Development and evaluation of the MiCheck test for aggressive prostate cancer

•MiCheck test is a blood test developed to detect aggressive prostate cancer.•Uses an algorithm containing clinical factors and soluble analytes to give a risk score.•Outperforms existing tests in differentiating aggressive from nonaggressive prostate cancer.•Has potential to significantly reduce bi...

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Published inUrologic oncology Vol. 38; no. 8; pp. 683.e11 - 683.e18
Main Authors Shore, Neal D., Pieczonka, Christopher M., Henderson, R. Jonathan, Bailen, James L., Saltzstein, Daniel R., Concepcion, Raoul S., Beebe-Dimmer, Jennifer L., Ruterbusch, Julie J., Levin, Rachel A., Wissmueller, Sandra, Le, Thao Ho, Gillatt, David, Chan, Daniel W., Campbell, Douglas H., Walsh, Bradley J.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.08.2020
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Summary:•MiCheck test is a blood test developed to detect aggressive prostate cancer.•Uses an algorithm containing clinical factors and soluble analytes to give a risk score.•Outperforms existing tests in differentiating aggressive from nonaggressive prostate cancer.•Has potential to significantly reduce biopsies and healthcare costs. A clinical need exists for a biomarker test to accurately delineate aggressive prostate cancer (AgCaP), and thus better assist clinicians and patients decision-making on whether to proceed to prostate biopsy. To develop a blood test for AgCaP and compare to PSA, %free PSA, proPSA, and prostate health index (PHI) tests. Patient samples from the MiCheck-01 trial were used for development of the MiCheck test. Serum analyte concentrations for cellular growth factors were determined using a custom-made Luminex-based R&D Systems multianalyte kit. Bayesian model averaging and random forest approaches were used to identify clinical factors and growth factors able to distinguish between men with AgCaP (Gleason Score [GS] ≥3+4) from those with non-AgCaP (GS 3+3). Logistic regression and Monte Carlo cross-validation identified variable combinations in order to able to maximize differentiation of AgCaP from non-AgCaP. The MiCheck logistic regression model was developed and comprises the following variables: serum prostate-specific antigen (PSA), patient age, Digital Rectal Exam (DRE) status, Leptin, IL-7, vascular endothelial growth factor, and Glypican-1. The model differentiated AgCaP from non-AgCaP with an area under the curve of 0.83 and was superior to PSA, %free PSA and PHI in all patient groups, regardless of PSA range. Applying the MiCheck test to all evaluable biopsy patients from the MiCheck-01 study demonstrated that up to 30% of biopsies could be avoided while delaying diagnosis of only 6.8% of GS ≥3+4 cancers, 5% of GS ≥4+3 cancers and no cancers of GS 8 or higher. The MiCheck test outperforms PSA, %free PSA and PHI tests in differentiating AgCaP vs. non-AgCaP patients. The MiCheck test could result in a significant number of biopsies being avoided with a low number of patients experiencing a delayed diagnosis.
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ISSN:1078-1439
1873-2496
DOI:10.1016/j.urolonc.2020.03.010