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ncRuPAR is a newly discovered long noncoding RNA molecule that can upregulate protease-activated receptor-1 (PAR-1) during embryonic growth; however, its role in cancer has not been elucidated. Here, we conducted a study to investigate the role of ncRuPAR in gastric cancer. Significant downregulation of ncRuPAR was detected in gastric cancer tissues(More)
BACKGROUND AND AIMS To identify and validate N-glycan biomarkers in gastric cancer (GC) and to elucidate their underlying molecular mechanism of action. METHODS In total, 347 individuals, including patients with GC (gastric cancer) or atrophic gastritis and healthy controls, were randomly divided into a training group (n=287) and a retrospective(More)
BACKGROUND Increasing evidence indicated plasma D-dimer could be regarded as a marker in cancers, however, its role in gastric cancer is still largely unknown. METHODS Plasma D-dimer levels were measured by enzyme linked fluorescent immunoassays and evaluated by receiver operating characteristic (ROC) curves for peritoneal dissemination in gastric cancer(More)
In recent years, the role of long noncoding RNAs (lncRNAs) in cancer is increasingly focused. ncRuPAR is a newly detected lncRNA; in previous study, we found out that ncRuPAR could inhibit tumor progression by downregulating protease-activated receptor-1 (PAR-1), but its role in colorectal cancer (CRC) is never elucidated. Here, we conducted a self-control(More)
Increasing evidence indicated that insulin-like growth factor binding protein 7 (IGFBP7) was regarded as a potential tumor suppressor in various human cancers, but its role in gastric cancer is still largely unknown. In the present study, we performed a retrospective study which includes 247 gastric cancer patients. Among them, the IGFBP7 expression was(More)
Primary liver cancer (PLC) is one of the most common malignant tumors because of its high incidence and high mortality. Traditional Chinese medicine (TCM) plays an active role in the treatment of PLC. As the most important part in the TCM system, syndrome differentiation based on the clinical manifestations from traditional four diagnostic methods has met(More)
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