Association of Coagulation factor V () polymorphisms with the occurrence of many types of cancers has been widely reported, but whether it is of prognostic relevance in some cancers remain to be resolved. The RNA-sequencing dataset was downloaded from The Cancer Genome Atlas (TCGA). The potential of genes to predict the survival time of gastric cancer (GC) patients was investigated using univariate and multivariate survival analysis whereas "Kaplan-Meier plotter" (KM-plotter) online tools were employed to validate the outcomes. TCGA data revealed that levels were significantly upregulated in gastric cancer samples. Survival analysis confirmed that high levels of correlated with short overall survival (OS) in gastric cancer patients, and the area under the curve (AUC) values of 1-, 2-, and 5-year OS rate were 0.554, 0.593, and 0.603, respectively. Survival analysis by KM-plotter indicated that the high expression of was significantly associated with a shorter OS compared with the low expression level in all patients with GC, and this was also the case for patients in stage III (hazard ratio (HR) = 1.78, = 0.017). These findings suggest that the gene is significantly upregulated in GC tumour tissues, and may be a potential prognostic biomarker for GC.
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http://dx.doi.org/10.1155/2020/9280841 | DOI Listing |
Surg Today
January 2025
Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Purpose: To investigate the effect of preoperative prealbumin levels on long-term survival outcomes after gastrectomy in patients with gastric cancer (GC) dichotomized based on age.
Methods: This retrospective cohort study included consecutive patients who underwent radical gastrectomy for primary stage I-III GC between May 2006 and March 2017. Patients were allocated to groups based on age (≥ 70 or < 70 years) and subgroups based on prealbumin levels (high, ≥ 22 mg/dL; moderate, 15-22 mg/dL; or low, < 15 mg/dL), and multivariate Cox regression was used for survival analyses.
J Pathol Clin Res
January 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, PR China.
CXC chemokine receptor 4 (CXCR4) and programmed cell death-ligand 1 (PD-L1) are two critical molecules involved in the tumor immune microenvironment. However, the impact of platinum drugs, such as cisplatin, on CXCR4 or PD-L1 expression and the underlying mechanisms in gastric cancer (GC) remain unknown. Moreover, the correlation between their expression levels in GC remains elusive.
View Article and Find Full Text PDFLife Sci Alliance
April 2025
https://ror.org/0220qvk04 Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
A pangenome is the sum of the genetic information of all individuals in a species or a population. Genomics research has been gradually shifted to a paradigm using a pangenome as the reference. However, in disease genomics study, pangenome-based analysis is still in its infancy.
View Article and Find Full Text PDFGastrointest Endosc
January 2025
Department of Gastroenterology and Hepatology, University of Arkansas for Medical Sciences. Little Rock, Arkansas, USA.
Background And Aims: Malignant gastric outlet obstruction (MGOO) is an unfortunate complication of advanced upper gastrointestinal malignancies. Historically, surgical gastrojejunostomy has been the procedure of choice to achieve enteral bypass. Recently, endoscopic techniques have gained popularity in the management of MGOO.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Radiology, Xinhua Hospital, Shanghai Jiaotong University Medical School, Shanghai 200092, China (Z.H.W., Y.Q.M., X.Y.W., N.X.Y., X.Y.W., G.R.). Electronic address:
Rationale And Objectives: The expression of human epidermal growth factor receptor 2 (HER2) in gastric cancer is closely associated with its treatment outcomes and prognosis. This study aims to develop and validate a HER2 prediction model based on computed tomography (CT). Additionally, the study evaluates the robustness of the proposed model.
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