Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0024623 (gastric cancer)
36,219 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) is one of thecurrently used techniques to identify biomarkers for cancers. This study was planned to establish a system to accurately distinguish gastric cancer patients by using SELDI-TOF-MS. A total of 100 serum samples obtained from 60 individuals with gastric cancer and 40 healthy individuals were screened. Protein expression profiles were expressed on CM10 ProteinChip arrays and analyzed. Peak intensities were analyzed with the Biomarker Wizard software to identify peaks showing significantly different intensities between normal and cancer groups. Classification analysis and construction of decision trees were done with the Biomarker Pattern software 5.0. Seventeen protein peaks showed significant differences between the two groups. The decision tree which gave the highest discrimination included four peaks at mass 5,919, 8,583, 10,286, and 13,758 as splitters. The sensitivity and specificity for classification of the decision tree were 96.7% (58/60) and 97.5% (39/40), respectively. When the protein biomarker pattern was tested on a blinded test set, it yielded a sensitivity of 93.3% (28/30) and a specificity of 90% (18/20). These results suggest that serum protein profiling by the SELDI system may distinguish gastric cancer patients from healthy controls with relatively high sensitivity and specificity.
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PMID:Diagnostic application of serum proteomic patterns in gastric cancer patients by ProteinChip surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. 1816 59

Multidrug resistance (MDR) is a major obstacle to successful cancer treatment. To understand the mechanism of MDR better, a subcelluar proteomics approach was used to compare the protein profile between vincristine-resistant human gastric cancer cell line SGC7901/VCR and its parental cell line SGC7901. After differential solubilization, the subfractionation proteins were separate by two-dimensional gel electrophoresis (2-DE), and the differential protein spots were identified by both MALDI-TOF-MS and ESI-Q-TOF-MS. Then the differential expressional levels of partial identified proteins were determined by Western blot analysis. Furthermore, one of the highly expressed proteins in SGC7901/VCR, Sorcin, associated with MDR was analyzed. In this study, the well-resolved, reproducible 2-DE patterns of subfractionation proteins from SGC7901/VCR and SGC7901 were established, and 30 differential proteins between the two cell lines were identified. The functional validation showed that the elevated sorcin expression could contribute considerably to the vincristine resistance in SGC7901/VCR. The 30 differentially expressed proteins could be divided into six groups based on their functions: calcium binding proteins, chaperones, metabolic enzymes, proteins relative to signal transduction, proteins involved in transcription and translation, and transportation proteins, and most of them might be new MDR associated proteins, which have not been detected previously. These data will be valuable for further to study the mechanisms of MDR in human gastric cancer.
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PMID:A subcelluar proteomic investigation into vincristine-resistant gastric cancer cell line. 1825 33

Taking advantage of efficient affinity extraction by surface-functionalized magnetic nanoparticles (MNPs) and accurate MALDI-TOF MS readout, we present a multiplexed immunoassay for simultaneous enrichment and quantitation of multiple disease-associated antigens, serum amyloid A (SAA), C-reactive protein (CRP), and serum amyloid P (SAP) from human serum. To obtain reproducible MALDI signal response with direct on-MNP detection, the seed-layer method improved homogeneity of the cocrystallization of MNPs and captured antigens. Our methodology demonstrated good quantitation linearity of targeted analytes (R(2) approximately 0.97) with reduced signal variation (RSD < 10%). The lower limit of quantitation is in the nanogram level with overall assay precision (intraday, 7.0%; interday, 11.3%) and accuracy (intraday, 6.3%; interday, 17.5%) including steps of nanoprobe extraction and MALDI-TOF MS analysis. This triplexed immunoassay showed overexpression of SAA and CRP in patients with cardiac catheterization or gastric cancer (P < 0.05), consistent with single-analyte ELISA and previous studies. Compared to the determination of disease onset by single protein quantitation, our multiplexed immunoassay revealed a distinct triplexed pattern in the control group, patients with gastric cancer, and cardiac catheterization. On the basis of the advantages of flexibility in nanoprobe preparation, high specificity and sensitivity, and rapid screening by MALDI-TOF MS, this platform may provide a new methodology for disease diagnosis.
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PMID:Multiplexed immunoassay: quantitation and profiling of serum biomarkers using magnetic nanoprobes and MALDI-TOF MS. 1864 77

