Literature DB >> 22083213

Aberrant expression of intelectin-1 in gastric cancer: its relationship with clinicopathological features and prognosis.

Liduan Zheng1, Mixia Weng, Meng Qi, Teng Qi, Ling Tong, Xiaohua Hou, Qiangsong Tong.   

Abstract

PURPOSES: Human intelectin-1 (ITLN-1) is a novel identified galactose-binding lectin that is expressed in the colonic goblet cells. Since gastric adenocarcinomas can arise through a process of intestinalization, we speculate that ITLN-1 may be aberrantly expressed in gastric cancer. This study was undertaken to examine the ITLN-1 expression in gastric cancer and correlate it with clinical outcomes.
METHODS: One hundred and ninety-six gastric cancer patients were evaluated for the ITLN-1 expression by immunohistochemistry. The ITLN-1 transcripts were measured by real-time quantitative PCR.
RESULTS: ITLN-1 expression was absent in normal gastric mucosa, whereas areas of intestinal metaplasia revealed ITLN-1 immunoreactivity. One hundred and forty-two gastric cancer patients (72.4%) were positive for ITLN-1 expression. In a subtotal of 20 patients, ITLN-1 transcripts were significantly enhanced in gastric cancer tissues than in normal gastric mucosa (P < 0.001). The expression rate of ITLN-1 was higher in intestinal-type carcinomas than in diffuse-type carcinomas (P = 0.003). ITLN-1 positivity in gastric cancer was positively correlated with tumor differentiation (P = 0.001) and CDX2 expression (P < 0.001), and inversely correlated with depth of invasion (P = 0.007), lymph node metastasis (P = 0.001), distant metastasis (P = 0.014), clinical stage (P = 0.006), Ki-67 expression (P = 0.001), and heparanase expression (P < 0.001), without correlation with age, gender, tumor location, or tumor size. In univariate and multivariate analyses, ITLN-1 was an independent prognostic factor for longer survival of gastric cancer patients (P = 0.001).
CONCLUSION: The aberrant ITLN-1 expression in gastric cancer is correlated with clinicopathological features and may be a useful prognostic factor for predicting the outcomes of gastric cancer patients.

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Year:  2011        PMID: 22083213     DOI: 10.1007/s00432-011-1088-8

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


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