Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379160823> ?p ?o ?g. }
- W4379160823 endingPage "B046" @default.
- W4379160823 startingPage "B046" @default.
- W4379160823 abstract "Abstract Purpose: Latent Grade Group (GG) ≥2 prostate cancer can impact the performance of active surveillance (AS) protocols. To date, molecular biomarkers for AS have relied solely on RNA or protein. We trained and independently validated multimodal (mRNA abundance, DNA methylation, and DNA copy number) biomarkers that more accurately separate GG1 from GG≥2 cancers. Materials and Methods: Low- and intermediate-risk prostate cancer patients were assigned to training (n=333) and validation (n=202) cohorts. We profiled the abundance of 342 mRNAs, 100 DNA copy number aberration (CNA) loci and 14 hypermethylation sites at two locations per tumor. Using the training cohort with cross- validation, we evaluated methods for training classifiers of pathologic GG≥2 in centrally reviewed radical prostectomies (RPs). We trained two distinct classifiers, PRONTO-e and PRONTO-m, and validated them in an independent RP cohort. Results: PRONTO-e comprises 353 mRNA and CNA features. PRONTO-m includes 94 clinical, mRNAs, CNAs and methylation features at 14 and 12 loci, respectively. In independent validation, PRONTO-e and PRONTO-m predicted GG≥2 with respective true positive rates of 0.81 and 0.76, false positive rates of 0.43 and 0.26. Both classifiers were resistant to sampling error and identified more upgraded men than a well-validated pre-surgical risk calculator, CAPRA (p <0.001). Conclusions: Two GG classifiers with superior accuracy were developed by incorporating RNA and DNA features and validated in an independent cohort. Upon further validation in biopsy samples, classifiers with these performance characteristics could refine selection of men for AS, extending their treatment-free survival and intervals between surveillance. Citation Format: Anna Y. Lee, David M. Berman, Robert Lesurf, Palak G. Patel, Walead Ebrahimizadeh, Jane Bayani, Laura A. Lee, Nadia Boufaied, Shamini Selvarajah, Tamara Jamaspishvili, Karl-Philippe Guérard, Dan Dion, Atsunari Kawashima, Gina M. Clarke, Nathan How, Chelsea L. Jackson, Eleonora Scarlata, Khurram Siddiqui, John B.A. Okello, Armen G. Aprikian, Madeleine Moussa, Antonio Finelli, Joseph Chin, Fadi Brimo, Glenn Bauman, Andrew Loblaw, Vasundara Venkateswaran, Ralph Buttyan, Simone Chevalier, Axel Thomson, Paul C. Park, D. Robert Siemens, Jacques Lapointe, Paul C. Boutros, John M.S. Bartlett. Multimodal biomarkers that predict the presence of Gleason pattern 4: Potential impact for active surveillance [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr B046." @default.
- W4379160823 created "2023-06-03" @default.
- W4379160823 creator A5000041025 @default.
- W4379160823 creator A5003288354 @default.
- W4379160823 creator A5005611625 @default.
- W4379160823 creator A5007657275 @default.
- W4379160823 creator A5011409835 @default.
- W4379160823 creator A5012639182 @default.
- W4379160823 creator A5013046821 @default.
- W4379160823 creator A5014286319 @default.
- W4379160823 creator A5015280306 @default.
- W4379160823 creator A5019768466 @default.
- W4379160823 creator A5020382116 @default.
- W4379160823 creator A5022278933 @default.
- W4379160823 creator A5024607247 @default.
- W4379160823 creator A5030341447 @default.
- W4379160823 creator A5030548401 @default.
- W4379160823 creator A5031981341 @default.
- W4379160823 creator A5034211195 @default.
- W4379160823 creator A5035624027 @default.
- W4379160823 creator A5046074056 @default.
- W4379160823 creator A5046888497 @default.
- W4379160823 creator A5047248767 @default.
- W4379160823 creator A5053521076 @default.
- W4379160823 creator A5055091318 @default.
- W4379160823 creator A5055368367 @default.
- W4379160823 creator A5058902093 @default.
- W4379160823 creator A5060974867 @default.
- W4379160823 creator A5062106369 @default.
- W4379160823 creator A5069078576 @default.
- W4379160823 creator A5072703799 @default.
- W4379160823 creator A5074605625 @default.
- W4379160823 creator A5082328497 @default.
