The prognostic impact of GATA4 has been suggested in previously published independent EAC cohort 16 , although it did not reach statistical significance after FDR correction, and SMAD4 expression loss has been previously linked to poor prognosis in EAC 38 .
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The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic.
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These complementary methods produced highly significant agreement in calling EAC driver genes, particularly within the same feature-type ( Supplementary Fig. 2 ), and on average more than half of the genes identified by one feature were also identified by other features ( Fig. 1b ).