Prostate cancer cell-intrinsic interferon signaling regulates dormancy and metastatic outgrowth in bone.
Katie L OwenLinden J GearingDamien J ZankerNatasha K BrockwellWeng Hua KhooDaniel L RodenMarek CmeroStefano MangiolaMatthew K HongAlex J SpurlingMichelle McDonaldChia-Ling ChanAnupama PasamRuth J LyonsHendrika M DuivenvoordenAndrew RyanLisa M ButlerJohn M MariadasonTri Giang PhanVanessa M HayesShahneen SandhuAlexander SwarbrickNiall M CorcoranPaul J HertzogPeter I CroucherChris HovensBelinda S ParkerPublished in: EMBO reports (2020)
The latency associated with bone metastasis emergence in castrate-resistant prostate cancer is attributed to dormancy, a state in which cancer cells persist prior to overt lesion formation. Using single-cell transcriptomics and ex vivo profiling, we have uncovered the critical role of tumor-intrinsic immune signaling in the retention of cancer cell dormancy. We demonstrate that loss of tumor-intrinsic type I IFN occurs in proliferating prostate cancer cells in bone. This loss suppresses tumor immunogenicity and therapeutic response and promotes bone cell activation to drive cancer progression. Restoration of tumor-intrinsic IFN signaling by HDAC inhibition increased tumor cell visibility, promoted long-term antitumor immunity, and blocked cancer growth in bone. Key findings were validated in patients, including loss of tumor-intrinsic IFN signaling and immunogenicity in bone metastases compared to primary tumors. Data herein provide a rationale as to why current immunotherapeutics fail in bone-metastatic prostate cancer, and provide a new therapeutic strategy to overcome the inefficacy of immune-based therapies in solid cancers.
Keyphrases
- single cell
- prostate cancer
- bone mineral density
- rna seq
- soft tissue
- radical prostatectomy
- dendritic cells
- small cell lung cancer
- bone loss
- end stage renal disease
- cell therapy
- high throughput
- bone regeneration
- postmenopausal women
- stem cells
- ejection fraction
- newly diagnosed
- signaling pathway
- peritoneal dialysis
- mesenchymal stem cells
- machine learning
- deep learning
- young adults
- prognostic factors
- squamous cell
- childhood cancer
- lymph node metastasis
- patient reported