Personnel Information

写真a

HASEGAWA Takanori


Job title

Associate Professor

Homepage URL

http://www.hase62.jp/

Field Introduction URL

統合解析分野HP

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Degree 【 display / non-display 】

  • Doctor of Informatics, Kyoto University

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Campus Career 【 display / non-display 】

  • 2020.04
    -
    2021.08
    Tokyo Medical and Dental University， M&D Data Science Center， Division of AI and Big Data Research， Department of Integrated Analytics， Junior Associate Professor
  • 2021.09
    -
    Now
    Tokyo Medical and Dental University， M&D Data Science Center， Division of AI and Big Data Research， Department of Integrated Analytics， Associate Professor
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External Career 【 display / non-display 】

  • 2015.02
    -
    2015.09
    , Assistant Professor
  • 2015.10
    -
    2020.03
    The University of Tokyo, The Institute of Medical Science, Health Intelligence Center, Assistant Professor
  • 2015.10
    -
    2020.03
    The University of Tokyo, The Institute of Medical Science, Health Intelligence Center, Assistant Professor
  • 2020.04
    -
    2021.08
    Tokyo Medical and Dental University, M&D Data Science Center Department of Integrated Analytics, Junior Associate Professor
  • 2021.09
    -
    Now
    Tokyo Medical and Dental University, M&D Data Science Center Department of Integrated Analytics, Associate Professor
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Research Areas 【 display / non-display 】

  • Statistical science

  • Genome biology

  • Life, health and medical informatics

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Research Theme 【 display / non-display 】

  • Large-scale cross-ancestry multi-omics study to elucidate the pathogenesis of COVID-19 severity and Long COVID, 2023.04 - 2026.03

  • Prediction of microbiome-disease association using time series human microbiome data, 2019.04 - 2022.03

  • Prediction of microbiome-disease association using time series human microbiome data, 2019.04 - 2022.03

  • Prediction of microbiome-disease association using time series human microbiome data, 2019.04 - 2022.03

  • Prediction of microbiome-disease association using time series human microbiome data, 2019.04 - 2022.03

  • Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome data, 2017.04 - 2019.03

  • Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome data, 2017.04 - 2019.03

  • Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome data, 2017.04 - 2019.03

  • Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome data, 2017.04 - 2019.03

  • Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome data, 2017.04 - 2019.03

  • Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and Prediction, 2015.08 - 2017.03

  • Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and Prediction, 2015.08 - 2017.03

  • Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and Prediction, 2015.08 - 2017.03

  • Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and Prediction, 2015.08 - 2017.03

  • Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and Prediction, 2015.08 - 2017.03

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Published Papers & Misc 【 display / non-display 】

  1. Qingbo S Wang, Ryuya Edahiro, Ho Namkoong, Takanori Hasegawa, Yuya Shirai, Kyuto Sonehara, , Atsushi Kumanogoh, Makoto Ishii, Ryuji Koike, Akinori Kimura, Seiya Imoto, Satoru Miyano, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga, Yukinori Okada. Estimating gene-level false discovery probability improves eQTL statistical fine-mapping precision. NAR Genom Bioinform. 2023.12; 5 (4): lqad090. ( PubMed, DOI )

  2. Kobayashi Y, Niida A, Nagayama S, Saeki K, Haeno H, Takahashi KK, Hayashi S, Ozato Y, Saito H, Hasegawa T, Nakamura H, Tobo T, Kitagawa A, Sato K, Shimizu D, Hirata H, Hisamatsu Y, Toshima T, Yonemura Y, Masuda T, Mizuno S, Kawazu M, Kohsaka S, Ueno T, Mano H, Ishihara S, Uemura M, Mori M, Doki Y, Eguchi H, Oshima M, Suzuki Y, Shibata T, Mimori K. Subclonal accumulation of immune escape mechanisms in microsatellite instability-high colorectal cancers. British journal of cancer. 2023.08; 129 (7): 1105-1118. ( PubMed, DOI )

  3. Latorre AAE, Nakamura K, Seino K, Hasegawa T. Vector Autoregression for Forecasting the Number of COVID-19 Cases and Analyzing Behavioral Indicators in the Philippines: Ecologic Time-Trend Study. JMIR formative research. 2023.06; 7 e46357. ( PubMed, DOI )

  4. Toshiki Sera, Norio Otani, Hideo Bannai, Takanori Hasegawa, Takehiro Umemura, Hideki Honda, Akio Kimura. The current status of emergency departments in secondary emergency medical institutions in Japan: a questionnaire survey. International Journal of Emergency Medicine. 2023.06; 16 (1): 40. ( PubMed, DOI )

  5. Ryuya Edahiro, Yuya Shirai, Yusuke Takeshima, Shuhei Sakakibara, Yuta Yamaguchi, Teruaki Murakami, Takayoshi Morita, Yasuhiro Kato, Yu-Chen Liu, Daisuke Motooka, Yoko Naito, Ayako Takuwa, Fuminori Sugihara, Kentaro Tanaka, James B Wing, Kyuto Sonehara, Yoshihiko Tomofuji, Qingbo S. Wang, Takanori Hasegawa, Japan COVID-19 Task Force, Ho Namkoong, Hiromu Tanaka, Ho Lee, Koichi Fukunaga, Haruhiko Hirata, Yoshito Takeda, Daisuke Okuzaki, Atsushi Kumanogoh, Yukinori Okada. Single-cell analyses and host genetics highlight the role of innate immune cells in COVID-19 severity. Nature Genetics. 2023.05; 55 (5): 753-767. ( PubMed, DOI )

