Suppr超能文献

胃癌患者术前血清唾液酸化刘易斯(x)、唾液酸化刘易斯(a)和唾液酸化Tn抗原水平的预测因素。

Predictive factors for preoperative serum levels of sialy Lewis(x), sialyl Lewis(a) and sialyl Tn antigens in gastric cancer patients.

作者信息

Nakagoe Tohru, Sawai Terumitsu, Tsuji Takashi, Jibiki Masa-Aki, Nanashima Atsushi, Yamaguchi Hiroyuki, Yasutake Toru, Ayabe Hiroyoshi, Arisawa Kokichi, Ishikawa Hiroshi

机构信息

First Department of Surgery, Nagasaki University School of Medicine, Japan.

出版信息

Anticancer Res. 2002 Jan-Feb;22(1A):451-8.

Abstract

Preoperative serum levels of sialyl Lewis(a) (CA19-9), sialyl Lewis(x) (SLX) and sialyl Tn (STN) antigens in 180 patients with gastric cancer were examined to establish predictive factors for serum levels of these antigens compared with carcinoembryonic antigen (CEA). The patients were divided into low and high antigen groups. Multivariate logistic regression analysis revealed the following independent predictive factors for high antigen levels [odds ratio]: liver metastasis for CA19-9 [4.40], SLX [9.90], STN [39.65] and CEA [5.14]; peritoneal dissemination for SLX [4.78] or STN [13.01]; venous invasion for CEA [3.56]; lymph node metastasis for CA19-9 [4.51]. In addition, high CA19-9 levels were independently related to lymph node metastasis in patients with stage I or II tumors. In conclusion, high serum levels of CA19-9, SLX and STN are associated with liver metastasis, while high serum levels of SLX and STN are associated with peritoneal dissemination. In addition, high serum CA19-9 levels may represent an independent predictor for lymph node metastasis.

摘要

检测180例胃癌患者术前血清中唾液酸化路易斯抗原a(CA19-9)、唾液酸化路易斯抗原x(SLX)和唾液酸化Tn抗原(STN)的水平,以确定与癌胚抗原(CEA)相比这些抗原血清水平的预测因素。将患者分为低抗原组和高抗原组。多因素逻辑回归分析显示,高抗原水平的独立预测因素如下[比值比]:CA19-9的肝转移[4.40]、SLX[9.90]、STN[39.65]和CEA[5.14];SLX[4.78]或STN[13.01]的腹膜播散;CEA的静脉侵犯[3.56];CA19-9的淋巴结转移[4.51]。此外,CA19-9高水平与I期或II期肿瘤患者的淋巴结转移独立相关。总之,CA19-9、SLX和STN的高血清水平与肝转移相关,而SLX和STN的高血清水平与腹膜播散相关。此外,血清CA19-9高水平可能是淋巴结转移的独立预测指标。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验