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Identification and validation of a novel defined stress granule-related gene signature for predicting the prognosis of ovarian cancer via bioinformatics analysis

2024-05-07

Abstract excerpt

<title>Abstract</title> <p>Background Ovarian cancer (OC) is a malignant gynecological cancer with an extremely poor prognosis. Stress granules (SGs), nonmembrane organelles, are responses to stress stimuli. However, the correlations between SG-related genes and prognosis in OC remain unclear. Methods In this study, RNA-seq data and clinical information from GSE18520 and GSE14407 in the Gene Expression Omnibus...

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Literature Corpus work
137c0a5c-b38f-5ca5-b16d-de984d111d4a
DOI
10.21203/rs.3.rs-4327652/v1
Open publication

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Identification and validation of a novel defined stress granule-related gene signature for predicting the prognosis of ovarian cancer via bioinformatics analysisDOI 10.21203/rs.3.rs-4327652/v1
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