2023
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Page D, Broeckx G, Jahangir C, Verbandt S, Gupta R, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Haab G, Acs B, Akturk G, Almeida J, Alvarado‐Cabrero I, Azmoudeh‐Ardalan F, Badve S, Baharun N, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Bouchmaa N, Burgues O, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Portela F, Deman F, Demaria S, Dudgeon S, Elghazawy M, Ely S, Fernandez‐Martín C, Fineberg S, Fox S, Gallagher W, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hardas A, Hart S, Hartman J, 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, Vincent‐Salomon A, Salto‐Tellez M, Saltz J, Sayed 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, van Diest P, Verghese G, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Stovgaard E. Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2023, 260: 514-532. PMID: 37608771, PMCID: PMC11288334, DOI: 10.1002/path.6165.Peer-Reviewed Original ResearchPitfalls 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 patternsAssessmentLymphocytesBiomarkersNeoadjuvant Immunotherapy in Early, Triple-Negative Breast Cancers: Catching Up with the Rest
Kim L, Coman M, Pusztai L, Park T. Neoadjuvant Immunotherapy in Early, Triple-Negative Breast Cancers: Catching Up with the Rest. Annals Of Surgical Oncology 2023, 30: 6441-6449. PMID: 37349612, DOI: 10.1245/s10434-023-13714-x.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerTumor mutational burdenBreast cancerAdjuvant therapyPathological complete response rateImmune checkpoint modulationComplete response rateExcellent clinical outcomesCombination immunochemotherapyNeoadjuvant immunotherapyNeoadjuvant settingNeoadjuvant chemotherapyOverall survivalPD-L1Checkpoint modulationClinical outcomesMajor trialsMutational burdenResponse rateCancer typesCancerTherapyBiomarkersOutcomesExciting advancesTumor-Derived Extracellular Vesicles as Complementary Prognostic Factors to Circulating Tumor Cells in Metastatic Breast Cancer
Nanou A, Miao J, Coumans F, Dolce E, Darga E, Barlow W, Smerage J, Paoletti C, Godwin A, Pusztai L, Sharma P, Thompson A, Hortobagyi G, Terstappen L, Hayes D. Tumor-Derived Extracellular Vesicles as Complementary Prognostic Factors to Circulating Tumor Cells in Metastatic Breast Cancer. JCO Precision Oncology 2023, 7: e2200372. PMID: 36634296, PMCID: PMC9928629, DOI: 10.1200/po.22.00372.Peer-Reviewed Original ResearchConceptsCycles of chemotherapyMetastatic breast cancerTumor-derived extracellular vesiclesOverall survivalBreast cancerTumor cellsExtracellular vesiclesComplementary prognostic factorComplementary prognostic valuePoor overall survivalAdditional prognostic biomarkerLonger OSPrognostic factorsPrognostic significanceCTC countPrognostic valuePrognostic biomarkerChemotherapyCancerPatientsCTCsCellsBiomarkers
2022
Intratumour heterogeneity, from hypothesis to the clinic
Shan NL, Kahn A, Pusztai L. Intratumour heterogeneity, from hypothesis to the clinic. British Journal Of Cancer 2022, 128: 459-460. PMID: 36216884, PMCID: PMC9938204, DOI: 10.1038/s41416-022-02008-w.Commentaries, Editorials and LettersRedefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies
