2024
Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction
Li X, Liu T, Bacchiocchi A, Li M, Cheng W, Wittkop T, Mendez F, Wang Y, Tang P, Yao Q, Bosenberg M, Sznol M, Yan Q, Faham M, Weng L, Halaban R, Jin H, Hu Z. Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction. EMBO Molecular Medicine 2024, 16: 2188-2209. PMID: 39164471, PMCID: PMC11393307, DOI: 10.1038/s44321-024-00115-0.Peer-Reviewed Original ResearchMolecular residual diseaseCirculating tumor DNAWhole-genome sequencingCell-free DNAGenome sequenceDetection of molecular residual diseaseCirculating tumor DNA detectionResidual disease detectionConsistent with clinical outcomesVariant allele frequencyResidual diseaseMelanoma patientsMonitoring immunotherapyTumor DNAEsophageal cancerClinical outcomesColorectal cancerWGS technologiesAllele frequenciesCancerDNAAnalytical sensitivitySequenceImmunotherapyRelapse
2020
21 Plasma-based proteomic profiling as a tool for predicting response to immunotherapy in melanoma patients
Harel M, Lahav C, Jacob E, Issler E, Bar H, Dicker A, Sharon O, Bacchiocchi A, Halaban R, Sznol M, Shaked Y. 21 Plasma-based proteomic profiling as a tool for predicting response to immunotherapy in melanoma patients. Journal For ImmunoTherapy Of Cancer 2020, 8: a11-a12. DOI: 10.1136/jitc-2020-sitc2020.0021.Peer-Reviewed Original ResearchImmune checkpoint inhibitorsMelanoma patientsClinical outcomesHost responseNon-small cell lung cancerCell lung cancerNon-responder groupPlasma samplesPro-metastatic effectsAnti-tumor activityPredictive biomarker discoveryProteomic profilingPlasma proteomic analysisAnti-cancer therapyICI therapyCheckpoint inhibitorsRECIST criteriaLung cancerTreatment modalitiesMechanisms of resistanceIndependent cohortPatientsTumor progressionPredictive signatureImmunotherapyA proteomic biomarker discovery platform for predicting clinical benefit of immunotherapy in advanced melanoma.
Shaked Y, Harel M, Issler E, Fremder E, Jacob E, Dahan N, Bar H, Halaban R, Sznol M, Sharon O. A proteomic biomarker discovery platform for predicting clinical benefit of immunotherapy in advanced melanoma. Journal Of Clinical Oncology 2020, 38: 10037-10037. DOI: 10.1200/jco.2020.38.15_suppl.10037.Peer-Reviewed Original ResearchClinical benefitAdvanced melanomaMelanoma patientsTreatment modalitiesPD-1/PD-L1 axisAnti-PD-1 monotherapyCheckpoint inhibitor-based immunotherapyRemarkable clinical benefitAdvanced melanoma patientsPD-L1 axisImmune checkpoint inhibitor-based immunotherapyNon-responder groupNovel predictive biomarkerOngoing prospective studyPlasma samplesHost-mediated mechanismsHost-mediated responsesStable diseaseCancer treatment modalitiesClinical responseClinical outcomesEntire cohortProspective studyCombination therapyCTLA-4
2017
Single-cell cytokine profiling of tumor-infiltrating T cells to measure patient responses to anti-PD-1 therapy.
Mackay S, Flynn B, Morse K, Paczkowski P, Bacchiocchi A, Fan R, Halaban R, Zhou J. Single-cell cytokine profiling of tumor-infiltrating T cells to measure patient responses to anti-PD-1 therapy. Journal Of Clinical Oncology 2017, 35: 49-49. DOI: 10.1200/jco.2017.35.7_suppl.49.Peer-Reviewed Original ResearchTumor-infiltrating T lymphocytesAnti-PD-1 therapyClinical outcomesCytokine profilingAnti-tumor T cell functionAnti-tumor T cell immunityTumor-infiltrating T cellsMIP-1 αAnti-tumor immunityT cell immunityResponse of patientsT cell functionCell immunityCheckpoint immunotherapyMelanoma patientsIL-8Metastatic melanomaCancer patientsTIL functionTIL analysisPatient responseT cellsT lymphocytesGranzyme BImmune function
2011
Integrated NY-ESO-1 antibody and CD8+ T-cell responses correlate with clinical benefit in advanced melanoma patients treated with ipilimumab
Yuan J, Adamow M, Ginsberg BA, Rasalan TS, Ritter E, Gallardo HF, Xu Y, Pogoriler E, Terzulli SL, Kuk D, Panageas KS, Ritter G, Sznol M, Halaban R, Jungbluth AA, Allison JP, Old LJ, Wolchok JD, Gnjatic S. Integrated NY-ESO-1 antibody and CD8+ T-cell responses correlate with clinical benefit in advanced melanoma patients treated with ipilimumab. Proceedings Of The National Academy Of Sciences Of The United States Of America 2011, 108: 16723-16728. PMID: 21933959, PMCID: PMC3189057, DOI: 10.1073/pnas.1110814108.Peer-Reviewed Original ResearchConceptsNY-ESO-1-seropositive patientsNY-ESO-1 antibodyT cell responsesClinical benefitImmune responseIpilimumab treatmentNY-ESO-1 immune responsesNY-ESO-1 serum antibodyTumor antigen-specific immune responsesCytotoxic T-lymphocyte antigen-4NY-ESO-1 immunityT-lymphocyte antigen-4Antigen-specific immune responsesIpilimumab-treated patientsAdvanced melanoma patientsAdvanced metastatic melanomaCancer/testis antigensSubset of patientsNY-ESO-1Significant survival advantageCD8 responsesAdoptive transferClinical outcomesMelanoma patientsProspective study