Prostate Cancer Diagnosis in the Clinic Using an 8‑Protein Biomarker Panel
The inability to distinguish aggressive from indolent prostate cancer is a longstanding clinical problem. Prostate specific antigen (PSA) tests and digital rectal exams cannot differentiate these forms. Because only ∼10% of diagnosed prostate cancer cases are aggressive, existing practice often resu...
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Published in | Analytical chemistry (Washington) Vol. 93; no. 2; pp. 1059 - 1067 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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American Chemical Society
19.01.2021
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Abstract | The inability to distinguish aggressive from indolent prostate cancer is a longstanding clinical problem. Prostate specific antigen (PSA) tests and digital rectal exams cannot differentiate these forms. Because only ∼10% of diagnosed prostate cancer cases are aggressive, existing practice often results in overtreatment including unnecessary surgeries that degrade patients’ quality of life. Here, we describe a fast microfluidic immunoarray optimized to determine 8-proteins simultaneously in 5 μL of blood serum for prostate cancer diagnostics. Using polymeric horseradish peroxidase (poly-HRP, 400 HRPs) labels to provide large signal amplification and limits of detection in the sub-fg mL–1 range, a protocol was devised for the optimization of the fast, accurate assays of 100-fold diluted serum samples. Analysis of 130 prostate cancer patient serum samples revealed that some members of the protein panel can distinguish aggressive from indolent cancers. Logistic regression was used to identify a subset of the panel, combining biomarker proteins ETS-related gene protein (ERG), insulin-like growth factor-1 (IGF-1), pigment epithelial-derived factor (PEDF), and serum monocyte differentiation antigen (CD-14) to predict whether a given patient should be referred for biopsy, which gave a much better predictive accuracy than PSA alone. This represents the first prostate cancer blood test that can predict which patients will have a high biopsy Gleason score, a standard pathology score used to grade tumors. |
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AbstractList | The inability to distinguish aggressive from indolent prostate cancer is a longstanding clinical problem. Prostate specific antigen (PSA) tests and digital rectal exams cannot differentiate these forms. Because only ∼10% of diagnosed prostate cancer cases are aggressive, existing practice often results in overtreatment including unnecessary surgeries that degrade patients' quality of life. Here, we describe a fast microfluidic immunoarray optimized to determine 8-proteins simultaneously in 5 μL of blood serum for prostate cancer diagnostics. Using polymeric horseradish peroxidase (poly-HRP, 400 HRPs) labels to provide large signal amplification and limits of detection in the sub-fg mL
range, a protocol was devised for the optimization of the fast, accurate assays of 100-fold diluted serum samples. Analysis of 130 prostate cancer patient serum samples revealed that some members of the protein panel can distinguish aggressive from indolent cancers. Logistic regression was used to identify a subset of the panel, combining biomarker proteins ETS-related gene protein (ERG), insulin-like growth factor-1 (IGF-1), pigment epithelial-derived factor (PEDF), and serum monocyte differentiation antigen (CD-14) to predict whether a given patient should be referred for biopsy, which gave a much better predictive accuracy than PSA alone. This represents the first prostate cancer blood test that can predict which patients will have a high biopsy Gleason score, a standard pathology score used to grade tumors. The inability to distinguish aggressive from indolent prostate cancer is a longstanding clinical problem. Prostate specific antigen (PSA) tests and digital rectal exams cannot differentiate these forms. Because only ∼10% of diagnosed prostate cancer cases are aggressive, existing practice often results in overtreatment including unnecessary surgeries that degrade patients’ quality of life. Here, we describe a fast microfluidic immunoarray optimized to determine 8-proteins simultaneously in 5 μL of blood serum for prostate cancer diagnostics. Using polymeric horseradish peroxidase (poly-HRP, 400 HRPs) labels to provide large signal amplification and limits of detection in the sub-fg mL–1 range, a protocol was devised for the optimization of the fast, accurate assays of 100-fold diluted serum samples. Analysis of 130 prostate cancer patient serum samples revealed that some members of the protein panel can distinguish aggressive from indolent cancers. Logistic regression was used to identify a subset of the panel, combining biomarker proteins ETS-related gene protein (ERG), insulin-like growth factor-1 (IGF-1), pigment epithelial-derived factor (PEDF), and serum monocyte differentiation antigen (CD-14) to predict whether a given patient should be referred for biopsy, which gave a much better predictive accuracy than PSA alone. This represents the first prostate cancer blood test that can predict which patients will have a high biopsy Gleason score, a standard pathology score used to grade tumors. |
Author | Dey, Dipak K Sharafeldin, Mohamed Baldo, Thaísa A Andrawis, Ramez Watson, R. William Shen, Min Faria, Ronaldo C Rusling, James F Jones, Abby L Dhanapala, Lasangi Krause, Colleen E Lee, Norman H Moghaddam, Shirin |
AuthorAffiliation | Conway Institute of Biomolecular and Biomedical Research University of Hartford Department of Surgery GW Cancer Center School of Mathematical Sciences University College Cork School of Chemistry Department of Urology Department of Chemistry National University of Ireland Galway Institute of Materials Science Federal University of São Carlos Department of Statistics UCD School of Medicine and Medical Science Department of Pharmacology and Physiology UConn Health Center |
AuthorAffiliation_xml | – name: Department of Chemistry – name: University of Hartford – name: School of Mathematical Sciences – name: Department of Statistics – name: Department of Surgery – name: UCD School of Medicine and Medical Science – name: Federal University of São Carlos – name: Department of Urology – name: UConn Health Center – name: National University of Ireland Galway – name: GW Cancer Center – name: University College Cork – name: Department of Pharmacology and Physiology – name: Conway Institute of Biomolecular and Biomedical Research – name: Institute of Materials Science – name: School of Chemistry |
Author_xml | – sequence: 1 givenname: Abby L surname: Jones fullname: Jones, Abby L organization: Department of Chemistry – sequence: 2 givenname: Lasangi surname: Dhanapala fullname: Dhanapala, Lasangi organization: Department of Chemistry – sequence: 3 givenname: Thaísa A surname: Baldo fullname: Baldo, Thaísa A organization: Federal University of São Carlos – sequence: 4 givenname: Mohamed orcidid: 0000-0003-0618-945X surname: Sharafeldin fullname: Sharafeldin, Mohamed organization: Department of Chemistry – sequence: 5 givenname: Colleen E surname: Krause fullname: Krause, Colleen E organization: University of Hartford – sequence: 6 givenname: Min surname: Shen fullname: Shen, Min organization: Department of Chemistry – sequence: 7 givenname: Shirin surname: Moghaddam fullname: Moghaddam, Shirin organization: University College Cork – sequence: 8 givenname: Ronaldo C orcidid: 0000-0003-1094-9597 surname: Faria fullname: Faria, Ronaldo C organization: Federal University of São Carlos – sequence: 9 givenname: Dipak K surname: Dey fullname: Dey, Dipak K organization: Department of Statistics – sequence: 10 givenname: R. William surname: Watson fullname: Watson, R. William organization: UCD School of Medicine and Medical Science – sequence: 11 givenname: Ramez surname: Andrawis fullname: Andrawis, Ramez organization: Department of Urology – sequence: 12 givenname: Norman H surname: Lee fullname: Lee, Norman H organization: GW Cancer Center – sequence: 13 givenname: James F orcidid: 0000-0002-6117-3306 surname: Rusling fullname: Rusling, James F email: james.rusling@uconn.edu organization: UConn Health Center |
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Snippet | The inability to distinguish aggressive from indolent prostate cancer is a longstanding clinical problem. Prostate specific antigen (PSA) tests and digital... |
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SubjectTerms | Antigens Biomarkers Biomarkers, Tumor - blood Biopsy Blood Chemistry Growth factors Horseradish peroxidase Humans Immunoassay Insulin Insulin-like growth factor I Male Microfluidic Analytical Techniques Microfluidics Monocytes Neoplasm Proteins - blood Optimization Patients Peroxidase Prostate cancer Prostatic Neoplasms - blood Prostatic Neoplasms - diagnosis Proteins Quality Quality of life Rectum Regression analysis Surgery Tumors |
Title | Prostate Cancer Diagnosis in the Clinic Using an 8‑Protein Biomarker Panel |
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