Far Upstream Element-Binding Protein 1 (FUBP1) is Overexpressed in Human Gastric Cancer Tissue Compared to Non-Cancerous Tissue

Onkologie ◽  
2013 ◽  
Vol 36 (11) ◽  
pp. 3-3 ◽  
Author(s):  
Fucheng Zhang ◽  
Qin Tian ◽  
Yaojun Wang
2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 61-61
Author(s):  
Masanori Terashima ◽  
Masatoshi Kusuhara ◽  
Junya Kondo ◽  
Masanori Tokunaga ◽  
Yutaka Tanizawa ◽  
...  

61 Background: In order to explore carcinogenic and prognostic biomarkers for gastric cancer, genomic, transcriptomic and proteomic approach had been extensively investigated. However, little information is possible for metabolomics profiles in gastric cancer. As cancer cells demonstrates distinguishable growth pattern from normal cells, presence of specific metabolic pathway in cancer cells is expected. Therefore, we investigated the metabolme profiles of gastric cancer tissue by capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS). Methods: Twenty seven patients with gastric cancer underwent gastrectomy were enrolled in this study. Cancer tissue and adjacent non-cancerous tissue were obtained from surgically resected sample and immediately frozen. Frozen tissues were homogenized and then applied to CF-TOFMS.The metabolomics data by CE-TOFMS were analyzed using principal component analysis (PCA) in order to compare the metabolic profiling of the non cancerous and the cancer tissues. Correlation between metabolic profile and clinicopathologic factors were also investigated. Results: A total of 245 metabolites were detected and quantified. In PCA, the first component separated the cancer tissue data from the non-cancerous tissue data. Metabolic data from cancer tissues showed severe heterogeneity. PCA based on the difference between cancer tissue and non-cancerous tissue revealed that metabolic profile of gastric cancer was classified into two groups. One cancer group (group 1) accumulated lactate and most amino acids excessively, and another group (group 2) didn’t. In group 1, the adenylate energy charge of the cancer tissues was maintained compared to that of the non-cancerous tissues.In comparison with clinicopathologic factors, only histological type demonstrated significant correlation with metabolic classification. Undifferentiated type was significantly predominant in group 2. Conclusions: Gastric cancer was classified into two groups by quantitative metabolome profiling. As this classification significantly correlated with histological type, existence of specific metabolic pathway related to histological type is suggested.


2004 ◽  
Vol 95 (10) ◽  
pp. 803-809 ◽  
Author(s):  
Takao Inoue ◽  
Hiroaki Kataoka ◽  
Kouichiro Goto ◽  
Koki Nagaike ◽  
Ko Igami ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Changlu Gao ◽  
Qian Zhang ◽  
Deyang Kong ◽  
Di Wu ◽  
Changlei Su ◽  
...  

Mass spectrometry (MS) enables rapid and sensitive qualitative and quantitative analyses of biomolecules (proteins, peptides, oligosaccharides, lipids, DNA, and RNA), drugs, and metabolites. MS has become an essential tool in modern biomedical research, including the analysis of DNA methylation. DNA methylation has been reported in many cancers, suggesting that it can be utilized as an early biomarker to improve the early diagnosis rate. Using matrix-assisted laser desorption/ionization time-of-flight MS and MassCLEAVE reagent, we comparedNell-1hypermethylation levels among tumor tissues, paracarcinoma tissues, and normal tissues from gastric cancer patients. Almost 80% of the CpG sites in the amplicons produced were covered by the analysis. Our results indicate a significant difference in methylation status between gastric cancer tissue (a higher level) and normal tissue. The same trend was identified in gastric cancer tissue versus paracarcinoma tissue. We also detected lower relative expression ofNell-1by real-time PCR. Furthermore, immunohistochemical analyses revealed thatNell-1staining was less intense in cancer tissue relative to normal tissue and that the tumor cells had spread to the muscle layer. These findings may serve as a guide for the early diagnosis of gastric cancer.


Oncotarget ◽  
2017 ◽  
Vol 8 (49) ◽  
pp. 86240-86252 ◽  
Author(s):  
Yi Gao ◽  
Shui-Ping Yin ◽  
Xu-Shi Xie ◽  
Dan-Dan Xu ◽  
Wei-Dong Du

2020 ◽  
Author(s):  
Tailai An ◽  
Qian Liang ◽  
Tengfei Hao ◽  
Lingna Deng ◽  
Xiaofang Lu ◽  
...  

Introduction: ACP5 plays crucial roles in multiple pathological processes, including the genesis and progression of malignant tumors. We performed this study with the purpose of determining whether ACP5 is a crucial biomarker significantly related with prognoses of gastric cancer (GC) patients. Methods: The expression level of ACP5 level was assessed among 170 gastric cancer specimens using immunohistochemistry (IHC). The associations between ACP5 expression and clinicopathological variables were evaluated. Univariate and multivariate Cox regression analyses were performed to confirm independent prognostic factors for GC patients. Results: It was revealed that ACP5 expression level in gastric cancer tissue was significantly associated with depth of invasion (P=0.029), and TNM stage (P=0.036). ACP5 was demonstrated by multivariate Cox regression analysis to be an independent prognostic factor for overall survival (OS) (P=0.001) and recurrence-free survival (RFS) (P=0.011) of GC patients. Conclusions: The expression of ACP5 in GC tissue was significantly higher than that in normal tissues and its overexpression was associated with a poorer prognosis, suggesting its potential roles in preventing and treating GC.


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