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Protein expression profiles and clinicopathologic characteristics associate with gastric cancer survival.

Biol Res. 2019; 
Li W,, Chen Y, Sun X, Yang J, Zhang DY, Wang D, Suo J,.
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Monoclonal Antibody Services Clustering analysis results were displayed in TreeView Table 2 Antibodies used for immunohistochemistry Antibody p-PKCα p-PKCα/β2 Akt1 CDK6 Notch4 β-Catenin CDK2 PCNA XIAP Dilution Clonality Source 1:100 1:50 1:100 1:200 1:200 1:50 1:50 1:200 1:200 Monoclonal Polyclonal Polyclonal Polyclonal Polyclonal Polyclonal Polyclonal Monoclonal Polyclonal Abcam Abcam Abcam Santa Cruz Santa Cruz GenScript Invitrogen BioLegend BioLegend software [25]. Get A Quote

摘要

Prognosis remains one of most crucial determinants of gastric cancer (GC) treatment, but current methods do not predict prognosis accurately. Identification of additional biomarkers is urgently required to identify patients at risk of poor prognoses.,Tissue microarrays were used to measure expression of nine GC-associated proteins in GC tissue and normal gastric tissue samples. Hierarchical cluster analysis of microarray data and feature selection for factors associated with survival were performed. Based on these data, prognostic scoring models were established to predict clinical outcomes. Finally, ingenuity pathway analysis (IPA) was used to identify a biological GC network.,Eight proteins were upregulated i... More

关键词

Gastric cancer; Immunohistochemistry; Pathway; Protein expression profiling; Tissue microarray