Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling Journal Article


Authors: Chan, J. M.; Zaidi, S.; Love, J. R.; Zhao, J. L.; Setty, M.; Wadosky, K. M.; Gopalan, A.; Choo, Z. N.; Persad, S.; Choi, J.; LaClair, J.; Lawrence, K. E.; Chaudhary, O.; Xu, T.; Masilionis, I.; Linkov, I.; Wang, S.; Lee, C.; Barlas, A.; Morris, M. J.; Mazutis, L.; Chaligne, R.; Chen, Y.; Goodrich, D. W.; Karthaus, W. R.; Pe'er, D.; Sawyers, C. L.
Article Title: Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling
Abstract: Drug resistance in cancer is often linked to changes in tumor cell state or lineage, but the molecular mechanisms driving this plasticity remain unclear. Using murine organoid and genetically engineered mouse models, we investigated the causes of lineage plasticity in prostate cancer and its relationship to antiandrogen resistance. We found that plasticity initiates in an epithelial population defined by mixed luminal-basal phenotype and that it depends on increased Janus kinase (JAK) and fibroblast growth factor receptor (FGFR) activity. Organoid cultures from patients with castration-resistant disease harboring mixed-lineage cells reproduce the dependency observed in mice by up-regulating luminal gene expression upon JAK and FGFR inhibitor treatment. Single-cell analysis confirms the presence of mixed-lineage cells with increased JAK/STAT (signal transducer and activator of transcription) and FGFR signaling in a subset of patients with metastatic disease, with implications for stratifying patients for clinical trials. © 2022 American Association for the Advancement of Science. All rights reserved.
Keywords: signal transduction; genetics; mouse; animal; metabolism; animals; mice; protein kinase inhibitor; protein kinase inhibitors; prostatic neoplasms; janus kinase; prostate tumor; androgen antagonists; antiandrogen; stat protein; janus kinases; stat transcription factors; humans; human; male
Journal Title: Science
Volume: 377
Issue: 6611
ISSN: 0036-8075
Publisher: American Association for the Advancement of Science  
Date Published: 2022-09-09
Start Page: 1180
End Page: 1191
Language: English
DOI: 10.1126/science.abn0478
PUBMED: 35981096
PROVIDER: scopus
PMCID: PMC9653178
DOI/URL:
Notes: Article -- Export Date: 3 October 2022 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Charles L Sawyers
    225 Sawyers
  2. Michael Morris
    577 Morris
  3. Yu Chen
    133 Chen
  4. Anuradha Gopalan
    411 Gopalan
  5. Afsar Barlas
    35 Barlas
  6. Manu Setty
    35 Setty
  7. Irina Linkov
    73 Linkov
  8. Joseph Minhow Chan
    48 Chan
  9. Shangqian   Wang
    20 Wang
  10. Dana Pe'er
    110 Pe'er
  11. Jimmy Liu Zhao
    21 Zhao
  12. Linas Mazutis
    34 Mazutis
  13. Cindy J Lee
    18 Lee
  14. Tianhao Xu
    7 Xu
  15. Samir Zaidi
    27 Zaidi
  16. Jillian R. Love
    5 Love
  17. Zi-Ning Choo
    6 Choo
  18. Sitara Camini Persad
    2 Persad