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Identification of platinum-resistance related small GTPase binding signatures to predict the prognosis of ovarian cancer by machine learning and integrated bioinformatic analyses

2024-05-07

Abstract excerpt

<title>Abstract</title> <p>Background High grade serous ovarian cancer (HGSOC) had high lethality due to its high relapse rate and acquired drug resistance. The tumor immune microenvironment (TIME) of HGSOC was heterogeneous, and mostly immune cold. We aimed to build the bridge between platinum-resistance related signatures and patient overall survival (OS). Methods The RNA sequencing data from GSE160626 was us...

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Literature Corpus work
782e12c8-7fa1-52b1-a8d6-593408456bad
DOI
10.21203/rs.3.rs-4336933/v1
Open publication

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Identification of platinum-resistance related small GTPase binding signatures to predict the prognosis of ovarian cancer by machine learning and integrated bioinformatic analysesDOI 10.21203/rs.3.rs-4336933/v1
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