2024
BCAM (basal cell adhesion molecule) protein expression in different tumor populations
Burela S, He M, Trontzas I, Gavrielatou N, Schalper K, Langermann S, Flies D, Rimm D, Aung T. BCAM (basal cell adhesion molecule) protein expression in different tumor populations. Discover Oncology 2024, 15: 381. PMID: 39207605, PMCID: PMC11362396, DOI: 10.1007/s12672-024-01244-1.Peer-Reviewed Original ResearchPD-L1 expressionBasal cell adhesion moleculePD-L1Quantitative immunofluorescenceAssociated with better OSPD-L1 protein expressionCancer typesBladder urothelial tumorsProtein expressionMultiple immune checkpointsHead and neckMultiple tumor typesEvidence of hypermethylationImmune checkpointsImmunotherapy responseCell adhesion moleculesTumor typesValidation cohortTumor populationCancer patientsTumorPredictive valueAdhesion moleculesNovel biomarkersWidespread expression
2023
Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer
Barrera C, Corredor G, Viswanathan V, Ding R, Toro P, Fu P, Buzzy C, Lu C, Velu P, Zens P, Berezowska S, Belete M, Balli D, Chang H, Baxi V, Syrigos K, Rimm D, Velcheti V, Schalper K, Romero E, Madabhushi A. Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer. Npj Precision Oncology 2023, 7: 52. PMID: 37264091, PMCID: PMC10235089, DOI: 10.1038/s41698-023-00403-x.Peer-Reviewed Original ResearchNon-small cell lung cancerTumor-infiltrating lymphocytesLung cancerEffective adaptive immune responseImmune checkpoint blockersCell lung cancerLung cancer patientsTumor immune microenvironmentAdaptive immune responsesImmune-related biomarkersTreatment-specific outcomesCheckMate 057Histology variantsImmunotherapy resistanceCheckpoint blockersRegulatory cellsTumor rejectionTumor-immune interactionsClinical outcomesImmunosuppressive signalsClinical benefitInfluence prognosisImmune microenvironmentCancer patientsPatient outcomes
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 ResearchConceptsHER2 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
What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study
Pizzamiglio S, Cosentino G, Ciniselli CM, De Cecco L, Cataldo A, Plantamura I, Triulzi T, El‐abed S, Wang Y, Bajji M, Nuciforo P, Huober J, Ellard SL, Rimm DL, Gombos A, Daidone MG, Verderio P, Tagliabue E, Di Cosimo S, Iorio MV. What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study. Cancer Medicine 2021, 11: 332-339. PMID: 34921525, PMCID: PMC8729061, DOI: 10.1002/cam4.4449.Peer-Reviewed Original ResearchConceptsHER2-positive breast cancer patientsEvent-free survivalBreast cancer patientsNeoadjuvant therapyCancer patientsPathological complete response rateSingle-agent trastuzumabTwo-miRNA signatureComplete response rateDifferential clinical outcomesPredictive miRNA signatureTrastuzumab armBaseline biopsiesClinical outcomesPathological variablesPrognostic valueUnivariate analysisAgent trastuzumabPrognostic signatureResponse ratePatientsTissue miRNAsMiRNA expression profilesMiRNA signatureMultivariate modelInterplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study
Zerdes I, Simonetti M, Matikas A, Harbers L, Acs B, Boyaci C, Zhang N, Salgkamis D, Agartz S, Moreno-Ruiz P, Bai Y, