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Clinical determinants for successful circulating tumor DNA analysis in prostate cancer.
Schweizer, Michael T; Gulati, Roman; Beightol, Mallory; Konnick, Eric Q; Cheng, Heather H; Klemfuss, Nola; De Sarkar, Navonil; Yu, Evan Y; Montgomery, R Bruce; Nelson, Peter S; Pritchard, Colin C.
Afiliação
  • Schweizer MT; Department of Medicine, University of Washington, Seattle, Washington.
  • Gulati R; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Beightol M; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Konnick EQ; Department of Laboratory Medicine, University of Washington, Seattle, Washington.
  • Cheng HH; Department of Laboratory Medicine, University of Washington, Seattle, Washington.
  • Klemfuss N; Department of Medicine, University of Washington, Seattle, Washington.
  • De Sarkar N; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Yu EY; Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Montgomery RB; Brotman Baty Institute for Precision Medicine, Seattle, Washington.
  • Nelson PS; Department of Medicine, University of Washington, Seattle, Washington.
  • Pritchard CC; Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Prostate ; 79(7): 701-708, 2019 05.
Article em En | MEDLINE | ID: mdl-30865311
ABSTRACT

BACKGROUND:

Plasma-based cell-free DNA is an attractive biospecimen for assessing somatic mutations due to minimally-invasive real-time sampling. However, next generation sequencing (NGS) of cell-free DNA (cfDNA) may not be appropriate for all patients with advanced prostate cancer (PC).

METHODS:

Blood was obtained from advanced PC patients for plasma-based sequencing. UW-OncoPlex, a ∼2 Mb multi-gene NGS panel performed in the CLIA/CAP environment, was optimized for detecting cfDNA mutations. Tumor tissue and germline samples were sequenced for comparative analyses. Multivariate logistic regression was performed to determine the clinical characteristic associated with the successful detection of somatic cfDNA alterations (ie detection of at least one clearly somatic PC mutation).

RESULTS:

Plasma for cfDNA sequencing was obtained from 93 PC patients along with tumor tissue (N = 67) and germline (N = 93) controls. We included data from 76 patients (72 prostate adenocarcinoma; 4 variant histology PC) in the analysis. Somatic DNA aberrations were detected in 34 cfDNA samples from patients with prostate adenocarcinoma. High PSA level, high tumor volume, and castration-resistance were significantly associated with successful detection of somatic cfDNA alterations. Among samples with somatic mutations detected, the cfDNA assay detected 93/102 (91%) alterations found in tumor tissue, yielding a clustering-corrected sensitivity of 92% (95% confidence interval 88-97%). All germline pathogenic variants present in lymphocyte DNA were also detected in cfDNA (N = 12). Somatic mutations from cfDNA were detected in 30/33 (93%) instances when PSA was >10 ng/mL.

CONCLUSIONS:

Disease burden, including a PSA >10 ng/mL, is strongly associated with detecting somatic mutations from cfDNA specimens.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Adenocarcinoma / Biomarcadores Tumorais / DNA Tumoral Circulante Limite: Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Adenocarcinoma / Biomarcadores Tumorais / DNA Tumoral Circulante Limite: Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article