25 June 2019 : Laboratory Research
Clinical Significance of Lysophosphatidic Acid Receptor-2 (LPA2) and Krüppel-Like Factor 5 (KLF5) Protein Expression Detected by Tissue Microarray in Gastric AdenocarcinomaZhili Zhang1BDEG, Xiaoyong Zhu2ACF*
Med Sci Monit 2019; 25:4705-4715
BACKGROUND: The aim of this study was to evaluate lysophosphatidic acid receptor-2 (LPA2) and Krüppel-like factor 5 (KLF5) protein expression in gastric adenocarcinoma and their correlation with patient clinicopathological characteristics and prognosis.
MATERIAL AND METHODS: Fifty-one gastric adenocarcinoma tissue samples, 21 gastric intraepithelial neoplasia (GIN) samples, and 13 normal gastric tissue samples were collected to test for LPA2 and KLF5 expression by tissue microarray and immunohistochemistry assay. LPA2 and KLF5 positive expression rate between gastric adenocarcinoma, GIN, and normal gastric tissue were compared. The relationship between LPA2 expression, KLF5 expression, and patients’ clinicopathological characteristics and prognosis were evaluated.
RESULTS: The positive expression rate of LPA2 and KLF5 were statistical different in gastric adenocarcinoma, GIN, and normal gastric tissue (P<0.05). LPA2 positive expression was associated with tumor invasion depth, Lauren type, vascular invasion, local lymph node metastasis, and clinical stage (P<0.05). There was no correlation between LPA2 expression (hazard ratio [HR]=1.84, 95% confidence interval [CI]: 0.89–3.80, P>0.05), KLF5 expression (HR=1.13, 95% CI: 0.53–2.36, P>0.05), and gastric cancer patients’ overall survival.
CONCLUSIONS: LPA2 and KLF5 protein expressions were differently expressed in gastric adenocarcinoma, GIN, and normal gastric tissue, and differences were correlated with patients’ clinical characteristic. However, LPA2 and KLF5 expressions were not correlated with the patients’ prognosis.
Keywords: Prognosis, Receptors, Lysophosphatidic Acid, Stomach Neoplasms, Adenocarcinoma, Aged, Immunohistochemistry, Kruppel-Like Transcription Factors, Middle Aged, Proportional Hazards Models
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