フククラ ヨシヒコ
Yoshihiko Fukukura
福倉 良彦 所属 川崎医科大学 医学部 臨床医学 機能・代謝画像診断学 職種 教授 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読あり |
表題 | Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in pancreatic ductal adenocarcinoma. |
掲載誌名 | 正式名:Pancreas 略 称:Pancreas ISSNコード:15364828/08853177 |
掲載区分 | 国外 |
巻・号・頁 | 44(5),pp.728-734 |
著者・共著者 | Michiyo Higashi, Seiya Yokoyama, Takafumi Yamamoto, Yuko Goto, Ikumi Kitazono, Tsubasa Hiraki, Hiroki Taguchi, Shinichi Hashimoto, Yoshihiko Fukukura, Chihaya Koriyama, Yuko Mataki, Kosei Maemura, Hiroyuki Shinchi, Maneesh Jain, Surinder K Batra, Suguru Yonezawa |
発行年月 | 2015/07 |
概要 | OBJECTIVES:The aim of this study was to further examine the utility of mucin (MUC) expression profiles as prognostic factors in pancreatic ductal adenocarcinoma (PDAC).METHODS:Mucin expression was examined by immunohistochemistry analysis in endoscopic ultrasound-guided fine-needle aspiration specimens obtained from 114 patients with PDAC. The rate of expression of each MUC was compared with clinicopathologic features.RESULTS:The expression rates of MUCs in cancer lesions were MUC1, 87.7%; MUC2, 0.8%; MUC4, 93.0%; MUC5AC, 78.9%; MUC6, 24.6%; and MUC16, 67.5%. MUC1 and MUC4 were positive, and MUC2 was negative in most PDACs. Patients with advanced stage of PDAC with MUC5AC expression had a significantly better outcome than those who were MUC5AC-negative (P = 0.002). With increasing clinical stage, total MUC6 expression decreased (P for trend = 0.001) and MUC16 cytoplasmic expression increased (P for trend = 0.02). The prognosis of patients with MUC16 cytoplasmic expression was significantly poorer than those without this expression. Multivariate survival analysis revealed that MUC16 cytoplasmic expression was a significant independent predictor of a poor prognosis after adjusting for the effects of other prognostic factors (P = 0.002).CONCLUSIONS:Mucin expression profiles in ultrasound-guided fine-needle aspiration specimens have excellent diagnostic utility and are useful predictors of outcome in patients with PDAC. |
DOI | 10.1097/MPA.0000000000000362 |
PMID | 25906442 |