Kurt Schalper, MD, PhD
Associate Professor of PathologyCards
Appointments
Additional Titles
Director, Translational Immuno-oncology Laboratory
Contact Info
Appointments
Additional Titles
Director, Translational Immuno-oncology Laboratory
Contact Info
Appointments
Additional Titles
Director, Translational Immuno-oncology Laboratory
Contact Info
About
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Titles
Associate Professor of Pathology
Director, Translational Immuno-oncology Laboratory
Biography
I trained as cell biologist, surgical pathologist and served in clinical molecular diagnostics. In addition, during my postdoctoral work at Yale I focused in developing strategies to objectively and quantitatively measure key immunotherapy related biomarkers in immune cells and cancer tissues. Most of this work has been performed in close collaboration with other Yale researchers and published in peer-reviewed journals. Recently, I was appointed to lead the Translational Immuno-Oncology Laboratory (T.I.L.) in the Yale Cancer Center, that aims to produce and support high quality translational research in immuno-oncology through standardized analyses of biomarkers and cross-integration with other Yale resources.
Appointments
Pathology
Associate Professor on TermPrimaryMedical Oncology and Hematology
Associate Professor on TermSecondary
Other Departments & Organizations
- All Institutions
- Cancer Immunology
- Internal Medicine
- Medical Oncology and Hematology
- Molecular Medicine, Pharmacology, and Physiology
- Pathology
- Pathology and Molecular Medicine
- Pathology Research
- Program in Translational Biomedicine (PTB)
- Schalper Lab
- Yale Cancer Center
- Yale Center for Immuno-Oncology
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative
Education & Training
- PhD
- Universidad Catolica de Chile (2008)
- MD
- San Sebastian University (2003)
Research
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Overview
Medical Research Interests
ORCID
0000-0001-5692-4833- View Lab Website
Schalper Lab
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
David Rimm, MD, PhD
Roy S. Herbst, MD, PhD
Scott Gettinger, MD
Sarah Goldberg, MD, MPH
Miguel López de Rodas Gregorio, MD
Harriet Kluger, MD
Breast Neoplasms
Publications
2026
Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data
Liu T, Huang T, Ding T, Wu H, Humphrey P, Perincheri S, Schalper K, Ying R, Xu H, Zou J, Mahmood F, Zhao H. Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data. Nature Biomedical Engineering 2026, 1-18. PMID: 41644824, DOI: 10.1038/s41551-025-01602-6.Peer-Reviewed Original ResearchAltmetricConceptsMulti-omics analysisMulti-omics technologiesSpatial biologyMulti-OmicsSpatial domain identificationBiological discoveryInteraction inferenceMulti-modal representationTissue contextDownstream tasksLanguage modelHistopathological imagesData typesProtein expressionSpatial multi-omicsDisease predictionComputational frameworkComplementary informationDomain identificationSingle-mode modelFoundation modelGenesMedical reportsProtein
2025
Society for Immunotherapy of Cancer: Standards for Reporting of Multiplex Immunohistochemistry/Immunofluorescence Assays (STORMI)
Sater S, Bifulco C, Rodriguez-Canales J, Yeong J, Akturk G, Angelo M, Ballesteros-Merino C, Bankhead P, Basu S, Blando J, Brajkovic S, Cassano M, Chen B, Coskun A, Cottrell T, De Andrea C, Edwards R, Egelston C, Engle L, Ernstoff M, Fan R, Feldman M, Fox B, Galon J, Gartrell R, Gnjatic S, Green B, Gulley J, Hellebust A, Hewitt S, Hollmann T, Horn L, Howat W, Hoyt C, Jensen S, Kulasinghe A, Lassoued W, Lott S, Mansfield J, Marwitz S, Netto G, Page D, Parra E, Rimm D, Rodig S, Salgado R, Schapiro D, Schalper K, Sunshine J, Surace M, Szalay A, Thurin M, Villasboas J, Wharton K, Wistuba I, Yearley J, Yuan Y, Zaki G, Ziai J, Taube J. Society for Immunotherapy of Cancer: Standards for Reporting of Multiplex Immunohistochemistry/Immunofluorescence Assays (STORMI). Journal For ImmunoTherapy Of Cancer 2025, 13: e012280. PMID: 41423269, PMCID: PMC12718562, DOI: 10.1136/jitc-2025-012280.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsSociety for Immunotherapy of CancerSociety for ImmunotherapyImmunotherapy of cancerPractice guidelinesTumor microenvironmentMultiplex immunofluorescenceConsensus checklistBiomarker discovery effortsAntibody-based technologiesCell clustersInfectious diseasesBiomarkersAnalytical validationCross-study comparisonsMET (c-Met) protein overexpression is an emerging protein biomarker in non-small cell lung cancer
