Mixed responses to targeted therapy driven by chromosomal instability through p53 dysfunction and genome doubling.
Sebastijan HoborMaise Al BakirCrispin T HileyMarcin SkrzypskiAlexander M FrankellBjorn BakkerThomas B K WatkinsAleksandra MarkovetsJonathan R DryAndrew P BrownJasper van der AartHilda van den BosDiana Carolina Johanna SpieringsDahmane OukrifMarco NovelliTurja ChakrabartiAdam H RabinowitzLaila Ait HassouSaskia LitièreD Lucas KerrLisa TanGavin P KellyDavid Allan MooreMatthew J RenshawSubramanian VenkatesanWilliam HillAriana HuebnerCarlos Martínez-RuizJames R M BlackWei WuMihaela AngelovaNicholas McGranahanJulian DownwardJuliann ChmieleckiCarl BarrettKevin LitchfieldSu Kit ChewCollin M BlakelyElza C de BruinFloris FoijerKaren H VousdenTrever G Bivonanull nullRobert Edward HyndsNnennaya KanuSimone ZaccariaEva GrönroosCharles SwantonPublished in: Nature communications (2024)
The phenomenon of mixed/heterogenous treatment responses to cancer therapies within an individual patient presents a challenging clinical scenario. Furthermore, the molecular basis of mixed intra-patient tumor responses remains unclear. Here, we show that patients with metastatic lung adenocarcinoma harbouring co-mutations of EGFR and TP53, are more likely to have mixed intra-patient tumor responses to EGFR tyrosine kinase inhibition (TKI), compared to those with an EGFR mutation alone. The combined presence of whole genome doubling (WGD) and TP53 co-mutations leads to increased genome instability and genomic copy number aberrations in genes implicated in EGFR TKI resistance. Using mouse models and an in vitro isogenic p53-mutant model system, we provide evidence that WGD provides diverse routes to drug resistance by increasing the probability of acquiring copy-number gains or losses relative to non-WGD cells. These data provide a molecular basis for mixed tumor responses to targeted therapy, within an individual patient, with implications for therapeutic strategies.
Keyphrases
- tyrosine kinase
- copy number
- epidermal growth factor receptor
- genome wide
- mitochondrial dna
- small cell lung cancer
- case report
- dna methylation
- advanced non small cell lung cancer
- squamous cell carcinoma
- induced apoptosis
- mouse model
- electronic health record
- gene expression
- deep learning
- big data
- transcription factor
- papillary thyroid
- wild type
- lymph node metastasis
- combination therapy