  6. Kitagawa A, Osawa T, Noda M, Kobayashi Y, Aki S, Nakano Y, Saito T, Shimizu D, Komatsu H, Sugaya M, Takahashi J, Kosai K, Takao S, Motomura Y, Sato K, Hu Q, Fujii A, Wakiyama H, Tobo T, Uchida H, Sugimachi K, Shibata K, Utsunomiya T, Kobayashi S, Ishii H, Hasegawa T, Masuda T, Matsui Y, Niida A, Soga T, Suzuki Y, Miyano S, Aburatani H, Doki Y, Eguchi H, Mori M, Nakayama KI, Shimamura T, Shibata T, Mimori K. Convergent genomic diversity and novel BCAA metabolism in intrahepatic cholangiocarcinoma. British journal of cancer. 2023.04; 128 (12): 2206-2217. ( PubMed, DOI )

  7. Saiki Ryunosuke, Namkoong Ho, Edahiro Ryuya, Sonehara Kyuto, Wang Qingbo S., Hasegawa Takanori, Momozawa Yukihide, Makishima Hideki, Nannya Yasuhito, Kakiuchi Nobuyuki, Terao Chikashi, Shiraishi Yuichi, Chiba Kenichi, Tanaka Hiroko, Matsuda Koichi, Morisaki Takayuki, Murakami Yoshinori, Kamatani Yoichiro, Kubo Michiaki, Kimura Akinori, Imoto Seiya, Miyano Satoru, Kanai Takanori, Fukunaga Koich, Okada Yukinori, Ogawa Seishi. Detailed Analysis of the Impact of Clonal Hematopoiesis on the Risk of Severe COVID-19 Infection BLOOD. 2022.11; 140 (Supplement 1): 5747-5748. ( DOI )

  8. Butler-Laporte Guillaume, Povysil Gundula, Kosmicki Jack A., Cirulli Elizabeth T., Drivas Theodore, Furini Simone, Saad Chadi, Schmidt Axel, Olszewski Pawel, Korotko Urszula, Quinodoz Mathieu, Celik Elifnaz, Kundu Kousik, Walter Klaudia, Jung Junghyun, Stockwell Amy D., Sloofman Laura G., Jordan Daniel M., Thompson Ryan C., Del Valle Diane, Simons Nicole, Cheng Esther, Sebra Robert, Schadt Eric E., Kim-Schulze Seunghee, Gnjatic Sacha, Merad Miriam, Buxbaum Joseph D., Beckmann Noam D., Charney Alexander W., Przychodzen Bartlomiej, Chang Timothy, Pottinger Tess D., Shang Ning, Brand Fabian, Fava Francesca, Mari Francesca, Chwialkowska Karolina, Niemira Magdalena, Pula Szymon, Baillie J. Kenneth, Stuckey Alex, Salas Antonio, Bello Xabier, Pardo-Seco Jacobo, Gomez-Carballa Alberto, Rivero-Calle Irene, Martinon-Torres Federico, Ganna Andrea, Karczewski Konrad J., Veerapen Kumar, Bourgey Mathieu, Bourque Guillaume, Eveleigh Robert Jm, Forgetta Vincenzo, Morrison David, Langlais David, Lathrop Mark, Mooser Vincent, Nakanishi Tomoko, Frithiof Robert, Hultstrom Michael, Lipcsey Miklos, Marincevic-Zuniga Yanara, Nordlund Jessica, Barrett Kelly M. Schiabor, Lee William, Bolze Alexandre, White Simon, Riffle Stephen, Tanudjaja Francisco, Sandoval Efren, Neveux Iva, Dabe Shaun, Casadei Nicolas, Motameny Susanne, Alaamery Manal, Massadeh Salam, Aljawini Nora, Almutairi Mansour S., Arabi Yaseen M., Alqahtani Saleh A., Al Harthi Fawz S., Almutairi Amal, Alqubaishi Fatima, Alotaibi Sarah, Binowayn Albandari, Alsolm Ebtehal A., El Bardisy Hadeel, Fawzy Mohammad, Cai Fang, Soranzo Nicole, Butterworth Adam, Geschwind Daniel H., Arteaga Stephanie, Stephens Alexis, Butte Manish J., Boutros Paul C., Yamaguchi Takafumi N., Tao Shu, Eng Stefan, Sanders Timothy, Tung Paul J., Broudy Michael E., Pan Yu, Gonzalez Alfredo, Chavan Nikhil, Johnson Ruth, Pasaniuc Bogdan, Yaspan Brian, Smieszek Sandra, Rivolta Carlo, Bibert Stephanie, Bochud Pierre-Yves, Dabrowski Maciej, Zawadzki Pawel, Sypniewski Mateusz, Kaja Elzbieta, Chariyavilaskul Pajaree, Nilaratanakul Voraphoj, Hirankarn Nattiya, Shotelersuk Vorasuk, Pongpanich Monnat, Phokaew Chureerat, Chetruengchai Wanna, Tokunaga Katsushi, Sugiyama Masaya, Kawai Yosuke, Hasegawa Takanori, Naito Tatsuhiko, Namkoong Ho, Edahiro Ryuya, Kimura Akinori, Ogawa Seishi, Kanai Takanori, Fukunaga Koichi, Okada Yukinori, Imoto Seiya, Miyano Satoru, Mangul Serghei, Abedalthagafi Malak S., Zeberg Hugo, Grzymski Joseph J., Washington Nicole L., Ossowski Stephan, Ludwig Kerstin U., Schulte Eva C., Riess Olaf, Moniuszko Marcin, Kwasniewski Miroslaw, Mbarek Hamdi, Ismail Said I., Verma Anurag, Goldstein David B., Kiryluk Krzysztof, Renieri Alessandra, Ferreira Manuel A. R., Richards J. Brent. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative PLOS GENETICS. 2022.11; 18 (11): e1010367. ( PubMed, DOI )

