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Updated: May 25, 2026

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
Gene expression, molecular class changes, and pathway analysis after neoadjuvant systemic therapy for breast cancer
Ana M Gonzalez-Angulo1, Takayuki Iwamoto, Shuying Liu
1Departments of Breast Medical Oncology, Systems Biology, Biostatistics, Surgical Oncology, and Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. agonzalez@mdanderson.org
Summary
Gene expression analysis reveals that residual breast cancers after neoadjuvant systemic therapy (NST) upregulate energy metabolism and deplete immune signals. Targeting these pathways may offer new treatment strategies for patients with persistent cancer.
Area of Science:
- Genomics
- Molecular Biology
- Oncology
Background:
- Neoadjuvant systemic therapy (NST) is a common treatment for breast cancer.
- Understanding molecular changes after NST is crucial for optimizing treatment strategies.
- Residual cancer after NST presents a challenge for patient outcomes.
Purpose of the Study:
- To investigate gene expression alterations in breast cancer specimens before and after neoadjuvant systemic therapy (NST).
- To identify biological changes that could inform novel therapeutic approaches for residual disease.
Main Methods:
- Gene expression profiling of pre- and post-neoadjuvant systemic therapy (NST) breast cancer samples from 21 patients.
- Removal of stroma-associated genes to reduce confounding factors.
- Utilized PAM50 for molecular classification and paired t-tests/gene set analysis for differential expression.
Main Results:
- ER and HER2 expression remained stable; proliferation metrics showed no significant changes.
- Molecular class shifted in 33.3% of cases, often to a normal-like subtype associated with low cellularity.
- Upregulation of phosphoinositide 3-kinase, small G proteins, calmodulin-dependent protein kinase II, and energy metabolism pathways observed in basal-like cancers.
- Enrichment of notch signaling and energy metabolism, with depletion of sonic hedgehog and immune pathways in non-basal-like cancers.
- No increase in epithelial-mesenchymal transition or cancer stem cell signatures.
Conclusions:
- Residual breast cancers exhibit upregulated energy metabolism and depleted immune-related signals.
- Targeting these identified biological processes may offer promising adjuvant treatment strategies for residual disease.
