2024
Circulating tumor DNA fraction predicts residual cancer burden post-neoadjuvant chemotherapy in triple negative breast cancer
Shan N, Gould B, Wang X, Bonora G, Blenman K, Foldi J, Campos G, Walsh M, Du P, Pusztai L. Circulating tumor DNA fraction predicts residual cancer burden post-neoadjuvant chemotherapy in triple negative breast cancer. The Journal Of Liquid Biopsy 2024, 6: 100168. DOI: 10.1016/j.jlb.2024.100168.Peer-Reviewed Original ResearchTriple negative breast cancerResidual cancer burdenCirculating tumor DNANegative breast cancerPathological responsePost-NACBreast cancerPlasma circulating tumor DNATriple negative breast cancer patientsResidual cancer burden scoreCirculating tumour DNA fractionPost-neoadjuvant chemotherapyPre-NAC samplesWeekly nab-paclitaxelTumor DNA methylation profilesTumor DNA fractionHot spot mutationsYouden's J statisticNab-paclitaxelPre-NACTumor variantsTumor DNATumor fractionClinical trialsDNA methylation profilesPeripheral blood immune parameters, response, and adverse events after neoadjuvant chemotherapy plus durvalumab in early-stage triple-negative breast cancer
Foldi J, Blenman K, Marczyk M, Gunasekharan V, Polanska A, Gee R, Davis M, Kahn A, Silber A, Pusztai L. Peripheral blood immune parameters, response, and adverse events after neoadjuvant chemotherapy plus durvalumab in early-stage triple-negative breast cancer. Breast Cancer Research And Treatment 2024, 208: 369-377. PMID: 39002068, DOI: 10.1007/s10549-024-07426-3.Peer-Reviewed Original ResearchImmune-related adverse eventsTriple-negative breast cancerAssociated with pathological responsePathological complete responseNeoadjuvant chemotherapyCytokine levelsPathological responseAdverse eventsBreast cancerEarly-stage triple-negative breast cancerPatients treated with immune checkpoint inhibitorsB cell clonal expansionMeasured serum cytokine levelsImmune checkpoint inhibitorsGM-CSF levelsPeripheral blood cytokine levelsBlood cytokine levelsSerum cytokine levelsB cell receptorMagnetic bead panelBenjamini-Hochberg correctionSample of patientsImmunoSEQ platformCheckpoint inhibitorsComplete responsePredicting peripheral neuropathy following neoadjuvant therapy in patients with breast cancer.
Feiger B, Biancalana M, Shelton A, Blenman K, Lustberg M. Predicting peripheral neuropathy following neoadjuvant therapy in patients with breast cancer. Journal Of Clinical Oncology 2024, 42: e12639-e12639. DOI: 10.1200/jco.2024.42.16_suppl.e12639.Peer-Reviewed Original ResearchBreast cancer patientsNeoadjuvant chemotherapyPeripheral neuropathyNeoadjuvant therapyBreast cancerCancer patientsAdministration of neoadjuvant chemotherapyCohort of breast cancer patientsLikelihood of breast-conserving surgeryContrast-enhanced magnetic resonance imagingQuality of lifeDynamic contrast-enhanced magnetic resonance imagingBreast-conserving surgeryReduced tumor burdenTreatment-induced neuropathyOccurrence of neuropathyInduce peripheral neuropathyDensity of blood vesselsPatients' quality of lifeMagnetic resonance imagingAmeliorate neuropathyDCE-MRI dataTumor burdenCumulative toxic effectsIntratumoral vascularityTraining pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research
