Topic · Urology · Medicine
OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.
8 papers
Jingzhan Lu, Ge Chen, Samuel WD Merriel, Michael N. Weedon, Anna Murray, Sarah E. R. Bailey, Harry Green
The paper combines genetic risk scores with PSA test results and age to improve prostate cancer prediction, showing better performance than using either method alone.
medRxiv · May 18, 2026 · PreprintGenetic & Genomic Medicine
Jason L. Vassy, Anna M. Dornisch, Roshan A. Karunamuni, Michael Gatzen, C. Kachulis, Niall J. Lennon, Charles A. Brunette, Morgan E. Danowski, Richard L. Hauger, Isla P. Garraway, Adam Stuart Kibel, Kyung Min Lee, Julie Ann Lynch, Kara N. Maxwell, Brent Shane Rose, , Tyler M. Seibert
The paper develops a polygenic risk model for prostate cancer using VA data and validates it in external cohorts, showing its clinical utility in risk stratification.
medRxiv · Nov 3, 2024 · PreprintGenetic & Genomic Medicine
Linda Kachuri, Thomas J. Hoffmann, Yu Jiang, Sonja I. Berndt, John P. Shelley, Kerry Roe Schaffer, Mitchell J. Machiela, Neal D. Freedman, Wen‐Yi Huang, Shengchao A. Li, Ryder Easterlin, Phyllis J. Goodman, Cathee Till, Ian Murchie Thompson, Hans G. Lilja, , John S. Witte
This study develops a polygenic score to adjust PSA levels, improving the detection of aggressive prostate cancer while reducing unnecessary biopsies.
Nature Medicine · Jun 1, 2023Peer-reviewedGenetic & Genomic Medicine
Sandy Figiel, W. Yin, Dimitrios Doultsinos, A.M. Erickson, Ninu Poulose, Roshan Ajeet Singh, A. Magnussen, Thineskrishna Anbarasan, Renuka Teague, Mengxiao He, Joakim Lundeberg, Massimo F. Loda, Clare Verrill, Richard Colling, Pelvender S. Gill, , Alastair D. Lamb
The paper uses spatial transcriptomic data to show that bulk genomic signature scoring in prostate cancer biopsies is confounded by tumour heterogeneity, leading to inaccurate risk assessments.
European Urology · Feb 1, 2023Peer-reviewedGenomics
Minh‐Phuong Huynh‐Le, Roshan A. Karunamuni, Chun Chieh Fan, Wesley Kurt Thompson, Kenneth Ross Muir, Artitaya Lophatananon, Karen E. Tye, Alicja Wolk, Niclas Håkansson, Ian Geoffrey Mills, Ole A. Andreassen, Anders Martin Dale, Tyler M. Seibert
This study evaluates if adding polygenic hazard scores to clinical variables improves association with fatal prostate cancer in the Cohort of Swedish Men.
Prostate Cancer and Prostatic Diseases · Mar 15, 2021Peer-reviewedGenetic & Genomic Medicine
Minh‐Phuong Huynh‐Le, Chun Chieh Fan, Roshan A. Karunamuni, Eleanor I. Walsh, Emma L. Turner, J. Athene Lane, Richard Michael Martin, David Edgar Neal, Jenny Donovan, Freddie Charles Hamdy, John Kellogg Parsons, Rosalind A. Eeles, Douglas F. Easton, Zsofia Kote‐Jarai, Ali Amin Al Olama, , Tyler M. Seibert
The paper evaluates a polygenic hazard score for prostate cancer screening, showing it improves positive predictive value by adjusting screening age based on genetic risk.
bioRxiv · Apr 26, 2019 · PreprintGenetics
Takumi Takeuchi, M. Hattori, Yumiko Okuno, Satoshi Iwai, Koji Mikami
This study uses a multilayer artificial neural network to predict prostate cancer detection rates from biopsy data, finding it slightly more accurate than logistic regression.
Canadian Urological Association Journal · Oct 15, 2018Peer-reviewedBioinformatics
Tyler M. Seibert, Chun Chieh Fan, Yunpeng Wang, Verena Zuber, Roshan A. Karunamuni, John Kellogg Parsons, Rosalind A. Eeles, Douglas F. Easton, Zsofia Kote‐Jarai, Ali Amin Al Olama, Sara Benlloch Garcia, Kenneth Ross Muir, Henrik Grönberg, Fredrik E. Wiklund, Markus Aly, , Anders Martin Dale
This paper develops a genetic risk score to personalize prostate cancer screening age based on polygenic hazard scores and validates its predictive power in a separate dataset.
bioRxiv · Nov 25, 2016 · PreprintGenetics