2021
The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
El Bairi K, Haynes HR, Blackley E, Fineberg S, Shear J, Turner S, de Freitas JR, Sur D, Amendola LC, Gharib M, Kallala A, Arun I, Azmoudeh-Ardalan F, Fujimoto L, Sua LF, Liu SW, Lien HC, Kirtani P, Balancin M, El Attar H, Guleria P, Yang W, Shash E, Chen IC, Bautista V, Do Prado Moura JF, Rapoport BL, Castaneda C, Spengler E, Acosta-Haab G, Frahm I, Sanchez J, Castillo M, Bouchmaa N, Md Zin RR, Shui R, Onyuma T, Yang W, Husain Z, Willard-Gallo K, Coosemans A, Perez EA, Provenzano E, Ericsson PG, Richardet E, Mehrotra R, Sarancone S, Ehinger A, Rimm DL, Bartlett JMS, Viale G, Denkert C, Hida AI, Sotiriou C, Loibl S, Hewitt SM, Badve S, Symmans WF, Kim RS, Pruneri G, Goel S, Francis PA, Inurrigarro G, Yamaguchi R, Garcia-Rivello H, Horlings H, Afqir S, Salgado R, Adams S, Kok M, Dieci MV, Michiels S, Demaria S, Loi S. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group. Npj Breast Cancer 2021, 7: 150. PMID: 34853355, PMCID: PMC8636568, DOI: 10.1038/s41523-021-00346-1.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesImmune checkpoint inhibitorsInternational Immuno-Oncology Biomarker Working GroupBiomarker Working GroupBreast cancerTriple-negative breast cancerSubgroup of womenDeath-1Middle-income countriesPD-L1TIL analysisCytotoxic treatmentCancer settingPrognostic biomarkerClinical utilityClinical validityPatient advocatesWorking GroupClinical utilizationModern oncologyPatientsLymphocytesCancerFuture approachesImmunotherapy
2020
Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group
Nielsen TO, Leung SCY, Rimm DL, Dodson A, Acs B, Badve S, Denkert C, Ellis MJ, Fineberg S, Flowers M, Kreipe HH, Laenkholm AV, Pan H, Penault-Llorca FM, Polley MY, Salgado R, Smith IE, Sugie T, Bartlett JMS, McShane LM, Dowsett M, Hayes DF. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group. Journal Of The National Cancer Institute 2020, 113: 808-819. PMID: 33369635, PMCID: PMC8487652, DOI: 10.1093/jnci/djaa201.Peer-Reviewed Original ResearchConceptsBreast cancerClinical utilityKi67 immunohistochemistryInternational Ki67Breast Cancer Working GroupAnalytical validityAssessment of Ki67HER2-negative patientsBreast cancer careCancer Working GroupGroup consensus meetingAdjuvant chemotherapyVisual scoring methodPatient groupCancer careT1-2Prognostic markerPrognosis assessmentPrognosis estimationTreatment decisionsEstrogen receptorHER2 testingConsensus meetingCurrent evidenceClinical validity
2019
Addressing the dichotomy between individual and societal approaches to personalised medicine in oncology
Salgado R, Solit DB, Rimm DL, Bogaerts J, Canetta R, Lively T, Lyerly K, Span PN, Bateman-House A, Makady A, Bergmann L, Nagai S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Lambin P, Thomas M, Harris L, Lacombe D, Massard C, Bernards R, Bogaerts J, Canetta R, Sullivan R, Tejpar S, Lukinova N, Lyerly H, Moore H, Smith M, Yee L, DuBois R, Hahn W, Janne P, Solit D, Willman C, Rimm D, Bateman-House A, Makady A, Bergmann L, Nagai S, Thomas M, Cree I, Hegde P, Hopper S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Ingelman-Sundberg M, Nichols G, Maignen F, Besse B, Swierzewski R, Lambin P, Kiermaier A, Lacombe D, Lively T, Massard C, Caliguri M, Velculescu V, Foggi P, Hahn W, Lukinova N, Salgado R, Golfinopoulos V. Addressing the dichotomy between individual and societal approaches to personalised medicine in oncology. European Journal Of Cancer 2019, 114: 128-136. PMID: 31060925, DOI: 10.1016/j.ejca.2019.03.025.Peer-Reviewed Original ResearchConceptsReal-world evidenceClinical trialsSystemic therapeutic interventionsNovel clinical trialsNovel trial designsCancer clinical researchComprehensive tumor profilingHealth care delivery systemTumor-derived DNAIndividual molecular profileCancer drug developmentGold standard approachPatient tumorsClinical utilityTrial designTherapeutic interventionsTumor profilingPatient advocatesClinical researchMolecular profileDrug developmentTrialsPhysician autonomyDelivery systemPatients