  9. Ho Namkoong, Ryuya Edahiro, Tomomi Takano, Hiroshi Nishihara, Yuya Shirai, Kyuto Sonehara, Hiromu Tanaka, Shuhei Azekawa, Yohei Mikami, Ho Lee, Takanori Hasegawa, Koji Okudela, Daisuke Okuzaki, Daisuke Motooka, Masahiro Kanai, Tatsuhiko Naito, Kenichi Yamamoto, Qingbo S Wang, Ryunosuke Saiki, Rino Ishihara, Yuta Matsubara, Junko Hamamoto, Hiroyuki Hayashi, Yukihiro Yoshimura, Natsuo Tachikawa, Emmy Yanagita, Takayoshi Hyugaji, Eigo Shimizu, Kotoe Katayama, Yasuhiro Kato, Takayoshi Morita, Kazuhisa Takahashi, Norihiro Harada, Toshio Naito, Makoto Hiki, Yasushi Matsushita, Haruhi Takagi, Ryousuke Aoki, Ai Nakamura, Sonoko Harada, Hitoshi Sasano, Hiroki Kabata, Katsunori Masaki, Hirofumi Kamata, Shinnosuke Ikemura, Shotaro Chubachi, Satoshi Okamori, Hideki Terai, Atsuho Morita, Takanori Asakura, Junichi Sasaki, Hiroshi Morisaki, Yoshifumi Uwamino, Kosaku Nanki, Sho Uchida, Shunsuke Uno, Tomoyasu Nishimura, Takashi Ishiguro, Taisuke Isono, Shun Shibata, Yuma Matsui, Chiaki Hosoda, Kenji Takano, Takashi Nishida, Yoichi Kobayashi, Yotaro Takaku, Noboru Takayanagi, Soichiro Ueda, Ai Tada, Masayoshi Miyawaki, Masaomi Yamamoto, Eriko Yoshida, Reina Hayashi, Tomoki Nagasaka, Sawako Arai, Yutaro Kaneko, Kana Sasaki, Etsuko Tagaya, Masatoshi Kawana, Ken Arimura, Kunihiko Takahashi, Tatsuhiko Anzai, Satoshi Ito, Akifumi Endo, Yuji Uchimura, Yasunari Miyazaki, Takayuki Honda, Tomoya Tateishi, Shuji Tohda, Naoya Ichimura, Kazunari Sonobe, Chihiro Tani Sassa, Jun Nakajima, Yasushi Nakano, Yukiko Nakajima, Ryusuke Anan, Ryosuke Arai, Yuko Kurihara, Yuko Harada, Kazumi Nishio, Tetsuya Ueda, Masanori Azuma, Ryuichi Saito, Toshikatsu Sado, Yoshimune Miyazaki, Ryuichi Sato, Yuki Haruta, Tadao Nagasaki, Yoshinori Yasui, Yoshinori Hasegawa, Yoshikazu Mutoh, Tomoki Kimura, Tomonori Sato, Reoto Takei, Satoshi Hagimoto, Yoichiro Noguchi, Yasuhiko Yamano, Hajime Sasano, Sho Ota, Yasushi Nakamori, Kazuhisa Yoshiya, Fukuki Saito, Tomoyuki Yoshihara, Daiki Wada, Hiromu Iwamura, Syuji Kanayama, Shuhei Maruyama, Takashi Yoshiyama, Ken Ohta, Hiroyuki Kokuto, Hideo Ogata, Yoshiaki Tanaka, Kenichi Arakawa, Masafumi Shimoda, Takeshi Osawa, Hiroki Tateno, Isano Hase, Shuichi Yoshida, Shoji Suzuki, Miki Kawada, Hirohisa Horinouchi, Fumitake Saito, Keiko Mitamura, Masao Hagihara, Junichi Ochi, Tomoyuki Uchida, Rie Baba, Daisuke Arai, Takayuki Ogura, Hidenori Takahashi, Shigehiro Hagiwara, Genta Nagao, Shunichiro Konishi, Ichiro Nakachi, Koji Murakami, Mitsuhiro Yamada, Hisatoshi Sugiura, Hirohito Sano, Shuichiro Matsumoto, Nozomu Kimura, Yoshinao Ono, Hiroaki Baba, Yusuke Suzuki, Sohei Nakayama, Keita Masuzawa, Shinichi Namba, Ken Suzuki, Yoko Naito, Yu-Chen Liu, Ayako Takuwa, Fuminori Sugihara, James B Wing, Shuhei Sakakibara, Nobuyuki Hizawa, Takayuki Shiroyama, Satoru Miyawaki, Yusuke Kawamura, Akiyoshi Nakayama, Hirotaka Matsuo, Yuichi Maeda, Takuro Nii, Yoshimi Noda, Takayuki Niitsu, Yuichi Adachi, Takatoshi Enomoto, Saori Amiya, Reina Hara, Yuta Yamaguchi, et al.. DOCK2 is involved in the host genetics and biology of severe COVID-19. Nature. 2022.09; 609 (7928): 754-760. ( PubMed, DOI )

