2024
Biomarker development for PD-(L)1 axis inhibition: a consensus view from the SITC Biomarkers Committee
Monette A, Warren S, Barrett J, Garnett-Benson C, Schalper K, Taube J, Topp B, Snyder A. Biomarker development for PD-(L)1 axis inhibition: a consensus view from the SITC Biomarkers Committee. Journal For ImmunoTherapy Of Cancer 2024, 12: e009427. PMID: 39032943, PMCID: PMC11261685, DOI: 10.1136/jitc-2024-009427.Peer-Reviewed Original ResearchConceptsProgrammed cell death protein 1/programmed death-ligand 1PD-(L)1Biomarker developmentApplication of novel biomarkersPD-(L)1 therapyDeath-ligand 1Patient selection strategiesCombination therapyTumor typesTreatment optionsImmune biologyAxis inhibitionEffective treatmentCancer progressionNovel biomarkersPatientsTherapyImmunotherapyBiomarkersKnowledge of mechanismsDelivery of effective treatmentTreatmentAgentsTumorProgression
2019
CheckMate 592: a phase 2 exploratory study of biomarkers associated with the efficacy of first-line nivolumab (nivo) plus ipilimumab (ipi) in patients (pts) with stage IV or recurrent NSCLC
Christoph D, Gettinger S, Beck J, Yang X, Telivala B, Morgensztern D, Velcheti V, Ramalingam S, Schalper K, Dajee M, Ranck A, Yang R, Spigel. CheckMate 592: a phase 2 exploratory study of biomarkers associated with the efficacy of first-line nivolumab (nivo) plus ipilimumab (ipi) in patients (pts) with stage IV or recurrent NSCLC. Pneumologie 2019, 73 DOI: 10.1055/s-0039-1678250.Peer-Reviewed Original Research
2018
1503TiP CheckMate 592: A phase II exploratory study of biomarkers associated with the efficacy of first-line nivolumab (nivo) plus ipilimumab (ipi) in patients (pts) with stage IV or recurrent NSCLC
Gettinger S, Beck T, Yang X, Telivala B, Morgensztern D, Velcheti V, Ramalingam S, Schalper K, Dajee M, Ranck A, Yang R, Spigel D. 1503TiP CheckMate 592: A phase II exploratory study of biomarkers associated with the efficacy of first-line nivolumab (nivo) plus ipilimumab (ipi) in patients (pts) with stage IV or recurrent NSCLC. Annals Of Oncology 2018, 29: viii544-viii545. DOI: 10.1093/annonc/mdy292.124.Peer-Reviewed Original Research
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 fieldPredictive Biomarkers for PD-1 Axis Therapies: The Hidden Treasure or a Call for Research
Schalper KA, Kaftan E, Herbst RS. Predictive Biomarkers for PD-1 Axis Therapies: The Hidden Treasure or a Call for Research. Clinical Cancer Research 2016, 22: 2102-2104. PMID: 26957559, PMCID: PMC4940186, DOI: 10.1158/1078-0432.ccr-16-0169.Peer-Reviewed Original Research