2018
Spatially Resolved and Quantitative Analysis of VISTA/PD-1H as a Novel Immunotherapy Target in Human Non–Small Cell Lung Cancer
Villarroel-Espindola F, Yu X, Datar I, Mani N, Sanmamed M, Velcheti V, Syrigos K, Toki M, Zhao H, Chen L, Herbst RS, Schalper KA. Spatially Resolved and Quantitative Analysis of VISTA/PD-1H as a Novel Immunotherapy Target in Human Non–Small Cell Lung Cancer. Clinical Cancer Research 2018, 24: 1562-1573. PMID: 29203588, PMCID: PMC5884702, DOI: 10.1158/1078-0432.ccr-17-2542.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntigens, CDAntigens, Differentiation, MyelomonocyticB7 AntigensB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCD8-Positive T-LymphocytesEvaluation Studies as TopicFemaleGene Expression Regulation, NeoplasticHumansImmunologic FactorsImmunotherapyLung NeoplasmsMaleMembrane ProteinsMutationProgrammed Cell Death 1 ReceptorRetrospective StudiesConceptsNon-small cell lung cancerHuman non-small cell lung cancerT helper cellsCytotoxic T cellsT cellsPD-1Localized expression patternQuantitative immunofluorescenceTumor-infiltrating lymphocytesCell lung cancerLung cancer casesGenomic analysisTissue microarray formatTumor-associated macrophagesPD-L1 proteinCytoplasmic staining patternClin Cancer ResExpression patternsLow mutational burdenTumor epithelial cellsSpecific genomic alterationsVISTA expressionVISTA proteinPD-L1Immunomodulatory roleMolecular Determinants of Response to Anti–Programmed Cell Death (PD)-1 and Anti–Programmed Death-Ligand (PD-L)-Ligand 1 Blockade in Patients With Non–Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing
Rizvi H, Sanchez-Vega F, La K, Chatila W, Jonsson P, Halpenny D, Plodkowski A, Long N, Sauter JL, Rekhtman N, Hollmann T, Schalper KA, Gainor JF, Shen R, Ni A, Arbour KC, Merghoub T, Wolchok J, Snyder A, Chaft JE, Kris MG, Rudin CM, Socci ND, Berger MF, Taylor BS, Zehir A, Solit DB, Arcila ME, Ladanyi M, Riely GJ, Schultz N, Hellmann MD. Molecular Determinants of Response to Anti–Programmed Cell Death (PD)-1 and Anti–Programmed Death-Ligand (PD-L)-Ligand 1 Blockade in Patients With Non–Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing. Journal Of Clinical Oncology 2018, 36: jco.2017.75.338. PMID: 29337640, PMCID: PMC6075848, DOI: 10.1200/jco.2017.75.3384.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsDurable clinical benefitTumor mutation burdenPD-L1 expressionCell lung cancerTargeted Next-Generation SequencingWhole-exome sequencingLung cancerNext-generation sequencingPartial response/stable diseaseUse of ICIsAnti-programmed death-1Response/stable diseaseSolid Tumors version 1.1Anti-programmed cell deathProgression-free survivalResponse Evaluation CriteriaSubset of patientsPredictors of responseMultivariable predictive modelDetailed clinical annotationLack of benefitStable diseaseCheckpoint inhibitorsDurable responses
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 fieldEGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma
Toki MI, Carvajal-Hausdorf DE, Altan M, McLaughlin J, Henick B, Schalper KA, Syrigos KN, Rimm DL. EGFR-GRB2 Protein Colocalization Is a Prognostic Factor Unrelated to Overall EGFR Expression or EGFR Mutation in Lung Adenocarcinoma. Journal Of Thoracic Oncology 2016, 11: 1901-1911. PMID: 27449805, PMCID: PMC5075503, DOI: 10.1016/j.jtho.2016.06.025.Peer-Reviewed Original ResearchConceptsEGFR pathway activationSeries of patientsLung adenocarcinomaMutation statusEGFR expressionPathway activationProximity ligation assayKRAS wild-type tumorsEGFR-mutant patientsKRAS-mutant casesCohort of patientsWild-type tumorsInteraction of EGFREGFR expression levelsEGFR protein expressionMAPK/ERK pathwayGrowth factor receptorActive EGFRPrognostic factorsDifferent mutation statusPatient groupPrognostic valueLonger survivalEGFR mutationsPrognostic marker
2014
Automated Objective Determination of Percentage of Malignant Nuclei for Mutation Testing
Viray H, Coulter M, Li K, Lane K, Madan A, Mitchell K, Schalper K, Hoyt C, Rimm DL. Automated Objective Determination of Percentage of Malignant Nuclei for Mutation Testing. Applied Immunohistochemistry & Molecular Morphology 2014, 22: 363-371. PMID: 24162261, PMCID: PMC3999345, DOI: 10.1097/pai.0b013e318299a1f6.Peer-Reviewed Original ResearchConceptsCriterion standardMalignant cellsMalignant nucleiCompanion diagnostic testsTumor cell percentageMutation testingEosin-stained tissuesCell percentageInForm softwareHistologic specimensTumor tissueColon adenocarcinomaTumor cellsDiagnostic testsPotential future toolDNA mutation testingTissue sectionsContinuous variablesFurther validationPathologist estimationAnalytic sensitivityVariant resultsDNA mutationsBenign nucleiTissueMutacin del gen BRAF en pacientes con cnceres de colon y recto con KRAS no mutado
Roa I, Game A, Bizama C, Schalper K. Mutacin del gen BRAF en pacientes con cnceres de colon y recto con KRAS no mutado. Revista Medica De Chile 2014, 142: 55-60. PMID: 24861115, DOI: 10.4067/s0034-98872014000100009.Peer-Reviewed Original ResearchConceptsBRAF V600E mutationV600E mutationColorectal cancerPrimary tumorKRAS mutationsIndependent prognostic factorBRAF gene mutationRestriction fragment length polymorphismColorectal cancer samplesGrowth factor pathwaysLiver metastasesPrognostic factorsMetastatic adenocarcinomaTumor locationBRAF geneFactor pathwayMonoclonal antibodiesCancer samplesMutation casesGene mutationsTissue samplesPatientsDirect sequencingMetastasisColon
2013
Mutacin del gen KRAS en el cncer de colon y recto
Roa I, Snchez T, Majlis A, Schalper K. Mutacin del gen KRAS en el cncer de colon y recto. Revista Medica De Chile 2013, 141: 1166-1172. PMID: 24522420, DOI: 10.4067/s0034-98872013000900009.Peer-Reviewed Original ResearchConceptsKRAS mutationsPrimary tumorColorectal cancer tissue samplesTissue samplesColo-rectal cancerCancer tissue samplesColorectal cancerMetastatic tumorsTumor locationColorectal carcinogenesisG12C mutationCodon 13KRAS oncogeneCodon 12Tumor samplesTumorsExtraction sitesDirect sequencingCancerDistribution of mutationsMutationsPoint mutationsMetastasisRectumColon