Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies.
Sophia A WildIan G CannellAshley NichollsKatarzyna KaniaDario Bressannull nullGregory James HannonKirsty SawickaPublished in: eLife (2022)
Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here, we utilise clonal transcriptomics with WILD-seq; W holistic I nterrogation of L ineage D ynamics by seq uencing, in mouse models of triple-negative breast cancer (TNBC) to understand response and resistance to therapy, including BET bromodomain inhibition and taxane-based chemotherapy. These analyses revealed oxidative stress protection by NRF2 as a major mechanism of taxane resistance and led to the discovery that our tumour models are collaterally sensitive to asparagine deprivation therapy using the clinical stage drug L-asparaginase after frontline treatment with docetaxel. In summary, clonal transcriptomics with WILD-seq identifies mechanisms of resistance to chemotherapy that are also operative in patients and pin points asparagine bioavailability as a druggable vulnerability of taxane-resistant lineages.
Keyphrases
- single cell
- rna seq
- drug resistant
- genome wide
- oxidative stress
- high throughput
- multidrug resistant
- locally advanced
- end stage renal disease
- acinetobacter baumannii
- newly diagnosed
- mouse model
- dna methylation
- ejection fraction
- emergency department
- dna damage
- metastatic breast cancer
- chronic kidney disease
- climate change
- prognostic factors
- squamous cell carcinoma
- cystic fibrosis
- pseudomonas aeruginosa
- bone marrow
- adverse drug
- replacement therapy
- combination therapy
- drug induced