Gastric cancer is one of the most common malignancies in China. So far, there are few reliable serum biomarkers for diagnosis. The available biomarkers of CEA, CA19-9 and CA72-4 are not sufficiently sensitive and specific for gastric cancer. In this study, a high density antibody microarray was used for identifying new biomarkers from serum samples of gastric cancer. Serum samples from colorectal cancer, pancreatic cancer, hepatocellular cancer, and breast cancer were also screened for comparative study. As result, some candidate biomarkers were identified. IPO-38, an up-regulated serum protein in gastric cancer was selected for subsequent validation including serum IPO-38 expression by ELISA and IPO-38 protein expression by immunohistochemistry. The immunoprecipitation by IPO-38 for gastric cancer cell line and MALDI-TOF/TOF mass spectrometer suggested that pull-down of IPO-38 belongs to H2B histone, which was supported by co-localization study of laser scanning confocal microscope. A follow-up study showed that the survival rate of IPO-38 negative group was better than that in IPO-38 positive group. The study first clarified the property of IPO-38 proliferating marker, and proposed that IPO-38 protein is a promising biomarker both for diagnosis and for predicting prognosis of gastric cancer.
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PMID:IPO-38 is identified as a novel serum biomarker of gastric cancer based on clinical proteomics technology. 1868 Mar 56

Gastric cancer is the second most common cancer worldwide and has a poor prognosis. To determine the mechanism of adaptation to metabolic stress in cancer cells, we used gastric cancer as a model system to reveal the potential signaling pathways involved. Two-dimensional polyacrylamide gel electrophoresis coupled with ESI-Q-TOF MS/MS analysis was used to identify differentially expressed proteins between gastric tumor tissues and the corresponding noncancerous tissues. In total, 107 spots with significant alteration (+/-over 2-fold, p < 0.05) were positively identified by MS/MS analysis. Altered expression of representative proteins was validated by RT-PCR and Western blotting. Cluster analysis of the changed proteins revealed an interesting group of metabolic proteins, which suggested accumulation of triiodothyronine (T(3); the major functional component of thyroid hormone) and overexpression of hypoxia-induced factor (HIF) in gastric carcinoma. These observations were further confirmed by electrochemiluminescence immunoassay and immunohistochemistry. T(3)-induced expression of HIF1-alpha and vascular endothelial growth factor was further verified using a gastric cancer cell line and in vivo mouse model. Because the early accumulation of HIF1-alpha was found to be independent of de novo transcription, we also found that the cytosolic cascade phosphatidylinositol 3-kinase/Akt pathway sensitive to T(3) stimulus was involved. Furthermore we demonstrated that T(3)-induced overexpression of HIF1-alpha was mediated by fumarate accumulation and could be enhanced by fumarate hydratase inactivation but inhibited by 2-oxoglutarate. These results provide evidence for alteration of metabolic proteins and dysfunction of thyroid hormone regulation in gastric tumors, and a novel thyroid hormone-mediated tumorigenic signaling pathway is proposed. Our findings are considered a significant step toward a better understanding of adaptations to metabolic stress in gastric carcinogenesis.
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PMID:Mechanism of cancer cell adaptation to metabolic stress: proteomics identification of a novel thyroid hormone-mediated gastric carcinogenic signaling pathway. 1872 43

The present study aimed to describe the characterization of an antibody MGb2 that reacts with an epitope on gastric cancer cells, and identification of MGb2 antigen (MGb2-Ag). Immunostaining revealed its distribution in human tissues and demonstrated that the positive rate of MGb2-Ag was 81.48% in gastric cancer, 100% in gastric signet-ring cell carcinoma and mucinous adenocarcinoma, 13.16% in precancerous conditions, and 0% in chronic superficial gastritis. Using Western blotting, immunoprecipitation and MALDI-TOF MS (matrix assisted laser desorption/ionization time-of-flight mass spectrometry), MGb2-Ag was identified as TRAK1 (Trafficking protein, kinesin-binding 1), a new molecular gained limited recognition. Both MGb2 and commercial anti-TRAK1 Ab recognized prokaryotic expressed TRAK1. Immunostaining characteristics of TRAK1 were identical with MGb2-Ag in continuous sections of paraffin-embedded tissues of gastric tissues. This is the first report that TRAK1/MGb2-Ag is a promising diagnostic marker for gastric cancer and may help to detect signet-ring cell carcinoma and mucinous adenocarcinoma.
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PMID:Identification of TRAK1 (Trafficking protein, kinesin-binding 1) as MGb2-Ag: a novel cancer biomarker. 1898 59

