It has been known that differential expression of long non-coding RNA (lncRNA) plays critical roles in carcinogenesis. However, the significance of lncRNA, especially long intergenic ncRNA (lincRNA, the main type of lncRNA family), in the diagnosis of gastric cancer is largely unknown. The aim of this study was to determine the expression level of LINC00152, a newfound lincRNA, in gastric carcinoma and its clinical association. The expression of LINC00152 in 71 pairs of tumorous and adjacent normal tissues from patients with gastric cancer was detected by quantitative real-time reverse transcription-polymerase chain reaction. And then, the potential associations between its level in gastric cancer tissue and the clinicopathological features were analyzed. Finally, a receiver operating characteristic (ROC) curve was constructed for differentiating patients with gastric cancer from patients with benign gastric diseases. The results showed that the expression level of LINC00152 in gastric carcinoma was significantly increased, compared with matched normal tissue (P=0.045) and normal mucosa from health control (P=0.004), respectively. Levels of LINC00152 in gastric cancer cell lines, BGC-823, MGC-803, and SGC-7901, were significantly higher than those in human normal gastric epithelial cell line GES-1. In addition, high expression of LINC00152 was correlated with invasion (P=0.042). LINC00152 levels in gastric juice from patients with gastric cancer were further found significantly higher than those from normal controls (P=0.002). Moreover, the area under the ROC curve (AUC) was up to 0.645 (95 % CI=0.559-0.740, P=0.003). This study highlights that lincRNA LINC00152 might be a novel biomarker for predicting gastric cancer.
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http://dx.doi.org/10.1007/s13277-014-1709-3 | DOI Listing |
JCO Precis Oncol
January 2025
Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Purpose: Fibroblast growth factor receptor 2 isoform IIIb (FGFR2b) protein overexpression is an emerging biomarker in gastric cancer and gastroesophageal junction cancer (GC). We assessed FGFR2b protein overexpression prevalence in nearly 3,800 tumor samples as part of the prescreening process for a global phase III study in patients with newly diagnosed advanced or metastatic GC.
Methods: As of June 28, 2024, 3,782 tumor samples from prescreened patients from 37 countries for the phase III FORTITUDE-101 trial (ClinicalTrials.
PLoS One
January 2025
Cardiovascular Outcomes Research Laboratories (CORELAB), University of California, Los Angeles, Los Angeles, CA, United States of America.
Purpose: Patients with chronic kidney disease (CKD) and end-stage renal disease (ESRD) have been noted to face increased cancer incidence. Yet, the impact of concomitant renal dysfunction on acute outcomes following elective surgery for cancer remains to be elucidated.
Methods: All adult hospitalizations entailing elective resection for lung, esophageal, gastric, pancreatic, hepatic, or colon cancer were identified in the 2016-2020 National Inpatient Sample.
QJM
January 2025
Peking University Traditional Chinese Medicine Clinical Medical School (Xiyuan), Peking University Health Science Center, Beijing, 100091, China.
Autoimmune gastritis (AIG) is a chronic inflammatory condition characterized by immune-mediated destruction of gastric parietal cells, leading to oxyntic atrophy, achlorhydria, and hypergastrinemia. While AIG was historically linked to gastric adenocarcinoma and type I neuroendocrine tumors (NETs), recent evidence suggests the risk of adenocarcinoma in AIG is lower than previously believed, particularly in Helicobacter pylori (H. pylori)-negative patients.
View Article and Find Full Text PDFCancer Rep (Hoboken)
January 2025
Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran.
Background: The breakthrough discovery of novel biomarkers with prognostic and diagnostic value enables timely medical intervention for the survival of patients diagnosed with gastric cancer (GC). Typically, in studies focused on biomarker analysis, highly connected nodes (hubs) within the protein-protein interaction network (PPIN) are proposed as potential biomarkers. However, this study revealed an unexpected finding following the clustering of network nodes.
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