2023
Circulating tumor DNA reveals mechanisms of lorlatinib resistance in patients with relapsed/refractory ALK-driven neuroblastoma
Berko E, Witek G, Matkar S, Petrova Z, Wu M, Smith C, Daniels A, Kalna J, Kennedy A, Gostuski I, Casey C, Krytska K, Gerelus M, Pavlick D, Ghazarian S, Park J, Marachelian A, Maris J, Goldsmith K, Radhakrishnan R, Lemmon M, Mossé Y. Circulating tumor DNA reveals mechanisms of lorlatinib resistance in patients with relapsed/refractory ALK-driven neuroblastoma. Nature Communications 2023, 14: 2601. PMID: 37147298, PMCID: PMC10163008, DOI: 10.1038/s41467-023-38195-0.Peer-Reviewed Original ResearchConceptsAnaplastic lymphoma kinaseLorlatinib resistanceTumor DNAPhase 1 trialCirculating tumor DNAPre-clinical studiesResistance mechanismsTumor DNA samplesALK mutationsDisease progressionHeterogeneity of tumorsClinical utilityRAS-MAPK pathwayTherapeutic strategiesLymphoma kinasePatientsResistance mutationsNeuroblastomaProgressionTrialsMutationsBiochemical assaysDNA samplesPoint mutationsLorlatinib
2019
Computational algorithms for in silico profiling of activating mutations in cancer
Jordan EJ, Patil K, Suresh K, Park JH, Mosse YP, Lemmon MA, Radhakrishnan R. Computational algorithms for in silico profiling of activating mutations in cancer. Cellular And Molecular Life Sciences 2019, 76: 2663-2679. PMID: 30982079, PMCID: PMC6589134, DOI: 10.1007/s00018-019-03097-2.Peer-Reviewed Original ResearchConceptsTarget proteinsSingle nucleotide polymorphismsB-RafSerine/threonine-protein kinase B-RafDifferent target proteinsEffects of mutationsStructure-based computational approachKinase domainStructure-based methodsStructure-based modelProtein structureProtein activationSilico profilingAnaplastic lymphoma kinaseInteraction of inhibitorsMutational landscapeHuman cancersPoint mutationsProteinMutationsMutational patternsDifferent mutationsActivation statusComputational approachLymphoma kinase