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Comparative performance and external validation of the multivariable PREDICT Prostate tool for non-metastatic prostate cancer
Abstract: Background: PREDICT Prostate is an endorsed prognostic model that provides individualised long-term prostate cancer-specific and overall survival estimates. The model, derived from UK data, estimates potential...
Comparative performance and external validation of the multivariable PREDICT Prostate tool for non-metastatic prostate cancer
Abstract: Background: PREDICT Prostate is an endorsed prognostic model that provides individualised long-term prostate cancer-specific and overall survival estimates. The model, derived from UK data, estimates potential...
Comparative performance and external validation of the multivariable PREDICT Prostate tool for non-metastatic prostate cancer
Abstract: Background: PREDICT Prostate is an endorsed prognostic model that provides individualised long-term prostate cancer-specific and overall survival estimates. The model, derived from UK data, estimates potential...
Risk stratification for prostate cancer management
Abstract: Background: The five-tiered Cambridge Prognostic Group (CPG) classification is a better predictor of prostate cancer-specific mortality than the traditional three-tiered classification (low, intermediate, and high...
Prostate cancer in South Africa
Prostate cancer is one of the most common male cancers globally; however little is known about prostate cancer in Africa. Incidence data for prostate cancer in South Africa (SA) from the pathology based National Cancer Registry...
Understanding of prognosis in non-metastatic prostate cancer
PREDICT Prostate is an individualised prognostic model that provides long-term survival estimates for men diagnosed with non-metastatic prostate cancer ( www.prostate.predict.nhs.uk ). In this study clinician estimates of...
Germline variation at 8q24 and prostate cancer risk in men of European ancestry.
Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European...
Risk stratification for prostate cancer management
Abstract: Background: The five-tiered Cambridge Prognostic Group (CPG) classification is a better predictor of prostate cancer-specific mortality than the traditional three-tiered classification (low, intermediate, and high...
A core outcome set for localised prostate cancer effectiveness trials
$\textbf{OBJECTIVE}$: To develop a core outcome set (COS) applicable for effectiveness trials of all interventions for localised prostate cancer. Many treatments exist for localised prostate cancer, although it is unclear which...
Understanding of prognosis in non-metastatic prostate cancer
Abstract: PREDICT Prostate is an individualised prognostic model that provides long-term survival estimates for men diagnosed with non-metastatic prostate cancer (www.prostate.predict.nhs.uk). In this study clinician estimates...
Analysis of the genetic phylogeny of multifocal prostate cancer identifies multiple independent clonal expansions in neoplastic and morphologically normal prostate tissue.
Genome-wide DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of three men. Mutations were present at high levels in...
Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.
Minh-Phuong Huynh-Le, Chun Chieh Fan, Roshan Karunamuni, Wesley K Thompson, Maria Elena Martinez, Rosalind A Eeles, Zsofia Kote-Jarai, Kenneth Muir, Johanna Schleutker, Nora Pashayan, Jyotsna Batra, Henrik Grönberg, David E Neal, Jenny L Donovan, Freddie C Hamdy, Richard M Martin, Sune F Nielsen, Børge G Nordestgaard, Fredrik Wiklund, Catherine M Tangen, Graham G Giles, Alicja Wolk, Demetrius Albanes, Ruth C Travis, William J Blot, Wei Zheng, Maureen Sanderson, Janet L Stanford, Lorelei A Mucci, Catharine ML West, Adam S Kibel, Olivier Cussenot, Sonja I Berndt, Stella Koutros, Karina Dalsgaard Sørensen, Cezary Cybulski, Eli Marie Grindedal, Florence Menegaux, Kay-Tee Khaw, Jong Y Park, Sue A Ingles, Christiane Maier, Robert J Hamilton, Stephen N Thibodeau, Barry S Rosenstein, Yong-Jie Lu, Stephen Watya, Ana Vega, Manolis Kogevinas, Kathryn L Penney, Chad Huff, Manuel R Teixeira, Luc Multigner, Robin J Leach, Lisa Cannon-Albright, Hermann Brenner, Esther M John, Radka Kaneva, Christopher J Logothetis, Susan L Neuhausen, Kim De Ruyck, Hardev Pandha, Azad Razack, Lisa F Newcomb, Jay H Fowke, Marija Gamulin, Nawaid Usmani, Frank Claessens, Manuela Gago-Dominguez, Paul A Townsend, William S Bush, Monique J Roobol, Marie-Élise Parent, Jennifer J Hu, Ian G Mills, Ole A Andreassen, Anders M Dale, Tyler M Seibert, UKGPCS collaborators, APCB (Australian Prostate Cancer BioResource), NC-LA PCaP Investigators, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium
Feb 23, 2021
Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves...
The genomic evolution of human prostate cancer.
T Mitchell, DE Neal
Feb 26, 2018
Prostate cancers are highly prevalent in the developed world, with inheritable risk contributing appreciably to tumour development. Genomic heterogeneity within individual prostate glands and between patients derives...
Origins and functional consequences of somatic mitochondrial DNA mutations in human cancer.
Recent sequencing studies have extensively explored the somatic alterations present in the nuclear genomes of cancers. Although mitochondria control energy metabolism and apoptosis, the origins and impact of cancer-associated...
Active surveillance of prostate cancer
BACKGROUND: Active surveillance is considered a mainstream strategy in the management of patients with low-risk prostate cancer. A mission-critical step in implementing a robust active surveillance program and plan its resource...

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