  10. Qingbo S Wang, Ryuya Edahiro, Ho Namkoong, Takanori Hasegawa, Yuya Shirai, Kyuto Sonehara, Hiromu Tanaka, Ho Lee, Ryunosuke Saiki, Takayoshi Hyugaji, Eigo Shimizu, Kotoe Katayama, Masahiro Kanai, Tatsuhiko Naito, Noah Sasa, Kenichi Yamamoto, Yasuhiro Kato, Takayoshi Morita, Kazuhisa Takahashi, Norihiro Harada, Toshio Naito, Makoto Hiki, Yasushi Matsushita, Haruhi Takagi, Masako Ichikawa, Ai Nakamura, Sonoko Harada, Yuuki Sandhu, Hiroki Kabata, Katsunori Masaki, Hirofumi Kamata, Shinnosuke Ikemura, Shotaro Chubachi, Satoshi Okamori, Hideki Terai, Atsuho Morita, Takanori Asakura, Junichi Sasaki, Hiroshi Morisaki, Yoshifumi Uwamino, Kosaku Nanki, Sho Uchida, Shunsuke Uno, Tomoyasu Nishimura, Takashri Ishiguro, Taisuke Isono, Shun Shibata, Yuma Matsui, Chiaki Hosoda, Kenji Takano, Takashi Nishida, Yoichi Kobayashi, Yotaro Takaku, Noboru Takayanagi, Soichiro Ueda, Ai Tada, Masayoshi Miyawaki, Masaomi Yamamoto, Eriko Yoshida, Reina Hayashi, Tomoki Nagasaka, Sawako Arai, Yutaro Kaneko, Kana Sasaki, Etsuko Tagaya, Masatoshi Kawana, Ken Arimura, Kunihiko Takahashi, Tatsuhiko Anzai, Satoshi Ito, Akifumi Endo, Yuji Uchimura, Yasunari Miyazaki, Takayuki Honda, Tomoya Tateishi, Shuji Tohda, Naoya Ichimura, Kazunari Sonobe, Chihiro Tani Sassa, Jun Nakajima, Yasushi Nakano, Yukiko Nakajima, Ryusuke Anan, Ryosuke Arai, Yuko Kurihara, Yuko Harada, Kazumi Nishio, Tetsuya Ueda, Masanori Azuma, Ryuichi Saito, Toshikatsu Sado, Yoshimune Miyazaki, Ryuichi Sato, Yuki Haruta, Tadao Nagasaki, Yoshinori Yasui, Yoshinori Hasegawa, Yoshikazu Mutoh, Tomoki Kimura, Tomonori Sato, Reoto Takei, Satoshi Hagimoto, Yoichiro Noguchi, Yasuhiko Yamano, Hajime Sasano, Sho Ota, Yasushi Nakamori, Kazuhisa Yoshiya, Fukuki Saito, Tomoyuki Yoshihara, Daiki Wada, Hiromu Iwamura, Syuji Kanayama, Shuhei Maruyama, Takashi Yoshiyama, Ken Ohta, Hiroyuki Kokuto, Hideo Ogata, Yoshiaki Tanaka, Kenichi Arakawa, Masafumi Shimoda, Takeshi Osawa, Hiroki Tateno, Isano Hase, Shuichi Yoshida, Shoji Suzuki, Miki Kawada, Hirohisa Horinouchi, Fumitake Saito, Keiko Mitamura, Masao Hagihara, Junichi Ochi, Tomoyuki Uchida, Rie Baba, Daisuke Arai, Takayuki Ogura, Hidenori Takahashi, Shigehiro Hagiwara, Genta Nagao, Shunichiro Konishi, Ichiro Nakachi, Koji Murakami, Mitsuhiro Yamada, Hisatoshi Sugiura, Hirohito Sano, Shuichiro Matsumoto, Nozomu Kimura, Yoshinao Ono, Hiroaki Baba, Yusuke Suzuki, Sohei Nakayama, Keita Masuzawa, Shinichi Namba, Takayuki Shiroyama, Yoshimi Noda, Takayuki Niitsu, Yuichi Adachi, Takatoshi Enomoto, Saori Amiya, Reina Hara, Yuta Yamaguchi, Teruaki Murakami, Tomoki Kuge, Kinnosuke Matsumoto, Yuji Yamamoto, Makoto Yamamoto, Midori Yoneda, Kazunori Tomono, Kazuto Kato, Haruhiko Hirata, Yoshito Takeda, Hidefumi Koh, Tadashi Manabe, Yohei Funatsu, Fumimaro Ito, et al.. The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force. Nature Communications. 2022.08; 13 (1): 4830. ( PubMed, DOI )

  11. Hasegawa T, Kakuta M, Yamaguchi R, Sato N, Mikami T, Murashita K, Nakaji S, Itoh K, Imoto S. Impact of salivary and pancreatic amylase gene copy numbers on diabetes, obesity, and functional profiles of microbiome in Northern Japanese population. Scientific reports. 2022.05; 12 (1): 7628. ( PubMed, DOI )

