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1. End-to-End Trainable Soft Retriever for Low-resource Relation Extraction

Author

Makino, Kohei, Miwa, Makoto, and Sasaki, Yutaka

Subjects
Computer Science - Computation and Language
Abstract

This study addresses a crucial challenge in instance-based relation extraction using text generation models: end-to-end training in target relation extraction task is not applicable to retrievers due to the non-differentiable nature of instance selection. We propose a novel End-to-end TRAinable Soft K-nearest neighbor retriever (ETRASK) by the neural prompting method that utilizes a soft, differentiable selection of the $k$ nearest instances. This approach enables the end-to-end training of retrievers in target tasks. On the TACRED benchmark dataset with a low-resource setting where the training data was reduced to 10\%, our method achieved a state-of-the-art F1 score of 71.5\%. Moreover, ETRASK consistently improved the baseline model by adding instances for all settings. These results highlight the efficacy of our approach in enhancing relation extraction performance, especially in resource-constrained environments. Our findings offer a promising direction for future research with extraction and the broader application of text generation in natural language processing., Comment: preprint

Published
2024

3. Carbon monoxide-loaded red blood cells ameliorate metabolic dysfunction-associated steatohepatitis progression via enhancing AMP-activated protein kinase activity and inhibiting Kupffer cell activation

Author

Yanagisawa, Hiroki, Maeda, Hitoshi, Noguchi, Isamu, Tanaka, Motohiko, Wada, Naoki, Nagasaki, Taisei, Kobayashi, Kazuki, Kanazawa, Gai, Taguchi, Kazuaki, Chuang, Victor Tuan Giam, Sakai, Hiromi, Nakashima, Hiroyuki, Kinoshita, Manabu, Kitagishi, Hiroaki, Iwakiri, Yasuko, Sasaki, Yutaka, Tanaka, Yasuhito, Otagiri, Masaki, Watanabe, Hiroshi, and Maruyama, Toru

Published
2024
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4. Physical Context and Timing Aware Sequence Generating GANs

Author

Futase, Hayato, Tsujimura, Tomoki, Kajimoto, Tetsuya, Kawarazaki, Hajime, Suzuki, Toshiyuki, Miwa, Makoto, and Sasaki, Yutaka

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Generative Adversarial Networks (GANs) have shown remarkable successes in generating realistic images and interpolating changes between images. Existing models, however, do not take into account physical contexts behind images in generating the images, which may cause unrealistic changes. Furthermore, it is difficult to generate the changes at a specific timing and they often do not match with actual changes. This paper proposes a novel GAN, named Physical Context and Timing aware sequence generating GANs (PCTGAN), that generates an image in a sequence at a specific timing between two images with considering physical contexts behind them. Our method consists of three components: an encoder, a generator, and a discriminator. The encoder estimates latent vectors from the beginning and ending images, their timings, and a target timing. The generator generates images and the physical contexts at the beginning, ending, and target timing from the corresponding latent vectors. The discriminator discriminates whether the generated images and contexts are real or not. In the experiments, PCTGAN is applied to a data set of sequential changes of shapes in die forging processes. We show that both timing and physical contexts are effective in generating sequential images.

