S100A8/A9 predicts triple-negative breast cancer response to PIM kinase and PD-1/PD-L1 inhibition.
Lauren R BeggAdrienne M OrriolsMarkella ZannikouChen YehPranathi VadlamaniDeepak KanojiaRosemary BolinSara F DunneSanjeev BalakrishnanRoman CamardaDiane RothNicolette A Zielinski-MoznyChristina YauAthanassios VassilopoulosTzu-Hsuan HuangKwang-Youn A KimDai HoriuchiPublished in: bioRxiv : the preprint server for biology (2023)
It remains elusive why some triple-negative breast cancer (TNBC) patients respond poorly to existing therapies while others respond well. Our retrospective analysis of historical gene expression datasets reveals that increased expression of immunosuppressive cytokine S100A8/A9 in early-stage tumors is robustly associated with subsequent disease progression in TNBC. Although it has recently gained recognition as a potential anticancer target, S100A8/A9 has not been integrated into clinical study designs evaluating molecularly targeted therapies. Our small molecule screen has identified PIM kinase inhibitors as capable of decreasing S100A8/A9 expression in multiple cell types, including TNBC and immunosuppressive myeloid cells. Furthermore, combining PIM inhibition and immune checkpoint blockade induces significant antitumor responses, especially in otherwise resistant S100A8/A9-high PD-1/PD-L1-positive tumors. Importantly, serum S100A8/A9 levels mirror those of tumor S100A8/A9 in a syngeneic mouse model of TNBC. Thus, our data suggest that S100A8/A9 could be a predictive and pharmacodynamic biomarker in clinical trials evaluating combination therapy targeting PIM and immune checkpoints in TNBC and encourage the development of S100A8/A9-based liquid biopsy tests.
Keyphrases
- combination therapy
- small molecule
- gene expression
- early stage
- poor prognosis
- clinical trial
- mouse model
- ejection fraction
- end stage renal disease
- newly diagnosed
- dna methylation
- prognostic factors
- bone marrow
- cross sectional
- high throughput
- acute myeloid leukemia
- single cell
- binding protein
- cell cycle arrest
- stem cells
- risk assessment
- dendritic cells
- ionic liquid
- drug delivery
- rna seq
- lymph node
- mesenchymal stem cells
- patient reported outcomes
- machine learning
- radiation therapy
- squamous cell carcinoma
- immune response
- cell proliferation
- phase ii
- long non coding rna
- cancer therapy
- neoadjuvant chemotherapy
- locally advanced