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Your search keyword '"Kato, Hiroaki"' showing total 928 results
Start Over Author "Kato, Hiroaki" Publication Type Academic Journals
928 results on '"Kato, Hiroaki"'

9. Immuno-genomic analysis reveals eosinophilic feature and favorable prognosis of female non-smoking esophageal squamous cell carcinomas

Author

Okawa, Yuki, Sasagawa, Shota, Kato, Hiroaki, Johnson, Todd A., Nagaoka, Koji, Kobayashi, Yukari, Hayashi, Akimasa, Shibayama, Takahiro, Maejima, Kazuhiro, Tanaka, Hiroko, Miyano, Satoru, Shibahara, Junji, Nishizuka, Satoshi, Hirano, Satoshi, Seto, Yasuyuki, Iwaya, Takeshi, Kakimi, Kazuhiro, Yasuda, Takushi, and Nakagawa, Hidewaki

Published
2024
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29. A Model of Wafer Warpage for Trench Field‐Plate Power MOSFETs.

Author

Kato, Hiroaki, Cai, Bozhou, Yuan, Jiuyang, Miyamura, Yoshiji, Nishizawa, Shin‐ichi, and Saito, Wataru

Subjects
*STRAINS & stresses (Mechanics), *DISPLACEMENT (Psychology), *TRENCHES, *ETCHING, *OXIDATION
Abstract

A new wafer warpage model is proposed for the full process design of trench field‐plate (FP) power metal‐oxide‐semiconductor fileld‐effect transitors (MOSFETs) using large‐sized wafer. Trench FP power MOSFETs feature a deep trench and thick oxide at the wafer surface. Wafer warpage occurs due to the stress imbalance between the front and back sides of the wafer. This warpage leads to significant problems with transport errors in manufacturing equipment. This issue is expected to become even more crucial as lateral pitch narrowing is employed to reduce on‐resistance. In this study, two methods are compared to estimate the warpage of a 200 mm diameter Si‐wafer after trench etching and oxidation process. The mechanical stress generated by the oxidation process in several cell units is calculated using a 3D simulation. In the first approach, wafer warpage is converted from the displacement of the cell units. In the second approach, wafer warpage is estimated based on the surface film stress, which is calculated in the 3D simulation. The second approach shows good agreement with experimental results and is applicable to the 300 mm diameter Si process. This method yields more accurate measurements than the method using displacement. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Risk factors and prognosis for supraclavicular lymph node metastasis in patients with thoracic esophageal cancer. Distant or regional metastasis?

Author

Shiraishi, Osamu, Hagi, Takaomi, Hiraki, Yoko, Kato, Hiroaki, Koda, Masashi, Nakanishi, Tomoya, Yasuda, Atsushi, Shinkai, Masayuki, Imano, Motohiro, and Yasuda, Takushi

Subjects
LYMPHATIC metastasis, DISEASE risk factors, PROGNOSIS, OVERALL survival, METASTASIS, ESOPHAGEAL cancer
Abstract

We aimed to determine the frequency and prognosis of supraclavicular (#104) lymph node (LN) metastasis compared with other LN stations in patients with advanced thoracic esophageal cancer and to identify risk factors for metastasis to delineate the indications for three-field lymphadenectomy (3FL). The study cohort of 567 eligible patients with esophageal cancer had undergone subtotal esophagectomy from 2003 to 2020. LN metastasis was defined as pathologically proven metastasis or positron emission tomography-positive LNs. The efficacy index (EI), calculated from the frequency of LN metastases and survival rates, was used as prognostic value of each LN station dissection for patient survival. Risk factors for #104 LN metastasis were determined by multivariable logistic regression. The frequency of #104 LN metastasis was 11.6% overall, 31.7% in upper and 8.3% in middle/lower third lesion. Neoadjuvant chemotherapy was administered to 71% of patients and chemo-radiation to 11%. The 5-year overall survival was 45.8%. The EI for #104 LNs (5.3) was similar to that for #101 LNs. Risk factors were age < 65 years, upper third lesion, clinical N2–3, #101/106rec LN metastasis and poorly differentiated carcinoma. The 5-year overall survival of patients with middle/lower lesions was 38% (EI 3.1), similar to that for #101 and #8/9/11 LNs. The prognosis of patients with #104 LN metastases is similar to that of patients with metastases in other regional LN stations. Therefore, we recommend 3FL exclusively for patients at a high risk of #104 LN metastasis due to the overall metastatic rate not being high. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Two structurally different oomycete lipophilic microbe-associated molecular patterns induce distinctive plant immune responses.

