 vaccination is critically important in patients with BCL treated by B-cell depletion therapeutics to prevent coronavirus disease 2019
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- 2023
15. Predicting global distributions of eukaryotic plankton communities from satellite data
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Kyoto University, France Génomique, European Research Council, European Commission, Agencia Estatal de Investigación (España), Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Acinas, Silvia G., Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, Vargas, Colomban de, Tomii, Kentaro, Ogata, Hiroyuki, Kyoto University, France Génomique, European Research Council, European Commission, Agencia Estatal de Investigación (España), Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Tara Oceans Coordinators, Acinas, Silvia G., Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, Vargas, Colomban de, Tomii, Kentaro, and Ogata, Hiroyuki
- Abstract
Satellite remote sensing is a powerful tool to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here, we present an approach to identify community types from a global plankton network that includes phytoplankton and heterotrophic protists and to predict their biogeography using global satellite observations. Six plankton community types were identified from a co-occurrence network inferred using a novel rDNA 18 S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to construct a model that predicted these community types from satellite data. The model showed an overall 67% accuracy in the prediction of the community types. The prediction using 17 satellite-derived parameters showed better performance than that using only temperature and/or the concentration of chlorophyll a. The constructed model predicted the global spatiotemporal distribution of community types over 19 years. The predicted distributions exhibited strong seasonal changes in community types in the subarctic–subtropical boundary regions, which were consistent with previous field observations. The model also identified the long-term trends in the distribution of community types, which suggested responses to ocean warming
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- 2023
16. Genomic adaptation of giant viruses in polar oceans
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Meng, Lingjie, primary, Delmont, Tom O., additional, Gaïa, Morgan, additional, Pelletier, Eric, additional, Fernàndez-Guerra, Antonio, additional, Chaffron, Samuel, additional, Neches, Russell Y., additional, Wu, Junyi, additional, Kaneko, Hiroto, additional, Endo, Hisashi, additional, and Ogata, Hiroyuki, additional
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- 2023
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17. Impact of Treatment with Anti-CD20 Monoclonal Antibody on the Production of Neutralizing Antibody Against Anti–SARS-CoV-2 Vaccination in Mature B-Cell Neoplasms
- Author
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Onishi, Akio, primary, Matsumura-Kimoto, Yayoi, additional, Mizutani, Shinsuke, additional, Tsukamoto, Taku, additional, Fujino, Takahiro, additional, Miyashita, Akihiro, additional, Nishiyama, Daichi, additional, Shimura, Kazuho, additional, Kaneko, Hiroto, additional, Kawata, Eri, additional, Takahashi, Ryoichi, additional, Kobayashi, Tsutomu, additional, Uchiyama, Hitoji, additional, Uoshima, Nobuhiko, additional, Nukui, Yoko, additional, Shimura, Yuji, additional, Inaba, Tohru, additional, and Kuroda, Junya, additional
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- 2023
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18. Global observation of plankton communities from space
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Kaneko, Hiroto, Endo, Hisashi, Henry, Nicolas, Berney, Cédric, Mahé, Frédéric, Poulain, Julie, Labadie, Karine, Beluche, Odette, El Hourany, Roy, Chaffron, Samuel, Wincker, Patrick, Nakamura, Ryosuke, Karp-Boss, Lee, Boss, Emmanuel, Bowler, Chris, de Vargas, Colomban, Tomii, Kentaro, Ogata, Hiroyuki, Institute for Chemical Research, Kyoto University, ABiMS - Informatique et bioinformatique = Analysis and Bioinformatics for Marine Science (ABIMS), Fédération de recherche de Roscoff (FR2424), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Global Oceans Systems Ecology & Evolution - Tara Oceans (GOSEE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Université de Toulon (UTLN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche pour le Développement (IRD [France-Nord])-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-European Molecular Biology Laboratory (EMBL)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Université australe du Chili, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Plant Health Institute of Montpellier (UMR PHIM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ), National Institute of Advanced Industrial Science and Technology (AIST), University of Maine, School of Marine Sciences, ECOlogy of MArine Plankton (ECOMAP), Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR)
- Subjects
global plankton network ,Surveillance communautés de planctons ,Plankton communities monitoring ,Satelites imagery ,[SDV]Life Sciences [q-bio] ,Observations par satellite ,Réseau mondial de plancton ,Satellite remote sensing observations ,Images satellites - Abstract
Satellite remote sensing from space is a powerful way to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here we present an approach to identify representative communities from a global plankton network that included both zooplankton and phytoplankton and using global satellite observations to predict their biogeography. Six representative plankton communities were identified from a global co-occurrence network inferred using a novel rDNA 18S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to train a model that predicted these representative communities from satellite data. The model showed an overall 67% accuracy in the prediction of the representative communities. The prediction based on 17 satellite-derived parameters showed better performance than based only on temperature and/or the concentration of chlorophyll a. The trained model allowed to predict the global spatiotemporal distribution of communities over 19-years. Our model exhibited strong seasonal changes in the community compositions in the subarctic-subtropical boundary regions, which were consistent with previous field observations. This network-oriented approach can easily be extended to more comprehensive models including prokaryotes as well as viruses.
