GEO series
A Patient-Derived Xenograft Model Identifies AK1 as a Key Regulator of Metastatic Potential in Primary Triple-Negative Breast Cancer
GSE334033
Homo sapiens
Expression profiling by high throughput sequencing
105 samples
2026/06/30
GPL24676GPL11154
Summary
Metastasis remains the major cause of mortality in triple-negative breast cancer (TNBC), yet the metastatic potential of primary tumors is difficult to predict at diagnosis. Here, we leveraged patient-derived xenograft (PDX) models as a functional readout of primary tumor metastatic propensity. We first performed integrated genomic and transcriptomic profiling of primary breast tumors and their matched PDX models and found that key driver mutations, recurrent copy number alterations, and molecular subtype features were largely conserved between patient tumors and xenografts. These findings support the utility of matched PDX models as clinically relevant platforms for studying tumor-intrinsic features associated with breast cancer progression. We next focused on TNBC PDX models with reproducible metastatic phenotypes across biological replicates and classified primary tumors into metastatic and non-metastatic groups based on their matched PDX behavior. Single-cell transcriptomic profiling of these tumors revealed that metastatic samples were characterized by hypoxia-associated metabolic reprogramming, with coordinated activation of hypoxia and glycolysis pathways. This metabolic phenotype was associated with poor clinical outcome in independent breast cancer cohorts. Network-based prioritization identified adenylate kinase 1 (AK1) as a candidate regulator of this metastatic program. Functionally, AK1 promoted metastatic potential in primary tumor by supporting glycolytic ATP production, resistance to hypoxic and oxidative stress, and promoting trans-endothelial migration. Together, our findings establish primary tumor–matched PDX models as a clinically relevant discovery platform for metastatic potential, overcoming the challenge that future metastatic events are not readily predictable from primary tumors at diagnosis. Using reproducible PDX metastasis as a functional readout, we identify AK1-mediated metabolic stress adaptation as a key mechanism underlying metastatic potential in primary TNBC.
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