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Dynamics of three-dimensional telomere profiles of circulating tumor cells in patients with high-risk prostate cancer who are undergoing androgen deprivation and radiation therapies
Cell Biology, University of Manitoba, CancerCare Manitoba, Winnipeg, Canada / Department of Human Anatomy and Cell Sciences, University of Manitoba, Winnipeg, Canada.
Department of Human Anatomy and Cell Sciences, University of Manitoba, Winnipeg, Canada / Medical Microbiology and Infectious Diseases, Department of Oncology, University of Calgary, Calgary, Alberta, Canada.
University of Skövde, School of Health and Education. Cell Biology, University of Manitoba, CancerCare Manitoba, Winnipeg, Canada / Department of Clinical Genetics, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID iD: 0000-0002-4524-0783
Cell Biology, University of Manitoba, CancerCare Manitoba, Winnipeg, Canada.
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2017 (English)In: Urologic Oncology, ISSN 1078-1439, E-ISSN 1873-2496, Vol. 35, no 3, p. 112.e1-112.e11Article in journal (Refereed) Published
Abstract [en]

Introduction: Accurate assessment and monitoring of the therapeutic efficacy of locally advanced prostate cancer remains a major clinical challenge. Contrary to prostate biopsies, circulating tumor cells (CTCs) are a cellular source repeatedly obtainable by blood sampling and could serve as a surrogate marker for treatment efficacy. In this study, we used size-based filtration to isolate and enumerate CTCs from the blood of 20 patients with high-risk (any one of cT3, Gleason 810, or prostate-specific antigen>20 ng/ml), nonmetastatic, and treatment-naive prostate cancer before and after androgen deprivation therapy (ADT) and radiation therapy (RT).

Materials and methods: We performed 3D telomere-specific quantitative fluorescence in situ hybridization on isolated CTCs to determine 3D telomere profiles for each patient before and throughout the course of both ADT and RT.

Results: Based on the distinct 3D telomere signatures of CTC before treatment, patients were divided into 3 groups. ADT and RT resulted in distinct changes in 3D telomere signatures of CTCs, which were unique for each of the 3 patient groups.

Conclusion: The ability of 3D telomere analysis of CTCs to identify disease heterogeneity among a clinically homogeneous group of patients, which reveals differences in therapeutic responses, provides a new opportunity for better treatment monitoring and management of patients with high-risk prostate cancer. 

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 35, no 3, p. 112.e1-112.e11
Keywords [en]
High-risk prostate cancer, Telomeres, Circulating tumor cells, Biomarkers
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Clinical Medicine
Identifiers
URN: urn:nbn:se:his:diva-13794DOI: 10.1016/j.urolonc.2016.10.018ISI: 000401092000007PubMedID: 27956006Scopus ID: 2-s2.0-85008154395OAI: oai:DiVA.org:his-13794DiVA, id: diva2:1112415
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CC BY-NC-ND 4.0

Available from: 2017-06-20 Created: 2017-06-20 Last updated: 2025-09-29Bibliographically approved

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Awe, Julius

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