Development and evaluation of the MiCheck® Prostate test for clinically significant prostate cancer

•MiCheck® Prostate was developed to identify men with clinically significant prostate cancer.•The MiCheck® algorithm combines three blood marker results and a DRE result to give a risk score.•The test has AUC 0.85, sensitivity 95% and specificity 50% for clinically significant prostate cancer. There...

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Veröffentlicht in:Urologic oncology 2023-11, Vol.41 (11), p.454.e9-454.e16
Hauptverfasser: Shore, Neal D., Polikarpov, Dmitry M., 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 A., Chan, Daniel W., Deng, Niantao, Siddireddy, Jaya Sowjanya, Lu, Yanling, Campbell, Douglas H., Walsh, Bradley J.
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container_end_page 454.e16
container_issue 11
container_start_page 454.e9
container_title Urologic oncology
container_volume 41
creator Shore, Neal D.
Polikarpov, Dmitry M.
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 A.
Chan, Daniel W.
Deng, Niantao
Siddireddy, Jaya Sowjanya
Lu, Yanling
Campbell, Douglas H.
Walsh, Bradley J.
description •MiCheck® Prostate was developed to identify men with clinically significant prostate cancer.•The MiCheck® algorithm combines three blood marker results and a DRE result to give a risk score.•The test has AUC 0.85, sensitivity 95% and specificity 50% for clinically significant prostate cancer. There is a clinical need to identify patients with an elevated PSA who would benefit from prostate biopsy due to the presence of clinically significant prostate cancer (CSCaP). We have previously reported the development of the MiCheck® Test for clinically significant prostate cancer. Here, we report MiCheck's further development and incorporation of the Roche Cobas standard clinical chemistry analyzer. To further develop and adapt the MiCheck® Prostate test so it can be performed using a standard clinical chemistry analyzer and characterize its performance using the MiCheck-01 clinical trial sample set. About 358 patient samples from the MiCheck-01 US clinical trial were used for the development of the MiCheck® Prostate test. These consisted of 46 controls, 137 non-CaP, 62 non-CSCaP, and 113 CSCaP. Serum analyte concentrations for cellular growth factors were determined using custom-made Luminex-based R&D Systems multi-analyte kits. Analytes that can also be measured using standard chemistry analyzers were examined for their ability to contribute to an algorithm with high sensitivity for the detection of clinically significant prostate cancer. Samples were then re-measured using a Roche Cobas analyzer for development of the final algorithm. Logistic regression modeling with Monte Carlo cross-validation was used to identify Human Epidydimal Protein 4 (HE4) as an analyte able to significantly improve the algorithm specificity at 95% sensitivity. A final model was developed using analyte measurements from the Cobas analzyer. The MiCheck® logistic regression model was developed and consisted of PSA, %free PSA, DRE, and HE4. The model differentiated clinically significant cancer from no cancer or not-clinically significant cancer with AUC of 0.85, sensitivity of 95%, and specificity of 50%. Applying the MiCheck® test to all evaluable 358 patients from the MiCheck-01 study demonstrated that up to 50% of unnecessary biopsies could be avoided while delaying diagnosis of only 5.3% of Gleason Score (GS) ≥3+4 cancers, 1.8% of GS≥4+3 cancers and no cancers of GS 8 to 10. The MiCheck® Prostate test identifies clinically significant prostate cancer with high sensitivity and negat
doi_str_mv 10.1016/j.urolonc.2023.08.005