  12. Hasegawa Takanori, Yamaguchi Rui, Kakuta Masanori, Ando Masataka, Songee Jung, Tokuda Itoyo, Murashita Koichi, Imoto Seiya. Application of state-space model with skew-t measurement noise to blood test value prediction APPLIED MATHEMATICAL MODELLING. 2021.12; 100 365-378. ( DOI )

  13. COVID-19 Host Genetics Initiative. Mapping the human genetic architecture of COVID-19. Nature. 2021.12; 600 (7889): 472-477. ( PubMed, DOI )

  14. Hirata H, Niida A, Kakiuchi N, Uchi R, Sugimachi K, Masuda T, Saito T, Kageyama SI, Motomura Y, Ito S, Yoshitake T, Tsurumaru D, Nishimuta Y, Yokoyama A, Hasegawa T, Chiba K, Shiraishi Y, Du J, Miura F, Morita M, Toh Y, Hirakawa M, Shioyama Y, Ito T, Akimoto T, Miyano S, Shibata T, Mori M, Suzuki Y, Ogawa S, Ishigami K, Mimori K. The Evolving Genomic Landscape of Esophageal Squamous Cell Carcinoma Under Chemoradiotherapy. Cancer research. 2021.10; 81 (19): 4926-4938. ( PubMed, DOI )

  15. Mizuno S, Yamaguchi R, Hasegawa T, Hayashi S, Fujita M, Zhang F, Koh Y, Lee SY, Yoon SS, Shimizu E, Komura M, Fujimoto A, Nagai M, Kato M, Liang H, Miyano S, Zhang Z, Nakagawa H, Imoto S. Immunogenomic pan-cancer landscape reveals immune escape mechanisms and immunoediting histories. Scientific reports. 2021.08; 11 (1): 15713. ( PubMed, DOI )

  16. Ho Namkoong , Ryuya Edahiro , Koichi Fukunaga , Yuya Shirai , Kyuto Sonehara , Hiromu Tanaka , Ho Lee , Takanori Hasegawa , Masahiro Kanai , Tatsuhiko Naito , Kenichi Yamamoto , Ryunosuke Saiki , Takayoshi Hyugaji , Eigo Shimizu , Kotoe Katayama , Kazuhisa Takahashi , Norihiro Harada , Toshio Naito , Makoto Hiki , Yasushi Matsushita , Haruhi Takagi , Ryousuke Aoki , Ai Nakamura , Sonoko Harada , Hitoshi Sasano , Hiroki Kabata , Katsunori Masaki , Hirofumi Kamata , Shinnosuke Ikemura , Shotaro Chubachi , Satoshi Okamori , Hideki Terai , Atsuho Morita , Takanori Asakura , Junichi Sasaki , Hiroshi Morisaki , Yoshifumi Uwamino , Kosaku Nanki , Yohei Mikami , Sho Uchida , Shunsuke Uno , Rino Ishihara , Yuta Matsubara , Tomoyasu Nishimura , Takanori Ogawa , Takashi Ishiguro , Taisuke Isono , Shun Shibata , Yuma Matsui , Chiaki Hosoda , Kenji Takano , Takashi Nishida , Yoichi Kobayashi , Yotaro Takaku , Noboru Takayanagi , Soichiro Ueda , Ai Tada , Masayoshi Miyawaki , Masaomi Yamamoto , Eriko Yoshida , Reina Hayashi , Tomoki Nagasaka , Sawako Arai , Yutaro Kaneko , Kana Sasaki , Etsuko Tagaya , Masatoshi Kawana , Ken Arimura , Kunihiko Takahashi , Tatsuhiko Anzai , Satoshi Ito , Akifumi Endo , Yuji Uchimura , Yasunari Miyazaki , Takayuki Honda , Tomoya Tateishi , Shuji Tohda , Naoya Ichimura , Kazunari Sonobe , Chihiro Sassa , Jun Nakajima , Yasushi Nakano , Yukiko Nakajima , Ryusuke Anan , Ryosuke Arai , Yuko Kurihara , Yuko Harada , Kazumi Nishio , Tetsuya Ueda , Masanori Azuma , Ryuichi Saito , Toshikatsu Sado , Yoshimune Miyazaki , Ryuichi Sato , Yuki Haruta , Tadao Nagasaki , Yoshinori Yasui , Yoshinori Hasegawa , Yoshikazu Mutoh , Tomonori Sato , Reoto Takei , Satoshi Hagimoto , Yoichiro Noguchi , Yasuhiko Yamano , Hajime Sasano , Sho Ota , Yasushi Nakamori , Kazuhisa Yoshiya , Fukuki Saito , Tomoyuki Yoshihara , Daiki Wada , Hiromu Iwamura , Syuji Kanayama , Shuhei Maruyama , Takashi Yoshiyama , Ken Ohta , Hiroyuki Kokuto , Hideo Ogata , Yoshiaki Tanaka , Kenichi Arakawa , Masafumi Shimoda , Takeshi Osawa , Hiroki Tateno , Isano Hase , Shuichi Yoshida , Shoji Suzuki , Miki Kawada , Hirohisa Horinouchi , Fumitake Saito , Keiko Mitamura , Masao Hagihara , Junichi Ochi , Tomoyuki Uchida , Rie Baba , Daisuke Arai , Takayuki Ogura , Hidenori Takahashi , Shigehiro Hagiwara , Genta Nagao , Shunichiro Konishi , Ichiro Nakachi , Koji Murakami , Mitsuhiro Yamada , Hisatoshi Sugiura , Hirohito Sano , Shuichiro Matsumoto , Nozomu Kimura , Yoshinao Ono , Hiroaki Baba , Yusuke Suzuki , Sohei Nakayama , Keita Masuzawa , Shinichi Namba , Ken Suzuki , Nobuyuki Hizawa , Takayuki Shiroyama , Satoru Miyawaki , Yusuke Kawamura , Akiyoshi Nakayama , Hirotaka Matsuo , Yuichi Maeda , Takuro Nii , Yoshimi Noda , Takayuki Niitsu , Yuichi Adachi , Takatoshi Enomoto , Saori Amiya , Reina Hara , Toshihiro Kis. Japan COVID-19 Task Force: a nation-wide consortium to elucidate host genetics of COVID-19 pandemic in Japan 2021.05;

