Basal-like mammary carcinomas stimulate cancer stem cell properties through AXL-signaling to induce chemotherapy resistance.
Garyfallia Pantelaiou-ProkakiOliver ReinhardtNadine S GeorgesDavid J AgorkuOlaf T HardtEvangelos ProkakisIga K MieczkowskaWolfgang DeppertFlorian WegwitzFrauke AlvesPublished in: International journal of cancer (2023)
Basal-like breast cancer (BLBC) is the most aggressive and heterogeneous breast cancer (BC) subtype. Conventional chemotherapies represent next to surgery the most frequently employed treatment options. Unfortunately, resistant tumor phenotypes often develop, resulting in therapeutic failure. To identify the early events occurring upon the first drug application and initiating chemotherapy resistance in BLBC, we leveraged the WAP-T syngeneic mammary carcinoma mouse model and we developed a strategy combining magnetic-activated cell sorting (MACS)-based tumor cell enrichment with high-throughput transcriptome analyses. We discovered that chemotherapy induced a massive gene expression reprogramming toward stemness acquisition to tolerate and survive the cytotoxic treatment in vitro and in vivo. Retransplantation experiments revealed that one single cycle of cytotoxic drug combination therapy (Cyclophosphamide, Adriamycin and 5-Fluorouracil) suffices to induce resistant tumor cell phenotypes in vivo. We identified Axl and its ligand Pros1 as highly induced genes driving cancer stem cell (CSC) properties upon chemotherapy in vivo and in vitro. Furthermore, from our analysis of BLBC patient datasets, we found that AXL expression is also strongly correlated with CSC-gene signatures, a poor response to conventional therapies and worse survival outcomes in those patients. Finally, we demonstrate that AXL inhibition sensitized BLBC-cells to cytotoxic treatment in vitro. Together, our data support AXL as a promising therapeutic target to optimize the efficiency of conventional cytotoxic therapies in BLBC.
Keyphrases
- single cell
- cancer stem cells
- combination therapy
- tyrosine kinase
- gene expression
- chemotherapy induced
- high throughput
- rna seq
- genome wide
- cell therapy
- mouse model
- end stage renal disease
- dna methylation
- newly diagnosed
- locally advanced
- induced apoptosis
- low dose
- squamous cell carcinoma
- chronic kidney disease
- oxidative stress
- ejection fraction
- epithelial mesenchymal transition
- peritoneal dialysis
- drug induced
- emergency department
- mesenchymal stem cells
- artificial intelligence
- deep learning
- genome wide identification
- transcription factor
- big data
- endoplasmic reticulum stress
- atrial fibrillation
- rectal cancer
- long non coding rna
- copy number
- diabetic rats
- patient reported