Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types

Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types

Abstract Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concern of women. Breast cancer etiology implicates numerous cellular protein receptors such as estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor/receptor 2 (H...

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Main Authors: Mahrukh Zakir, Alishbah Saddiqa, Mawara Sheikh, Lalarukh Zakir, Fatima Sami, Faisal Sardar Ahmad, Sadaf Abdul Rauf, Iqra Ali, Zahid Muneer, Wadi B. Alonazi, Abdul Rauf Siddiqi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Breast cancer (BC)
Triple negative breast cancer (TNBC)
Human epidermal growth factor 2 (HER2 +)
Differentially expressed genes (DEGs’)
Pathway analysis
Network analysis
Online Access:https://doi.org/10.1038/s41598-025-94084-0
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