Wolf DM, Yau C, Wulfkuhle J, Brown-Swigart L, Gallagher RI, Lee PRE, Zhu Z, Magbanua MJ, Sayaman R, O’Grady N, Basu A, Delson A, Coppé JP, Lu R, Braun J, Investigators I, Asare SM, Sit L, Matthews JB, Perlmutter J, Hylton N, Liu MC, Pohlmann P, Symmans WF, Rugo HS, Isaacs C, DeMichele AM, Yee D, Berry DA, Pusztai L, Petricoin EF, Hirst GL, Esserman LJ, van 't Veer LJ. Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies. Cancer Cell 2022, 40: 609-623.e6. PMID: 35623341, PMCID: PMC9426306, DOI: 10.1016/j.ccell.2022.05.005.Peer-Reviewed Original ResearchConceptsBreast cancer subtypesHormone receptorsHuman epidermal growth factor receptor 2 (HER2) statusCancer subtypesEpidermal growth factor receptor 2 statusPathologic complete response rateTreatment prioritizationComplete response ratePatient selectionPredictive biomarkersTreatment allocationPlatform trialsClinical dataLuminal phenotypeTreatment selectionResponse rateTumor biologyNew treatmentsDrug responseSubtypesCancer therapyBiomarkersProtein/phosphoproteinGene expressionDiverse biology
2016
Assessing cost-utility of predictive biomarkers in oncology: a streamlined approach
Safonov A, Wang S, Gross CP, Agarwal D, Bianchini G, Pusztai L, Hatzis C. Assessing cost-utility of predictive biomarkers in oncology: a streamlined approach. Breast Cancer Research And Treatment 2016, 155: 223-234. PMID: 26749360, PMCID: PMC5990969, DOI: 10.1007/s10549-016-3677-3.Peer-Reviewed Original ResearchConceptsQuality-adjusted life yearsCost-effectiveness analysisPredictive biomarkersBiomarker-guided treatmentIncremental cost-effectiveness ratioHealth-related qualityTreatment costsCost-effectiveness ratioClinical outcomesClinical efficacyPrognostic biomarkerTraditional cost-effectiveness analysisBiomarker useLife yearsBiomarker valuesBiomarker prevalenceClinical literatureBiomarkersTreatmentState transition modelDecision analytic approachMedical utilityDecision analytic toolsCrizotinibHER2
2013
Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients
Haibe-Kains B, Desmedt C, Di Leo A, Azambuja E, Larsimont D, Selleslags J, Delaloge S, Duhem C, Kains JP, Carly B, Maerevoet M, Vindevoghel A, Rouas G, Lallemand F, Durbecq V, Cardoso F, Salgado R, Rovere R, Bontempi G, Michiels S, Buyse M, Nogaret JM, Qi Y, Symmans F, Pusztai L, D'Hondt V, Piccart-Gebhart M, Sotiriou C. Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients. Data In Brief 2013, 1: 7-10. PMID: 26484051, PMCID: PMC4608867, DOI: 10.1016/j.gdata.2013.09.001.Peer-Reviewed Original ResearchBreast cancer patientsResponse/resistanceAnthracycline monotherapyNeoadjuvant trialsGene expression signaturesNegative tumorsCancer patientsBreast cancerClinical dataEstrogen receptorClinical OncologyPredictive valuePatientsAnthracyclinesGene expressionII alphaExpression signaturesGenome-wide gene expressionMonotherapyExpressionTumorsCancerOncologyTrialsBiomarkers
2011
Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response
Li Q, Eklund AC, Birkbak NJ, Desmedt C, Haibe-Kains B, Sotiriou C, Symmans WF, Pusztai L, Brunak S, Richardson AL, Szallasi Z. Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response. BMC Bioinformatics 2011, 12: 310. PMID: 21798043, PMCID: PMC3155975, DOI: 10.1186/1471-2105-12-310.Peer-Reviewed Original ResearchConceptsEarly-stage lung cancerStage lung cancerNegative breast cancerCancer treatment decisionsHuman tumor samplesNeoadjuvant therapyChemotherapy responseLung cancerBreast cancerTreatment decisionsIndependent cohortPrognostic classifierAccurate biomarkersCancer expression profilesTumor typesPotential biomarkersTumor samplesConclusionsThese resultsSpecific predictorsStrong associationReliable predictorCohortCancerPredictorsBiomarkers
2008
Molecular Pathology and Transcriptional Profiling in Early Drug Development
