Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development

Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development

Abstract Background Because of the highly heterogeneous nature of breast cancer, each subtype differs in response to several treatment regimens. This has limited the therapeutic options for metastatic breast cancer disease requiring exploration of diverse therapeutic models to target tumor specific...

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Bibliographic Details
Main Authors: Reem Altaf, Humaira Nadeem, Mustafeez Mujtaba Babar, Umair Ilyas, Syed Aun Muhammad
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Journal of Biological Research - Thessaloniki
Subjects:
Breast cancer
Microarray datasets
Pathway enrichment analysis
Gene ontology
miRNA
Drug-gene network
Online Access:https://doi.org/10.1186/s40709-021-00136-7

Internet

https://doi.org/10.1186/s40709-021-00136-7

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