Published
2021

5. Four-year overall survival update from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma

Author

Azevedo, Sergio, Braghiroli, Maria Ignez, Girotto, Gustavo, Bragagnoli, Arinilda, Branco, Ricardo, Faccio, Adilson, Moretto, Andrea, Skare, Nils, Dutra, Jamille, Viola, Luciana, Vianna, Karina, Meton, Fernando, Sette, Claudia, Faulhaber, Amanda, Tam, Vincent C., Couture, Felix, Biagi, Jim, Castel, Helene, Mulder, Karen, Ko, Yoo-Joung, Zbuk, Kevin, Welch, Stephen, Beaudoin, Annie, Heurgué, Alexandra, Assenat, Eric, Archambeaud, Isabelle, Tougeron, David, Peron, Jean-Marie, Gilabert, Marine, Bronowicki, Jean-Pierre, Cattan, Stephane, Blanc, Jean-Frederic, Bouattour, Mohamed, Phelip, Jean-Marc, Boige, Valerie, Michel, Pierre, Frin, Anne-Claire, De Toni, Enrico N., Berres, Marie-Luise, Vogel, Arndt, Berg, Thomas, Ettrich, Thomas, Waldschmidt, Dirk, Wedemeyer, Hans Heinrich, Worns, Marcus-Alexander, Bitzer, Michael, Weiss, Karl-Heinz, Lau, George, Chan, Stephen L., Yau, Thomas, Tai, Yin Ping, Lee, Ann Shing, Thungappa, Satheesh Chiradoni, N, Lokesh K., Sureshchand Ostwal, Vikas, Ashok, Kattimani Kiran, Mittal, Sushant, Goyal, Hari, Srinivasan, Sankar, Biswas, Ghanashyam, Mohan, Mallavarapu, Limaye, Sewanti, Asarawala, Nirav, Rimassa, Lorenza, Falcone, Alfredo, Gianni, Luca, Gasbarrini, Antonio, Daniele, Bruno, Avallone, Antonio, Paolo Frassineti, Giovanni Luca, Roila, Fausto, Kudo, Masatoshi, Kawaoka, Tomokazu, Morimoto, Manabu, Takikawa, Yasuhiro, Kato, Naoya, Yamashita, Tatsuya, Osaki, Yukio, Motomura, Kenta, Tateishi, Ryosuke, Ohkawa, Kazuyoshi, Wada, Yoshiyuki, Onishi, Hideki, Sasahira, Naoki, Inaba, Yoshitaka, Kurosaki, Masayuki, Tsuji, Kunihiko, Takei, Yoshiyuki, Aramaki, Takeshi, Hagihara, Atsushi, Furuse, Junji, Kioka, Kiyohide, Koga, Hironori, Sasaki, Yutaka, Numata, Kazushi, Tada, Toshifumi, Kawaguchi, Yasunori, Nadano, Seijin, Vasilyev, Alexander, Breder, Valery, Lipatov, Oleg, Dvorkin, Mikhail, Zarubenkov, Oleg, Kutukova, Svetlana, Ponomarev, Roman, Shostka, Kirill, Alyasova, Anna, Topuzov, Eldar, Severtsev, Alexey, Petrov, Yuryi, Erygin, Dmitriy, Berdov, Boris, Kang, Yoon-Koo, Tak, Won-Young, Park, Joong-Won, Lim, Ho Yeong, Heo, Jeong, Kim, Jee Hyun, Kim, Tae-You, Choi, Hye Jin, Varela, María, Reig Monzon, María Elisa, Sangro, Bruno, Martin, Carlos Gómez, Ponce, Carmen Guillén, López, Carlos, Cheng, Ann-Lii, Chao, Yee, Feng, Yin-Hsun, Jeng, Long-Bin, Hung, Chao-Hung, Hou, Ming-Mo, Wang Tsang-En Wang, Jing-Houng, Yen, Chia-Jui, Sukeepaisarnjaroen, Wattana, Sunpaweravong, Patrapim, Charoentum, Chaiyut, Tanasanvimon, Suebpong, Sirachainan, Ekaphop, Ungtrakul, Teerapat, Prasongsook, Naiyarat, Maneenil, Kunlatida, Jitpewngarm, Wittawat, Ostapenko, Yurii, Skoryi, Denys, Bondarenko, Igor, Shparyk, Yaroslav, Trukhin, Dmytro, Hotko, Yevhen, Ursol, Grygorii, Kryzhanivska, Anna, Abou-Alfa, Ghassan K., Mody, Kabir, Dayyani, Farshid, Al-Rajabi, Raed, Yarchoan, Mark, Gandhi, Sunil, Crysler, Oxana, He, Aiwu Ruth, Reeves, James, Bahary, Nathan, Mahipal, Amit, Kelley, Robin Kate, Dasgupta, Anirudha, Rowe, Julie, Thota, Ramya, Beg, Muhammad, Morse, Michael, Choi, Sung-hee, Crocenzi, Todd, Somer, Bradley, Abrams, Thomas, Denlinger, Crystal, Zhang, Yue, Sharma, Nisha, Dao, Tu V., Thinh, Nguyen Tien, Tuyet Phuong, Le Thi, Sangro, B., Chan, S.L., Kelley, R.K., Lau, G., Kudo, M., Sukeepaisarnjaroen, W., Yarchoan, M., De Toni, E.N., Furuse, J., Kang, Y.K., Galle, P.R., Rimassa, L., Heurgué, A., Tam, V.C., Van Dao, T., Thungappa, S.C., Breder, V., Ostapenko, Y., Reig, M., Makowsky, M., Paskow, M.J., Gupta, C., Kurland, J.F., Negro, A., and Abou-Alfa, G.K.

