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Masahiko Higashiyama
Researcher at Osaka University
Publications - 243
Citations - 9420
Masahiko Higashiyama is an academic researcher from Osaka University. The author has contributed to research in topics: Lung cancer & Survival rate. The author has an hindex of 50, co-authored 241 publications receiving 8259 citations.
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Journal ArticleDOI
Radical sublobar resection for small-sized non–small cell lung cancer: A multicenter study
TL;DR: Sublobar resection should be considered as an alternative for stage IA non-small cell lung cancers 2 cm or less, even in low-risk patients, and could lay the foundation for starting randomized controlled trials anew.
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Plasma Free Amino Acid Profiling of Five Types of Cancer Patients and Its Application for Early Detection
Yohei Miyagi,Masahiko Higashiyama,Akira Gochi,Makoto Akaike,Takashi Ishikawa,Takeshi Miura,Nobuhiro Saruki,Etsuro Bando,Hideki Kimura,Fumio Imamura,Masatoshi Moriyama,Ichiro Ikeda,Akihiko Chiba,Fumihiro Oshita,Akira Imaizumi,Hiroshi Yamamoto,Hiroshi Miyano,Katsuhisa Horimoto,Osamu Tochikubo,Toru Mitsushima,Minoru Yamakado,Naoyuki Okamoto +21 more
TL;DR: It is suggested that PFAA profiling has great potential for improving cancer screening and diagnosis and understanding disease pathogenesis, which involves a relatively simple plasma assay and imposes a lower physical burden on subjects when compared to existing screening methods.
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Intentional limited resection for selected patients with T1 N0 M0 non-small-cell lung cancer: A single-institution study
TL;DR: Segmentectomy with regional lymph node dissection, including the mediastinum, should be considered as an acceptable alternative treatment for selected patients with T1 N0 M0 disease.
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Quantitative Detection of EGFR Mutations in Circulating Tumor DNA Derived from Lung Adenocarcinomas
Kazuya Taniguchi,Junji Uchida,Kazumi Nishino,Toru Kumagai,Takako Okuyama,Jiro Okami,Masahiko Higashiyama,Ken Kodama,Fumio Imamura,Kikuya Kato +9 more
TL;DR: The major advantage of BEAMing is its ability to calculate the fraction of T790M-positive alleles from the alleles with activating mutations, regardless of normal cell DNA contamination, which may be useful for monitoring disease progression.
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A cross-population atlas of genetic associations for 220 human phenotypes
Saori Sakaue,Masahiro Kanai,Yosuke Tanigawa,Juha Karjalainen,Mitja I. Kurki,Seizo Koshiba,Akira Narita,Takahiro Konuma,Kenichi Yamamoto,Masato Akiyama,Kazuyoshi Ishigaki,Akari Suzuki,Ken Suzuki,Wataru Obara,Ken Yamaji,Kazuhisa Takahashi,Satoshi Asai,Yasuo Takahashi,Takao Suzuki,Nobuaki Shinozaki,Hiroki Yamaguchi,Shiro Minami,Shigeo Murayama,Kozo Yoshimori,Satoshi Nagayama,Daisuke Obata,Masahiko Higashiyama,Akihide Masumoto,Yukihiro Koretsune,FinnGen,Kaoru Ito,Chikashi Terao,Toshimasa Yamauchi,Issei Komuro,Takashi Kadowaki,Gen Tamiya,Masayuki Yamamoto,Yusuke Nakamura,Yusuke Nakamura,Michiaki Kubo,Yoshinori Murakami,Kazuhiko Yamamoto,Yoichiro Kamatani,Aarno Palotie,Aarno Palotie,Aarno Palotie,Manuel A. Rivas,Mark J. Daly,Koichi Matsuda,Yukinori Okada +49 more
TL;DR: In this paper, the authors conducted 220 deep-phenotype genome-wide association studies (diseases, biomarkers and medication usage) in BioBank Japan (n = 179,000), by incorporating past medical history and text-mining of electronic medical records.