ArticleThe American journal of pathology2011
Protein signatures for classification and prognosis of gastric cancer a signaling pathway-based approach.
Article in The American journal of pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Protein profiling of preeclampsia placental tissues.PloS one · 2014Trial
- Novel Biomaterials Based Strategies for Neurodegeneration: Recent Advancements and Future Prospects.Current drug delivery · 2024Review
- Alterations of Signaling Pathways in Essential Thrombocythemia with Calreticulin Mutation.Cancer management and research · 2021Article
- Lidocaine alleviates cisplatin resistance and inhibits migration of MGC-803/DDP cells through decreasing miR-10b.Cell cycle (Georgetown, Tex.) · 2020Article
- Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry.Oncology letters · 2020Article
- Protein expression profiles and clinicopathologic characteristics associate with gastric cancer survival.Biological research · 2019Article
- Serum metabolomic profiling of human gastric cancer and its relationship with the prognosis.Oncotarget · 2017Article
- Article
- Serum biomarker panels for diagnosis of gastric cancer.OncoTargets and therapy · 2016Article
- Protein Profiling of Bladder Urothelial Cell Carcinoma.PloS one · 2016Article
- Reduced expression of AMPK-β1 during tumor progression enhances the oncogenic capacity of advanced ovarian cancer.Molecular cancer · 2014Article
- Protein signature for non-small cell lung cancer prognosis.American journal of cancer research · 2014Article
- Pathway-based analysis of breast cancer.American journal of translational research · 2014Article
- Long chain fatty Acyl-CoA synthetase 4 is a biomarker for and mediator of hormone resistance in human breast cancer.PloS one · 2013Article
- Regulation of a novel androgen receptor target gene, the cyclin B1 gene, through androgen-dependent E2F family member switching.Molecular and cellular biology · 2012Article
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Authors and funding
16 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current methods have limited accuracy in predicting survival and stratifying patients with gastric cancer for appropriate treatment. We sought to identify protein signatures of gastric cancer for classification and prognostication. The Protein Pathway Array (initial study) and Western blot (confirmation) were used to assess the protein expression in a total of 199 fresh frozen gastric samples. There were 56 paired samples divided into a training set (n = 37) and a validation set (n = 19) for the identification of differentially expressed proteins between tumor and normal tissues. There were 56 tumor samples used to identify proteins correlating with tumor and nodal staging. All 93 tumor samples were used to identify candidate proteins for predicting survival. We confirmed the survival prediction of the candidate proteins by using an additional cohort of gastric cancer samples (n = 50). There were 22 proteins differentially expressed between normal and tumor tissues. Nine proteins were selected to build the predictor to classify normal and tumor samples. Ten proteins were differentially expressed among different T stages and four of these were associated with invasive behavior. An additional four proteins were associated with lymph node metastasis. Two proteins were identified as independent risk factors for overall survival. This study indicated that some dysregulated signaling proteins could be selected as useful biomarkers for tumor classification and predicting outcome in gastric cancer patients.
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