IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-04495-z.html
   My bibliography  Save this article

Patient derived organoids to model rare prostate cancer phenotypes

Author

Listed:
  • Loredana Puca

    (Weill Cornell Medicine
    Weill Cornell Medicine
    Weill Cornell Medicine-New York Presbyterian Hospital)

  • Rohan Bareja

    (Weill Cornell Medicine-New York Presbyterian Hospital
    Weill Cornell Medicine)

  • Davide Prandi

    (University of Trento)

  • Reid Shaw

    (Cure First and SEngine Precision Medicine)

  • Matteo Benelli

    (University of Trento)

  • Wouter R. Karthaus

    (Memorial Sloan Kettering Cancer Center)

  • Judy Hess

    (Weill Cornell Medicine)

  • Michael Sigouros

    (Weill Cornell Medicine)

  • Adam Donoghue

    (Weill Cornell Medicine)

  • Myriam Kossai

    (Weill Cornell Medicine)

  • Dong Gao

    (Memorial Sloan Kettering Cancer Center)

  • Joanna Cyrta

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Verena Sailer

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Aram Vosoughi

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Chantal Pauli

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Yelena Churakova

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Cynthia Cheung

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Lesa Dayal Deonarine

    (Weill Cornell Medicine)

  • Terra J. McNary

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Rachele Rosati

    (Cure First and SEngine Precision Medicine)

  • Scott T. Tagawa

    (Weill Cornell Medicine
    Weill Cornell Medicine)

  • David M. Nanus

    (Weill Cornell Medicine
    Weill Cornell Medicine)

  • Juan Miguel Mosquera

    (Weill Cornell Medicine
    Weill Cornell Medicine-New York Presbyterian Hospital
    Weill Cornell Medicine)

  • Charles L. Sawyers

    (Memorial Sloan Kettering Cancer Center)

  • Yu Chen

    (Memorial Sloan Kettering Cancer Center)

  • Giorgio Inghirami

    (Weill Cornell Medicine)

  • Rema A. Rao

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Carla Grandori

    (Cure First and SEngine Precision Medicine)

  • Olivier Elemento

    (Weill Cornell Medicine
    Weill Cornell Medicine-New York Presbyterian Hospital
    Weill Cornell Medicine)

  • Andrea Sboner

    (Weill Cornell Medicine-New York Presbyterian Hospital
    Weill Cornell Medicine)

  • Francesca Demichelis

    (Weill Cornell Medicine-New York Presbyterian Hospital
    University of Trento)

  • Mark A. Rubin

    (Weill Cornell Medicine-New York Presbyterian Hospital
    Weill Cornell Medicine)

  • Himisha Beltran

    (Weill Cornell Medicine
    Weill Cornell Medicine
    Weill Cornell Medicine-New York Presbyterian Hospital)

Abstract

A major hurdle in the study of rare tumors is a lack of existing preclinical models. Neuroendocrine prostate cancer is an uncommon and aggressive histologic variant of prostate cancer that may arise de novo or as a mechanism of treatment resistance in patients with pre-existing castration-resistant prostate cancer. There are few available models to study neuroendocrine prostate cancer. Here, we report the generation and characterization of tumor organoids derived from needle biopsies of metastatic lesions from four patients. We demonstrate genomic, transcriptomic, and epigenomic concordance between organoids and their corresponding patient tumors. We utilize these organoids to understand the biologic role of the epigenetic modifier EZH2 in driving molecular programs associated with neuroendocrine prostate cancer progression. High-throughput organoid drug screening nominated single agents and drug combinations suggesting repurposing opportunities. This proof of principle study represents a strategy for the study of rare cancer phenotypes.

Suggested Citation

  • Loredana Puca & Rohan Bareja & Davide Prandi & Reid Shaw & Matteo Benelli & Wouter R. Karthaus & Judy Hess & Michael Sigouros & Adam Donoghue & Myriam Kossai & Dong Gao & Joanna Cyrta & Verena Sailer , 2018. "Patient derived organoids to model rare prostate cancer phenotypes," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04495-z
    DOI: 10.1038/s41467-018-04495-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-04495-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-04495-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Varadha Balaji Venkadakrishnan & Adam G. Presser & Richa Singh & Matthew A. Booker & Nicole A. Traphagen & Kenny Weng & Nathaniel C. E. Voss & Navin R. Mahadevan & Kei Mizuno & Loredana Puca & Osasena, 2024. "Lineage-specific canonical and non-canonical activity of EZH2 in advanced prostate cancer subtypes," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Syamantak Khan & June Ho Shin & Valentina Ferri & Ning Cheng & Julia E. Noel & Calvin Kuo & John B. Sunwoo & Guillem Pratx, 2021. "High-resolution positron emission microscopy of patient-derived tumor organoids," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    3. Meixia Che & Aashi Chaturvedi & Sarah A. Munro & Samuel P. Pitzen & Alex Ling & Weijie Zhang & Josh Mentzer & Sheng-Yu Ku & Loredana Puca & Yanyun Zhu & Andries M. Bergman & Tesa M. Severson & Colleen, 2021. "Opposing transcriptional programs of KLF5 and AR emerge during therapy for advanced prostate cancer," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    4. Marco Bolis & Daniela Bossi & Arianna Vallerga & Valentina Ceserani & Manuela Cavalli & Daniela Impellizzieri & Laura Di Rito & Eugenio Zoni & Simone Mosole & Angela Rita Elia & Andrea Rinaldi & Ricar, 2021. "Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression," Nature Communications, Nature, vol. 12(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04495-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.