2022
DOI: 10.3389/fgene.2022.1055202
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Construction and validation of a novel and superior protein risk model for prognosis prediction in esophageal cancer

Abstract: Esophageal cancer (EC) is recognized as one of the most common malignant tumors in the word. Based on the biological process of EC occurrence and development, exploring molecular biomarkers can provide a good guidance for predicting the risk, prognosis and treatment response of EC. Proteomics has been widely used as a technology that identifies, analyzes and quantitatively acquires the composition of all proteins in the target tissues. Proteomics characterization applied to construct a prognostic signature wil… Show more

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