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A Knowledge Graph-Guided Transcriptomic Framework Identifies a 22-Gene Prognostic Signature for Cervical Cancer

2026-06-24

Abstract excerpt

<title>Abstract</title> <p>Background Current cervical cancer risk stratification relies on FIGO stage and lymph node status, tools that miss molecular heterogeneity and leave patients over- or under-treated. Conventional transcriptomic biomarker discovery uses differential expression alone, returning thousands of candidates—most of which are pan-cancer associations that lack disease specificity and fail indepen...

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Literature Corpus work
b1b6fb6f-6cd0-5c71-aca6-4adb61e28d5d
DOI
10.21203/rs.3.rs-9763198/v1
Open publication

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A Knowledge Graph-Guided Transcriptomic Framework Identifies a 22-Gene Prognostic Signature for Cervical CancerDOI 10.21203/rs.3.rs-9763198/v1
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