文献
J-GLOBAL ID:202002212352465484
整理番号:20A1607967
予測モデルのための尿中代謝物の正確な定量化は腎細胞癌の臨床病理学を明らかにする
Accurate quantification of urinary metabolites for predictive models manifest clinicopathology of renal cell carcinoma
著者 (12件):
Sato Tomonori
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Kawasaki Yoshihide
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Maekawa Masamitsu
(Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan)
,
Takasaki Shinya
(Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan)
,
Shimada Shuichi
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Morozumi Kento
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Sato Masahiko
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Kawamorita Naoki
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Yamashita Shinichi
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Mitsuzuka Koji
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
,
Mano Nariyasu
(Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan)
,
Ito Akihiro
(Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Japan)
資料名:
Cancer Science (Web)
(Cancer Science (Web))
巻:
111
号:
7
ページ:
2570-2578
発行年:
2020年
JST資料番号:
U0505A
ISSN:
1349-7006
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)