Noninvasive Detection of Clinically Significant Prostate Cancer Using Circulating Tumor Cells.


Journal

The Journal of urology
ISSN: 1527-3792
Titre abrégé: J Urol
Pays: United States
ID NLM: 0376374

Informations de publication

Date de publication:
01 2020
Historique:
pubmed: 8 8 2019
medline: 31 12 2019
entrez: 8 8 2019
Statut: ppublish

Résumé

Prostate specific antigen testing results in unnecessary biopsy and over diagnosis with consequent overtreatment. Tissue biopsy is an invasive procedure associated with significant morbidity. More accurate noninvasive or minimally invasive diagnostic approaches should be developed to avoid unnecessary prostate biopsy and over diagnosis. We investigated the potential of using circulating tumor cell analysis in cancer diagnosis, particularly to predict clinically significant prostate cancer in prebiopsy cases. We enrolled 155 treatment naïve patients with prostate cancer and 98 before biopsy for circulating tumor cell enumeration. RNA was extracted from circulating tumor cells of 184 patients for gene expression analysis. The Kruskal-Wallis and Spearman rank tests, multivariate logistic regression and the random forest method were applied to assess the association of circulating tumor cells with aggressive prostate cancer. Of patients with localized prostate cancer 54% were scored as having positive circulating tumor cells, which was associated with a higher Gleason score (p=0.0003), risk group (p <0.0001) and clinically significant prostate cancer (p <0.0001). In the prebiopsy group a positive circulating tumor cell score combined with prostate specific antigen predicted clinically significant prostate cancer (AUC 0.869). A 12-gene panel prognostic for clinically significant prostate cancer was also identified. When combining the prostate specific antigen level, the circulating tumor cell score and the 12-gene panel, the AUC of clinically significant prostate cancer prediction was 0.927. Adding those data to cases with available multiparametric magnetic resonance imaging data significantly increased prediction accuracy (AUC 0.936 vs 0.629). Circulating tumor cell analysis has the potential to significantly improve patient stratification by prostate specific antigen and/or multiparametric magnetic resonance imaging for biopsy and treatment.

Identifiants

pubmed: 31389764
doi: 10.1097/JU.0000000000000475
doi:

Substances chimiques

Biomarkers, Tumor 0
Circulating MicroRNA 0
Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

73-82

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Auteurs

Lei Xu (L)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.
Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.

Xueying Mao (X)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Alistair Grey (A)

Department of Urology, Barts Health National Health Service, United Kingdom.
Division of Surgery and Interventional Sciences, University College London, United Kingdom.
Department of Surgery and Cancer, Imperial College London, United Kingdom.

Glenda Scandura (G)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Tianyu Guo (T)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Edwina Burke (E)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Jacek Marzec (J)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Semah Abdu (S)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Elzbieta Stankiewicz (E)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Caitlin R Davies (CR)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Prabhakar Rajan (P)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.
Department of Urology, Barts Health National Health Service, United Kingdom.
Division of Surgery and Interventional Sciences, University College London, United Kingdom.
Department of Urology, University College London National Health Service Foundation Trust, London, United Kingdom.

Karen Tipples (K)

Department of Urology, Barts Health National Health Service, United Kingdom.

John Hines (J)

Department of Urology, Barts Health National Health Service, United Kingdom.
Department of Urology, University College London National Health Service Foundation Trust, London, United Kingdom.

Pui Ying Chan (PY)

Department of Medical Oncology, Barts Health National Health Service, United Kingdom.

Diane Campbell (D)

Department of Urology, Barts Health National Health Service, United Kingdom.

Karen Wilkinson (K)

Department of Urology, Barts Health National Health Service, United Kingdom.
Department of Urology, University College London National Health Service Foundation Trust, London, United Kingdom.

Sakunthala Kudahetti (S)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Jonathan Shamash (J)

Department of Medical Oncology, Barts Health National Health Service, United Kingdom.

Tim Oliver (T)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Daniel Berney (D)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Greg Shaw (G)

Department of Urology, Barts Health National Health Service, United Kingdom.
Division of Surgery and Interventional Sciences, University College London, United Kingdom.
Department of Urology, University College London National Health Service Foundation Trust, London, United Kingdom.

Yong-Jie Lu (YJ)

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.
First Affiliated Hospital and Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.

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Classifications MeSH