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- 2022
19. Nutritional and Cytogenetic Assessment Predicts Favorable Response to Azacitidine Monotherapy for Myelodysplastic Syndromes
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Okamoto, Haruya, primary, Inoue, Yu, additional, Miyashita, Akihiro, additional, Kawaji-Kanayama, Yuka, additional, Chinen, Shotaro, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Shimura, Yuji, additional, Mizutani, Shinsuke, additional, Kaneko, Hiroto, additional, Kuwahara, Saeko, additional, Fuchida, Shin-ichi, additional, Nishiyama, Daichi, additional, Hirakawa, Koichi, additional, and Kuroda, Junya, additional
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- 2022
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20. Watchful waiting is an acceptable treatment option for asymptomatic primary ocular adnexal mucosa‐associated lymphoid tissue lymphoma: A retrospective study
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Mizuhara, Kentaro, primary, Kobayashi, Tsutomu, additional, Nakao, Mitsushige, additional, Takahashi, Ryoichi, additional, Kaneko, Hiroto, additional, Shimura, Kazuho, additional, Hirakawa, Koichi, additional, Uoshima, Nobuhiko, additional, Wada, Katsuya, additional, Kawata, Eri, additional, Isa, Reiko, additional, Fujino, Takahiro, additional, Tsukamoto, Taku, additional, Mizutani, Shinsuke, additional, Shimura, Yuji, additional, Yoneda, Akiko, additional, Watanabe, Akihide, additional, Sotozono, Chie, additional, and Kuroda, Junya, additional
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- 2022
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21. Watchful waiting is an acceptable treatment option for asymptomatic primary ocular adnexal mucosa‐associated lymphoid tissue lymphoma: A retrospective study.
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Mizuhara, Kentaro, Kobayashi, Tsutomu, Nakao, Mitsushige, Takahashi, Ryoichi, Kaneko, Hiroto, Shimura, Kazuho, Hirakawa, Koichi, Uoshima, Nobuhiko, Wada, Katsuya, Kawata, Eri, Isa, Reiko, Fujino, Takahiro, Tsukamoto, Taku, Mizutani, Shinsuke, Shimura, Yuji, Yoneda, Akiko, Watanabe, Akihide, Sotozono, Chie, and Kuroda, Junya
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MUCOSA-associated lymphoid tissue lymphoma ,ADNEXAL diseases ,WATCHFUL waiting ,ASYMPTOMATIC patients ,LACRIMAL apparatus ,BLOOD diseases - Abstract
Background: Primary ocular adnexal mucosa‐associated lymphoid tissue (MALT) lymphoma (POAML) is the most common subtype of indolent ocular adnexal lymphomas. Although radiotherapy (RT) is the standard of care for localized POAML, it can occasionally lead to permanent side effects. Other treatment strategies, such as rituximab (R) monotherapy and immunochemotherapy, have been used for POAML treatment, but their long‐term benefits and relative merits remain unclear. While watchful waiting (WW) is a potential option for some indolent lymphomas, the benefits of WW for POAML patients are also unclear. Methods: We here retrospectively analyzed 75 patients who were diagnosed with POAML between 2008 and 2019 in the institutions of the Kyoto Clinical Hematology Study Group. Results: Commonly involved sites were conjunctiva (42.7%), orbit (36.0%), and lacrimal gland (12.0%), and most patients (92.0%) presented with Ann Arbor stage IE disease. The treatment strategy was selected at the physicians' discretion. More patients without subjective symptoms by tumor mass were subjected to WW (29 patients), while more patients with tumor‐derived subjective symptoms were treated by tumor‐directed therapy (24 received focal RT, and 19 received R monotherapy). Complete response rates were 79.2% and 42.1% in the RT and R groups, respectively. At 60 months of follow‐up, the estimated proportions of POAML patients not requiring new treatment were 69.4%, 85.2%, and 53.8% in the WW, RT, and R groups, respectively. There were no significant differences in the time to start a new treatment between WW and RT groups (median: both not reached [NR], p = 0.187) and between WW and R groups (median: NR vs. 69.0 months, p = 0.554). No specific predictive factor for the future need of treatment was identified in the WW group. Conclusion: Our results demonstrate WW may be an acceptable treatment option for POAML, especially for asymptomatic patients. [ABSTRACT FROM AUTHOR]
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- 2023
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22. Pretreatment serum level of interleukin-6 predicts carfilzomib-induced hypertension in relapsed/refractory multiple myeloma.
