2021
240 Discovery of biomarkers of resistance to immune checkpoint blockade in non-small-cell lung cancer (NSCLC) using high-plex digital spatial profiling
Moutafi M, Martinez-Morilla S, Divakar P, Vathiotis I, Gavrielatou N, Aung T, Yaghoobi V, Fernandez A, Fraile J, Schalper K, Rimm D. 240 Discovery of biomarkers of resistance to immune checkpoint blockade in non-small-cell lung cancer (NSCLC) using high-plex digital spatial profiling. 2021, a258-a258. DOI: 10.1136/jitc-2021-sitc2021.240.Peer-Reviewed Original ResearchImmune checkpoint inhibitorsPre-treatment samplesQuantitative immunofluorescencePredictive biomarkersLung cancerHigh PD-L1 expressionExpression of CD66bInitial biomarker discoveryOperable NSCLC patientsStromal immune cellsTwo-sided significance levelPD-L1 expressionImmune checkpoint blockadeRole of neutrophilsCell lung cancerPotential predictive biomarkersGood predictive valueDigital spatial profilingDigital Spatial ProfilerCohort validationICI therapyCheckpoint inhibitorsCheckpoint blockadeNSCLC cohortNSCLC patients
2016
Strategies to design clinical studies to identify predictive biomarkers in cancer research
Perez-Gracia JL, Sanmamed MF, Bosch A, Patiño-Garcia A, Schalper KA, Segura V, Bellmunt J, Tabernero J, Sweeney CJ, Choueiri TK, Martín M, Fusco JP, Rodriguez-Ruiz ME, Calvo A, Prior C, Paz-Ares L, Pio R, Gonzalez-Billalabeitia E, Hernandez A, Páez D, Piulats JM, Gurpide A, Andueza M, de Velasco G, Pazo R, Grande E, Nicolas P, Abad-Santos F, Garcia-Donas J, Castellano D, Pajares MJ, Suarez C, Colomer R, Montuenga LM, Melero I. Strategies to design clinical studies to identify predictive biomarkers in cancer research. Cancer Treatment Reviews 2016, 53: 79-97. PMID: 28088073, DOI: 10.1016/j.ctrv.2016.12.005.Peer-Reviewed Original ResearchConceptsPredictive biomarkersSpecific patient populationsPromising candidate biomarkerCancer researchUnnecessary toxicityPatient populationMultidisciplinary panelClinical studiesReliable biomarkersAnti-cancer drugsCandidate biomarkersClinical designStudy designBiomarkersPromising targetBiomarker identification studiesKey biomarkersDrugsAnticancer drugsEfficient study designStandard practiceToxicityPatientsOncologyPivotal fieldMeta-analysis of tumor PD-L1 expression as a predictive biomarker of benefit from PD-1/PD-L1 axis inhibitors in solid tumors.
Khunger M, Rakshit S, Schalper K, Elson P, Pennell N, Stevenson J, Velcheti V. Meta-analysis of tumor PD-L1 expression as a predictive biomarker of benefit from PD-1/PD-L1 axis inhibitors in solid tumors. Journal Of Clinical Oncology 2016, 34: 11603-11603. DOI: 10.1200/jco.2016.34.15_suppl.11603.Peer-Reviewed Original ResearchPD-1/PD-L1 axis inhibitorsTumor PD-L1 expressionPD-L1 expressionPredictive biomarkersSolid tumorsTumors