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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 A. ; Chan, Daniel W. ; Deng, Niantao ; Siddireddy, Jaya Sowjanya ; Lu, Yanling ; Campbell, Douglas H. ; Walsh, Bradley J.</creator><creatorcontrib>Shore, Neal D. ; Polikarpov, Dmitry M. ; 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 A. ; Chan, Daniel W. ; Deng, Niantao ; Siddireddy, Jaya Sowjanya ; Lu, Yanling ; Campbell, Douglas H. ; Walsh, Bradley J.</creatorcontrib><description>•MiCheck® Prostate was developed to identify men with clinically significant prostate cancer.•The MiCheck® algorithm combines three blood marker results and a DRE result to give a risk score.•The test has AUC 0.85, sensitivity 95% and specificity 50% for clinically significant prostate cancer. There is a clinical need to identify patients with an elevated PSA who would benefit from prostate biopsy due to the presence of clinically significant prostate cancer (CSCaP). We have previously reported the development of the MiCheck® Test for clinically significant prostate cancer. Here, we report MiCheck's further development and incorporation of the Roche Cobas standard clinical chemistry analyzer. To further develop and adapt the MiCheck® Prostate test so it can be performed using a standard clinical chemistry analyzer and characterize its performance using the MiCheck-01 clinical trial sample set. About 358 patient samples from the MiCheck-01 US clinical trial were used for the development of the MiCheck® Prostate test. These consisted of 46 controls, 137 non-CaP, 62 non-CSCaP, and 113 CSCaP. Serum analyte concentrations for cellular growth factors were determined using custom-made Luminex-based R&amp;D Systems multi-analyte kits. Analytes that can also be measured using standard chemistry analyzers were examined for their ability to contribute to an algorithm with high sensitivity for the detection of clinically significant prostate cancer. Samples were then re-measured using a Roche Cobas analyzer for development of the final algorithm. Logistic regression modeling with Monte Carlo cross-validation was used to identify Human Epidydimal Protein 4 (HE4) as an analyte able to significantly improve the algorithm specificity at 95% sensitivity. A final model was developed using analyte measurements from the Cobas analzyer. The MiCheck® logistic regression model was developed and consisted of PSA, %free PSA, DRE, and HE4. The model differentiated clinically significant cancer from no cancer or not-clinically significant cancer with AUC of 0.85, sensitivity of 95%, and specificity of 50%. Applying the MiCheck® test to all evaluable 358 patients from the MiCheck-01 study demonstrated that up to 50% of unnecessary biopsies could be avoided while delaying diagnosis of only 5.3% of Gleason Score (GS) ≥3+4 cancers, 1.8% of GS≥4+3 cancers and no cancers of GS 8 to 10. The MiCheck® Prostate test identifies clinically significant prostate cancer with high sensitivity and negative predictive value (NPV). It can be performed in a clinical laboratory using a Roche Cobas clinical chemistry analyzer. The MiCheck® Prostate test could assist in reducing unnecessary prostate biopsies with a marginal number of patients experiencing a delayed diagnosis.</description><identifier>ISSN: 1078-1439</identifier><identifier>EISSN: 1873-2496</identifier><identifier>DOI: 10.1016/j.urolonc.2023.08.005</identifier><identifier>PMID: 37734979</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Biomarker ; Biopsy ; Clinical study ; Clinically significant cancer ; Humans ; Male ; NPV ; Predictive Value of Tests ; Prostate ; Prostate - pathology ; Prostate-Specific Antigen ; Prostatic Neoplasms - pathology</subject><ispartof>Urologic oncology, 2023-11, Vol.41 (11), p.454.e9-454.e16</ispartof><rights>2023 Elsevier Inc.</rights><rights>Copyright © 2023 Elsevier Inc. 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Jonathan</creatorcontrib><creatorcontrib>Bailen, James L.</creatorcontrib><creatorcontrib>Saltzstein, Daniel R.</creatorcontrib><creatorcontrib>Concepcion, Raoul S.</creatorcontrib><creatorcontrib>Beebe-Dimmer, Jennifer L.</creatorcontrib><creatorcontrib>Ruterbusch, Julie J.</creatorcontrib><creatorcontrib>Levin, Rachel A.</creatorcontrib><creatorcontrib>Wissmueller, Sandra</creatorcontrib><creatorcontrib>Le, Thao Ho</creatorcontrib><creatorcontrib>Gillatt, David A.</creatorcontrib><creatorcontrib>Chan, Daniel W.</creatorcontrib><creatorcontrib>Deng, Niantao</creatorcontrib><creatorcontrib>Siddireddy, Jaya Sowjanya</creatorcontrib><creatorcontrib>Lu, Yanling</creatorcontrib><creatorcontrib>Campbell, Douglas H.</creatorcontrib><creatorcontrib>Walsh, Bradley J.</creatorcontrib><title>Development and evaluation of the MiCheck® Prostate test for clinically significant prostate cancer</title><title>Urologic oncology</title><addtitle>Urol Oncol</addtitle><description>•MiCheck® Prostate was developed to identify men with clinically significant prostate cancer.