- Author
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Muramatsu, Ayako, Kobayashi, Tsutomu, Kawaji-Kanayama, Yuka, Uchiyama, Hitoji, Sasaki, Nana, Uoshima, Nobuhiko, Nakao, Mitsushige, Takahashi, Ryoichi, Shimura, Kazuho, Kaneko, Hiroto, Kiyota, Miki, Wada, Katsuya, Chinen, Yoshiaki, Hirakawa, Koichi, Fuchida, Shin-ichi, Shimazaki, Chihiro, Mizutani, Shinsuke, Tsukamoto, Taku, Shimura, Yuji, and Taniwaki, Masafumi
- Subjects
MULTIPLE myeloma ,INTERLEUKIN-6 ,BLOOD diseases ,HYPERTENSION risk factors ,HYPERTENSION - Abstract
Carfilzomib (CFZ) constitutes powerful combinatory therapy for relapsed/refractory multiple myeloma (RRMM); however, cardiovascular adverse events (CVAEs) have been shown as major treatment obstacles with the use of CFZ. Along with our multi-institutional prospective observational study by the Kyoto Clinical Hematology Study Group on the efficacy and safety of CFZ-based treatments (UMIN000025108), we here performed an ad hoc analysis of CFZ-related CVAEs in 50 patients with RRMM. We analyzed the association between CFZ-related CVAEs and pre-planned examinations, including patients' background, electrocardiographic findings, echocardiographic findings, and serum/plasma levels of 18 potential candidate biomarkers. The common CVAEs were hypertension (42%), arrhythmia (14%), and prolongation of QT corrected interval (10%), whereas no serious CVAEs occurred. The pretreatment serum level of interleukin-6 was identified as a significant risk factor for CFZ-related hypertension. This study revealed hypertension as the most frequent CFZ-related CVAE and suggested that baseline serum interleukin-6 is a useful predictor for CFZ-induced hypertension. [ABSTRACT FROM AUTHOR]
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- 2022
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23. Clinical impacts of severe thrombocytopenia in the first cycle of azacitidine monotherapy and cytogenetics in patients with myelodysplastic syndrome: The Kyoto Conditional Survival Scoring System.