Ly A, Garcia V, Blenman K, Ehinger A, Elfer K, Hanna M, Li X, Peeters D, Birmingham R, Dudgeon S, Gardecki E, Gupta R, Lennerz J, Pan T, Saltz J, Wharton K, Ehinger D, Acs B, Dequeker E, Salgado R, Gallas B. Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research. Histopathology 2024, 84: 915-923. PMID: 38433289, PMCID: PMC10990791, DOI: 10.1111/his.15140.Peer-Reviewed Original ResearchStromal tumor-infiltrating lymphocytesTumor-infiltrating lymphocytesUS Food and Drug AdministrationFood and Drug AdministrationBreast cancerPathologist's visual assessmentDrug AdministrationSignificant interobserver variabilityPredicative biomarkerTILs assessmentTrained pathologistsInterobserver agreementInterobserver variabilityVisual assessmentGold standardReference standardBreastCME coursesClinical practiceClinical careCancerMedical educationPathologistsLymphocytesExpert commentaryImage‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Jahangir C, Page D, Broeckx G, Gonzalez C, Burke C, Murphy C, Reis‐Filho J, Ly A, Harms P, Gupta R, Vieth M, Hida A, Kahila M, Kos Z, van Diest P, Verbandt S, Thagaard J, Khiroya R, Abduljabbar K, Haab G, Acs B, Adams S, Almeida J, Alvarado‐Cabrero I, Azmoudeh‐Ardalan F, Badve S, Baharun N, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Burgues O, Chardas A, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Portela F, Deman F, Demaria S, Dudgeon S, Elghazawy M, Fernandez‐Martín C, Fineberg S, Fox S, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hart S, Hartman J, Hewitt S, Horlings H, Husain Z, Irshad S, Janssen E, Kataoka T, Kawaguchi K, Khramtsov A, Kiraz U, Kirtani P, Kodach L, Korski K, Akturk G, Scott E, Kovács A, Lænkholm A, Lang‐Schwarz C, Larsimont D, Lennerz J, Lerousseau M, Li X, Madabhushi A, Maley S, Narasimhamurthy V, Marks D, McDonald E, Mehrotra R, Michiels S, Kharidehal D, Minhas F, Mittal S, Moore D, Mushtaq S, Nighat H, Papathomas T, Penault‐Llorca F, Perera R, Pinard C, Pinto‐Cardenas J, Pruneri G, Pusztai L, Rajpoot N, Rapoport B, Rau T, Ribeiro J, Rimm D, Vincent‐Salomon A, Saltz J, Sayed S, Hytopoulos E, Mahon S, Siziopikou K, Sotiriou C, Stenzinger A, Sughayer M, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson E, Tramm T, Tran W, van der Laak J, Verghese G, Viale G, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Stovgaard E, Salgado R, Gallagher W, Rahman A. Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2024, 262: 271-288. PMID: 38230434, PMCID: PMC11288342, DOI: 10.1002/path.6238.Peer-Reviewed Original ResearchConceptsImmune profileInternational Immuno-Oncology Biomarker Working GroupIdentification of clinically relevant biomarkersField of immuno-oncologyBiomarker Working GroupManagement of cancer patientsImmune profiling of tumorsClinical trial perspectiveTranslational implicationsProfiling of tumorsIndividual tumor cellsPredicting disease prognosisClinically relevant biomarkersSubtypes of cancerImmuno-oncologyTumor microenvironmentMultiplex immunohistochemistryTreatment responseTumor cellsBreast cancerTumor samplesCancer patientsTreatment choiceDisease prognosisRelevant biomarkers
2023
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Thagaard J, Broeckx G, Page D, Jahangir C, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Haab G, Acs B, Akturk G, Almeida J, Alvarado‐Cabrero I, Amgad M, Azmoudeh‐Ardalan F, Badve S, Baharun N, Balslev E, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Bouchmaa N, Burgues O, Chardas A, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Dahl A, Portela F, Deman F, Demaria S, Hansen J, Dudgeon S, Ebstrup T, Elghazawy M, Fernandez‐Martín C, Fox S, Gallagher W, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hart