Published
2024
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6. A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

Author

Makino, Kohei, Miwa, Makoto, and Sasaki, Yutaka

Subjects
Computer Science - Computation and Language
Abstract

In this paper, we propose a novel edge-editing approach to extract relation information from a document. We treat the relations in a document as a relation graph among entities in this approach. The relation graph is iteratively constructed by editing edges of an initial graph, which might be a graph extracted by another system or an empty graph. The way to edit edges is to classify them in a close-first manner using the document and temporally-constructed graph information; each edge is represented with a document context information by a pretrained transformer model and a graph context information by a graph convolutional neural network model. We evaluate our approach on the task to extract material synthesis procedures from materials science texts. The experimental results show the effectiveness of our approach in editing the graphs initialized by our in-house rule-based system and empty graphs., Comment: Accepted for publication at the Findings of the Association for Computational Linguistics (Findings-ACL2021), 2021. 10 pages, 6 figures, 8 tables

Published
2021

7. Distributed Agent-Based Voltage Control Approach for Active Distribution Systems

Author

Bedawy, Ahmed, Yorino, Naoto, Sasaki, Yutaka, Zoka, Yoshifumi, Mumbere, Kihembo Samuel, Kubo, Ryuta, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Giri, Chandan, editor, Iizuka, Takahiro, editor, Rahaman, Hafizur, editor, and Bhattacharya, Bhargab B., editor

Published
2023
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13. TOP-288 Serum GDF15 level, in combination with the FIB-4 index, is useful for refining the identification of high-risk patients for clinical event occurrence in MASLD patients

Author

Hikita, Hayato, primary, Kumazaki, Shunsuke, additional, Tahata, Yuki, additional, Sung, Ji Hyun, additional, Fukumoto, Kenji, additional, Myojin, Yuta, additional, Sakane, Sadatsugu, additional, Murai, Kazuhiro, additional, Sasaki, Yoichi, additional, Shirai, Kumiko, additional, Kodama, Takahiro, additional, kakita, naruyasu, additional, Takahashi, Hirokazu, additional, Toyoda, Hidenori, additional, Suda, Goki, additional, Morii, Eiichi, additional, Kojima, Takashi, additional, Ebihara, Takeshi, additional, Shimizu, Kentaro, additional, Sasaki, Yutaka, additional, Tatsumi, Tomohide, additional, and Takehara, Tetsuo, additional

Published
2024
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14. The serum tenascin C level is a marker of metabolic disorder-related inflammation affecting pancreatic cancer prognosis

Author

Sato, Katsuhiko, primary, Hikita, Hayato, additional, Shigekawa, Minoru, additional, Soma, Kazumasa, additional, Yamauchi, Ryohei, additional, Sung, Jihyun, additional, Kato, Seiya, additional, Sasaki, Yoichi, additional, Kudo, Shinnosuke, additional, Fukumoto, Kenji, additional, Shirai, Kumiko, additional, Murai, Kazuhiro, additional, Tahata, Yuki, additional, Yoshioka, Teppei, additional, Nishio, Akira, additional, Saito, Yoshinobu, additional, Kodama, Takahiro, additional, Sasaki, Yutaka, additional, Tatsumi, Tomohide, additional, and Takehara, Tetsuo, additional

Published
2024
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16. Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information

Author

Asada, Masaki, Miwa, Makoto, and Sasaki, Yutaka

Subjects
Computer Science - Computation and Language
Abstract

We propose a novel neural method to extract drug-drug interactions (DDIs) from texts using external drug molecular structure information. We encode textual drug pairs with convolutional neural networks and their molecular pairs with graph convolutional networks (GCNs), and then we concatenate the outputs of these two networks. In the experiments, we show that GCNs can predict DDIs from the molecular structures of drugs in high accuracy and the molecular information can enhance text-based DDI extraction by 2.39 percent points in the F-score on the DDIExtraction 2013 shared task data set., Comment: accepted as a short paper at ACL2018