- W4379160823 creator A5085381551 @default.
- W4379160823 creator A5088388062 @default.
- W4379160823 creator A5088442918 @default.
- W4379160823 creator A5091359426 @default.
- W4379160823 date "2023-06-02" @default.
- W4379160823 modified "2023-09-26" @default.
- W4379160823 title "Abstract B046: Multimodal biomarkers that predict the presence of Gleason pattern 4: Potential impact for active surveillance" @default.
- W4379160823 doi "https://doi.org/10.1158/1538-7445.prca2023-b046" @default.
- W4379160823 hasPublicationYear "2023" @default.
- W4379160823 type Work @default.
- W4379160823 citedByCount "0" @default.
- W4379160823 crossrefType "journal-article" @default.
- W4379160823 hasAuthorship W4379160823A5000041025 @default.
- W4379160823 hasAuthorship W4379160823A5003288354 @default.
- W4379160823 hasAuthorship W4379160823A5005611625 @default.
- W4379160823 hasAuthorship W4379160823A5007657275 @default.
- W4379160823 hasAuthorship W4379160823A5011409835 @default.
- W4379160823 hasAuthorship W4379160823A5012639182 @default.
- W4379160823 hasAuthorship W4379160823A5013046821 @default.
- W4379160823 hasAuthorship W4379160823A5014286319 @default.
- W4379160823 hasAuthorship W4379160823A5015280306 @default.
- W4379160823 hasAuthorship W4379160823A5019768466 @default.
- W4379160823 hasAuthorship W4379160823A5020382116 @default.
- W4379160823 hasAuthorship W4379160823A5022278933 @default.
- W4379160823 hasAuthorship W4379160823A5024607247 @default.
- W4379160823 hasAuthorship W4379160823A5030341447 @default.
- W4379160823 hasAuthorship W4379160823A5030548401 @default.
- W4379160823 hasAuthorship W4379160823A5031981341 @default.
- W4379160823 hasAuthorship W4379160823A5034211195 @default.
- W4379160823 hasAuthorship W4379160823A5035624027 @default.
- W4379160823 hasAuthorship W4379160823A5046074056 @default.
- W4379160823 hasAuthorship W4379160823A5046888497 @default.
- W4379160823 hasAuthorship W4379160823A5047248767 @default.
- W4379160823 hasAuthorship W4379160823A5053521076 @default.
- W4379160823 hasAuthorship W4379160823A5055091318 @default.
- W4379160823 hasAuthorship W4379160823A5055368367 @default.
- W4379160823 hasAuthorship W4379160823A5058902093 @default.
- W4379160823 hasAuthorship W4379160823A5060974867 @default.
- W4379160823 hasAuthorship W4379160823A5062106369 @default.
- W4379160823 hasAuthorship W4379160823A5069078576 @default.
- W4379160823 hasAuthorship W4379160823A5072703799 @default.
- W4379160823 hasAuthorship W4379160823A5074605625 @default.
- W4379160823 hasAuthorship W4379160823A5082328497 @default.
- W4379160823 hasAuthorship W4379160823A5085381551 @default.
- W4379160823 hasAuthorship W4379160823A5088388062 @default.
- W4379160823 hasAuthorship W4379160823A5088442918 @default.
- W4379160823 hasAuthorship W4379160823A5091359426 @default.
- W4379160823 hasConcept C104317684 @default.
- W4379160823 hasConcept C121608353 @default.
- W4379160823 hasConcept C126322002 @default.
- W4379160823 hasConcept C143998085 @default.
- W4379160823 hasConcept C150194340 @default.
- W4379160823 hasConcept C190727270 @default.
- W4379160823 hasConcept C2775934546 @default.
- W4379160823 hasConcept C2780192828 @default.
- W4379160823 hasConcept C54355233 @default.
- W4379160823 hasConcept C71924100 @default.
- W4379160823 hasConcept C72563966 @default.
- W4379160823 hasConcept C86803240 @default.
- W4379160823 hasConceptScore W4379160823C104317684 @default.
- W4379160823 hasConceptScore W4379160823C121608353 @default.
- W4379160823 hasConceptScore W4379160823C126322002 @default.
- W4379160823 hasConceptScore W4379160823C143998085 @default.
- W4379160823 hasConceptScore W4379160823C150194340 @default.
- W4379160823 hasConceptScore W4379160823C190727270 @default.