S, Hartman J, Hauberg S, Hewitt S, Hida A, Horlings H, Husain Z, Hytopoulos E, Irshad S, Janssen E, Kahila M, Kataoka T, Kawaguchi K, Kharidehal D, Khramtsov A, Kiraz U, Kirtani P, Kodach L, Korski K, Kovács A, Laenkholm A, Lang‐Schwarz C, Larsimont D, Lennerz J, Lerousseau M, Li X, Ly A, Madabhushi A, Maley S, Narasimhamurthy V, Marks D, McDonald E, Mehrotra R, Michiels S, Minhas F, Mittal S, Moore D, Mushtaq S, Nighat H, Papathomas T, Penault‐Llorca F, Perera R, Pinard C, Pinto‐Cardenas J, Pruneri G, Pusztai L, Rahman A, Rajpoot N, Rapoport B, Rau T, Reis‐Filho J, Ribeiro J, Rimm D, Roslind A, Vincent‐Salomon A, Salto‐Tellez M, Saltz J, Sayed S, Scott E, Siziopikou K, Sotiriou C, Stenzinger A, Sughayer M, Sur D, Fineberg S, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson E, Tramm T, Tran W, van der Laak J, van Diest P, Verghese G, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Zin R, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Stovgaard E. Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2023, 260: 498-513. PMID: 37608772, PMCID: PMC10518802, DOI: 10.1002/path.6155.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesTriple-negative breast cancerBreast cancerTIL assessmentHER2-positive breast cancerRoutine clinical managementTIL evaluationTumor-immune interactionsClinical managementDiscordant assessmentsClinical significancePrognostic biomarkerTIL quantificationCancerDaily practicePatientsTrialsTissue patternsAssessmentLymphocytesBiomarkersImage 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 ResearchPathologic 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 correlationA review of the impact of energy balance on triple-negative breast cancer
Akingbesote N, Owusu D, Liu R, Cartmel B, Ferrucci L, Zupa M, Lustberg M, Sanft T, Blenman K, Irwin M, Perry R. A review of the impact of energy balance on triple-negative breast cancer. JNCI Monographs 2023, 2023: 104-124. PMID: 37139977, DOI: 10.1093/jncimonographs/lgad011.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsTriple-negative breast cancerInterventional studyBreast cancerCancer treatmentClinical interventional studyClinical observationalImmune activationCancer outcomesCancer careClinical studiesOverall healthEnergy intakeNarrative reviewCancer cellsEnergy expenditureCancerTreatmentEnergy balanceOutcomesExerciseReviewDetrimental effectsImmunotherapyStudyIntake
2022
Molecular differences between younger versus older ER-positive and HER2-negative breast cancers
Qing T, Karn T, Rozenblit M, Foldi J, Marczyk M, Shan N, Blenman K, Holtrich U, Kalinsky K, Meric-Bernstam F, Pusztai L. Molecular differences between younger versus older ER-positive and HER2-negative breast cancers. Npj Breast Cancer 2022, 8: 119. PMID: 36344517, PMCID: PMC9640562, DOI: 10.1038/s41523-022-00492-0.Peer-Reviewed Original ResearchBreast cancerYounger patientsHER2-negative breast cancerNode-positive breast cancerNode-negative diseaseSame clinical featuresHigh mutation burdenLower mRNA expressionAdjuvant chemotherapyMicroarray cohortTAILORx trialOvarian suppressionOlder patientsPatient ageClinical featuresProliferation-related gene expressionScore 0Mutation burdenCopy number gainsOlder womenGATA3 mutationsAge groupsGene signatureMRNA expressionChemotherapyLeveraging the Dynamic Immune Environment Triad in Patients with Breast Cancer: Tumour, Lymph Node, and Peripheral Blood