  17. Shotaro Sakimura, Satoshi Nagayama, Mitsuko Fukunaga, Qingjiang Hu, Akihiro Kitagawa, Yuta Kobayashi, Takanori Hasegawa, Miwa Noda, Yuta Kouyama, Dai Shimizu, Tomoko Saito, Atsushi Niida, Yusuke Tsuruda, Hajime Otsu, Yoshihiro Matsumoto, Hiroki Uchida, Takaaki Masuda, Keishi Sugimachi, Shin Sasaki, Kazutaka Yamada, Kazuki Takahashi, Hideki Innan, Yutaka Suzuki, Hiromi Nakamura, Yasushi Totoki, Shinichi Mizuno, Masanobu Ohshima, Tatsuhiro Shibata, Koshi Mimori. Impaired tumor immune response in metastatic tumors is a selective pressure for neutral evolution in CRC cases. PLoS Genet. 2021.01; 17 (1): e1009113. ( PubMed, DOI )

  18. Imoto S, Hasegawa T, Yamaguchi R. Data science and precision health care. Nutrition reviews. 2020.12; 78 (12 Suppl 2): 53-57. ( PubMed, DOI )

  19. Sato N, Kakuta M, Hasegawa T, Yamaguchi R, Uchino E, Murashita K, Nakaji S, Imoto S, Yanagita M, Okuno Y. Metagenomic profiling of gut microbiome in early chronic kidney disease. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 2020.09; 36 (9): 1675-1684. ( PubMed, DOI )

  20. Hasegawa T, Hayashi S, Shimizu E, Mizuno S, Niida A, Yamaguchi R, Miyano S, Nakagawa H, Imoto S. Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens. Bioinformatics (Oxford, England). 2020.09; 36 (18): 4813-4816. ( PubMed, DOI )

  21. Misawa K, Hasegawa T, Mishima E, Jutabha P, Ouchi M, Kojima K, Kawai Y, Matsuo M, Anzai N, Nagasaki M. Contribution of Rare Variants of the SLC22A12 Gene to the Missing Heritability of Serum Urate Levels. Genetics. 2020.04; 214 (4): 1079-1090. ( PubMed, DOI )

  22. Sato N, Kakuta M, Hasegawa T, Yamaguchi R, Uchino E, Kobayashi W, Sawada K, Tamura Y, Tokuda I, Murashita K, Nakaji S, Imoto S, Yanagita M, Okuno Y. Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers. NPJ biofilms and microbiomes. 2020.03; 6 (1): 11. ( PubMed, DOI )

  23. Akihiro Fujimoto, Masashi Fujita, Takanori Hasegawa, Jing Hao Wong, Kazuhiro Maejima, Aya Oku-Sasaki, Kaoru Nakano, Yuichi Shiraishi, Satoru Miyano, Go Yamamoto, Kiwamu Akagi, Seiya Imoto, Hidewaki Nakagawa. Comprehensive analysis of indels in whole-genome microsatellite regions and microsatellite instability across 21 cancer types. Genome Res. 2020.03; 30 (3): 334-346. ( PubMed, DOI )

  24. Fujita Masashi, Yamaguchi Rui, Hasegawa Takanori, Shimada Shu, Arihiro Koji, Hayashi Shuto, Maejima Kazuhiro, Nakano Kaoru, Fujimoto Akihiro, Ono Atsushi, Aikata Hiroshi, Ueno Masaki, Hayami Shinya, Tanaka Hiroko, Miyano Satoru, Yamaue Hiroki, Chayama Kazuaki, Kakimi Kazuhiro, Tanaka Shinji, Imoto Seiya, Nakagawa Hidewaki. Classification of primary liver cancer with immunosuppression mechanisms and correlation with genomic alterations EBIOMEDICINE. 2020.03; 53 102659. ( PubMed, DOI )

  25. Pan-cancer analysis of whole genomes. Nature. 2020.02; 578 (7793): 82-93. ( PubMed, DOI )

  26. Noriaki Sato, Masanori Kakuta, Eiichiro Uchino, Takanori Hasegawa, Ryosuke Kojima, Wataru Kobayashi, Kaori Sawada, Yoshihiro Tamura, Itoyo Tokuda, Seiya Imoto, Shigeyuki Nakaji, Koichi Murashita, Motoko Yanagita, Yasushi Okuno. The relationship between cigarette smoking and the tongue microbiome in an East Asian population. J Oral Microbiol. 2020; 12 (1): 1742527. ( PubMed, DOI )

  27. Takanori Hasegawa, Rui Yamaguchi, Masanori Kakuta, Kaori Sawada, Kenichi Kawatani, Koichi Murashita, Shigeyuki Nakaji, Seiya Imoto. Prediction of blood test values under different lifestyle scenarios using time-series electronic health record. PLoS One. 2020; 15 (3): e0230172. ( PubMed, DOI )