Published
2018

22. Nitric oxide facilitates the targeting Kupffer cells of a nano-antioxidant for the treatment of NASH

Author

Maeda, Hitoshi, Ishima, Yu, Saruwatari, Junji, Mizuta, Yuki, Minayoshi, Yuki, Ichimizu, Shota, Yanagisawa, Hiroki, Nagasaki, Taisei, Yasuda, Kengo, Oshiro, Shun, Taura, Manabu, McConnell, Matthew J., Oniki, Kentaro, Sonoda, Kayoko, Wakayama, Tomohiko, Kinoshita, Manabu, Shuto, Tsuyoshi, Kai, Hirofumi, Tanaka, Motohiko, Sasaki, Yutaka, Iwakiri, Yasuko, Otagiri, Masaki, Watanabe, Hiroshi, and Maruyama, Toru

Published
2022
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23. Bib2vec: An Embedding-based Search System for Bibliographic Information

Author

Yoneda, Takuma, Mori, Koki, Miwa, Makoto, and Sasaki, Yutaka

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility. Based on this model, we present a novel search system that shows the relationships among the elements in the ACL Anthology Reference Corpus. The evaluation results show that our model can achieve a high prediction ability and produce reasonable search results., Comment: EACL2017 extended version. The demonstration is available at http://tti-coin.jp/demo/bib2vec/

Published
2017

24. Serum MYCN as a predictive biomarker of prognosis and therapeutic response in the prevention of hepatocellular carcinoma recurrence

Author

Qin, Xian‐Yang, primary, Shirakami, Yohei, additional, Honda, Masao, additional, Yeh, Shiou‐Hwei, additional, Numata, Kazushi, additional, Lai, Ya‐Yun, additional, Li, Chiao‐Ling, additional, Wei, Feifei, additional, Xu, Yali, additional, Imai, Kenji, additional, Takai, Koji, additional, Chuma, Makoto, additional, Komatsu, Nagisa, additional, Furutani, Yutaka, additional, Gailhouste, Luc, additional, Aikata, Hiroshi, additional, Chayama, Kazuaki, additional, Enomoto, Masaru, additional, Tateishi, Ryosuke, additional, Kawaguchi, Kazunori, additional, Yamashita, Tatsuya, additional, Kaneko, Shuichi, additional, Nagaoka, Katsuya, additional, Tanaka, Motohiko, additional, Sasaki, Yutaka, additional, Tanaka, Yasuhito, additional, Baba, Hideo, additional, Miura, Kouichi, additional, Ochi, Sae, additional, Masaki, Takahiro, additional, Kojima, Soichi, additional, Matsuura, Tomokazu, additional, Shimizu, Masahito, additional, Chen, Pei‐Jer, additional, Moriwaki, Hisataka, additional, and Suzuki, Harukazu, additional

Published
2024
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26. Four-year overall survival update from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma

