Identification of an optimized glycolytic-related risk signature for predicting the prognosis in breast cancer using integrated bioinformatic analysis

Aberrant metabolic disorders and significant glycolytic alterations in tumor tissues and cells are hallmarks of breast cancer (BC) progression. This study aims to elucidate the key biomarkers and pathways mediating abnormal glycolysis in breast cancer using bioinformatics analysis. Differential gene...

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Detalles Bibliográficos
Autores principales: Jiang, Di, Zhang, Ling-Yu, Wang, Dan-Hua, Liu, Yan-rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
5750
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476720/
https://www.ncbi.nlm.nih.gov/pubmed/37656998
http://dx.doi.org/10.1097/MD.0000000000034715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476720/
https://www.ncbi.nlm.nih.gov/pubmed/37656998
http://dx.doi.org/10.1097/MD.0000000000034715

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