Open AccessOverexpression of HS6ST2 is associated with poor prognosis in patients with gastric cancer
Author(s) -
Y. Jin,
Jun He,
Jing Du,
Runxuan Zhang,
Huang Yao,
Qin-shu Shao
Publication year - 2017
Publication title -
oncology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 54
eISSN - 1792-1082
pISSN - 1792-1074
DOI - 10.3892/ol.2017.6944
Subject(s) - oncogene , molecular medicine , immunohistochemistry , cancer , biology , microarray analysis techniques , cancer research , tissue microarray , metastasis , pathology , biomarker , cell cycle , gene , gene expression , medicine , genetics
The purpose of the present study was to investigate the clinical significance of the expression of heparan sulfate 6-O-sulfotransferase 2 (HS6ST2) in gastric cancer (GC). The Affymetrix GeneChip ® Human Genome U133 Plus 2.0 Array (Affymetrix; Thermo Fisher Scientific, Inc., Waltham, MA, USA) was used to identify differentially expressed genes in GC tissues vs. adjacent non-tumor gastric tissues. Candidate genes were further verified by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). In addition, an independent dataset was obtained from the Gene Expression Omnibus, and a survival analysis was performed. Microarray analysis demonstrated that HS6ST2 was upregulated (>12-fold) in GC tissues compared with that in adjacent non-tumor tissues. RT-qPCR and IHC analysis of HS6ST2 in GC tissues and adjacent non-tumor tissues confirmed the microarray data. Furthermore, a positive association was demonstrated between HS6ST2 overexpression with the depth of tumor invasion, distant metastasis, and tumor-node metastasis stage. Survival analysis revealed an association between patients with increased expression of HS6ST2 and a poor prognosis of gastric cancer. Cox regression analysis indicated that the expression of HS6ST2 was an independent negative prognostic factor for GC. The expression of HS6ST2 in GC was significantly associated with specific clinicopathological parameters and prognosis of disease, thus we propose that HS6ST2 may represent a novel biomarker for GC.