  28. Sunao Shimizu, Junsei Mimura, Takanori Hasegawa, Eigo Shimizu, Seiya Imoto, Michiko Tsushima, Shuya Kasai, Hiromi Yamazaki, Yusuke Ushida, Hiroyuki Suganuma, Hirofumi Tomita, Masayuki Yamamoto, Shigeyuki Nakaji, Ken Itoh. Association of single nucleotide polymorphisms in the NRF2 promoter with vascular stiffness with aging. PLoS One. 2020; 15 (8): e0236834. ( PubMed, DOI )

  29. Atsushi Niida, Takanori Hasegawa, Hideki Innan, Tatsuhiro Shibata, Koshi Mimori, Satoru Miyano. A unified simulation model for understanding the diversity of cancer evolution. PeerJ. 2020; 8 (4): e8842. ( PubMed, DOI )

  30. Tomoko Saito, Atsushi Niida, Ryutaro Uchi, Hidenari Hirata, Hisateru Komatsu, Shotaro Sakimura, Shuto Hayashi, Sho Nambara, Yosuke Kuroda, Shuhei Ito, Hidetoshi Eguchi, Takaaki Masuda, Keishi Sugimachi, Taro Tobo, Haruto Nishida, Tsutomu Daa, Kenichi Chiba, Yuichi Shiraishi, Tetsuichi Yoshizato, Masaaki Kodama, Tadayoshi Okimoto, Kazuhiro Mizukami, Ryo Ogawa, Kazuhisa Okamoto, Mitsutaka Shuto, Kensuke Fukuda, Yusuke Matsui, Teppei Shimamura, Takanori Hasegawa, Yuichiro Doki, Satoshi Nagayama, Kazutaka Yamada, Mamoru Kato, Tatsuhiro Shibata, Masaki Mori, Hiroyuki Aburatani, Kazunari Murakami, Yutaka Suzuki, Seishi Ogawa, Satoru Miyano, Koshi Mimori. A temporal shift of the evolutionary principle shaping intratumor heterogeneity in colorectal cancer. Nat Commun. 2020; 9 (1): 2884. ( PubMed, DOI )

  31. Hasegawa Takanori, Yamaguchi Rui, Niida Atsushi, Miyano Satoru, Imoto Seiya. Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS. 2020; 357 (5): 2916-2933. ( DOI )

  32. Atsushi Niida, Takanori Hasegawa, Satoru Miyano. Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization. PLoS One. 2019; 14 (3): e0210678. ( PubMed, DOI )

  33. Masashi Fujita, Seiya Imoto, Rui Yamaguchi, Takanori Hasegawa, Shuto Hayashi, Kazuhiro Kakimi, Satoru Miyano, Hiroki Yamaue, Kazuaki Chayama, Hidewaki Nakagawa. Genomic insights into immune suppression in liver cancer CANCER SCIENCE. 2018.12; 109 640.

  34. Comprehensive Search for Prognostic Biomarkers using PCAWG Data 2018.12; 109 291.

  35. Masashi Fujita, Seiya Imoto, Rui Yamaguchi, Takanori Hasegawa, Shuto Hayashi, Satoru Miyano, Hiroki Yamaue, Kazuaki Chayama, Hidewaki Nakagawa. Immuno-genomic subtype of liver cancer correlates with mechanisms of immune suppression and prognosis HUMAN GENOMICS. 2018.03; 12

  36. Takanori Hasegawa, Kaname Kojima, Yosuke Kawai, Masao Nagasaki. Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation IEEE Trans. Signal Process. 2018; 66 (23): 6148-6161.

  37. Tomohiro Morita, Abidur Rahman, Takanori Hasegawa, Akihiko Ozaki, Tetsuya Tanimoto. The Potential Possibility of Symptom Checker. Int J Health Policy Manag. 2017.10; 6 (10): 615-616. ( PubMed, DOI )

  38. Takanori Hasegawa, Kaname Kojima, Yosuke Kawai, Kazuharu Misawa, Takahiro Mimori, Masao Nagasaki. AP-SKAT: highly-efficient genome-wide rare variant association test. BMC Genomics. 2016.09; 17 (1): 745. ( PubMed, DOI )

  39. Kojima K, Kawai Y, Nariai N, Mimori T, Hasegawa T, Nagasaki M. Short tandem repeat number estimation from paired-end reads for multiple individuals by considering coalescent tree. BMC genomics. 2016.08; 17 Suppl 5 494. ( PubMed, DOI )

  40. Seizo Koshiba, Ikuko Motoike, Kaname Kojima, Takanori Hasegawa, Matsuyuki Shirota, Tomo Saito, Daisuke Saigusa, Inaho Danjoh, Fumiki Katsuoka, Soichi Ogishima, Yosuke Kawai, Yumi Yamaguchi-Kabata, Miyuki Sakurai, Sachiko Hirano, Junichi Nakata, Hozumi Motohashi, Atsushi Hozawa, Shinichi Kuriyama, Naoko Minegishi, Masao Nagasaki, Takako Takai-Igarashi, Nobuo Fuse, Hideyasu Kiyomoto, Junichi Sugawara, Yoichi Suzuki, Shigeo Kure, Nobuo Yaegashi, Osamu Tanabe, Kengo Kinoshita, Jun Yasuda, Masayuki Yamamoto. The structural origin of metabolic quantitative diversity. Sci Rep. 2016.08; 6 31463. ( PubMed, DOI )

