2021
Molecular correlates of response to eribulin and pembrolizumab in hormone receptor-positive metastatic breast cancer
Keenan TE, Guerriero JL, Barroso-Sousa R, Li T, O’Meara T, Giobbie-Hurder A, Tayob N, Hu J, Severgnini M, Agudo J, Vaz-Luis I, Anderson L, Attaya V, Park J, Conway J, He MX, Reardon B, Shannon E, Wulf G, Spring LM, Jeselsohn R, Krop I, Lin NU, Partridge A, Winer EP, Mittendorf EA, Liu D, Van Allen EM, Tolaney SM. Molecular correlates of response to eribulin and pembrolizumab in hormone receptor-positive metastatic breast cancer. Nature Communications 2021, 12: 5563. PMID: 34548479, PMCID: PMC8455578, DOI: 10.1038/s41467-021-25769-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntigen PresentationAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBreast NeoplasmsCytokinesDrug Resistance, NeoplasmEstrogensFemaleFuransGene Expression ProfilingGenetic HeterogeneityGenome, HumanGenomicsHumansImmune Checkpoint InhibitorsKetonesLymphocytes, Tumor-InfiltratingMaleMiddle AgedMutationNeoplasm MetastasisReceptors, EstrogenReceptors, ProgesteroneSignal TransductionSurvival RateTreatment OutcomeConceptsImmune checkpoint inhibitorsBreast cancerHormone receptor-positive metastatic breast cancerHormone receptor-positive breast cancerFinal overall survival resultsRandomized phase 2 trialReceptor-positive breast cancerMinimal therapeutic effectPhase 2 trialMetastatic breast cancerOverall survival resultsPre-treatment tumorsCheckpoint inhibitorsCytokine changesICI responseCombination therapyImmune infiltrationImmunoregulatory cytokinesSurvival resultsAntigen presentationTherapeutic effectTherapeutic validationCancerMolecular correlatesTumor heterogeneity
2019
Genomic alterations in breast cancer: level of evidence for actionability according to ESMO Scale for Clinical Actionability of molecular Targets (ESCAT)
Condorelli R, Mosele F, Verret B, Bachelot T, Bedard P, Cortes J, Hyman D, Juric D, Krop I, Bieche I, Saura C, Sotiriou C, Cardoso F, Loibl S, Andre F, Turner N. Genomic alterations in breast cancer: level of evidence for actionability according to ESMO Scale for Clinical Actionability of molecular Targets (ESCAT). Annals Of Oncology 2019, 30: 365-373. PMID: 30715161, DOI: 10.1093/annonc/mdz036.Peer-Reviewed Original ResearchConceptsLevel of evidenceBreast cancerESMO ScaleClinical actionabilityGenomic alterationsMicrosatellite instabilityLarge randomized trialsMolecular targetsBRCA 1/2 mutationsGermline BRCA1/2 mutationsESR1 mutationsPreclinical evidenceNTRK fusionsRandomized trialsPIK3CA mutationsERBB2 mutationsBRCA1/2 mutationsRecurrent genomic alterationsMDM2 amplificationERBB2 amplificationClinical practiceDriver alterationsPTEN lossTumor genomic landscapeAntitumor activity
2016
Response and resistance to BET bromodomain inhibitors in triple-negative breast cancer
Shu S, Lin CY, He HH, Witwicki RM, Tabassum DP, Roberts JM, Janiszewska M, Jin Huh S, Liang Y, Ryan J, Doherty E, Mohammed H, Guo H, Stover DG, Ekram MB, Peluffo G, Brown J, D’Santos C, Krop I, Dillon D, McKeown M, Ott C, Qi J, Ni M, Rao P, Duarte M, Wu S, Chiang C, Anders L, Young R, Winer E, Letai A, Barry W, Carroll J, Long H, Brown M, Shirley Liu X, Meyer C, Bradner J, Polyak K. Response and resistance to BET bromodomain inhibitors in triple-negative breast cancer. Nature 2016, 529: 413-417. PMID: 26735014, PMCID: PMC4854653, DOI: 10.1038/nature16508.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAzepinesBinding, CompetitiveCasein Kinase IICell Cycle ProteinsCell Line, TumorCell ProliferationChromatinDrug Resistance, NeoplasmEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGenome, HumanHumansMediator Complex Subunit 1MiceNuclear ProteinsPhosphorylationPhosphoserineProtein BindingProtein Phosphatase 2Protein Structure, TertiaryProteomicsTranscription FactorsTranscription, GeneticTriazolesTriple Negative Breast NeoplasmsXenograft Model Antitumor Assays
2011
GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays
Li A, Liu Z, Lezon-Geyda K, Sarkar S, Lannin D, Schulz V, Krop I, Winer E, Harris L, Tuck D. GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays. Nucleic Acids Research 2011, 39: 4928-4941. PMID: 21398628, PMCID: PMC3130254, DOI: 10.1093/nar/gkr014.Peer-Reviewed Original Research