ArticleJournal of cancer research and clinical oncology2009
Identification of prognosis-related proteins in advanced gastric cancer by mass spectrometry-based comparative proteomics.
Article in Journal of cancer research and clinical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic Value of S100P Expression in Patients With Digestive System Cancers: A Meta-Analysis.Frontiers in oncology · 2021Pooled it
- Analytical Techniques as Indicators of Biomarkers in Proteomics Cancer Diagnosis.Anti-cancer agents in medicinal chemistry · 2026Review
- S100P is a molecular determinant of E-cadherin function in gastric cancer.Cell communication and signaling : CCS · 2019Article
- Potential involvement of heat shock proteins in pancreatic-duodenal homeobox-1-mediated effects on the genesis of gastric cancer: A 2D gel-based proteomic study.World journal of gastroenterology · 2018Article
- What gastric cancer proteomic studies show about gastric carcinogenesis?Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Review
- The life and works of S100P - from conception to cancer.American journal of cancer research · 2016Review
- Tissue biomarkers of breast cancer and their association with conventional pathologic features.British journal of cancer · 2013Article
- Proteomic analysis of endoscopically (endoscopic pancreatic function test) collected gastroduodenal fluid using in-gel tryptic digestion followed by LC-MS/MS.Proteomics. Clinical applications · 2010Article
- A comparative proteomic study of nephrogenesis in intrauterine growth restriction.Pediatric nephrology (Berlin, Germany) · 2010Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objective of this study was to identify differentially expressed proteins of advanced gastric cancer from patients with different prognosis using NanoLC-MS/MS (LTQ) (nanoflow liquid chromatography system interfaced with a linear ion trap LTQ mass spectrometer).
methodsEight gastric cancer patients with relatively early TNM stage and survival time >34 months were identified as good survival (group G), while the other eight with late stage and survival time <15 months as poor survival (group P). The total protein of the tissue samples from each group was extracted and pooled together respectively. The resulting two protein mixtures were trypsin-digested and analyzed using NanoLC-MS/MS (LTQ). Database searches were done against NCBI non-redundant database and SWISS-PROT database and the identified proteins were classified through an online Web Gene Ontology Annotation Plot tool. Immunohistochemistry was used to verify candidate prognosis-related proteins.
resultsThere were 284 and 213 proteins identified for group G and group P respectively. And 117 proteins were detected exclusively in group G and 46 proteins exclusively in group P. These protein markers function in calcium ion signaling pathway, cellular metabolism, cytoskeleton formation, stress reaction, etc. Among those, the down-regulated expression of S100P was verified to claim a poor clinical outcome of gastric cancer patients (P = 0.0375).
conclusionThe MS-based proteomics approach is efficient in identifying differentially expressed proteins in relation to prognosis of advanced gastric cancer patients. These differentially expressed proteins could be potential prognosis-related cancer markers and deserve further validation and functional study.
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