Rina Kitada
2 Papers
Rina Kitada is an academic researcher. The author has contributed to research in topics: Biology & Comparative genomics. The author has an hindex of 2, co-authored 2 publications.
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Papers
Whole-genome mutational landscape of liver cancers displaying biliary phenotype reveals hepatitis impact and molecular diversity
Akihiro Fujimoto,Mayuko Furuta,Yuichi Shiraishi,Kunihito Gotoh,Yoshiiku Kawakami,Koji Arihiro,Toru Nakamura,Masaki Ueno,Shunichi Ariizumi,Ha Hai Nguyen,Daichi Shigemizu,Tetsuo Abe,Keith A. Boroevich,Kaoru Nakano,Aya Sasaki,Rina Kitada,Kazihiro Maejima,Yujiro Yamamoto,Hiroko Tanaka,Tetsuo Shibuya,Tatsuhiro Shibata,Hidenori Ojima,Kazuaki Shimada,Shinya Hayami,Yoshinobu Shigekawa,Hiroshi Aikata,Hideki Ohdan,Shigeru Marubashi,Terumasa Yamada,Michiaki Kubo,Satoshi Hirano,Osamu Ishikawa,Masakazu Yamamoto,Hiroki Yamaue,Kazuaki Chayama,Satoru Miyano,Tatsuhiko Tsunoda,Hidewaki Nakagawa +37 more
TL;DR: The genome-wide substitution patterns of LCBs developed in chronic hepatitis livers overlapped with those of 60 HCCs, whereas those of hepatitis-negative LCBs diverged, revealing the strong impact of chronic hepatitis on the mutational landscape in liver cancer and the genetic diversity among LCBs.
Integrated analysis of whole genome and transcriptome sequencing reveals diverse transcriptomic aberrations driven by somatic genomic changes in liver cancers.
Yuichi Shiraishi,Akihiro Fujimoto,Mayuko Furuta,Hiroko Tanaka,Kenichi Chiba,Keith A. Boroevich,Tetsuo Abe,Yoshiiku Kawakami,Masaki Ueno,Kunihito Gotoh,Shunichi Ariizumi,Tetsuo Shibuya,Kaoru Nakano,Aya Sasaki,Kazuhiro Maejima,Rina Kitada,Shinya Hayami,Yoshinobu Shigekawa,Shigeru Marubashi,Terumasa Yamada,Michiaki Kubo,Osamu Ishikawa,Hiroshi Aikata,Koji Arihiro,Hideki Ohdan,Masakazu Yamamoto,Hiroki Yamaue,Kazuaki Chayama,Tatsuhiko Tsunoda,Satoru Miyano,Hidewaki Nakagawa +30 more
TL;DR: Combined analyses of whole genomes and transcriptomes of 22 hepatitis B virus-related hepatocellular carcinomas (HCCs) and their matched controls indicate genomic alterations in cancer genome have diverse transcriptomic effects, and integrated analysis of WGS and RNA-Seq can facilitate the interpretation of a large number of genomic alterations detected incancer genome.