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Integrative Multi-Omics and Machine Learning Approach Reveals Tumor Microenvironment-Associated Prognostic Biomarkers in Ovarian Cancer

2024-03-29

Abstract excerpt

<h4>Purpose: </h4> The main purpose of this study is to dissect the intricacies of the Tumor Microenvironment (TME) in Ovarian Cancer (OV) by analyzing its immune cell composition and gene expression profiles. We aim to investigate how TME elements influence ovarian cancer prognosis, particularly their impact on the responsiveness to immune therapy. Our goal is to enhance understanding of immune interactions in OV...

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Literature Corpus work
a1b0df88-9453-5680-bd75-f79cdbfe01d2
DOI
10.21203/rs.3.rs-4168422/v1
Open publication

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Integrative Multi-Omics and Machine Learning Approach Reveals Tumor Microenvironment-Associated Prognostic Biomarkers in Ovarian CancerDOI 10.21203/rs.3.rs-4168422/v1
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