Assessment of factors associated with PSA level in prostate cancer cases and controls from three geographical regions.

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dc.contributor.author Karunasinghe, Nishi
dc.contributor.author Minas, Tsion Zewdu
dc.contributor.author Bao, Bo-Ying
dc.contributor.author Lee, Arier
dc.contributor.author Wang, Alice
dc.contributor.author Zhu, Shuotun
dc.contributor.author Masters, Jonathan
dc.contributor.author Goudie, Megan
dc.contributor.author Huang, Shu-Pin
dc.contributor.author Jenkins, Frank J
dc.contributor.author Ferguson, Lynnette R
dc.coverage.spatial England
dc.date.accessioned 2022-12-13T21:35:21Z
dc.date.available 2022-12-13T21:35:21Z
dc.date.issued 2022-01-07
dc.identifier.citation (2022). Scientific Reports, 12(1), 55-.
dc.identifier.issn 2045-2322
dc.identifier.uri https://hdl.handle.net/2292/62134
dc.description.abstract It is being debated whether prostate-specific antigen (PSA)-based screening effectively reduces prostate cancer mortality. Some of the uncertainty could be related to deficiencies in the age-based PSA cut-off thresholds used in screening. Current study considered 2779 men with prostate cancer and 1606 men without a cancer diagnosis, recruited for various studies in New Zealand, US, and Taiwan. Association of PSA with demographic, lifestyle, clinical characteristics (for cases), and the aldo-keto reductase 1C3 (AKR1C3) rs12529 genetic polymorphisms were analysed using multiple linear regression and univariate modelling. Pooled multivariable analysis of cases showed that PSA was significantly associated with demographic, lifestyle, and clinical data with an interaction between ethnicity and age further modifying the association. Pooled multivariable analysis of controls data also showed that demographic and lifestyle are significantly associated with PSA level. Independent case and control analyses indicated that factors associated with PSA were specific for each cohort. Univariate analyses showed a significant age and PSA correlation among all cases and controls except for the US-European cases while genetic stratification in cases showed variability of correlation. Data suggests that unique PSA cut-off thresholds factorized with demographics, lifestyle and genetics may be more appropriate for prostate cancer screening.
dc.format.medium Electronic
dc.language eng
dc.publisher Springer Nature
dc.relation.ispartofseries Scientific reports
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Humans
dc.subject Prostatic Neoplasms
dc.subject Prostate-Specific Antigen
dc.subject Mass Screening
dc.subject Body Mass Index
dc.subject Linear Models
dc.subject Case-Control Studies
dc.subject Cohort Studies
dc.subject Life Style
dc.subject Age Factors
dc.subject Demography
dc.subject Polymorphism, Single Nucleotide
dc.subject Adult
dc.subject Aged
dc.subject Aged, 80 and over
dc.subject Middle Aged
dc.subject United States
dc.subject Taiwan
dc.subject New Zealand
dc.subject Male
dc.subject Early Detection of Cancer
dc.subject Young Adult
dc.subject Neoplasm Grading
dc.subject Aldo-Keto Reductase Family 1 Member C3
dc.subject Ethnicity
dc.subject Prostate Cancer
dc.subject Urologic Diseases
dc.subject Aging
dc.subject Prevention
dc.subject Cancer
dc.subject 2 Aetiology
dc.subject 2.1 Biological and endogenous factors
dc.subject Science & Technology
dc.subject Multidisciplinary Sciences
dc.subject Science & Technology - Other Topics
dc.subject ANTIGEN PSA
dc.subject ANDROGEN DEPRIVATION
dc.subject GLEASON SCORES
dc.subject SERUM
dc.subject RISK
dc.subject MEN
dc.subject CONCORDANCE
dc.subject POPULATION
dc.subject RECURRENCE
dc.subject CIGARETTE
dc.title Assessment of factors associated with PSA level in prostate cancer cases and controls from three geographical regions.
dc.type Journal Article
dc.identifier.doi 10.1038/s41598-021-04116-8
pubs.issue 1
pubs.begin-page 55
pubs.volume 12
dc.date.updated 2022-11-10T05:00:48Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 34997089 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/34997089
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, N.I.H., Intramural
pubs.subtype Research Support, Non-U.S. Gov't
pubs.subtype research-article
pubs.subtype Journal Article
pubs.elements-id 880153
pubs.org-id Medical and Health Sciences
pubs.org-id Science
pubs.org-id Biological Sciences
pubs.org-id Medical Sciences
pubs.org-id Auckland Cancer Research
pubs.org-id Population Health
pubs.org-id Epidemiology & Biostatistics
dc.identifier.eissn 2045-2322
dc.identifier.pii 10.1038/s41598-021-04116-8
pubs.number 55
pubs.record-created-at-source-date 2022-11-10
pubs.online-publication-date 2022-01-07


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