Tsao M, Sholl L, Shiller M, Illei P, Wistuba I, Beasley M, Schalper K, Simmons A, Ansell P, Beruti S, Mino-Kenudson M. MET (c-Met) protein overexpression is an emerging protein biomarker in non-small cell lung cancer. Npj Precision Oncology 2025, 9: 369. PMID: 41266553, PMCID: PMC12635195, DOI: 10.1038/s41698-025-01144-9.Peer-Reviewed Original ResearchCitationsAltmetricConceptsNon-small cell lung cancerIHC-based biomarkersCell lung cancerClinically relevant biomarkersAntibody-drug conjugatesProtein biomarkersPrognostic valueGenomic aberrationsLung cancerProtein overexpressionC-MetMet proteinRelevant biomarkersBiomarkersMetSOverexpressionImmunohistochemistryProteinCancerClinicSpatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer
Aung T, Monkman J, Warrell J, Vathiotis I, Bates K, Gavrielatou N, Trontzas I, Tan C, Fernandez A, Moutafi M, O’ Byrne K, Schalper K, Syrigos K, Herbst R, Kulasinghe A, Rimm D. Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer. Nature Genetics 2025, 57: 2482-2493. PMID: 41073787, PMCID: PMC12513832, DOI: 10.1038/s41588-025-02351-7.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNon-small cell lung cancerTumor immune microenvironmentCell lung cancerLung cancerPredictive of poor outcomeResponse to immunotherapyCD4 T cellsProliferating tumor cellsResponse signatureImmunotherapy outcomesPrecision immunotherapyImmune microenvironmentT cellsPatient selectionNon-smallFavorable outcomeTumor cellsPoor outcomeImmunotherapyMulti-omics approachM1/M2 macrophagesBiomarkersMulti-OmicsCancerOutcomesEP.08.46 Neoadjuvant Immunotherapy Improves Recurrence-Free Survival in Resectable Non-Small Cell Lung Cancer - a 10-Year Institutional Experience
Ermer T, Kim S, Goldberg S, Blasberg J, Boffa D, Herbst R, Politi K, Schalper K, Dacic S, Woodard G. EP.08.46 Neoadjuvant Immunotherapy Improves Recurrence-Free Survival in Resectable Non-Small Cell Lung Cancer - a 10-Year Institutional Experience. Journal Of Thoracic Oncology 2025, 20: s769. DOI: 10.1016/j.jtho.2025.09.1483.Peer-Reviewed Original ResearchHigh MGMT expression identifies aggressive colorectal cancer with distinct genomic features and immune evasion properties
Zhang J, Rajendran B, Desai S, Gibson J, DiPalermo J, LoRusso P, Kong Y, Zhao H, Cecchini M, Schalper K. High MGMT expression identifies aggressive colorectal cancer with distinct genomic features and immune evasion properties. Journal For ImmunoTherapy Of Cancer 2025, 13: e011653. PMID: 40935566, PMCID: PMC12506448, DOI: 10.1136/jitc-2025-011653.Peer-Reviewed Original ResearchThis study shows that high MGMT expression in colorectal cancer is linked to aggressive behavior, distinct genomic features, immune evasion, and shorter survival, highlighting its potential as a biomarker for prognosis and therapeutic targeting.TRLS-11 UNCOVERING ANTIGEN-SPECIFICITY OF INTRATUMORAL CD8+ T CELLS IN NON-SMALL CELL LUNG CANCER BRAIN METASTASES
Lu B, Yahsi B, Gu J, Coburn J, Kasbe M, Arnal-Estape A, Sohn K, Whitehead K, Mosharraf M, Nguyen D, Zhao H, Lucca L, Schalper K, Chiang V, Hafler D, Lee M. TRLS-11 UNCOVERING ANTIGEN-SPECIFICITY OF INTRATUMORAL CD8+ T CELLS IN NON-SMALL CELL LUNG CANCER BRAIN METASTASES. Neuro-Oncology Advances 2025, 7: ii36-ii36. PMCID: PMC12342607, DOI: 10.1093/noajnl/vdaf123.134.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCD8+ T cellsIntratumoral T cellsPatient lung tumorsT cellsBrain metastasesAntigen-SpecificTumor reactivityClonal repertoireNon-small cell lung cancer brain metastasisIntratumoral CD8+ T cellsPublic antigensTumor-infiltrating T cellsCD8+ T cellsAntitumor T-cell functionDegree of clonal expansionT-cell receptor (TCR) sequencingT-cell therapyImmune-modulating therapiesTumor-associated antigensCell lung cancerT cell functionAntigenic reactivitySomatic single-nucleotide variantsResected tumorMolecular Tumor Boards: A Consensus Statement From the International Association for the Study of Lung Cancer
