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Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up.
Johnson, Heather; Guo, Jinan; Zhang, Xuhui; Zhang, Heqiu; Simoulis, Athanasios; Wu, Alan H B; Xia, Taolin; Li, Fei; Tan, Wanlong; Johnson, Allan; Dizeyi, Nishtman; Abrahamsson, Per-Anders; Kenner, Lukas; Feng, Xiaoyan; Zou, Chang; Xiao, Kefeng; Persson, Jenny L; Chen, Lingwu.
Afiliação
  • Johnson H; Olympia Diagnostics, Inc., Sunnyvale, CA, USA.
  • Guo J; Department of Urology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen Urology Minimally Invasive Engineering Centre, Shenzhen, China.
  • Zhang X; Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Clinical Medical Research Centre, The Second Clinical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China.
  • Zhang H; Department of Bio-diagnosis, Institute of Basic Medical Sciences, Beijing, China.
  • Simoulis A; Department of Bio-diagnosis, Institute of Basic Medical Sciences, Beijing, China.
  • Wu AHB; Department of Clinical Pathology and Cytology, Skåne University Hospital, Malmö, Sweden.
  • Xia T; Clinical Laboratories, San Francisco General Hospital, San Francisco, CA, USA.
  • Li F; Department of Urology, Foshan First People's Hospital, Foshan, China.
  • Tan W; Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Johnson A; Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Dizeyi N; Kinetic Reality, Santa Clara, CA, USA.
  • Abrahamsson PA; Department of Translational Medicine, Lund University, Clinical Research Centre, Malmö, Sweden.
  • Kenner L; Department of Translational Medicine, Lund University, Clinical Research Centre, Malmö, Sweden.
  • Feng X; Department of Experimental Pathology, Medical University Vienna & Unit of Laboratory Animal Pathology, University of Veterinary Medicine, Vienna, Austria.
  • Zou C; Department of Bio-diagnosis, Institute of Basic Medical Sciences, Beijing, China.
  • Xiao K; Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Clinical Medical Research Centre, The Second Clinical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China.
  • Persson JL; Department of Urology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen Urology Minimally Invasive Engineering Centre, Shenzhen, China.
  • Chen L; Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Clinical Medical Research Centre, The Second Clinical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China.
BMC Med ; 18(1): 376, 2020 12 01.
Article em En | MEDLINE | ID: mdl-33256740
ABSTRACT

BACKGROUND:

Heterogeneity of prostate cancer (PCa) contributes to inaccurate cancer screening and diagnosis, unnecessary biopsies, and overtreatment. We intended to develop non-invasive urine tests for accurate PCa diagnosis to avoid unnecessary biopsies.

METHODS:

Using a machine learning program, we identified a 25-Gene Panel classifier for distinguishing PCa and benign prostate. A non-invasive test using pre-biopsy urine samples collected without digital rectal examination (DRE) was used to measure gene expression of the panel using cDNA preamplification followed by real-time qRT-PCR. The 25-Gene Panel urine test was validated in independent multi-center retrospective and prospective studies. The diagnostic performance of the test was assessed against the pathological diagnosis from biopsy by discriminant analysis. Uni- and multivariate logistic regression analysis was performed to assess its diagnostic improvement over PSA and risk factors. In addition, the 25-Gene Panel urine test was used to identify clinically significant PCa. Furthermore, the 25-Gene Panel urine test was assessed in a subset of patients to examine if cancer was detected after prostatectomy.

RESULTS:

The 25-Gene Panel urine test accurately detected cancer and benign prostate with AUC of 0.946 (95% CI 0.963-0.929) in the retrospective cohort (n = 614), AUC of 0.901 (0.929-0.873) in the prospective cohort (n = 396), and AUC of 0.936 (0.956-0.916) in the large combination cohort (n = 1010). It greatly improved diagnostic accuracy over PSA and risk factors (p < 0.0001). When it was combined with PSA, the AUC increased to 0.961 (0.980-0.942). Importantly, the 25-Gene Panel urine test was able to accurately identify clinically significant and insignificant PCa with AUC of 0.928 (95% CI 0.947-0.909) in the combination cohort (n = 727). In addition, it was able to show the absence of cancer after prostatectomy with high accuracy.

CONCLUSIONS:

The 25-Gene Panel urine test is the first highly accurate and non-invasive liquid biopsy method without DRE for PCa diagnosis. In clinical practice, it may be used for identifying patients in need of biopsy for cancer diagnosis and patients with clinically significant cancer for immediate treatment, and potentially assisting cancer treatment follow-up.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Antígeno Prostático Específico / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: BMC Med Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Antígeno Prostático Específico / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: BMC Med Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos