論文

査読有り
2017年9月

Gross Appearance and Curability Are Predictive Factors of a Better Prognosis After Gastrectomy in Gastric Cancer Patients with Metastasis to the Adjacent Peritoneum of the Stomach

YONAGO ACTA MEDICA
  • Hiroaki Saito
  • ,
  • Yusuke Kono
  • ,
  • Yuki Murakami
  • ,
  • Hirohiko Kuroda
  • ,
  • Tomoyuki Matsunaga
  • ,
  • Yoji Fukumoto
  • ,
  • Tomohiro Osaki
  • ,
  • Yoshiyuki Fujiwara

60
3
開始ページ
174
終了ページ
178
記述言語
英語
掲載種別
研究論文(学術雑誌)
出版者・発行元
TOTTORI UNIV, FACULTY MEDICINE

Background Gastric cancer patients with peritoneal metastasis have an extremely poor prognosis. The aim of the current study was to clarify the predictive factors of a better outcome in gastric cancer patients with peritoneal metastasis.
Methods We analyzed the records of 2262 gastric adenocarcinoma patients who underwent gastrectomies at our institution between January 1980 and December 2010.
Results The 5-year survival rates for advanced gastric cancer patients with P1 (n = 43), P2 (n = 56), and P3 (n = 36) metastasis were 16.3%, 0%, and 0%, respectively. The prognosis of P1 gastric cancer patients was significantly better than that of either P2 (P = 0.0003) or P3 patients (P < 0.0001). A multivariate analysis identified gross appearance and curability as independent prognostic indicators in P1 gastric cancer patients. In fact, the prognosis was good for patients in whom an R0/1 resection had been performed and with tumors having a gross appearance of other than type 4, with a 40% 5-year survival rate and a 29-month median survival time.
Conclusion Our data indicated a good prognosis for P1 patients in whom an R0/1 resection could be performed and with tumors having a gross appearance of other than type 4. Therefore, radical surgery and adequate adjuvant chemotherapy should be performed in these patients.

リンク情報
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28959128
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000417029800006&DestApp=WOS_CPL
ID情報
  • ISSN : 0513-5710
  • PubMed ID : 28959128
  • Web of Science ID : WOS:000417029800006

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