Circulating tumor DNA profile recognizes transformation to castration-resistant neuroendocrine prostate cancer.


Journal

The Journal of clinical investigation
ISSN: 1558-8238
Titre abrégé: J Clin Invest
Pays: United States
ID NLM: 7802877

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 15 08 2019
accepted: 18 12 2019
pubmed: 25 2 2020
medline: 31 12 2020
entrez: 25 2 2020
Statut: ppublish

Résumé

Loss of androgen receptor (AR) signaling dependence occurs in approximately 15%-20% of advanced treatment-resistant prostate cancers, and this may manifest clinically as transformation from a prostate adenocarcinoma histology to a castration-resistant neuroendocrine prostate cancer (CRPC-NE). The diagnosis of CRPC-NE currently relies on a metastatic tumor biopsy, which is invasive for patients and sometimes challenging to diagnose due to morphologic heterogeneity. By studying whole-exome sequencing and whole-genome bisulfite sequencing of cell free DNA (cfDNA) and of matched metastatic tumor biopsies from patients with metastatic prostate adenocarcinoma and CRPC-NE, we identified CRPC-NE features detectable in the circulation. Overall, there was markedly higher concordance between cfDNA and biopsy tissue genomic alterations in patients with CRPC-NE compared with castration-resistant adenocarcinoma, supporting greater intraindividual genomic consistency across metastases. Allele-specific copy number and serial sampling analyses allowed for the detection and tracking of clonal and subclonal tumor cell populations. cfDNA methylation was indicative of circulating tumor content fraction, reflective of methylation patterns observed in biopsy tissues, and was capable of detecting CRPC-NE-associated epigenetic changes (e.g., hypermethylation of ASXL3 and SPDEF; hypomethylation of INSM1 and CDH2). A targeted set combining genomic (TP53, RB1, CYLD, AR) and epigenomic (hypo- and hypermethylation of 20 differential sites) alterations applied to ctDNA was capable of identifying patients with CRPC-NE.

Identifiants

pubmed: 32091413
pii: 131041
doi: 10.1172/JCI131041
pmc: PMC7108892
doi:
pii:

Substances chimiques

Circulating Tumor DNA 0
Neoplasm Proteins 0

Types de publication

Clinical Trial Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1653-1668

Subventions

Organisme : NCI NIH HHS
ID : P50 CA211024
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002384
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA125612
Pays : United States

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Auteurs

Himisha Beltran (H)

Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA.
Department of Medicine, Division of Medical Oncology, Weill Cornell Medicine, New York, New York, USA.

Alessandro Romanel (A)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Vincenza Conteduca (V)

Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA.
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.

Nicola Casiraghi (N)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Michael Sigouros (M)

Department of Medicine, Division of Medical Oncology, Weill Cornell Medicine, New York, New York, USA.

Gian Marco Franceschini (GM)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Francesco Orlando (F)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Tarcisio Fedrizzi (T)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Sheng-Yu Ku (SY)

Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA.

Emma Dann (E)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Alicia Alonso (A)

Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.

Juan Miguel Mosquera (JM)

Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.
Department of Pathology and Laboratory Medicine, and.

Andrea Sboner (A)

Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.

Jenny Xiang (J)

Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.

Olivier Elemento (O)

Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.

David M Nanus (DM)

Department of Medicine, Division of Medical Oncology, Weill Cornell Medicine, New York, New York, USA.
Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.

Scott T Tagawa (ST)

Department of Medicine, Division of Medical Oncology, Weill Cornell Medicine, New York, New York, USA.
Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.

Matteo Benelli (M)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Bioinformatics Unit, Hospital of Prato, Prato, Italy.

Francesca Demichelis (F)

Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.

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