Author

Sangro, B., primary, Chan, S.L., additional, Kelley, R.K., additional, Lau, G., additional, Kudo, M., additional, Sukeepaisarnjaroen, W., additional, Yarchoan, M., additional, De Toni, E.N., additional, Furuse, J., additional, Kang, Y.K., additional, Galle, P.R., additional, Rimassa, L., additional, Heurgué, A., additional, Tam, V.C., additional, Van Dao, T., additional, Thungappa, S.C., additional, Breder, V., additional, Ostapenko, Y., additional, Reig, M., additional, Makowsky, M., additional, Paskow, M.J., additional, Gupta, C., additional, Kurland, J.F., additional, Negro, A., additional, Abou-Alfa, G.K., additional, Azevedo, Sergio, additional, Braghiroli, Maria Ignez, additional, Girotto, Gustavo, additional, Bragagnoli, Arinilda, additional, Branco, Ricardo, additional, Faccio, Adilson, additional, Moretto, Andrea, additional, Skare, Nils, additional, Dutra, Jamille, additional, Viola, Luciana, additional, Vianna, Karina, additional, Meton, Fernando, additional, Sette, Claudia, additional, Faulhaber, Amanda, additional, Tam, Vincent C., additional, Couture, Felix, additional, Biagi, Jim, additional, Castel, Helene, additional, Mulder, Karen, additional, Ko, Yoo-Joung, additional, Zbuk, Kevin, additional, Welch, Stephen, additional, Beaudoin, Annie, additional, Heurgué, Alexandra, additional, Assenat, Eric, additional, Archambeaud, Isabelle, additional, Tougeron, David, additional, Peron, Jean-Marie, additional, Gilabert, Marine, additional, Bronowicki, Jean-Pierre, additional, Cattan, Stephane, additional, Blanc, Jean-Frederic, additional, Bouattour, Mohamed, additional, Phelip, Jean-Marc, additional, Boige, Valerie, additional, Michel, Pierre, additional, Frin, Anne-Claire, additional, Enrico N De Toni, Germany, additional, Berres, Marie-Luise, additional, Vogel, Arndt, additional, Berg, Thomas, additional, Ettrich, Thomas, additional, Waldschmidt, Dirk, additional, Wedemeyer, Hans Heinrich, additional, Worns, Marcus-Alexander, additional, Bitzer, Michael, additional, Weiss, Karl-Heinz, additional, Lau, George, additional, Chan, Stephen L., additional, Yau, Thomas, additional, Tai, Yin Ping, additional, Lee, Ann Shing, additional, Thungappa, Satheesh Chiradoni, additional, N, Lokesh K., additional, Ostwal, Vikas Sureshchand, additional, Ashok, Kattimani Kiran, additional, Mittal, Sushant, additional, Goyal, Hari, additional, Srinivasan, Sankar, additional, Biswas, Ghanashyam, additional, Mohan, Mallavarapu, additional, Limaye, Sewanti, additional, Asarawala, Nirav, additional, Rimassa, Lorenza, additional, Falcone, Alfredo, additional, Gianni, Luca, additional, Gasbarrini, Antonio, additional, Daniele, Bruno, additional, Avallone, Antonio, additional, Paolo Frassineti, Giovanni Luca, additional, Roila, Fausto, additional, Kudo, Masatoshi, additional, Kawaoka, Tomokazu, additional, Morimoto, Manabu, additional, Takikawa, Yasuhiro, additional, Kato, Naoya, additional, Yamashita, Tatsuya, additional, Osaki, Yukio, additional, Motomura, Kenta, additional, Tateishi, Ryosuke, additional, Ohkawa, Kazuyoshi, additional, Wada, Yoshiyuki, additional, Onishi, Hideki, additional, Sasahira, Naoki, additional, Inaba, Yoshitaka, additional, Kurosaki, Masayuki, additional, Tsuji, Kunihiko, additional, Takei, Yoshiyuki, additional, Aramaki, Takeshi, additional, Hagihara, Atsushi, additional, Furuse, Junji, additional, Kioka, Kiyohide, additional, Koga, Hironori, additional, Sasaki, Yutaka, additional, Numata, Kazushi, additional, Tada, Toshifumi, additional, Kawaguchi, Yasunori, additional, Nadano, Seijin, additional, Alexander Vasilyev, Russian Federation, additional, Breder, Valery, additional, Lipatov, Oleg, additional, Dvorkin, Mikhail, additional, Zarubenkov, Oleg, additional, Kutukova, Svetlana, additional, Ponomarev, Roman, additional, Shostka, Kirill, additional, Alyasova, Anna, additional, Topuzov, Eldar, additional, Severtsev, Alexey, additional, Petrov, Yuryi, additional, Erygin, Dmitriy, additional, Berdov, Boris, additional, Kang, Yoon-Koo, additional, Tak, Won-Young, additional, Park, Joong-Won, additional, Lim, Ho Yeong, additional, Heo, Jeong, additional, Kim, Jee Hyun, additional, Kim, Tae-You, additional, Choi, Hye Jin, additional, Varela, María, additional, Reig Monzon, María Elisa, additional, Sangro, Bruno, additional, Martin, Carlos Gómez, additional, Ponce, Carmen Guillén, additional, López, Carlos, additional, Cheng, Ann-Lii, additional, Chao, Yee, additional, Feng, Yin-Hsun, additional, Jeng, Long-Bin, additional, Hung, Chao-Hung, additional, Hou, Ming-Mo, additional, Wang Tsang-En Wang, Jing-Houng, additional, Yen, Chia-Jui, additional, Sukeepaisarnjaroen, Wattana, additional, Sunpaweravong, Patrapim, additional, Charoentum, Chaiyut, additional, Tanasanvimon, Suebpong, additional, Sirachainan, Ekaphop, additional, Ungtrakul, Teerapat, additional, Prasongsook, Naiyarat, additional, Maneenil, Kunlatida, additional, Jitpewngarm, Wittawat, additional, Ostapenko, Yurii, additional, Skoryi, Denys, additional, Bondarenko, Igor, additional, Shparyk, Yaroslav, additional, Trukhin, Dmytro, additional, Hotko, Yevhen, additional, Ursol, Grygorii, additional, Kryzhanivska, Anna, additional, Abou-Alfa, Ghassan K., additional, Mody, Kabir, additional, Dayyani, Farshid, additional, Al-Rajabi, Raed, additional, Yarchoan, Mark, additional, Gandhi, Sunil, additional, Crysler, Oxana, additional, He, Aiwu Ruth, additional, Reeves, James, additional, Bahary, Nathan, additional, Mahipal, Amit, additional, Kelley, Robin Kate, additional, Dasgupta, Anirudha, additional, Rowe, Julie, additional, Thota, Ramya, additional, Beg, Muhammad, additional, Morse, Michael, additional, Choi, Sung-hee, additional, Crocenzi, Todd, additional, Somer, Bradley, additional, Abrams, Thomas, additional, Denlinger, Crystal, additional, Zhang, Yue, additional, Sharma, Nisha, additional, Dao, Tu V., additional, Thinh, Nguyen Tien, additional, and Tuyet Phuong, Le Thi, additional

