Article
Identification of a Glycolysis-Related Gene Signature For Survival Prediction of Ovarian Cancer Patients
2021-01-14
Abstract excerpt
<title>Abstract</title> <p><bold>Background: </bold>Ovarian cancer (OV) is deemed as the most lethal gynecological cancer in women. The aim of this study was construct an effective gene prognostic model for OV patients.<bold>Methods: </bold>The expression profiles of glycolysis-related genes (GRGs) and clinical data of patients with OV were extracted from The Cancer Genome Atlas (TCGA) database. Univariate, multi...
Topics
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- Ovarian cancer diagnosis and treatment
- Bioinformatics and Genomic Networks
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Endometrial and Cervical Cancer Treatments
- Ferroptosis and cancer prognosis
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
Identifiers and source
- Literature Corpus work
- 4f2a622a-43e0-5805-9d47-cbe7d80bb759
- DOI
- 10.21203/rs.3.rs-143383/v1
