Development and Validation of a Novel 11-Gene Prognostic Model for Serous Ovarian Carcinomas Based on Lipid Metabolism Expression Profile

(1) Background: Biomarkers might play a significant role in predicting the clinical outcomes of patients with ovarian cancer. By analyzing lipid metabolism genes, future perspectives may be uncovered; (2) Methods: RNA-seq data for serous ovarian cancer were downloaded from The Cancer Genome Atlas an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Int J Mol Sci
Hauptverfasser: Zheng, Mingjun, Mullikin, Heather, Hester, Anna, Czogalla, Bastian, Heidegger, Helene, Vilsmaier, Theresa, Vattai, Aurelia, Chelariu-Raicu, Anca, Jeschke, Udo, Trillsch, Fabian, Mahner, Sven, Kaltofen, Till
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2020
Schlagworte:
Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7731240/
https://ncbi.nlm.nih.gov/pubmed/33271935
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms21239169
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge