Volume 79, Issue 14 pp. 1705-1714
ORIGINAL ARTICLE

A three-gene DNA methylation biomarker accurately classifies early stage prostate cancer

Palak G. Patel PhD

Palak G. Patel PhD

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Thomas Wessel BSc

Thomas Wessel BSc

Life Sciences Group, Thermo Fisher Scientific, Waltham, Massachusetts

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Atsunari Kawashima MD, PhD

Atsunari Kawashima MD, PhD

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

Department of Urology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan

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John B. A. Okello PhD

John B. A. Okello PhD

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada

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Tamara Jamaspishvili MD, PhD

Tamara Jamaspishvili MD, PhD

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Karl-Philippe Guérard PhD

Karl-Philippe Guérard PhD

Division of Urology, Department of Surgery, McGill University and the Research Institute of the McGill University Health Centre, Montreal, Québec, Canada

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Laura Lee MSc

Laura Lee MSc

Ontario Institute for Cancer Research (OICR), Toronto, Ontario, Canada

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Anna Ying-Wah Lee PhD

Anna Ying-Wah Lee PhD

Ontario Institute for Cancer Research (OICR), Toronto, Ontario, Canada

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Nathan E. How MD

Nathan E. How MD

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Dan Dion BA

Dan Dion BA

Ontario Institute for Cancer Research (OICR), Toronto, Ontario, Canada

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Eleonora Scarlata PhD

Eleonora Scarlata PhD

Division of Urology, Department of Surgery, McGill University and the Research Institute of the McGill University Health Centre, Montreal, Québec, Canada

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Chelsea L. Jackson BSc

Chelsea L. Jackson BSc

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Suzanne Boursalie BSc

Suzanne Boursalie BSc

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Tanya Sack BSc

Tanya Sack BSc

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Rachel Dunn BSc

Rachel Dunn BSc

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

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Madeleine Moussa MBBCh

Madeleine Moussa MBBCh

Division of Surgical Pathology, Departmant of Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada

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Karen Mackie/

Karen Mackie/

Division of Surgical Pathology, Departmant of Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada

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Audrey Ellis

Audrey Ellis

Division of Surgical Pathology, Departmant of Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada

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Elizabeth Marra

Elizabeth Marra

Division of Surgical Pathology, Departmant of Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada

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Joseph Chin MD

Joseph Chin MD

Department of Surgery (Urology), London Health Sciences Centre, London, ON, Canada

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Khurram Siddiqui MBBS

Khurram Siddiqui MBBS

Department of Surgery (Urology), London Health Sciences Centre, London, ON, Canada

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Khalil Hetou MBBS

Khalil Hetou MBBS

Department of Surgery (Urology), London Health Sciences Centre, London, ON, Canada

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Lee-Anne Pickard

Lee-Anne Pickard

Ontario Tumor Bank, Toronto, Ontario, Canada

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Vinolia Arthur-Hayward

Vinolia Arthur-Hayward

Ontario Tumor Bank, Toronto, Ontario, Canada

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Glenn Bauman MD

Glenn Bauman MD

Division of Radiation Oncology, London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada

Department of Physics and Astronomy, University of Western Ontario, London, Ontario, Canada

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Simone Chevalier MD

Simone Chevalier MD

Division of Urology, Department of Surgery, McGill University and the Research Institute of the McGill University Health Centre, Montreal, Québec, Canada

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Fadi Brimo MD

Fadi Brimo MD

Department of Pathology, McGill University Health Center and McGill University, Montreal, Québec, Canada

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Paul C. Boutros PhD

Paul C. Boutros PhD

Ontario Institute for Cancer Research (OICR), Toronto, Ontario, Canada

Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

Departments of Urology and Human Genetics, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA

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Jacques Lapointe PhD

Jacques Lapointe PhD

Division of Urology, Department of Surgery, McGill University and the Research Institute of the McGill University Health Centre, Montreal, Québec, Canada

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John M. S. Bartlett PhD

John M. S. Bartlett PhD

Diagnostic Development, Ontario Institute for Cancer Research (OICR), Toronto, Ontario, Canada

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Robert J. Gooding PhD

Robert J. Gooding PhD

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, Ontario, Canada

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David M. Berman MD, PhD

Corresponding Author

David M. Berman MD, PhD

Department of Pathology & Molecular Medicine, Queen's University, Kingston, Ontario, Canada

Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada

Correspondence David M. Berman, Division of Cancer Biology & Genetics, Queen's Cancer Research Institute, Queen's University, 10 Stuart St, QCRI 302A, Kingston, ON K7L 3N6, Canada.

Email: [email protected]

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First published: 21 August 2019
Citations: 30

Abstract

Background

We identify and validate accurate diagnostic biomarkers for prostate cancer through a systematic evaluation of DNA methylation alterations.

Materials and methods

We assembled three early prostate cancer cohorts (total patients = 699) from which we collected and processed over 1300 prostatectomy tissue samples for DNA extraction. Using real-time methylation-specific PCR, we measured normalized methylation levels at 15 frequently methylated loci. After partitioning sample sets into independent training and validation cohorts, classifiers were developed using logistic regression, analyzed, and validated.

Results

In the training dataset, DNA methylation levels at 7 of 15 genomic loci (glutathione S-transferase Pi 1 [GSTP1], CCDC181, hyaluronan, and proteoglycan link protein 3 [HAPLN3], GSTM2, growth arrest-specific 6 [GAS6], RASSF1, and APC) showed large differences between cancer and benign samples. The best binary classifier was the GAS6/GSTP1/HAPLN3 logistic regression model, with an area under these curves of 0.97, which showed a sensitivity of 94%, and a specificity of 93% after external validation.

Conclusion

We created and validated a multigene model for the classification of benign and malignant prostate tissue. With false positive and negative rates below 7%, this three-gene biomarker represents a promising basis for more accurate prostate cancer diagnosis.

CONFLICT OF INTERESTS

The authors declare that there is no conflict of interests.

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