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

Authors: Tohru, Nakagoe; Terumitsu, Sawai; Takashi, Tsuji; Masa-Aki, Jibiki; Atsushi, Nanashima; Hiroyuki, Yamaguchi; Toru, Yasutake; +3 Authors

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

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.

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Keywords

Adult, Aged, 80 and over, Male, CA-19-9 Antigen, Oligosaccharides, Middle Aged, Carcinoembryonic Antigen, Logistic Models, Predictive Value of Tests, Stomach Neoplasms, Gangliosides, Preoperative Care, Humans, Antigens, Tumor-Associated, Carbohydrate, Female, Sialyl Lewis X Antigen, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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Cancer Research
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