Wall I, Boulat V, Shah A, Blenman KRM, Wu Y, Alberts E, Calado DP, Salgado R, Grigoriadis A. Leveraging the Dynamic Immune Environment Triad in Patients with Breast Cancer: Tumour, Lymph Node, and Peripheral Blood. Cancers 2022, 14: 4505. PMID: 36139665, PMCID: PMC9496983, DOI: 10.3390/cancers14184505.Peer-Reviewed Original ResearchBreast cancerPeripheral bloodImmune responseAnti-tumor responseSystemic immune responsesBreast cancer patientsPatient selection parametersEnvironment triadImmune profileLymph nodesImmunological featuresCancer patientsPrimary tumorDisease progressionImmune sitesSurvival rateCancerPatientsTumorsOverall responseBloodFuture studiesTreatmentSignificant overall responseMultiple sitesPD-L1 protein expression in relation to recurrence score values in early-stage ER + breast cancer
Rozenblit M, Blenman K, Harigopal M, Reisenbichler E, Singh K, Qing T, Ibrahim E, Ramkissoon S, Asmelash S, Lin HK, Roberts M, Ross J, Huang RSP, Pusztai L. PD-L1 protein expression in relation to recurrence score values in early-stage ER + breast cancer. Breast Cancer Research And Treatment 2022, 196: 221-227. PMID: 36028784, DOI: 10.1007/s10549-022-06712-2.Peer-Reviewed Original ResearchConceptsPD-L1 positivityPD-L1 protein expressionPD-L1 expressionGrade 3 cancersPD-L1TIL scoreTumor gradeMultivariate analysisHigher PD-L1 positivityTumor-infiltrating lymphocyte countsConclusionPD-L1 expressionProtein expressionPD-L1 immunohistochemistryChi-square testResultsPD-L1T1 cancersLymphocyte countT3 tumorsIndependent predictorsTumor sizeLarge tumorsPositivity rateCell positivityBreast cancerGrade 2Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer
Marczyk M, Qing T, O’Meara T, Yagahoobi V, Pelekanou V, Bai Y, Reisenbichler E, Cole KS, Li X, Gunasekharan V, Ibrahim E, Fanucci K, Wei W, Rimm DL, Pusztai L, Blenman KRM. Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer. Npj Breast Cancer 2022, 8: 88. PMID: 35869114, PMCID: PMC9307813, DOI: 10.1038/s41523-022-00449-3.Peer-Reviewed Original ResearchTumor immune microenvironmentImmune microenvironmentTriple-negative breast cancer tissuesTriple-negative breast cancerAfrican AmericansImmune checkpoint inhibitorsTumor mutation burdenNegative breast cancerBreast cancer tissuesImmune-related pathwaysStromal TILsCheckpoint inhibitorsImmune exclusionClinical outcomesPD-L1Self-identified African AmericansCancer patientsImmune infiltrationBreast cancerMutation burdenCancer tissuesPredictive signatureMRNA expressionTherapeutic agentsPatientsPrediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements.
Blenman K, Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Pusztai L. Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements. Journal Of Clinical Oncology 2022, 40: 594-594. DOI: 10.1200/jco.2022.40.16_suppl.594.Peer-Reviewed Original ResearchPathologic complete responseBreast cancerNeoadjuvant chemotherapyComplete responseTIL scoreResidual diseaseResponse predictive markersBetter EFSBevacizumab benefitLymphocyte measurementsTIL assessmentFree survivalPredictive markerTIL quantificationInternational guidelinesPretreatment samplesLogistic regressionCancerOutcome discriminationChemotherapyScoresContinuous scoresTumorsClinical adoptionStrong positive correlationClinical outcomes and immune markers by race in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage TNBC.
