The neuroendocrine transition in prostate cancer is dynamic and dependent on ASCL1.
Rodrigo RomeroTinyi ChuTania J González-RoblesPerianne SmithYubin XieHarmanpreet KaurSara YoderHuiyong ZhaoChenyi MaoWenfei KangMaria V PulinaKayla E LawrenceAnuradha GopalanSamir ZaidiKwangmin YooJungmin ChoiNing FanOlivia GerstnerWouter R KarthausElisa DeStanchinaKelly V RugglesPeter M K WestcottRonan ChalignéDana Pe'erCharles L SawyersPublished in: bioRxiv : the preprint server for biology (2024)
Lineage plasticity is a recognized hallmark of cancer progression that can shape therapy outcomes. The underlying cellular and molecular mechanisms mediating lineage plasticity remain poorly understood. Here, we describe a versatile in vivo platform to identify and interrogate the molecular determinants of neuroendocrine lineage transformation at different stages of prostate cancer progression. Adenocarcinomas reliably develop following orthotopic transplantation of primary mouse prostate organoids acutely engineered with human-relevant driver alterations (e.g., Rb1 - / - ; Trp53 - / - ; cMyc + or Pten - / - ; Trp53 - / - ; cMyc + ), but only those with Rb1 deletion progress to ASCL1+ neuroendocrine prostate cancer (NEPC), a highly aggressive, androgen receptor signaling inhibitor (ARSI)-resistant tumor. Importantly, we show this lineage transition requires a native in vivo microenvironment not replicated by conventional organoid culture. By integrating multiplexed immunofluorescence, spatial transcriptomics and PrismSpot to identify cell type-specific spatial gene modules, we reveal that ASCL1+ cells arise from KRT8+ luminal epithelial cells that progressively acquire transcriptional heterogeneity, producing large ASCL1 + ;KRT8 - NEPC clusters. Ascl1 loss in established NEPC results in transient tumor regression followed by recurrence; however, Ascl1 deletion prior to transplantation completely abrogates lineage plasticity, yielding adenocarcinomas with elevated AR expression and marked sensitivity to castration. The dynamic feature of this model reveals the importance of timing of therapies focused on lineage plasticity and offers a platform for identification of additional lineage plasticity drivers.
Keyphrases
- single cell
- prostate cancer
- radical prostatectomy
- high throughput
- stem cells
- cell fate
- endothelial cells
- type diabetes
- squamous cell
- genome wide
- machine learning
- poor prognosis
- deep learning
- dna methylation
- induced pluripotent stem cells
- transcription factor
- pi k akt
- cell therapy
- binding protein
- long non coding rna
- skeletal muscle
- blood brain barrier
- cell death
- young adults
- bone marrow
- single molecule
- free survival
- bioinformatics analysis