2017
A Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1
Gaule P, Smithy JW, Toki M, Rehman J, Patell-Socha F, Cougot D, Collin P, Morrill P, Neumeister V, Rimm DL. A Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1. JAMA Oncology 2017, 3: 256-259. PMID: 27541827, PMCID: PMC5491359, DOI: 10.1001/jamaoncol.2016.3015.Peer-Reviewed Original ResearchPD-L1 expressionPD-L1Tissue microarrayImmunohistochemical analysisCell death 1 ligand 1PD-1 axis inhibitorsDeath 1 ligand 1Quantitative immunofluorescenceCell linesPredictive diagnostic testsTumor tissue coresPD-L1 proteinPrediction of responseYale Pathology archivesLung cancerClinical utilityPathology archivesDiagnostic testsMonoclonal antibodiesAntibodiesTissue controlsProtein levelsTissue coresLigand 1Concordant results
2014
Multiplexed Quantitative Analysis of CD3, CD8, and CD20 Predicts Response to Neoadjuvant Chemotherapy in Breast Cancer
Brown JR, Wimberly H, Lannin DR, Nixon C, Rimm DL, Bossuyt V. Multiplexed Quantitative Analysis of CD3, CD8, and CD20 Predicts Response to Neoadjuvant Chemotherapy in Breast Cancer. Clinical Cancer Research 2014, 20: 5995-6005. PMID: 25255793, PMCID: PMC4252785, DOI: 10.1158/1078-0432.ccr-14-1622.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntigens, CD20Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCD3 ComplexCD8 AntigensChemotherapy, AdjuvantFemaleHumansImmunophenotypingLymphocyte SubsetsLymphocytes, Tumor-InfiltratingMiddle AgedNeoadjuvant TherapyNeoplasm GradingNeoplasm StagingPrognosisReproducibility of ResultsTreatment OutcomeTumor BurdenConceptsTumor-infiltrating lymphocytesPathologic complete responseBreast cancerTonsil specimensPredictive valueAQUA scoreQuantitative immunofluorescenceFlow cytometryFuture larger studiesPathologist estimationNeoadjuvant cohortNeoadjuvant chemotherapyNeoadjuvant therapyLymphocyte infiltratesTIL countComplete responseNodal statusLymphocyte percentageLymphocyte subpopulationsStromal expressionNuclear gradeUnivariate analysisKi-67CD8Clinical utility
2012
Validation of IHC4 algorithms for prediction of risk of recurrence in early breast cancer using both conventional and quantitative IHC approaches.
Christiansen J, Bartlett J, Gustavson M, Rimm D, Robson T, Van De Velde C, Hasenburg A, Kieback D, Putter H, Markopoulos C, Dirix L, Seynaeve C, Rea D. Validation of IHC4 algorithms for prediction of risk of recurrence in early breast cancer using both conventional and quantitative IHC approaches. Journal Of Clinical Oncology 2012, 30: 517-517. DOI: 10.1200/jco.2012.30.15_suppl.517.Peer-Reviewed Original ResearchEarly breast cancerBreast cancerDAB IHCHazard ratioDisease recurrenceCox proportional hazard modelingKaplan-Meier survival analysisCox proportional hazards modelC-index calculationClinical prognostic factorsProportional hazard modelingProportional hazards modelResidual riskHormone therapyIndependent predictorsPrognostic factorsPrediction of riskRisk markersClinical utilityHazards modelRecurrence riskRecurrencePathology studiesSurvival analysisMultivariate analysis