Foldi J, Kahn A, Silber A, Qing T, Reisenbichler E, Fischbach N, Persico J, Adelson K, Katoch A, Chagpar A, Park T, Blanchard A, Blenman K, Rimm D, Pusztai L. Clinical outcomes and immune markers by race in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage TNBC. Journal Of Clinical Oncology 2022, 40: 516-516. DOI: 10.1200/jco.2022.40.16_suppl.516.Peer-Reviewed Original ResearchImmune-related adverse eventsTriple-negative breast cancerMultivariate logistic regression analysisPD-L1 statusLogistic regression analysisAA raceOverall survivalPathologic responseClinical trialsBreast cancerEarly-stage triple-negative breast cancerIncidence of irAEsPhase I/II trialPathologic complete response rateSignificant associationPhase I/II clinical trialsBaseline body mass indexSafety of immunotherapyWeekly nab-paclitaxelCharlson Comorbidity IndexComplete response ratePrimary efficacy endpointPD-L1 expressionBody mass indexBreast cancer recurrenceAnalysis of the genomic landscapes of Barbadian and Nigerian women with triple negative breast cancer
Hercules SM, Liu X, Bassey-Archibong BBI, Skeete DHA, Smith Connell S, Daramola A, Banjo AA, Ebughe G, Agan T, Ekanem IO, Udosen J, Obiorah C, Ojule AC, Misauno MA, Dauda AM, Egbujo EC, Hercules JC, Ansari A, Brain I, MacColl C, Xu Y, Jin Y, Chang S, Carpten JD, Bédard A, Pond GR, Blenman KRM, Manojlovic Z, Daniel JM. Analysis of the genomic landscapes of Barbadian and Nigerian women with triple negative breast cancer. Cancer Causes & Control 2022, 33: 831-841. PMID: 35384527, PMCID: PMC9085672, DOI: 10.1007/s10552-022-01574-x.Peer-Reviewed Original ResearchConceptsWhole-exome sequencingNegative breast cancerBreast cancerPurposeTriple-negative breast cancerAggressive breast cancer subtypeTriple-negative breast cancerMultisite cross-sectional studyExome sequencingFormalin-fixed paraffin-embedded samplesMutational profileCross-sectional studyBreast cancer subtypesNon-tumor samplesParaffin-embedded samplesCancer Genome AtlasTNBC casesPoor survivalHigh prevalenceTNBC samplesHigh-frequency alterationsAmerican cohortConclusionThis studyFrequency of mutationsCancer subtypesNigerian womenPredictive Markers of Response to Neoadjuvant Durvalumab with Nab-Paclitaxel and Dose-Dense Doxorubicin/Cyclophosphamide in Basal-Like Triple-Negative Breast Cancer.
Blenman KRM, Marczyk M, Karn T, Qing T, Li X, Gunasekharan V, Yaghoobi V, Bai Y, Ibrahim EY, Park T, Silber A, Wolf DM, Reisenbichler E, Denkert C, Sinn BV, Rozenblit M, Foldi J, Rimm DL, Loibl S, Pusztai L. Predictive Markers of Response to Neoadjuvant Durvalumab with Nab-Paclitaxel and Dose-Dense Doxorubicin/Cyclophosphamide in Basal-Like Triple-Negative Breast Cancer. Clinical Cancer Research 2022, 28: 2587-2597. PMID: 35377948, PMCID: PMC9464605, DOI: 10.1158/1078-0432.ccr-21-3215.Peer-Reviewed Original ResearchConceptsBasal-like triple-negative breast cancerPathologic complete responseResidual diseaseNeoadjuvant durvalumabDNA damage repairSomatic mutationsBreast cancerWnt/β-cateninHigh expressionTriple-negative breast cancerBasal-Like TripleDoxorubicin/cyclophosphamideDNA repairTumor mutation burdenRNA sequencingEpithelial-mesenchymal transitionFive-gene signatureB-cell markersCancer driversEnrichment analysisNegative breast cancerDamage repairGene expressionJAK-STATCell cycleAuthor Correction: Neoadjuvant durvalumab plus weekly nab-paclitaxel and dose-dense doxorubicin/cyclophosphamide in triple-negative breast cancer