- Author
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Inoue, Yu, Okamoto, Haruya, Miyashita, Akihiro, Kawaji-Kanayama, Yuka, Chinen, Shotaro, Fujino, Takahiro, Tsukamoto, Taku, Shimura, Yuji, Mizutani, Shinsuke, Kaneko, Hiroto, Kuwahara-Ota, Saeko, Fuchida, Shin-Ichi, Nishiyama, Daichi, Hirakawa, Koichi, Uchiyama, Hitoji, Uoshima, Nobuhiko, Kawata, Eri, and Kuroda, Junya
- Subjects
MYELODYSPLASTIC syndromes ,CYTOGENETICS ,AZACITIDINE ,STRUCTURED treatment interruption ,THROMBOCYTOPENIA - Abstract
Azacitidine (AZA) has been one of the standard treatments for transplantation-ineligible patients with myelodysplastic syndrome (MDS); however, hematological toxicities frequently cause treatment interruption in the early phase of the therapy. The present study conducted a multicenter retrospective study to investigate the prognostic impacts of various factors, including factors included in the Revised International Prognostic Scoring System (IPSS-R) and severe cytopenia in the early phase of AZA monotherapy in 212 patients with MDS. Severe cytopenia was evaluated after the initiation of therapy by absolute neutrophil counts on the 29th day after AZA (ANC29) initiation, and red cell concentrates (RCC) and platelet concentrate (PC) transfusion units required within 28 days from the start of AZA, designated in the present study as RCC28 and PC28, respectively. The survival period was determined from the 29th day of AZA treatment to death from any cause as the conditional survival period after the first cycle of AZA (CS-AZA1). Multivariate analysis demonstrated that severe thrombocytopenia defined by >30 units of PC28 and very poor risk cytogenetics according to IPSS-R were independent prognostic factors for CS-AZA1. The Kyoto Conditional Survival Scoring System was subsequently developed by incorporating severe thrombocytopenia defined by PC28 and very poor risk cytogenetics, which successfully stratified the risks of the patients in CS-AZA1. In conclusion, extreme PC transfusion dependency during the first cycle of AZA and very poor risk cytogenetics are important prognostic factors in AZA monotherapy for MDS. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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24. Prognostic impact of resistance to bortezomib and/or lenalidomide in carfilzomib-based therapies for relapsed/refractory multiple myeloma: The Kyoto Clinical Hematology Study Group, multicenter, pilot, prospective, observational study in Asian patients.
- Author
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Kawaji-Kanayama Y, Kobayashi T, Muramatsu A, Uchiyama H, Sasaki N, Uoshima N, Nakao M, Takahashi R, Shimura K, Kaneko H, Kiyota M, Wada K, Chinen Y, Hirakawa K, Fuchida SI, Shimazaki C, Matsumura-Kimoto Y, Mizutani S, Tsukamoto T, Shimura Y, Horiike S, Taniwaki M, and Kuroda J
- Subjects
- Adult, Aged, Aged, 80 and over, Bortezomib administration & dosage, Female, Humans, Japan, Lenalidomide administration & dosage, Male, Middle Aged, Oligopeptides administration & dosage, Pilot Projects, Prognosis, Prospective Studies, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Drug Resistance, Neoplasm, Multiple Myeloma drug therapy
- Abstract
Background: Combinatory strategies with carfilzomib (CFZ), a second-generation proteasome inhibitor, plus dexamethasone (DEX) with or without lenalidomide (LEN) have shown promising efficacy for patients with relapsed/refractory multiple myeloma (RRMM) in pivotal clinical trials. However, their effects on patients who were resistance to bortezomib (BTZ) and/or LEN have not been fully evaluated in a daily practice setting., Aims: To evaluate the real-world efficacy and safety of CFZ-based treatments; that is, CFZ with LEN plus DEX (KRD therapy) and CFZ with DEX (KD therapy), in Asian patients, we conducted a multicenter pilot prospective observational study in the Kyoto Clinical Hematology Study Group., Methods and Results: All 50 patients with RRMM enrolled in this study were treated with CFZ-based treatments between 2017 and 2019. KRD and KD were administered to 31 and 19 patients, respectively. The overall response rates (ORRs) were 80.6% with KRD and 73.7% with KD. Two-year progression-free survival (PFS) and overall survival (OS) were 58.5% and 79.7% with KRD, and 23.1% and 52.6% with KD. By multivariate analysis, refractoriness to BTZ and to LEN were identified as independent unfavorable factors for both PFS and OS. The common non-hematologic AEs included hypertension (42.0%), fever (24.0%), fatigue (24.0%), and infection (16.0%). No serious heart failure was observed. This study is registered as UMIN000025108., Conclusion: This study suggests the need of the development of novel CFZ-containing strategy which can overcome the refractoriness to BTZ and/or LEN, while both KRD and KD were shown to be mostly feasible in Asian patients in a daily practice setting., (© 2021 The Authors. Cancer Reports published by Wiley Periodicals LLC.)
- Published
- 2022
- Full Text
- View/download PDF
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