S100A8/A9 predicts response to PIM kinase and PD-1/PD-L1 inhibition in triple-negative breast cancer mouse models
- Commun Med (Lond). 2024 Feb 20;4(1):22. doi: 10.1038/s43856-024-00444-8.
- 1. Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
- 2. University of Florida College of Medicine, Gainesville, FL, USA.
- 3. Biostatistics Collaboration Center, Northwestern University, Chicago, IL, USA.
- 4. Rush University Medical Center, Chicago, IL, USA.
- 5. Mythic Therapeutics, Waltham, MA, USA.
- 6. Center for Comparative Medicine, Northwestern University, Chicago, IL, USA.
- 7. Pennington Biomedical Research Center, Baton Rouge, LA, USA.
- 8. High Throughput Analysis Laboratory, Northwestern University, Evanston, IL, USA.
- 9. University of California, San Francisco, San Francisco, CA, USA.
- 10. Pulze.ai, San Francisco, CA, USA.
- 11. Novo Ventures US, Inc., San Francisco, CA, USA.
- 12. Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
- 13. AbbVie, Inc., North Chicago, IL, USA.
- 14. Northwestern University Feinberg School of Medicine, Chicago, IL, USA. [email protected].
- 15. Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA. [email protected].
- 16. Center for Human Immunobiology, Northwestern University, Chicago, IL, USA. [email protected].
Background: Understanding why some triple-negative breast Cancer (TNBC) patients respond poorly to existing therapies while Others respond well remains a challenge. This study aims to understand the potential underlying mechanisms distinguishing early-stage TNBC tumors that respond to clinical intervention from non-responders, as well as to identify clinically viable therapeutic strategies, specifically for TNBC patients who may not benefit from existing therapies.
Methods: We conducted retrospective bioinformatics analysis of historical gene expression datasets to identify a group of genes whose expression levels in early-stage tumors predict poor clinical outcomes in TNBC. In vitro small-molecule screening, genetic manipulation, and drug treatment in syngeneic mouse models of TNBC were utilized to investigate potential therapeutic strategies and elucidate mechanisms of drug action.
Results: Our bioinformatics analysis reveals a robust association between increased expression of immunosuppressive cytokine S100A8/A9 in early-stage tumors and subsequent disease progression in TNBC. A targeted small-molecule screen identifies Pim kinase inhibitors as capable of decreasing S100A8/A9 expression in multiple cell types, including TNBC and immunosuppressive myeloid cells. Combining Pim inhibition and immune checkpoint blockade induces significant antitumor responses, especially in otherwise resistant S100A8/A9-high PD-1/PD-L1-positive tumors. Notably, serum S100A8/A9 levels mirror those of tumor S100A8/A9 in a syngeneic mouse model of TNBC.
Conclusions: Our data propose S100A8/A9 as a potential predictive and pharmacodynamic biomarker in clinical trials evaluating combination therapy targeting Pim and immune checkpoints in TNBC. This work encourages the development of S100A8/A9-based liquid biopsy tests for treatment guidance.