Foldi J, Silber A, Reisenbichler E, Singh K, Fischbach N, Persico J, Adelson K, Katoch A, Horowitz N, Lannin D, Chagpar A, Park T, Marczyk M, Frederick C, Burrello T, Ibrahim E, Qing T, Bai Y, Blenman K, Rimm DL, Pusztai L. Author Correction: Neoadjuvant durvalumab plus weekly nab-paclitaxel and dose-dense doxorubicin/cyclophosphamide in triple-negative breast cancer. Npj Breast Cancer 2022, 8: 17. PMID: 35115541, PMCID: PMC8814070, DOI: 10.1038/s41523-022-00392-3.Peer-Reviewed Original Research
2021
Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study
Yaghoobi V, Moutafi M, Aung TN, Pelekanou V, Yaghoubi S, Blenman K, Ibrahim E, Vathiotis IA, Shafi S, Sharma A, O’Meara T, Fernandez AI, Pusztai L, Rimm DL. Quantitative assessment of the immune microenvironment in African American Triple Negative Breast Cancer: a case–control study. Breast Cancer Research 2021, 23: 113. PMID: 34906209, PMCID: PMC8670126, DOI: 10.1186/s13058-021-01493-w.Peer-Reviewed Original ResearchConceptsNegative breast cancerT cellsTumor microenvironmentAA patientsImmune cellsAA tumorsBreast cancerPurposeTriple-negative breast cancerAfrican AmericansTriple-negative breast cancerCase-control studySignificant differencesActivated T cellsImmunologic biomarkersPD-L1Lymphocytic infiltrationLymphoid infiltrationImmune microenvironmentControl cohortTNBC tumorsMyeloid markersQuantitative immunofluorescenceMean expression levelPatientsTNBCA Novel Immunomodulatory 27-Gene Signature to Predict Response to Neoadjuvant Immunochemotherapy for Primary Triple-Negative Breast Cancer
Iwase T, Blenman KRM, Li X, Reisenbichler E, Seitz R, Hout D, Nielsen TJ, Schweitzer BL, Bailey DB, Shen Y, Zhang X, Pusztai L, Ueno NT. A Novel Immunomodulatory 27-Gene Signature to Predict Response to Neoadjuvant Immunochemotherapy for Primary Triple-Negative Breast Cancer. Cancers 2021, 13: 4839. PMID: 34638323, PMCID: PMC8508147, DOI: 10.3390/cancers13194839.Peer-Reviewed Original ResearchPD-L1 expressionNeoadjuvant immunochemotherapyPrimary triple-negative breast cancerTriple-negative breast cancerPrecise predictive biomarkersImmunomodulatory subtypeNovel immunomodulatoryPrimary TNBCTNBC responsePCR ratePredictive biomarkersPrimary tumorIM subtypesBreast cancerImmunochemotherapyLarge cohortTNBCImmunohistochemistryPilot studySubtypesExpressionPCRDurvalumabPatientsCohortTumor-Specific Major Histocompatibility-II Expression Predicts Benefit to Anti–PD-1/L1 Therapy in Patients With HER2-Negative Primary Breast CancerMHC-II Is an Immunotherapy Biomarker in Early Breast Cancer
Gonzalez-Ericsson PI, Wulfkhule JD, Gallagher RI, Sun X, Axelrod ML, Sheng Q, Luo N, Gomez H, Sanchez V, Sanders M, Pusztai L, Petricoin E, Blenman K, Balko JM, Team I, Leyland-Jones B, Agency C, Chia S, Serpanchy R, Yu C, University E, McMillan S, Mosley R, Nguyen K, Wood E, Zelnak A, University G, Dillis C, Donnelly R, Harrington T, Isaacs C, Kallakury B, Liu M, Lynce F, Oppong B, Pohlmann P, Tousimis E, Warren R, Willey S, Wong J, Zeck J, Center L, Albain K, Bartolotta M, Bova D, Brooks C, Busby B, Czaplicki K, Duan X, Gamez R, Ganesh K, Gaynor E, Godellas C, Grace-Louthen C, Kuritza T, Lo S, Nagamine A, Perez C, Robinson P, Rosi D, Vaince F, Ward K, Hospital I, Choquette K, Edmiston K, Gallimore H, McGovern J, Mokarem K, Pajaniappan M, Rassulova S, Scott K, Sherwood K, Wright J, Clinic A, Anderson K, Gray R, Myers S, Northfelt D, Pockaj B, Roedig J, Wasif N, Clinic R, Arens A, Boughey J, Brandt K, Carroll J, Chen B, Connors A, Degnim A, Farley D, Greenlee S, Haddad T, Hieken T, Hobday T, Jakub J, Liberte L, Liu M, Loprinzi C, Menard