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Identification of crucial genes correlated with esophageal cancer by integrated high-throughput data analysis

15 May 2020

Abstract excerpt

BACKGROUND: Esophageal cancer (ESCA) is one of the most deadly malignancies in the world. Although the management and treatment of patients with ESCA have improved, the overall 5-year survival rate is still very poor. METHODS: The study aimed to identify potential key genes associated with the pathogenesis and prognosis of ESCA. In the study, integrated bioinformatics methods were used to screen differentially...

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PMID: 32443386
DOI: 10.1097/md.0000000000020340

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