David Klimstra, MD
Louis J.M. Zinterhofer, MD Professor of PathologyCards
About
Research
Publications
2026
1502 Tubular-Infiltrative Variant of Acinar Cell Carcinoma: Clinicopathologic Analysis of 11 Cases of A Distinct Entity Invariably Misdiagnosed as Ductal Adenocarcinoma
Bahceci D, Tezcan N, Memis B, Park W, O'Reilly E, Klimstra D, Basturk O, Adsay N. 1502 Tubular-Infiltrative Variant of Acinar Cell Carcinoma: Clinicopathologic Analysis of 11 Cases of A Distinct Entity Invariably Misdiagnosed as Ductal Adenocarcinoma. Laboratory Investigation 2026, 106: 105801. DOI: 10.1016/j.labinv.2025.105801.Peer-Reviewed Original Research1536 Pancreatic Mixed Acinar Neuroendocrine Carcinomas: Clinicopathologic Spectrum and Diagnostic Significance of INSM1 Expression
Tezcan N, Bahceci D, Urganci N, Klimstra D, Adsay N, Basturk O. 1536 Pancreatic Mixed Acinar Neuroendocrine Carcinomas: Clinicopathologic Spectrum and Diagnostic Significance of INSM1 Expression. Laboratory Investigation 2026, 106: 105835. DOI: 10.1016/j.labinv.2025.105835.Peer-Reviewed Original Research1423 Primary Pancreatic-Type Acinar Cell Carcinoma of the Liver: A Clinicopathologic and Molecular Analysis
Tezcan N, Klimstra D, Adsay N, Basturk O, Bahceci D. 1423 Primary Pancreatic-Type Acinar Cell Carcinoma of the Liver: A Clinicopathologic and Molecular Analysis. Laboratory Investigation 2026, 106: 105718. DOI: 10.1016/j.labinv.2025.105718.Peer-Reviewed Original Research
2025
Deep proteogenomic characterization of pancreatic solid pseudopapillary neoplasm reveals unique features distinct from other pancreatic tumors
Tanaka A, Otani Y, Klimstra D, Basturk O, Vyas M, Wang J, Roehrl M. Deep proteogenomic characterization of pancreatic solid pseudopapillary neoplasm reveals unique features distinct from other pancreatic tumors. Biomarker Research 2025, 13: 159. PMID: 41310888, PMCID: PMC12752135, DOI: 10.1186/s40364-025-00875-y.Peer-Reviewed Original ResearchSolid pseudopapillary neoplasmPancreatic tumorsPseudopapillary neoplasmReceptor tyrosine kinasesPancreatic neoplasmsMHC class I expressionPancreatic solid pseudopapillary neoplasmLow MHC class I expressionImmune-cold tumorsClass I expressionPancreatic ductal adenocarcinomaLow-nutrient environmentsMetabolic adaptation mechanismsLysosome-related proteinsNeuroendocrine tumorsTargeted therapyImmunohistochemical markersDuctal adenocarcinomaI expressionTranscriptional regulationProteasome proteinsFatty acid oxidationNeoplasmsProteome levelLower glycolysis258 Validation of an Artificial Intelligence Algorithm for Breast Cancer Mitotic Grading
Yang E, Grabenstetter A, Kuba M, Schwartz C, Retamero J, Klimstra D, Parke A, Hanna M, Brogi E, Wen H. 258 Validation of an Artificial Intelligence Algorithm for Breast Cancer Mitotic Grading. Laboratory Investigation 2025, 105: 102482. DOI: 10.1016/j.labinv.2024.102482.Peer-Reviewed Original Research
2024
Proteomic basis for pancreatic acinar cell carcinoma and pancreatoblastoma as similar yet distinct entities
Tanaka A, Ogawa M, Zhou Y, Hendrickson R, Miele M, Li Z, Klimstra D, Wang J, Roehrl M. Proteomic basis for pancreatic acinar cell carcinoma and pancreatoblastoma as similar yet distinct entities. Npj Precision Oncology 2024, 8: 221. PMID: 39363045, PMCID: PMC11449907, DOI: 10.1038/s41698-024-00708-5.Peer-Reviewed Original ResearchAcinar cell carcinomaPancreatic ductal adenocarcinomaActin-based processesPathway activity differencesCell carcinomaChromosome organizationChromosomal proteinsProteomic basisRNA processingIGF2 pathwayProtein expression patternsEpithelial-to-mesenchymal transitionProteogenomic profilingPancreatic acinar cell carcinomaProteomic landscapeDNA repairCell cycleRare pancreatic malignancyExpression patternsMitochondrial dysfunctionStem cell phenotypeMetabolic adaptationProteinExtracellular matrixPancreatic malignancyA Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms.
