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Investigating Combined Hypoxia and Stemness Indices for Prognostic Transcripts in Gastric Cancer: Machine Learning and Network Analysis Approaches

2024-06-30

Abstract excerpt

<h4>Introduction</h4> Gastric cancer (GC) is among the deadliest malignancies globally, characterized by hypoxia-driven pathways that promote cancer progression, including mechanisms associated with stemness facilitating invasion and metastasis. This study aimed to develop a prognostic decision tree using genes implicated in hypoxia and stemness pathways to predict outcomes in GC patients. <h4>Material and Method...

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Literature Corpus work
7141fc49-b5c5-5ba0-b9e7-71731ab9758b
DOI
10.1101/2024.06.26.600775
Open publication

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Investigating Combined Hypoxia and Stemness Indices for Prognostic Transcripts in Gastric Cancer: Machine Learning and Network Analysis ApproachesDOI 10.1101/2024.06.26.600775
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