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 |
|