Published
2024
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29. Normalized Hierarchical SVM

Author

Choi, Heejin, Sasaki, Yutaka, and Srebro, Nathan

Subjects
Computer Science - Learning
Abstract

We present improved methods of using structured SVMs in a large-scale hierarchical classification problem, that is when labels are leaves, or sets of leaves, in a tree or a DAG. We examine the need to normalize both the regularization and the margin and show how doing so significantly improves performance, including allowing achieving state-of-the-art results where unnormalized structured SVMs do not perform better than flat models. We also describe a further extension of hierarchical SVMs that highlight the connection between hierarchical SVMs and matrix factorization models.

Published
2015

30. Randomized phase I/II study of vascular endothelial growth factor receptor peptide vaccines for patients with hepatocellular carcinoma.

Author

Yoshimaru, Yoko, Nagaoka, Katsuya, Tanaka, Kentaro, Narahara, Satoshi, Inada, Hiroki, Kurano, Sotaro, Tokunaga, Takayuki, Iio, Etsuko, Watanabe, Takehisa, Setoyama, Hiroko, Tateyama, Masakuni, Yoshida, Koji, Tsunoda, Takuya, Nakamura, Yusuke, Tanaka, Motohiko, Sasaki, Yutaka, and Tanaka, Yasuhito

Subjects
VASCULAR endothelial growth factor receptors, CHEMOEMBOLIZATION, PEPTIDE vaccines, HEPATOCELLULAR carcinoma, CYTOTOXIC T cells
Abstract

Aim: We evaluated the safety and efficacy of vascular endothelial growth factor receptor (VEGFR)‐targeted peptide vaccines for the immunization of patients with unresectable hepatocellular carcinoma (HCC) who had responded to transarterial chemoembolization. Methods: Twenty‐two patients were randomized 1:1 to receive VEGFR‐targeted peptides or placebo. The primary end‐point was the safety assessment of the immunization. The secondary end‐points were evaluation of immunological responses and clinical outcomes. Results: No severe adverse events were induced by the study agents. Among the 12 patients in the vaccine group, a VEGFR1‐specific cytotoxic T lymphocyte (CTL) response was induced in eight (66.7%) patients and a VEGFR2‐specific CTL response was induced in 10 (83.3%). The median progression‐free survival (PFS) and overall survival (OS) rates were 4.8 and 52.0 months, respectively, in the vaccine group, and 2.7 and 21.8 months, respectively, in the placebo group. No statistically significant differences were found between the two groups (PFS p = 0.925, OS p = 0.190). When divided into two groups according to immunoreactivity, the median PFS of patients with and without a strong immune response to VEGFR1 were 7.4 and 2.7 months, and that to VEGFR2 were 10.6 and 2.7 months, respectively; there were significant differences according to the immune response. Conclusions: Immunotherapy with peptide vaccines targeting VEGFR1 and VEGFR2 was well tolerated with no serious adverse events. It also effectively induced peptide‐specific CTLs in patients with unresectable HCC. [ABSTRACT FROM AUTHOR]

Published
2024
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37. A randomized phase I / II study of vascular endothelial growth factor receptor peptide vaccines for patients with hepatocellular carcinoma

