Yalai Bai, PhD, MD
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Appointments
Pathology
Primary
Titles
Technical Director of Tissue Distribution and Analysis Service, Pathology Department
Contact Info
Appointments
Pathology
Primary
Titles
Technical Director of Tissue Distribution and Analysis Service, Pathology Department
Contact Info
Appointments
Pathology
Primary
Titles
Technical Director of Tissue Distribution and Analysis Service, Pathology Department
Contact Info
About
Titles
Research Scientist
Technical Director of Tissue Distribution and Analysis Service, Pathology DepartmentAppointments
Pathology
Research ScientistPrimary
Other Departments & Organizations
- Pathology
- Rimm Lab
- Tissue Procurement & Distribution
- Tissue Services
Education & Training
- PhD
- Peking University Health Science Center (1996)
- MD
- Peking University Health Science Center (1990)
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Yalai Bai's published research.
Publications Timeline
A big-picture view of Yalai Bai's research output by year.
David Rimm, MD, PhD
Alessandro Santin, MD
Alfred Bothwell, PhD
Barbara Burtness, MD
David F. Stern, PhD
Jeffrey Townsend, PhD
20Publications
880Citations
Publications
2024
An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers
Xirou V, Moutafi M, Bai Y, Nwe Aung T, Burela S, Liu M, Kimple R, Shabbir Ahmed F, Schultz B, Flieder D, Connolly D, Psyrri A, Burtness B, Rimm D. An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers. Oral Oncology 2024, 152: 106750. PMID: 38547779, PMCID: PMC11060915, DOI: 10.1016/j.oraloncology.2024.106750.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsTumor-infiltrating lymphocytesHead and neck cancerTILs evaluationHPV-positiveNeck cancerPrognostic valueHead and neck squamous cell cancer casesTIL variablesAssociated with favorable prognosisHPV-negative headHPV-negative populationHematoxylin-eosin-stained sectionsCox regression analysisPotential clinical implicationsInter-observer variabilityInfiltrating lymphocytesClinicopathological factorsFavorable prognosisValidation cohortTumor cellsCancer casesProspective settingQuPath softwareRetrospective collectionPredictive significance
2023
Image analysis-based tumor infiltrating lymphocytes measurement predicts breast cancer pathologic complete response in SWOG S0800 neoadjuvant chemotherapy trial
Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Liu Y, Wang L, Wei W, Pusztai L, Blenman K. Image analysis-based tumor infiltrating lymphocytes measurement predicts breast cancer pathologic complete response in SWOG S0800 neoadjuvant chemotherapy trial. Npj Breast Cancer 2023, 9: 38. PMID: 37179362, PMCID: PMC10182981, DOI: 10.1038/s41523-023-00535-0.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPathologic complete responseBreast cancerComplete responseTIL scoreBreast Cancer Pathologic Complete ResponseTumor-infiltrating lymphocyte scoresEvent-free survivalNeoadjuvant chemotherapy trialsLymphocyte measurementsLymphocyte scoreNeoadjuvant chemotherapyChemotherapy trialsMean pretreatmentResidual diseaseTIL quantificationPredictive valuePretreatment samplesResponse discriminationScoresStrong positive correlationPositive correlation
2022
Quantitative measurement of HER2 expression to subclassify ERBB2 unamplified breast cancer.