Liedtke C, Pusztai L, Symmans W. Molecular Pathology and Transcriptional Profiling in Early Drug Development. 2008, 47-84. DOI: 10.1002/9780470475959.ch3.Peer-Reviewed Original ResearchNeoadjuvant chemotherapyClinical settingMultigene predictorsBiomarker developmentClinical drugsIntroduction BiomarkersTranscriptional profilingEarly drug developmentMolecular pathologyBiomarkersChanging ParadigmChemotherapyDrug developmentNovel toolDrugsIntriguing modelPredictorsSettingPathologyProfilingPredictive biomarkers for preoperative endocrine therapy of stage II-III breast cancer by tissue microarrays
Zoubir M, Mathieu M, Liedtke C, Bidard F, Delaloge S, Corley L, Spielmann M, Pusztai L, André F, Symmans W. Predictive biomarkers for preoperative endocrine therapy of stage II-III breast cancer by tissue microarrays. Journal Of Clinical Oncology 2008, 26: 560-560. DOI: 10.1200/jco.2008.26.15_suppl.560.Peer-Reviewed Original ResearchBiomarkers as potential predictors of pathologic complete response (pCR) in the NOAH trial of neoadjuvant trastuzumab in patients (pts) with HER2-positive locally advanced breast cancer (LABC)
Gianni L, Eiermann W, Pusztai L, Semiglazov V, Hoegel B, Koehler A, Manikhas G, Bates M, Valagussa P, Baselga J. Biomarkers as potential predictors of pathologic complete response (pCR) in the NOAH trial of neoadjuvant trastuzumab in patients (pts) with HER2-positive locally advanced breast cancer (LABC). Journal Of Clinical Oncology 2008, 26: 504-504. DOI: 10.1200/jco.2008.26.15_suppl.504.Peer-Reviewed Original Research
2006
Heterogeneity of Breast Cancer among Patients and Implications for Patient Selection for Adjuvant Chemotherapy
Andre F, Pusztai L. Heterogeneity of Breast Cancer among Patients and Implications for Patient Selection for Adjuvant Chemotherapy. Pharmaceutical Research 2006, 23: 1951-1958. PMID: 16906452, DOI: 10.1007/s11095-006-9075-5.Peer-Reviewed Original ResearchConceptsAdjuvant chemotherapyBreast cancerPredictive valuePatient selectionSuch therapySingle biomarkerHeterogeneity of cancerChemotherapyPatientsCancerDaily practiceBiomarkersAbsolute effectLarge-scale genomic analysisFunctional pathwaysDistinct subclassesLarge populationHomogeneous subclassesTherapyDNA arrays as predictors of efficacy of adjuvant/neoadjuvant chemotherapy in breast cancer patients: Current data and issues on study design
Andre F, Mazouni C, Hortobagyi GN, Pusztai L. DNA arrays as predictors of efficacy of adjuvant/neoadjuvant chemotherapy in breast cancer patients: Current data and issues on study design. Biochimica Et Biophysica Acta 2006, 1766: 197-204. PMID: 16962247, DOI: 10.1016/j.bbcan.2006.08.002.Peer-Reviewed Original ResearchConceptsStudy designPredictive biomarkersBreast cancer patientsPredictors of efficacyBreast cancer populationCase-control studySevere side effectsNeoadjuvant chemotherapyResistant patientsCancer patientsCancer populationBreast cancerSide effectsMolecular subclassesPredictive diagnostic toolGene signatureChemotherapyPatientsCancer pharmacogenomicsVariable benefitDiagnostic toolBiomarkersCurrent dataEfficacyPredictorsHétérogénéité moléculaire des cancers du sein: quelles implications pour la sélection des patientes en vue d’une chimiothérapie adjuvante?
André F, Pusztai L. Hétérogénéité moléculaire des cancers du sein: quelles implications pour la sélection des patientes en vue d’une chimiothérapie adjuvante? Oncologie 2006, 8: 235-242. DOI: 10.1007/s10269-006-0382-6.Peer-Reviewed Original Research
2005
Breast Cancer Biomarkers
Ross JS, Symmans WF, Pusztai L, Hortobagyi GN. Breast Cancer Biomarkers. Advances In Clinical Chemistry 2005, 40: 99-125. PMID: 16355921, DOI: 10.1016/s0065-2423(05)40003-7.Peer-Reviewed Original Research