Author

Monjil, Mohammad Shahjahan, Kato, Hiroaki, Ota, Satomi, Matsuda, Kentaro, Suzuki, Natsumi, Tenhiro, Shiho, Tatsumi, Ayane, Pring, Sreynich, Miura, Atsushi, Camagna, Maurizio, Suzuki, Takamasa, Tanaka, Aiko, Terauchi, Ryohei, Sato, Ikuo, Chiba, Sotaro, Kawakita, Kazuhito, Ojika, Makoto, and Takemoto, Daigo

Abstract

Plants recognize a variety of external signals and induce appropriate mechanisms to increase their tolerance to biotic and abiotic stresses. Precise recognition of attacking pathogens and induction of effective resistance mechanisms are critical functions for plant survival. Some molecular patterns unique to a certain group of microbes, microbe-associated molecular patterns (MAMPs), are sensed by plant cells as nonself molecules via pattern recognition receptors. While MAMPs of bacterial and fungal origin have been identified, reports on oomycete MAMPs are relatively limited. This study aimed to identify MAMPs from an oomycete pathogen Phytophthora infestans, the causal agent of potato late blight. Using reactive oxygen species (ROS) production and phytoalexin production in potato (Solanum tuberosum) as markers, two structurally different groups of elicitors, namely ceramides and diacylglycerols, were identified. P. infestans ceramides (Pi-Cer A, B, and D) induced ROS production, while diacylglycerol (Pi-DAG A and B), containing eicosapentaenoic acid (EPA) as a substructure, induced phytoalexins production in potato. The molecular patterns in Pi-Cers and Pi-DAGs essential for defense induction were identified as 9-methyl-4,8-sphingadienine (9Me-Spd) and 5,8,11,14-tetraene-type fatty acid (5,8,11,14-TEFA), respectively. These structures are not found in plants, but in oomycetes and fungi, indicating that they are microbe molecular patterns recognized by plants. When Arabidopsis (Arabidopsis thaliana) was treated with Pi-Cer D and EPA, partially overlapping but different sets of genes were induced. Furthermore, expression of some genes is upregulated only after the simultaneous treatment with Pi-Cer D and EPA, indicating that plants combine the signals from simultaneously recognized MAMPs to adapt their defense response to pathogens. Two lipophilic microbe-associated molecular patterns from Phytophthora infestans, ceramides and diacylglycerols, contain microbe-specific structures and induce distinctive plant immune responses. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Comprehensive molecular profiling of pulmonary pleomorphic carcinoma

Author

Nagano, Masaaki, Kohsaka, Shinji, Hayashi, Takuo, Ueno, Toshihide, Kojima, Shinya, Shinozaki-Ushiku, Aya, Morita, Shigeki, Tsuda, Masumi, Tanaka, Shinya, Shinohara, Toshiya, Omori, Yuko, Sugaya, Fumiko, Kato, Hiroaki, Narita, Yoshiaki, Nakajima, Jun, Suzuki, Kenji, Takamochi, Kazuya, and Mano, Hiroyuki

Published
2021
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49. Generation and characterization of antagonistic anti-human interleukin (IL)-18 monoclonal antibodies with high affinity: Two types of monoclonal antibodies against full-length IL-18 and the neoepitope of inflammatory caspase-cleaved active IL-18

Author

Nariai, Yuko, Kamino, Hiroki, Obayashi, Eiji, Kato, Hiroaki, Sakashita, Gyosuke, Sugiura, Tomoko, Migita, Kiyoshi, Koga, Tomohiro, Kawakami, Atsushi, Sakamoto, Kazuma, Kadomatsu, Kenji, Nakakido, Makoto, Tsumoto, Kouhei, and Urano, Takeshi

Published
2019
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50. Phase II Adjuvant Cancer-specific Vaccine Therapy for Esophageal Cancer Patients Curatively Resected After Preoperative Therapy With Pathologically Positive Nodes; Possible Significance of Tumor Immune Microenvironment in its Clinical Effects

Author

Yasuda, Takushi, Nishiki, Kohei, Hiraki, Yoko, Kato, Hiroaki, Iwama, Mitsuru, Shiraishi, Osamu, Yasuda, Atsushi, Shinkai, Masayuki, Kimura, Yutaka, Sukegawa, Yasushi, Chiba, Yasutaka, Imano, Motohiro, Takeda, Kazuyoshi, Satou, Takao, Shiozaki, Hitoshi, and Nakamura, Yusuke

Published
2022
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