Literature DB >> 32804325

Prognostic Value of the Preoperative Tumor Marker Index in Resected Pancreatic Ductal Adenocarcinoma: A Retrospective Single-Institution Study.

Tatsunori Miyata1, Hiromitsu Hayashi1, Yo-Ichi Yamashita1, Kazuki Matsumura1, Yosuke Nakao1, Rumi Itoyama1, Takanobu Yamao1, Masayo Tsukamoto1, Hirohisa Okabe1, Katsunori Imai1, Akira Chikamoto1, Takatoshi Ishiko1, Hideo Baba2.   

Abstract

BACKGROUND: The prediction of prognostic outcomes can provide the most suitable strategy for patients with pancreatic ductal adenocarcinoma (PDAC). This study aimed to evaluate the clinical value of the preoperative tumor marker index (pre-TI) in predicting prognostic outcomes after resection for PDAC.
METHODS: For 183 patients who underwent pancreatic resection of PDAC, adjusted carbohydrate antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA), pancreatic cancer-associated antigen-2 (DUpan-2), and s-pancreas-1 antigen (SPan-1) were retrospectively evaluated, and the positive number of these markers was scored as the pre-TI.
RESULTS: A high pre-TI (≥ 2) was significantly associated with a larger tumor and lymph node metastases, and the patients with a high pre-TI had worse prognostic outcomes in terms of both relapse-free survival (RFS) (P < 0.0001, log-rank) and overall survival (OS) (P < 0.0001, Λlog-rank) than the patients with a low pre-TI. The pre-TI was one of the independent factors of a poor prognosis for RFS (hazard ratio [HR], 2.36; P < 0.0001) and OS (HR, 2.27; P < 0.0001). In addition, even for the patients with normal adjusted CA19-9 values (n = 74, 40.4%), those with the high pre-TI had a significantly poorer prognosis than those with a low pre-TI (RFS: P = 0.002, log-rank; OS: P = 0.031, log-rank).
CONCLUSIONS: The pre-TI could be a potent predictive marker of prognostic outcomes for patients with resections for PDAC. Patients with a high pre-TI may need additional strategies to improve their prognosis.

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Year:  2020        PMID: 32804325     DOI: 10.1245/s10434-020-09022-3

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  1 in total

1.  PD-L1 expression enhancement by infiltrating macrophage-derived tumor necrosis factor-α leads to poor pancreatic cancer prognosis.

Authors:  Masayo Tsukamoto; Katsunori Imai; Takatsugu Ishimoto; Yoshihiro Komohara; Yo-Ichi Yamashita; Shigeki Nakagawa; Naoki Umezaki; Takanobu Yamao; Yuki Kitano; Tatsunori Miyata; Kota Arima; Hirohisa Okabe; Yoshifumi Baba; Akira Chikamoto; Takatoshi Ishiko; Masahiko Hirota; Hideo Baba
Journal:  Cancer Sci       Date:  2018-12-14       Impact factor: 6.716

  1 in total
  4 in total

1.  Frailty is associated with poor prognosis after resection for pancreatic cancer.

Authors:  Kosuke Mima; Hiromitsu Hayashi; Shigeki Nakagawa; Takashi Matsumoto; Shotaro Kinoshita; Kazuki Matsumura; Fumimasa Kitamura; Norio Uemura; Yosuke Nakao; Rumi Itoyama; Takayoshi Kaida; Katsunori Imai; Yo-Ichi Yamashita; Hideo Baba
Journal:  Int J Clin Oncol       Date:  2021-07-07       Impact factor: 3.402

2.  Prediction of early recurrence of pancreatic ductal adenocarcinoma after resection.

Authors:  Toshitaka Sugawara; Daisuke Ban; Jo Nishino; Shuichi Watanabe; Aya Maekawa; Yoshiya Ishikawa; Keiichi Akahoshi; Kosuke Ogawa; Hiroaki Ono; Atsushi Kudo; Shinji Tanaka; Minoru Tanabe
Journal:  PLoS One       Date:  2021-04-12       Impact factor: 3.240

Review 3.  Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma.

Authors:  Hiromitsu Hayashi; Norio Uemura; Kazuki Matsumura; Liu Zhao; Hiroki Sato; Yuta Shiraishi; Yo-Ichi Yamashita; Hideo Baba
Journal:  World J Gastroenterol       Date:  2021-11-21       Impact factor: 5.742

4.  Development of a Biomarker-Based Scoring System Predicting Early Recurrence of Resectable Pancreatic Duct Adenocarcinoma.

Authors:  Keinosuke Ishido; Norihisa Kimura; Taiichi Wakiya; Hayato Nagase; Yutaro Hara; Taishu Kanda; Hiroaki Fujita; Kenichi Hakamada
Journal:  Ann Surg Oncol       Date:  2021-10-04       Impact factor: 5.344

  4 in total

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