  41. Junji Kurashige, Takanori Hasegawa, Atsushi Niida, Keishi Sugimachi, Niantao Deng, Kosuke Mima, Ryutaro Uchi, Genta Sawada, Yusuke Takahashi, Hidetoshi Eguchi, Masashi Inomata, Seigo Kitano, Takeo Fukagawa, Mitsuru Sasako, Hiroki Sasaki, Shin Sasaki, Masaki Mori, Kazuyoshi Yanagihara, Hideo Baba, Satoru Miyano, Patrick Tan, Koshi Mimori. Integrated Molecular Profiling of Human Gastric Cancer Identifies DDR2 as a Potential Regulator of Peritoneal Dissemination. Sci Rep. 2016.03; 6 22371. ( PubMed, DOI )

  42. Hasegawa Takanori, Niida Atsushi, Mori Tomoya, Shimamura Teppei, Yamaguchi Rui, Miyano Satoru, Akutsu Tatsuya, Imoto Seiya. A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2016.02; 94 63-74. ( DOI )

  43. Emi Ayada, Takanori Hasegawa, Atsushi Niida, Satoru Miyano, Seiya Imoto. Binary contingency table method for analysing gene mutation in cancer genome 2016; 12 (3): 211-226.

  44. T. Hasegawa, S. Hayashi, E. Shimizu, S. Mizuno, R. Yamaguchi, S. Miyano, H. Nakagawa, S. Imoto. An in silico automated pipeline to identify tumor specic neoantigens from whole genome and exome sequencing data Proceeding of 12th International Symposium on Bioinformatics Research and Applications. 2016;

  45. Emi Ayada, Atsushi Niida, Takanori Hasegawa, Satoru Miyano, Seiya Imoto. Binary Contingency Table Method for Analyzing Gene Mutation in Cancer Genome BIOINFORMATICS RESEARCH AND APPLICATIONS (ISBRA 2015). 2015.06; 9096 12-23.

  46. Hasegawa T, Mori T, Yamaguchi R, Shimamura T, Miyano S, Imoto S, Akutsu T. Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks. BMC systems biology. 2015.03; 9 14. ( PubMed, DOI )

  47. Kaname Kojima, Yosuke Kawai, Naoki Nariai, Takahiro Mimori, Takanori Hasegawa, Masao Nagasaki. Short Tandem Repeat Number Estimation from Paired-end Sequence Reads by Considering Unobserved Genealogy of Multiple Individuals BIOINFORMATICS RESEARCH AND APPLICATIONS. 2015; 9096 422-423.

  48. Hasegawa T, Mori T, Yamaguchi R, Imoto S, Miyano S, Akutsu T. An efficient data assimilation schema for restoration and extension of gene regulatory networks using time-course observation data. Journal of computational biology : a journal of computational molecular cell biology. 2014.11; 21 (11): 785-98. ( PubMed, DOI )

  49. Hasegawa T, Nagasaki M, Yamaguchi R, Imoto S, Miyano S. An efficient method of exploring simulation models by assimilating literature and biological observational data. Bio Systems. 2014.07; 121 54-66. ( PubMed, DOI )

  50. Hasegawa T, Yamaguchi R, Nagasaki M, Miyano S, Imoto S. Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization. PloS one. 2014; 9 (8): e105942. ( PubMed, DOI )

  51. Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano. Poster: Comprehensive pharmacogenomic pathway screening by data assimilation IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences(ICCABS). 2011.02; 246.

  52. Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano. Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation BIOINFORMATICS RESEARCH AND APPLICATIONS. 2011; 6674 160-171.

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Conference Activities & Talks 【 display / non-display 】

  1. 佐伯 龍之介, 枝廣 龍哉, 曽根原 究人, 王 青波, 南宮 湖, 長谷川 嵩矩, 南谷 泰仁, 白石 友一, 木村 彰方, 井元 清哉, 宮野 悟, 金井 隆典, 福永 興壱, 岡田 随象, 小川 誠司. クローン性造血が新型コロナ感染症の重症化リスクに与える影響(The impact of clonal hematopoiesis on the risk of severe COVID-19). 日本癌学会総会記事 2023.09.01

  2. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  3. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  4. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  5. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  6. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  7. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  8. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  9. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  10. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  11. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  12. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  13. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  14. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  15. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  16. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  17. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  18. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  19. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  20. 加藤 護, 永井 桃子, 長谷川 嵩矩, 井元 清哉, 松井 茂之, 角田 達彦, 柴田 龍弘. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data). 日本癌学会総会記事 2018.09.01

  21. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 垣見 和宏, 宮野 悟, 山上 裕機, 茶山 一彰, 中川 英刀. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer). 日本癌学会総会記事 2018.09.01

  22. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  23. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  24. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  25. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  26. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  27. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  28. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  29. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  30. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

  31. 藏重 淳二, 長谷川 嵩矩, 新井田 厚司, 美馬 浩介, 内 龍太郎, 高野 裕樹, 江口 英利, 杉町 圭史, 柳原 五吉, 馬場 秀夫, 三森 功士. 腹膜播種モデルマウスを用いた胃癌腹膜播種規定因子の解明(Identified genetic signature stimulated peritoneal dissemination in gastric cancer). 日本癌学会総会記事 2014.09.01

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To the head of this page.▲