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Predicting GD2 expression across cancer types by the integration of pathway topology and transcriptome data

2025-05-24

Abstract excerpt

The disialoganglioside GD2 is a key cancer therapy target due to its overexpression in several cancer types and limited expression in normal tissues. We developed a computational framework integrating reaction activity scores derived from transcriptomic data with glycosphingolipid biosynthesis pathway to predict GD2 expression. We labeled specific reactions as GD2-promoting or -mitigating, and used their cumulativ...

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Identifiers and source

Literature Corpus work
25ca4c5a-bda8-5d45-b952-24d5efccc4d2
DOI
10.1101/2025.05.21.655303
Open publication

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Predicting GD2 expression across cancer types by the integration of pathway topology and transcriptome dataDOI 10.1101/2025.05.21.655303
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