Protein patterns of 129 Helicobacter pylori strains isolated from Korean and Colombian patients suffering from duodenal ulcer or gastric cancer were analyzed by the high-throughput methodology SELDI-TOF-MS. Eighteen statistically significant candidate biomarkers discriminating between the two clinical outcomes were selected by using the Mann-Whitney test. Three biomarker proteins were purified and identified as a neutrophil-activating protein NapA (HU HPAG1_0821), a RNA-binding protein (HPAG1_0813), and a DNA-binding histone-like protein HU, respectively (jhp0228). These novel biomarkers can be used for development of diagnostic assays predicting the evolution to gastric cancer in H. pylori-infected patients.
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PMID:Proteomic Helicobacter pylori biomarkers discriminating between duodenal ulcer and gastric cancer. 1932 50

Gastric cancer is the second most common fatal malignancy in the world. Proteomics studies of clinical tumor samples have led to the identification of specific protein markers of gastric cancer detection and better understanding the carcinogenesis of gastric cancer. Gastric cancer tissue of epithelial origin and adjacent normal mucosa were examined in pair by fluorescence 2-D differential in-gel electrophoresis proteomics analysis utilizing 2-D PAGE protein separation. Intensity changes of 33 spots were detected with statistical significance. Twenty-two out of the 33 spots were identified by MALDI-TOF MS or MS/MS. Of the 9 up-regulated proteins, 7 were identified, including heat shock protein 60 (HSP60), mutant desmin, effector cell proteinase receptor 1 splice form 1b, hypothetical protein, unnamed protein product, and manganese superoxide dismutase (MnSOD), a protein similar to alpha-actin. Of the 20 down-regulated proteins, 16 were identified, including selenium binding protein 1, fibrinogen gamma, HSP27, tubulin alpha 6, zinc finger protein 160, prostaglandin F synthase, and eukaryotic translation elongation factor 1 alpha 1. Our results suggest that MnSOD may be a potential serum marker for molecular diagnosis of gastric carcinoma, and DIGE is a useful technique for screening differentially expressed proteins in cancer tissues.
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PMID:Two-dimensional differential in-gel electrophoresis for identification of gastric cancer-specific protein markers. 1942 20

Identification of novel tumor-related antigens and autoantibodies will lead to early diagnosis of cancer and the development of more effective immunotherapies. The purpose of this study was to identify novel tumor antigens from the gastric cancer cell lines MkN-1, MkN-45 and KATOIII, and their related autoantibodies in sera of patients with gastric cancer using a proteomics-based approach. Proteins from the gastric cancer cell lines (MkN-1, MkN-45 and KATOIII) were separated by two-dimensional polyacrylamide gel electrophoresis, followed by Western blotting and antibody reaction with sera from patients with gastric cancer, healthy individuals and patients with other cancers. Positive spots were excised from Coomassie blue stained gels and analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/TOF MS). Sera from patients with gastric cancer yielded multiple spots, one of which was identified as the 78 kDa glucose-regulated protein (GRP78) by MALDI-TOF/TOF MS. Western blots against recombinant GRP78 showed reactivity in sera from 17/60 (28.3%) patients with gastric cancer and 0/20 (0.0%) of healthy individuals. Autoantibodies against GRP78 were found in 4/15 (26.7%) and 3/15 (20.0%) patients with esophageal and colon cancer, respectively. We identified for the first time an autoantibody against GRP78 in gastric cancer patients. The proteomic approach implemented in this study offers a powerful tool for identifying novel serum markers that may display clinical usefulness in cancer.
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PMID:Proteomics-based identification of a tumor-associated antigen and its corresponding autoantibody in gastric cancer. 2020 78

Early diagnosis and early treatment is known to improve prognosis for gastric cancer. Magnetic affinity beads can be used to extract peptides from un-fractionated serum samples. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) can detect the presence and the molecular mass of peptides. MALDI-TOF-MS mass spectra of peptides and proteins were generated after WCX CLINPROT bead fractionation of 62 gastric cancer serum samples. The discovery set consisted of 44 samples while the validation set was 18 serum samples. The spectra were analyzed statistically using flexAnalysisTM and Clin-ProtTM bioinformatic software. The six most significant peaks were selected out by ClinProTool software and utilized to train a Supervised Neural Network to identify gastric cancer sera from control sera. The sensitivity and specificity of the model when tested on the validation set were 100% and 75%, respectively. A set of 6 peptides that can be used to distinguish serum from gastric cancer patients with good sensitivity and specificity were identified, and these peptides may be useful biomarkers to distinguish cancer individuals who may benefit from radiologic or endoscopic examination.
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PMID:Identification of novel serum biomarkers for gastric cancer by magnetic bead. 2051 67


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