Author

Yoshimaru, Yoko, primary, Nagaoka, Katsuya, additional, Tanaka, Kentaro, additional, Narahara, Satoshi, additional, Inada, Hiroki, additional, Kurano, Sotaro, additional, Tokunaga, Takayuki, additional, Iio, Estuko, additional, Watanabe, Takehisa, additional, Setoyama, Hiroko, additional, Tateyama, Masakuni, additional, Yoshida, Koji, additional, Tsunoda, Takuya, additional, Nakamura, Yusuke, additional, Tanaka, Motohiko, additional, Sasaki, Yutaka, additional, and Tanaka, Yasuhito, additional

Published
2023
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43. Simultaneous Measurement of Torsional Oscillator and NMR of Very Dilute 3He in Solid 4He

Author

Toda, Ryo, Gumann, Patryk, Kosaka, Kei, Kanemoto, Masatomo, Onoe, Wakana, and Sasaki, Yutaka

Subjects
Condensed Matter - Other Condensed Matter
Abstract

We have investigated the NMR properties of dilute 3He impurities in solid 4He contained in a torsional oscillator (TO) by the simultaneous measurement of the NMR and the torsional oscillator response of the so-called supersolid 4He. From measurements on samples with one hundred to a few hundred ppm of 3He, we have found three different states of 3He. The first is the homogeneously distributed isolated 3He atom in a solid matrix of 4He. The second is the 3He cluster in a homogeneous 4He matrix, which appears below the phase separation temperature of a solid mixture. The third is the 3He cluster in some nonuniform part of a 4He crystal. We find that 3He atoms contained in the third component remain in a nearby location even above the phase separation temperature. Based on the fact that even a ppm of 3He affects the supersolid response in a TO below and above the phase separation temperature, we propose that the nonuniform part of a crystal that holds the third type of 3He and thus has a higher local concentration of 3He plays an important role in the supersolid phenomenon in a TO., Comment: 5 pages, 5 figures, Accepted for publication in Physical Review B

Published
2010
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46. Sorafenib plus low-dose cisplatin and fluorouracil hepatic arterial infusion chemotherapy versus sorafenib alone in patients with advanced hepatocellular carcinoma (SILIUS): a randomised, open label, phase 3 trial

Author

Kudo, Masatoshi, Ueshima, Kazuomi, Yokosuka, Osamu, Ogasawara, Sadahisa, Obi, Shuntaro, Izumi, Namiki, Aikata, Hiroshi, Nagano, Hiroaki, Hatano, Etsuro, Sasaki, Yutaka, Hino, Keisuke, Kumada, Takashi, Yamamoto, Kazuhide, Imai, Yasuharu, Iwadou, Shouta, Ogawa, Chikara, Okusaka, Takuji, Kanai, Fumihiko, Akazawa, Kohei, Yoshimura, Ken-ichi, Johnson, Philip, and Arai, Yasuaki

Published
2018
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49. Direct-acting antiviral agents do not increase the incidence of hepatocellular carcinoma development: a prospective, multicenter study

Author

Ide, Tatsuya, Koga, Hironori, Nakano, Masahito, Hashimoto, Satoru, Yatsuhashi, Hiroshi, Higuchi, Nobito, Nakamuta, Makoto, Oeda, Satoshi, Eguchi, Yuichiro, Shakado, Satoshi, Sakisaka, Shotaro, Yoshimaru, Yoko, Sasaki, Yutaka, Honma, Yuichi, Harada, Masaru, Seike, Masataka, Maeshiro, Tatsuji, Miuma, Satoshi, Nakao, Kazuhiko, Mawatari, Seiichi, Ido, Akio, Nagata, Kenji, Matsumoto, Shuichi, Takami, Yuko, Sohda, Tetsuo, Kakuma, Tatsuyuki, and Torimura, Takuji

Published
2019
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50. A nationwide survey on non-B, non-C hepatocellular carcinoma in Japan: 2011–2015 update

Author

Tateishi, Ryosuke, Uchino, Koji, Fujiwara, Naoto, Takehara, Tetsuo, Okanoue, Takeshi, Seike, Masataka, Yoshiji, Hitoshi, Yatsuhashi, Hiroshi, Shimizu, Masahito, Torimura, Takuji, Moriyama, Mitsuhiko, Sakaida, Isao, Okada, Hiroyuki, Chiba, Tetsuhiro, Chuma, Makoto, Nakao, Kazuhiko, Isomoto, Hajime, Sasaki, Yutaka, Kaneko, Shuichi, Masaki, Tsutomu, Chayama, Kazuaki, and Koike, Kazuhiko

Published
2019
Full Text
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