Pareja F, Dopeso H, Wang Y, Gazzo A, Brown D, Banerjee M, Selenica P, Bernhard J, Derakhshan F, da Silva E, Colon-Cartagena L, Basili T, Marra A, Sue J, Ye Q, Da Cruz Paula A, Yeni Yildirim S, Pei X, Safonov A, Green H, Gill K, Zhu Y, Lee M, Godrich R, Casson A, Weigelt B, Riaz N, Wen H, Brogi E, Mandelker D, Hanna M, Kunz J, Rothrock B, Chandarlapaty S, Kanan C, Oakley J, Klimstra D, Fuchs T, Reis-Filho J. A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms. Cancer Research 2024, 84: 3478-3489. PMID: 39106449, PMCID: PMC11479818, DOI: 10.1158/0008-5472.can-24-1322.Peer-Reviewed Original ResearchConceptsInvasive lobular carcinomaBiallelic mutationsGenetic alterationsDiagnosing ILCGenotypic-phenotypic correlationsAI modelsBiological discoveryFusion geneCancer diagnosisCDH1Artificial intelligenceWhole-slide imagesInactivation mechanismLobular carcinomaMutationsHistological whole-slide imagesHistopathological featuresValidation cohortHistological featuresBreast neoplasmsHistological ground truthImprove cancer diagnosisSWI/SNF Complex-Deficient Undifferentiated Carcinoma of the Pancreas: Clinicopathologic and Genomic Analysis
Yavas A, Ozcan K, Adsay N, Balci S, Tarcan Z, Hechtman J, Luchini C, Scarpa A, Lawlor R, Mafficini A, Reid M, Xue Y, Yang Z, Haye K, Bellizzi A, Vanoli A, Benhamida J, Balachandran V, Jarnagin W, Park W, O'Reilly E, Klimstra D, Basturk O. SWI/SNF Complex-Deficient Undifferentiated Carcinoma of the Pancreas: Clinicopathologic and Genomic Analysis. Modern Pathology 2024, 37: 100585. PMID: 39094734, PMCID: PMC11585460, DOI: 10.1016/j.modpat.2024.100585.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaUndifferentiated carcinomaConventional pancreatic ductal adenocarcinomaSMARCB1 protein expressionPancreatic undifferentiated carcinomaProtein expressionPD-L1SMARCB1 deletionRhabdoid morphologyPD-L1 protein expressionCase of undifferentiated carcinomaNext-generation sequencingCombined positive scoreLoss of SMARCB1 protein expressionKRAS wild typeNegative prognostic impactChromatin remodeling complex subunitMultiple tumor typesPrognostic impactTumor characteristicsOverall survivalSWI/SNF deficiencyTumor groupGene alterationsInactivating alterationsProteogenomic characterization of pancreatic neuroendocrine tumors uncovers hypoxia and immune signatures in clinically aggressive subtypes
Tanaka A, Ogawa M, Zhou Y, Otani Y, Hendrickson R, Miele M, Li Z, Klimstra D, Wang J, Roehrl M. Proteogenomic characterization of pancreatic neuroendocrine tumors uncovers hypoxia and immune signatures in clinically aggressive subtypes. IScience 2024, 27: 110544. PMID: 39206147, PMCID: PMC11350455, DOI: 10.1016/j.isci.2024.110544.Peer-Reviewed Original ResearchClinically aggressive subtypePancreatic neuroendocrine tumorsProteomic subtypesNeuroendocrine tumorsAggressive subtypeImmune hot tumorsSystemic treatment optionsVariable clinical outcomesTumor grading systemPredicting patient outcomesHot tumorsCytotoxic chemotherapyImmune signaturesImmunosuppressive moleculesImmunotherapy targetClinical aggressivenessSomatostatin analogsRecurrence rateClinical outcomesTreatment optionsEndocrine neoplasmsGlycolysis upregulationPanNETsProteogenomic characterizationInflammatory pathwaysArtificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases
Retamero J, Gulturk E, Bozkurt A, Liu S, Gorgan M, Moral L, Horton M, Parke A, Malfroid K, Sue J, Rothrock B, Oakley G, DeMuth G, Millar E, Fuchs T, Klimstra D. Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases. The American Journal Of Surgical Pathology 2024, 48: 846-854. PMID: 38809272, PMCID: PMC11191045, DOI: 10.1097/pas.0000000000002248.Peer-Reviewed Original ResearchConceptsLymph node metastasisNode metastasisDetection of lymph node metastasesBreast cancer lymph node metastasisMetastasis detection rateWhole slide imagesBreast cancer stageArtificial intelligenceIncrease diagnostic accuracyReading pathologistsCancer stageDiagnostic accuracyMetastasisCancer metastasisAverage reading timeBreastPathologistsDetection rateAI algorithms
Academic Achievements & Community Involvement
News
News
- March 23, 2026
Gastrointestinal Society Selects David Klimstra, MD, for Lifetime Achievement Award
- March 17, 2026
Yale Pathology Will Have Strong Presence at USCAP 2026
- November 10, 2025
NETS Awareness Day 2025
- September 22, 2025
David Klimstra, MD, Introduced as Inaugural Louis J.M. Zinterhofer, MD Professor of Pathology