Article
Identification of a Glycolysis-Related Gene Signature for Survival Prediction of Ovarian Cancer Patients
2020-09-25
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
Open a Topic to create a Post that cites this publication.
- 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
- Ovarian cancer diagnosis and treatment
- Single-cell and spatial transcriptomics
Identifiers and source
- Literature Corpus work
- 5315206a-d2cc-58a2-b520-76bb5e16b571
- DOI
- 10.21203/rs.3.rs-76061/v1
