2021
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
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 patientsClinicopathologic and Genomic Landscape of Breast Carcinoma Brain Metastases
Huang RSP, Haberberger J, McGregor K, Mata DA, Decker B, Hiemenz MC, Lechpammer M, Danziger N, Schiavone K, Creeden J, Graf RP, Strowd R, Lesser GJ, Razis ED, Bartsch R, Giannoudis A, Bhogal T, Lin NU, Pusztai L, Ross JS, Palmieri C, Ramkissoon SH. Clinicopathologic and Genomic Landscape of Breast Carcinoma Brain Metastases. The Oncologist 2021, 26: 835-844. PMID: 34105210, PMCID: PMC8488784, DOI: 10.1002/onco.13855.Peer-Reviewed Original ResearchConceptsComprehensive genomic profilingPD-L1 immunohistochemistryBrain metastasesTumor mutational burdenPrimary breast carcinomaRelevant genomic alterationsBreast carcinomaPrimary tumorHigh prevalenceMutational burdenCerebrospinal fluidTissue acquisitionCatalytic polypeptide-like (APOBEC) mutational signatureGenomic alterationsPrimary breast carcinoma specimensHigh tumor mutational burdenGenomic profilingTriple-negative breast carcinomaTNBC brain metastasisCohort of patientsBrain metastasis samplesBreast carcinoma specimensHigher positive rateHigh microsatellite instabilityApolipoprotein B mRNA editing enzyme
2013
A 3-gene proliferation score (TOP-FOX-67) can re-classify histological grade-2, ER-positive breast cancers into low- and high-risk prognostic categories
Szekely B, Iwamoto T, Szasz AM, Qi Y, Matsuoka J, Symmans WF, Tokes AM, Kulka J, Swanton C, Pusztai L. A 3-gene proliferation score (TOP-FOX-67) can re-classify histological grade-2, ER-positive breast cancers into low- and high-risk prognostic categories. Breast Cancer Research And Treatment 2013, 138: 691-698. PMID: 23504136, DOI: 10.1007/s10549-013-2475-4.Peer-Reviewed Original ResearchMeSH KeywordsAntigens, NeoplasmBreast NeoplasmsCell ProliferationChemotherapy, AdjuvantCohort StudiesDatabases, GeneticDNA Topoisomerases, Type IIDNA-Binding ProteinsFemaleForkhead Box Protein M1Forkhead Transcription FactorsGene Expression Regulation, NeoplasticGenome, HumanHumansKi-67 AntigenPoly-ADP-Ribose Binding ProteinsPredictive Value of TestsPrognosisReceptors, EstrogenSurvival RateTamoxifenConceptsGenomic grade indexGrade 2 cancersPrognostic valueProliferation scoreBreast cancerDistant metastasis-free survival curvesGrade 2Metastasis-free survival curvesER-positive breast cancerSystemic adjuvant therapyHigh expressionCohort of patientsHistological grade 2Intermediate-risk cancerPositive breast cancerSimilar prognostic valueGrade 2 tumorsHigh-risk groupGrade 1 cancersHistological grade groupsNon-significant trendWorse DMFSAdjuvant tamoxifenAdjuvant therapyWorse survival
2011
Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer
Gonzalez-Angulo AM, Hennessy BT, Meric-Bernstam F, Sahin A, Liu W, Ju Z, Carey MS, Myhre S, Speers C, Deng L, Broaddus R, Lluch A, Aparicio S, Brown P, Pusztai L, Symmans WF, Alsner J, Overgaard J, Borresen-Dale AL, Hortobagyi GN, Coombes KR, Mills GB. Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer. Clinical Proteomics 2011, 8: 11. PMID: 21906370, PMCID: PMC3170272, DOI: 10.1186/1559-0275-8-11.Peer-Reviewed Original ResearchRecurrence-free survivalPathological complete responseBreast cancerComplete responseBiomarker panelDifferent recurrence-free survivalPathologic complete responseCohort of patientsPrimary breast cancerManagement of patientsBreast cancer subgroupsSurgical excision specimensProbability of recurrenceNeoadjuvant taxaneSystemic therapyPrognostic scorePrognostic groupsPrognosis scoreOrdinal logistic regressionCancer subgroupsExcision specimensPatientsFNA biopsySignificant associationPhase protein array
2010
Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials
Juul N, Szallasi Z, Eklund AC, Li Q, Burrell RA, Gerlinger M, Valero V, Andreopoulou E, Esteva FJ, Symmans WF, Desmedt C, Haibe-Kains B, Sotiriou C, Pusztai L, Swanton C. Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials. The Lancet Oncology 2010, 11: 358-365. PMID: 20189874, DOI: 10.1016/s1470-2045(10)70018-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsArea Under CurveBreast NeoplasmsCeramidesDrug Screening Assays, AntitumorFemaleHumansLogistic ModelsMetagenomicsMiddle AgedMitosisModels, GeneticMultivariate AnalysisNeoadjuvant TherapyPaclitaxelPredictive Value of TestsRetrospective StudiesRNA InterferenceConceptsTriple-negative breast cancerPathological complete responseMultivariate logistic regressionBreast cancerClinical trialsPrimary triple-negative breast cancerEpidermal growth factor receptor 2Logistic regressionBreast Cancer Research FoundationAddition of taxanesPaclitaxel-containing chemotherapyClinical trial cohortProportion of patientsCohort of patientsGrowth factor receptor 2Paclitaxel combination chemotherapyUK Medical Research CouncilAlternative treatment regimensPredictors of responseCancer Research UKBreast cancer cell linesTriple-negative breast cancer cell linesFactor receptor 2Cancer Research FoundationCell lines
2009
Different Biological Processes Are Associated with Prognosis and Chemotherapy Sensitivity in the Different Molecular Subtypes of Breast Cancer.
Iwamoto T, Iwamoto T, Bianchini G, Coutant C, Shiang C, Matsuoka J, Symmans W, Hortobagyi G, Simon R, Pusztai L. Different Biological Processes Are Associated with Prognosis and Chemotherapy Sensitivity in the Different Molecular Subtypes of Breast Cancer. Cancer Research 2009, 69: 6124-6124. DOI: 10.1158/0008-5472.sabcs-09-6124.Peer-Reviewed Original ResearchER- cancersDifferent molecular subtypesChemotherapy sensitivityChemotherapy responseBreast cancerMolecular subtypesMeta-AnalysisPrognostic pathwaysCohort of patientsPlasma cell functionT cell differentiationNeoadjuvant therapySeparate cohortImmune functionPrognosisGlycolipid metabolismPredictive gene setsBlood vessel formationDifferent subtypesCancerCancer ResOxidative stressCell functionSubtypesVessel formation