Trial reportJournal of proteomics2015
Identification of differentially expressed serum proteins in gastric adenocarcinoma.
Trial report in Journal of proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Evaluation and Monitoring of Superoxide Dismutase (SOD) Activity and its Clinical Significance in Gastric Cancer: A Systematic Review and Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019Pooled it
- Article
- Urinary metabolomics and proteomics for early detection of gastric cancer: insights from a two-center multicenter study.Frontiers in oncology · 2026Article
- Circulating Proteins as Diagnostic Markers in Gastric Cancer.International journal of molecular sciences · 2023Review
- Urinary Proteomics for Discovery of Gastric Cancer Biomarkers to Enable Precision Clinical Oncology.Omics : a journal of integrative biology · 2023Article
- Review
- Gastric Cancer Pre-Stage Detection and Early Diagnosis of Gastritis Using Serum Protein Signatures.Molecules (Basel, Switzerland) · 2022Article
- Data-independent acquisition mass spectrometry identification of extracellular vesicle biomarkers for gastric adenocarcinoma.Frontiers in oncology · 2022Article
- The Role of Omics Approaches to Characterize Molecular Mechanisms of Rare Ovarian Cancers: Recent Advances and Future Perspectives.Biomedicines · 2021Review
- Serum Levels of Androgens, Estrogens, and Sex Hormone Binding Globulin and Risk of Primary Gastric Cancer in Chinese Men: A Nested Case-Control Study.Cancer prevention research (Philadelphia, Pa.) · 2021Observational
- Association between Venom Immunotherapy and Changes in Serum Protein-Peptide Patterns.Vaccines · 2021Article
- Silencing PRSS1 suppresses the growth and proliferation of gastric carcinoma cells via the ERK pathway.International journal of biological sciences · 2021Article
- Review
- Identification of Molecular Network Associated with Neuroprotective Effects of Yashtimadhu (ACS omega · 2020Article
- Effects ofTranslational cancer research · 2020Article
- Serum proteome profiling reveals SOX3 as a candidate prognostic marker for gastric cancer.Journal of cellular and molecular medicine · 2020Article
- CusVarDB: A tool for building customized sample-specific variant protein database from next-generation sequencing datasets.F1000Research · 2020Article
- Proteomic features characterization ofAllergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2019Article
- Plasma long noncoding RNAs PANDAR, FOXD2-AS1, and SMARCC2 as potential novel diagnostic biomarkers for gastric cancer.Cancer management and research · 2019Article
- SEPROGADIC - serum protein-based gastric cancer prediction model for prognosis and selection of proper adjuvant therapy.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 6 institutions in 2 countries.
Funding
Abstract
Gastric adenocarcinoma is an aggressive cancer with poor prognosis. Blood based biomarkers of gastric cancer have the potential to improve diagnosis and monitoring of these tumors. Proteins that show altered levels in the circulation of gastric cancer patients could prove useful as putative biomarkers. We used an iTRAQ-based quantitative proteomic approach to identify proteins that show altered levels in the sera of patients with gastric cancer. Our study resulted in identification of 643 proteins, of which 48 proteins showed increased levels and 11 proteins showed decreased levels in serum from gastric cancer patients compared to age and sex matched healthy controls. Proteins that showed increased expression in gastric cancer included inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), Mannose-binding protein C (MBL2), sex hormone-binding globulin (SHBG), insulin-like growth factor-binding protein 2 (IGFBP2), serum amyloid A protein (SAA1), Orosomucoid 1 (ORM1) and extracellular superoxide dismutase [Cu-Zn] (SOD3). We used multiple reaction monitoring assays and validated elevated levels of ITIH4 and SAA1 proteins in serum from gastric cancer patients. BIOLOGICAL SIGNIFICANCE: Gastric cancer is a highly aggressive cancer associated with high mortality. Serum-based biomarkers are of considerable interest in diagnosis and monitoring of various diseases including cancers. Gastric cancer is often diagnosed at advanced stages resulting in poor prognosis and high mortality. Pathological diagnosis using biopsy specimens remains the gold standard for diagnosis of gastric cancer. Serum-based biomarkers are of considerable importance as they are minimally invasive. In this study, we carried out quantitative proteomic profiling of serum from gastric cancer patients to identify proteins that show altered levels in gastric cancer patients. We identified more than 50 proteins that showed altered levels in gastric cancer patient sera. Validation in a large cohort of well classified patient samples would prove useful in identifying novel blood based biomarkers for gastric cancers. This article is part of a Special Issue entitled: Proteomics in India.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.