MISC

2003年5月

Implication of micrometastases of lymph nodes in patients with extended operation for pancreatic cancer

PANCREAS
  • K Kanemitsu
  • ,
  • T Hiraoka
  • ,
  • T Tsuji
  • ,
  • K Inoue
  • ,
  • H Takamori

26
4
開始ページ
315
終了ページ
321
記述言語
英語
掲載種別
DOI
10.1097/00006676-200305000-00001
出版者・発行元
LIPPINCOTT WILLIAMS & WILKINS

Introduction: Accurate evaluation of lymph node metastases is very important in planning treatment for pancreatic cancer. Aim: To detect micrometastases in lymph nodes dissected from patients with pancreatic cancer. Methodology: We used cytokeratin staining of negative lymph nodes in routine hematoxylin-eosin (HE) staining. We examined by cytokeratin staining 239 HE-negative nodes from 7 patients with no pathologic evidence of lymph node metastasis (n0 cases) and 718 HE-negative group 2 nodes from 23 patients with metastasis in group 1 lymph nodes (n1 cases) who underwent extended operation combined with intraoperative radiation therapy (IORT). Results: Cytokeratin staining identified 15 positive nodes among the 239 HE-negative nodes from the 7 n0 cases and 8 positive nodes among the 718 HE-negative nodes from the 23 n1 cases. Among the 7 n0 cases, 5 (71.4%) had positive n1 nodes and 2 (28.3%) also had positive n2 nodes. Among the 23 n1 cases, 4 (17.4%) had positive n2 nodes. Patients with micrometastases in n2 nodes died within 25 months. Conclusion: Cytokeratin staining is very useful to evaluate the involvement of lymph nodes in pancreatic cancer. Prognosis of pancreatic cancer should be determined in conjunction with evaluation of nodal status by cytokecatin staining. Extended operation was not useful for pancreatic cancer patients with micrometastases of group 2 nodes.

リンク情報
DOI
https://doi.org/10.1097/00006676-200305000-00001
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000182676200001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1097/00006676-200305000-00001
  • ISSN : 0885-3177
  • Web of Science ID : WOS:000182676200001

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