Moutafi M, Robbins C, Yaghoobi V, Fernandez A, Martinez-Morilla S, Xirou V, Bai Y, Song Y, Gaule P, Krueger J, Bloom K, Hill S, Liebler D, Fulton R, Rimm D. Quantitative measurement of HER2 expression to subclassify ERBB2 unamplified breast cancer. Laboratory Investigation 2022, 102: 1101-1108. PMID: 36775350, DOI: 10.1038/s41374-022-00804-9.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsHER2 expressionBreast cancerAttomol/HER2 proteinBreast cancer patientsBreast cancer casesOptimal patient careLevels of HER2Trastuzumab deruxtecanT-DXdCancer patientsLow HER2Cancer casesConventional assaysHER2Patient careAntibody concentrationsQuantitative immunofluorescenceAntibody drugsCancerCell linesAssaysExpressionHER2 detectionLower range
2021
An Open Source, Automated Tumor Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer
Bai Y, Cole K, Martinez-Morilla S, Ahmed FS, Zugazagoitia J, Staaf J, Bosch A, Ehinger A, Nimeus E, Hartman J, Acs B, Rimm DL. An Open Source, Automated Tumor Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer. Clinical Cancer Research 2021, 27: clincanres.0325.2021. PMID: 34088723, PMCID: PMC8530841, DOI: 10.1158/1078-0432.ccr-21-0325.Peer-Reviewed Original ResearchCitationsAltmetricA new tool for technical standardization of the Ki67 immunohistochemical assay
Aung TN, Acs B, Warrell J, Bai Y, Gaule P, Martinez-Morilla S, Vathiotis I, Shafi S, Moutafi M, Gerstein M, Freiberg B, Fulton R, Rimm DL. A new tool for technical standardization of the Ki67 immunohistochemical assay. Modern Pathology 2021, 34: 1261-1270. PMID: 33536573, PMCID: PMC8222064, DOI: 10.1038/s41379-021-00745-6.Peer-Reviewed Original ResearchCitationsAltmetric
2018
Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study
Acs B, Pelekanou V, Bai Y, Martinez-Morilla S, Toki M, Leung SCY, Nielsen TO, Rimm DL. Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study. Laboratory Investigation 2018, 99: 107-117. PMID: 30181553, DOI: 10.1038/s41374-018-0123-7.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsAn international multicenter study to evaluate reproducibility of automated scoring for assessment of Ki67 in breast cancer
Rimm DL, Leung SCY, McShane LM, Bai Y, Bane AL, Bartlett JMS, Bayani J, Chang MC, Dean M, Denkert C, Enwere EK, Galderisi C, Gholap A, Hugh JC, Jadhav A, Kornaga EN, Laurinavicius A, Levenson R, Lima J, Miller K, Pantanowitz L, Piper T, Ruan J, Srinivasan M, Virk S, Wu Y, Yang H, Hayes DF, Nielsen TO, Dowsett M. An international multicenter study to evaluate reproducibility of automated scoring for assessment of Ki67 in breast cancer. Modern Pathology 2018, 32: 59-69. PMID: 30143750, DOI: 10.1038/s41379-018-0109-4.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsIntraclass correlation coefficientBreast cancerBreast Cancer Working GroupAssessment of Ki67Pre-specified analysisCancer Working GroupInternational multicenter studyMulticenter studySubsequent clinical validationInternational Ki67Biopsy sectionsClinical valueBiomarker Ki67Breast tumorsKi67 immunohistochemistryEvaluation of reproducibilityKi67Clinical validationTumor cellsObserved intraclass correlation coefficientScoring methodCorrelation coefficientKi67 scoringMaximum scoreCancer
2017
Elevated T cell activation score is associated with improved survival of breast cancer
Lu L, Bai Y, Wang Z. Elevated T cell activation score is associated with improved survival of breast cancer. Breast Cancer Research And Treatment 2017, 164: 689-696. PMID: 28488141, DOI: 10.1007/s10549-017-4281-x.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsT cell activation scoreBreast cancer patientsOverall survivalPatients' overall survivalCancer patientsImproved survivalPD-1Activation scoresBreast cancerCell death-1 receptorLow PD-1 expressionMultivariate Cox regression analysisT-lymphocyte antigen-4Kaplan-Meier survival curvesT cell activation statusDeath-1 receptorPD-1 expressionEffector T cellsImmune checkpoint blockadeCox regression analysisPoor overall survivalCox regression modelT cell functionActivation groupCell activation statusObjective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance
Carvajal-Hausdorf DE, Schalper KA, Bai Y, Black J, Santin AD, Rimm DL. Objective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance. Gynecologic Oncology 2017, 145: 154-158. PMID: 28196634, PMCID: PMC5941302, DOI: 10.1016/j.ygyno.2017.02.002.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsMeSH KeywordsAdo-Trastuzumab EmtansineAfatinibAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCohort StudiesExtracellular SpaceFemaleFluorescent Antibody TechniqueHumansIntracellular SpaceLapatinibMaytansineMiddle AgedNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsProtein DomainsQuinazolinesReceptor, ErbB-2Retrospective StudiesTissue Array AnalysisTrastuzumabUterine NeoplasmsConceptsUterine serous carcinomaOvarian serous carcinomaHER2 intracellular domainSerous carcinomaECD levelsECD statusTissue microarrayHER2 measurementQuantitative immunofluorescenceHER2 overexpression/amplificationClinico-pathologic characteristicsClinico-pathological featuresHER2-targeted agentsIntracellular domainOverexpression/amplificationHER2 extracellular domainExtracellular domainOSC patientsClinical trialsBreast cancerClinical significancePatientsHER2 assaysP95-HER2CarcinomaSpitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas
Lazova R, Pornputtapong N, Halaban R, Bosenberg M, Bai Y, Chai H, Krauthammer M. Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas. Modern Pathology 2017, 30: 640-649. PMID: 28186096, PMCID: PMC5413430, DOI: 10.1038/modpathol.2016.237.Peer-Reviewed Original ResearchCitationsAltmetric
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