Aldea M, Rotow J, Arcila M, Hatton M, Sholl L, Rolfo C, Tagliamento M, Radonic T, Schalper K, Subbiah V, Malapelle U, Roden A, Manochakian R, Tsao M, Linardou H, Hui R, Novello S, Greystoke A, Saqi A, Lantuejoul S, Hwang D, Nevins K, Wynes M, Waqar S, Han Y, Yatabe Y, Chang W, Hayashi T, Kim T, Hofman P, Tavora F, Hirsch F, Denninghoff V, Leighl N, Drilon A, Cooper W, Dacic S, Mohindra P, Pavlakis N, Lopez-Rios F. Molecular Tumor Boards: A Consensus Statement From the International Association for the Study of Lung Cancer. Journal Of Thoracic Oncology 2025, 20: 1594-1614. PMID: 40633839, DOI: 10.1016/j.jtho.2025.07.009.Peer-Reviewed Original ResearchCitationsAltmetricConceptsMolecular tumor boardInternational Association for the Study of Lung CancerStudy of Lung CancerLung cancerMultidisciplinary meetingCase selectionMolecular diagnosticsBiomarker test resultsLevel of evidencePersonalized cancer careClinicopathological dataPersonalized treatment recommendationsTherapy ratesTumor typesTreatment optionsMedical oncologistsTumor boardPatient managementConsensus recommendationsTreatment recommendationsConsensus statementBiomarker findingsCancerInstitutional expertiseModified Delphi MethodspEMO: Leveraging Multi-Modal Foundation Models for Analyzing Spatial Multi-Omic and Histopathology Data
Zhao H, Liu T, Huang T, Ding T, Wu H, Humphrey P, Perincheri S, Schalper K, Ying R, Xu H, Zou J, Mahmood F. spEMO: Leveraging Multi-Modal Foundation Models for Analyzing Spatial Multi-Omic and Histopathology Data. 2025 DOI: 10.21203/rs.3.rs-6941589/v1.Peer-Reviewed Original ResearchConceptsInformation retrieval capabilitiesMedical report generationMulti-modal alignmentSingle-modal dataDownstream tasksLanguage modelModel architectureComputer systemsAI systemsSpatial domain identificationData modalitiesHistopathological imagesReport generationEvaluation taskMultimodal representationsTaskMulti-omics dataFoundation modelMulti-omics technologiesDataSpatial biologyMulti-OmicsTissue contextDomain identificationInformationSITC vision: Opportunities for deeper understanding of mechanisms of anti-tumor activity, toxicity, and resistance to optimize cancer immunotherapy
Sullivan R, Cillo A, Ferris R, Jenkins R, Kluger H, Kok M, Lipson E, Paruzzo L, Redmond W, Ruella M, Schalper K, Thommen D, Tolley K, Yarchoan M, Garnett-Benson C. SITC vision: Opportunities for deeper understanding of mechanisms of anti-tumor activity, toxicity, and resistance to optimize cancer immunotherapy. Journal For ImmunoTherapy Of Cancer 2025, 13: e011929. PMID: 40562704, PMCID: PMC12198810, DOI: 10.1136/jitc-2025-011929.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSociety for ImmunotherapyCancer immunotherapyManagement of cancerSociety for Immunotherapy of CancerMechanisms of anti-tumor activityCancer immunotherapy developmentImmunotherapy of cancerAnti-tumor activityMechanisms of resistanceImmunotherapy developmentMechanism of actionImmunotherapySide effectsCancerAdverse effectsPatient perspectiveToxicityAgentsMalignancyPatientsKnowledge gaps
Clinical Trials
Current Trials
Determining Mechanisms of Sensitivity and Resistance to Anti-Cancer Therapy for Advanced Lung Cancer
IRB ID1603017333RoleSub InvestigatorPrimary Completion Date06/20/2026Recruiting Participants
Academic Achievements & Community Involvement
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News
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News
- November 12, 2025
Twenty-Seven YSM Faculty Members Recognized for Highly Cited Research
- October 10, 2025
‘Google Maps’ Approach to Revolutionize Lung Cancer Treatment
- October 08, 2025
Yale Cancer Experts to Present This Week at Top International Oncology Conference
- May 23, 2025
Rimm Lab Marks 30 Years of Research, Innovation, Training at Yale Pathology
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789 Howard Avenue, Ste FMP, Rm 117
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