L, Moe M, Moynihan T, O'Sullivan C, Olson E, Peethambaram P, Ruddy K, Russell B, Rynearson A, Smith D, Visscher D, Windish A, Institute H, Cox K, Dawson K, Newton O, Ramirez W, University O, Bengtson H, Bucher J, Chui S, Gilbert-Ghormley B, Hampton R, Kemmer K, Kurdyla D, Nauman D, Spear J, Wilson A, Institute S, Beatty D, Dawson P, Ellis E, Fer M, Hanson J, Goetz M, Haddad T, Iriarte D, Kaplan H, Porter B, Rinn K, Thomas H, Thornton S, Tickman R, Varghis N, Birmingham U, Caterinichia V, Santos J, Falkson C, Forero A, Krontiras H, Vaklavas C, Wei S, University of Arizona, Bauland A, Inclan L, Lewallen D, Powell A, Roney C, Schmidt K, Viscusi R, Wright H, University of California S, Blair S, Boles S, Bykowski J, Datnow B, Densley L, Eghtedari M, Genna V, Hasteh F, Helsten T, Kormanik P, Ojeda-Fournier H, Onyeacholem I, Parker B, Podsada K, Schwab R, Wallace A, Yashar C, University of California S, Alvarado M, Au A, Balassanian R, Benz C, Buxton M, Chen Y, Chien J, D'Andrea C, Davis S, Esserman L, Ewing C, Goga A, Hirst G, Hwang M, Hylton N, Joe B, Lyandres J, Kadafour M, Krings G, Melisko M, Moasser M, Munter P, Ngo Z, Park J, Price E, Rugo H, Veer L, Wong J, Yau C, University of Chicago, Abe H, Jaskowiak N, Nanda R, Olopade F, Schacht D, University of Colorado D, Borges V, Colvin T, Diamond J, Elias A, Finlayson C, Fisher C, Hardesty L, Kabos P, Kounalakis N, Mayordomo J, McSpadden T, Murphy C, Rabinovitch R, Sams S, Shagisultanova E, University of Kansas, Baccaray S, Khan Q, University of Minnesota, Beckwith H, Blaes A, Emory T, Haddad T, Hui J, Klein M, Kuehn-Hajder J, Nelson M, Potter D, Tuttle T, Yee D, Zera R, University of Pennsylvania, Bayne L, Bradbury A, Clark A, DeMichele A, Domchek S, Fisher C, Fox K, Frazee D, Lackaye M, Matro J, McDonald E, Rosen M, Shah P, Tchou J, Volpe M, Center U, Alvarez R, Barcenas C, Berry D, Booser D, Brewster A, Brown P, Gonzalez-Angulo A, Ibrahim N, Karuturi M, Koenig K, Moulder S, Murray J, Murthy R, Pusztai L, Saigal B, Symmans W, Tripathy D, Theriault R, Ueno N, Valero V, California U, Brown M, Carranza M, Flores Y, Lang J, Luna A, Perez N, Tripathy D, Watkins K, Center U, Armstrong S, Boyd C, Chen L, Clark V, Frankel A, Euhus D, Froehlich T, Goudreau S, Haley B, Harker-Murray A, Klemow D, Leitch A, Leon R, Li H, Morgan T, Qureshi N, Rao R, Reeves M, Rivers A, Sadeghi N, Seiler S, Staves B, Tagoe V, Thomas G, Tripathy D, Unni N, Weyandt S, Wooldridge R, Zuckerman J, Universty of Washington, Korde L, Griffin M, Butler B, Cundy A, Rubinstein L, Hixson C. Tumor-Specific Major Histocompatibility-II Expression Predicts Benefit to Anti–PD-1/L1 Therapy in Patients With HER2-Negative Primary Breast CancerMHC-II Is an Immunotherapy Biomarker in Early Breast Cancer. Clinical Cancer Research 2021, 27: 5299-5306. PMID: 34315723, PMCID: PMC8792110, DOI: 10.1158/1078-0432.ccr-21-0607.Peer-Reviewed Original ResearchConceptsStandard neoadjuvant chemotherapyTriple-negative breast cancerNeoadjuvant chemotherapyBreast cancerMHC-IITumor cellsAnti-PD-1/L1 therapyEstrogen receptor-positive breast cancerPhase II/III clinical trialsNeoadjuvant breast cancer settingPathologic complete response rateHER2-negative breast cancerReceptor-positive breast cancerAddition of immunotherapyHLA-DR positivityBreast cancer settingComplete response rateHER2-negative patientsCohort of patientsEarly breast cancerMHC-II expressionPan-cancer biomarkerImmunotherapy benefitL1 therapyMost patients