A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes
Ritch E, Herberts C, Warner E, Ng S, Kwan E, Bacon J, Bernales C, Schönlau E, Fonseca N, Giri V, Maurice-Dror C, Vandekerkhove G, Jones S, Chi K, Wyatt A. A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes. Npj Precision Oncology 2023, 7: 27. PMID: 36914848, PMCID: PMC10011564, DOI: 10.1038/s41698-023-00366-z.Peer-Reviewed Original ResearchMetastatic prostate cancerDDR gene alterationsProstate cancerGene alterationsDDR deficiencyOngoing clinical trialsPlasma cell-free DNADNA damage repair defectsLiquid biopsy specimensMismatch repair deficiencyLeukocyte DNA samplesBladder cancer samplesCell-free DNABiopsy specimensBladder cancerClinical trialsTreatment benefitMetastatic prostateInherited risk for prostate cancer (PCa): Following the natural history of men with high-risk genetics using multiparametric MRI (mpMRI).
Couvillon A, Turkbey B, Choyke P, Lee-Wisdom K, McKinney Y, Sidlow R, Mullane M, Giri V, Morgan T, Cheng H, Merino M, Figg W, Pinto P, Dahut W, Karzai F. Inherited risk for prostate cancer (PCa): Following the natural history of men with high-risk genetics using multiparametric MRI (mpMRI). Journal Of Clinical Oncology 2023, 41: 390-390. DOI: 10.1200/jco.2023.41.6_suppl.390.Peer-Reviewed Original ResearchGermline pathogenic variantsProstate cancerActive surveillancePathogenic variantsMedian ageRadiation therapyMonitoring of PCaDiagnosis of PCaDistinct pathogenic variantsHigh-risk geneticsPIRADS 3 lesionsPIRADS 4 lesionsISUP grade group 1Grade group 1Localized prostate cancerMonoallelic pathogenic variantsDNA mismatch repair genesLikely pathogenic variantsProstate cancer diagnosisMismatch repair genesDefinitive treatmentPSA monitoringProstate biopsyBiopsy specimensRisk factors