•The MiCheck® algorithm combines three blood marker results and a DRE result to give a risk score.•The test has AUC 0.85, sensitivity 95% and specificity 50% for clinically significant prostate cancer. There is a clinical need to identify patients with an elevated PSA who would benefit from prostate biopsy due to the presence of clinically significant prostate cancer (CSCaP). We have previously reported the development of the MiCheck® Test for clinically significant prostate cancer. Here, we report MiCheck's further development and incorporation of the Roche Cobas standard clinical chemistry analyzer. To further develop and adapt the MiCheck® Prostate test so it can be performed using a standard clinical chemistry analyzer and characterize its performance using the MiCheck-01 clinical trial sample set. About 358 patient samples from the MiCheck-01 US clinical trial were used for the development of the MiCheck® Prostate test. These consisted of 46 controls, 137 non-CaP, 62 non-CSCaP, and 113 CSCaP. Serum analyte concentrations for cellular growth factors were determined using custom-made Luminex-based R&amp;D Systems multi-analyte kits. Analytes that can also be measured using standard chemistry analyzers were examined for their ability to contribute to an algorithm with high sensitivity for the detection of clinically significant prostate cancer. Samples were then re-measured using a Roche Cobas analyzer for development of the final algorithm. Logistic regression modeling with Monte Carlo cross-validation was used to identify Human Epidydimal Protein 4 (HE4) as an analyte able to significantly improve the algorithm specificity at 95% sensitivity. A final model was developed using analyte measurements from the Cobas analzyer. The MiCheck® logistic regression model was developed and consisted of PSA, %free PSA, DRE, and HE4. The model differentiated clinically significant cancer from no cancer or not-clinically significant cancer with AUC of 0.85, sensitivity of 95%, and specificity of 50%. 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The MiCheck® Prostate test could assist in reducing unnecessary prostate biopsies with a marginal number of patients experiencing a delayed diagnosis.</description><subject>Biomarker</subject><subject>Biopsy</subject><subject>Clinical study</subject><subject>Clinically significant cancer</subject><subject>Humans</subject><subject>Male</subject><subject>NPV</subject><subject>Predictive Value of Tests</subject><subject>Prostate</subject><subject>Prostate - pathology</subject><subject>Prostate-Specific Antigen</subject><subject>Prostatic Neoplasms - pathology</subject><issn>1078-1439</issn><issn>1873-2496</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMGOFCEQhonRuLujj6Dh6KVbaOgGTsaMupqs0YOeCQ2Fy8g0I9CT7Ev5ED6ZbGbWq6eqSv6__qoPoReU9JTQ6fWuX3OKabH9QAbWE9kTMj5Cl1QK1g1cTY9bT4TsKGfqAl2VsiOEcknpU3TBhGBcCXWJ3Ds4QkyHPSwVm8VhOJq4mhrSgpPH9Rbw57C9Bfvzz2_8NadSTQVcoVTsU8Y2hiVYE-MdLuHHEnwb2qLDg7BNFvIz9MSbWOD5uW7Q9w_vv20_djdfrj9t3950llFWOwdGGA-zGI3zyirPBQPlHVOOA-FcKTrK0XoyT2KciZi5bN0s5mGaVHOwDXp12tvyf63tRr0PxUKMZoG0Fj3ISdKByAZsg8aT1LZTSwavDznsTb7TlOh7wHqnz4D1PWBNpG6Am-_lOWKd9-D-uR6INsGbkwDao8cAWRcboFFwIYOt2qXwn4i_ZzOSJg</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Shore, Neal D.</creator><creator>Polikarpov, Dmitry M.</creator><creator>Pieczonka, Christopher M.</creator><creator>Henderson, R. 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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 A. ; Chan, Daniel W. ; Deng, Niantao ; Siddireddy, Jaya Sowjanya ; Lu, Yanling ; Campbell, Douglas H. ; Walsh, Bradley J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-dea7afeb75adf9c9f473e9fd39d4e044991585cf0b675b07b48b67b7b2669df93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biomarker</topic><topic>Biopsy</topic><topic>Clinical study</topic><topic>Clinically significant cancer</topic><topic>Humans</topic><topic>Male</topic><topic>NPV</topic><topic>Predictive Value of Tests</topic><topic>Prostate</topic><topic>Prostate - pathology</topic><topic>Prostate-Specific Antigen</topic><topic>Prostatic Neoplasms - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shore, Neal D.</creatorcontrib><creatorcontrib>Polikarpov, Dmitry M.