Analysis of the Prognostic Significance of Circulating Tumor DNA in Metastatic Castrate Resistant Prostate Cancer.


Journal

Clinical genitourinary cancer
ISSN: 1938-0682
Titre abrégé: Clin Genitourin Cancer
Pays: United States
ID NLM: 101260955

Informations de publication

Date de publication:
12 2021
Historique:
received: 27 06 2021
accepted: 18 07 2021
pubmed: 29 8 2021
medline: 3 2 2022
entrez: 28 8 2021
Statut: ppublish

Résumé

There has been considerable interest in ctDNA next generation sequencing platforms to assess genomic alterations in mCRPC given its accessibility and identification of temporal genomic data. In this retrospective analysis, we analyzed 63 patients who underwent ctDNA genomic profiling during their mCRPC disease course using a CLIA-certified commercial assay. The primary objective was to assess the feasibility of commercial ctDNA analysis in a real world mCRPC cohort. Key secondary objectives included assessment of the landscape of pathogenic ctDNA alterations and the prognostic significance of ctDNA detection on overall survival (OS). Among the cohort, at the time of ctDNA collection, median age was 70 years, and 47.6% (N = 30/63) had bone-only metastases. ctDNA was detected in the majority of patients with at least 1 pathogenic alteration detected in 90.5% (N = 57/63) of individuals. The most common alterations detected were in AR, TP53, and PIK3CA. Actionable alterations with FDA-approved therapies were found in 15.8% (N = 10) of the cohort. The presence of ≤ 1 versus > 1 alteration on ctDNA analysis was strongly associated with inferior OS with a median OS of 26.1 versus 8.8 months, respectively (HR = 7.0, 95% CI, 2.2-23.1, P < .001). In multivariate analysis, the number of detected alterations remained a significant predictor for OS. Lastly, there was weak correlation between Prostate-Specific Antigen (PSA), and ctDNA characteristics. ctDNA is a viable next generation sequencing (NGS) platform in mCRPC and can be utilized to identify actionable alterations. The presence and extent of ctDNA alterations appear to be prognostic of OS in mCRPC.

Sections du résumé

BACKGROUND
There has been considerable interest in ctDNA next generation sequencing platforms to assess genomic alterations in mCRPC given its accessibility and identification of temporal genomic data.
PATIENTSAND METHODS
In this retrospective analysis, we analyzed 63 patients who underwent ctDNA genomic profiling during their mCRPC disease course using a CLIA-certified commercial assay. The primary objective was to assess the feasibility of commercial ctDNA analysis in a real world mCRPC cohort. Key secondary objectives included assessment of the landscape of pathogenic ctDNA alterations and the prognostic significance of ctDNA detection on overall survival (OS).
RESULTS
Among the cohort, at the time of ctDNA collection, median age was 70 years, and 47.6% (N = 30/63) had bone-only metastases. ctDNA was detected in the majority of patients with at least 1 pathogenic alteration detected in 90.5% (N = 57/63) of individuals. The most common alterations detected were in AR, TP53, and PIK3CA. Actionable alterations with FDA-approved therapies were found in 15.8% (N = 10) of the cohort. The presence of ≤ 1 versus > 1 alteration on ctDNA analysis was strongly associated with inferior OS with a median OS of 26.1 versus 8.8 months, respectively (HR = 7.0, 95% CI, 2.2-23.1, P < .001). In multivariate analysis, the number of detected alterations remained a significant predictor for OS. Lastly, there was weak correlation between Prostate-Specific Antigen (PSA), and ctDNA characteristics.
CONCLUSION
ctDNA is a viable next generation sequencing (NGS) platform in mCRPC and can be utilized to identify actionable alterations. The presence and extent of ctDNA alterations appear to be prognostic of OS in mCRPC.

Identifiants

pubmed: 34452870
pii: S1558-7673(21)00151-8
doi: 10.1016/j.clgc.2021.07.012
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Circulating Tumor DNA 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

564.e1-564.e10

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Justin Shaya (J)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA.

Taylor Nonato (T)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA.

Angelo Cabal (A)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA.

James Michael Randall (JM)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA.

Frederick Millard (F)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA.

Tyler Stewart (T)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA.

Rana R McKay (RR)

Division of Hematology-Oncology, Department of Medicine, University of California San Diego, San Diego, CA. Electronic address: rmckay@health.ucsd.edu.

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Classifications MeSH