2023
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 prostate
2020
Clinical Implications of Germline Testing in Newly Diagnosed Prostate Cancer
Loeb S, Giri V. Clinical Implications of Germline Testing in Newly Diagnosed Prostate Cancer. European Urology Oncology 2020, 4: 1-9. PMID: 33390340, DOI: 10.1016/j.euo.2020.11.011.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGermline testingLocalized diseaseMetastatic PCaFamily historyGermline evaluationMetastatic diseaseCurrent guidelinesProstate cancerCancer riskPractice settingsGenetic testingDNA mismatch repair deficiencyManagement of menProstate cancer managementFamily cancer riskEarly-stage PCaMismatch repair deficiencyHereditary cancer riskPathologic featuresHistologic featuresMedical oncologyCancer screeningPCa managementPCa riskConsensus panel