</creatorcontrib><creatorcontrib>Pieczonka, Christopher M.</creatorcontrib><creatorcontrib>Henderson, R. 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Jonathan</au><au>Bailen, James L.</au><au>Saltzstein, Daniel R.</au><au>Concepcion, Raoul S.</au><au>Beebe-Dimmer, Jennifer L.</au><au>Ruterbusch, Julie J.</au><au>Levin, Rachel A.</au><au>Wissmueller, Sandra</au><au>Le, Thao Ho</au><au>Gillatt, David A.</au><au>Chan, Daniel W.</au><au>Deng, Niantao</au><au>Siddireddy, Jaya Sowjanya</au><au>Lu, Yanling</au><au>Campbell, Douglas H.</au><au>Walsh, Bradley J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and evaluation of the MiCheck® Prostate test for clinically significant prostate cancer</atitle><jtitle>Urologic oncology</jtitle><addtitle>Urol Oncol</addtitle><date>2023-11</date><risdate>2023</risdate><volume>41</volume><issue>11</issue><spage>454.e9</spage><epage>454.e16</epage><pages>454.e9-454.e16</pages><issn>1078-1439</issn><eissn>1873-2496</eissn><abstract>•MiCheck® Prostate was developed to identify men with clinically significant prostate cancer.•The MiCheck® algorithm combines three blood marker results and a DRE result to give a risk score.•The test has AUC 0.85, sensitivity 95% and specificity 50% for clinically significant prostate cancer. There is a clinical need to identify patients with an elevated PSA who would benefit from prostate biopsy due to the presence of clinically significant prostate cancer (CSCaP). We have previously reported the development of the MiCheck® Test for clinically significant prostate cancer. Here, we report MiCheck's further development and incorporation of the Roche Cobas standard clinical chemistry analyzer. To further develop and adapt the MiCheck® Prostate test so it can be performed using a standard clinical chemistry analyzer and characterize its performance using the MiCheck-01 clinical trial sample set. About 358 patient samples from the MiCheck-01 US clinical trial were used for the development of the MiCheck® Prostate test. These consisted of 46 controls, 137 non-CaP, 62 non-CSCaP, and 113 CSCaP. Serum analyte concentrations for cellular growth factors were determined using custom-made Luminex-based R&amp;D Systems multi-analyte kits. Analytes that can also be measured using standard chemistry analyzers were examined for their ability to contribute to an algorithm with high sensitivity for the detection of clinically significant prostate cancer. Samples were then re-measured using a Roche Cobas analyzer for development of the final algorithm. Logistic regression modeling with Monte Carlo cross-validation was used to identify Human Epidydimal Protein 4 (HE4) as an analyte able to significantly improve the algorithm specificity at 95% sensitivity. A final model was developed using analyte measurements from the Cobas analzyer. The MiCheck® logistic regression model was developed and consisted of PSA, %free PSA, DRE, and HE4. The model differentiated clinically significant cancer from no cancer or not-clinically significant cancer with AUC of 0.85, sensitivity of 95%, and specificity of 50%. Applying the MiCheck® test to all evaluable 358 patients from the MiCheck-01 study demonstrated that up to 50% of unnecessary biopsies could be avoided while delaying diagnosis of only 5.3% of Gleason Score (GS) ≥3+4 cancers, 1.8% of GS≥4+3 cancers and no cancers of GS 8 to 10. The MiCheck® Prostate test identifies clinically significant prostate cancer with high sensitivity and negative predictive value (NPV). It can be performed in a clinical laboratory using a Roche Cobas clinical chemistry analyzer. The MiCheck® Prostate test could assist in reducing unnecessary prostate biopsies with a marginal number of patients experiencing a delayed diagnosis.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>37734979</pmid><doi>10.1016/j.urolonc.2023.08.005</doi></addata></record>
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subjects Biomarker
Biopsy
Clinical study
Clinically significant cancer
Humans
Male
NPV
Predictive Value of Tests
Prostate
Prostate - pathology
Prostate-Specific Antigen
Prostatic Neoplasms - pathology
title Development and evaluation of the MiCheck® Prostate test for clinically significant prostate cancer
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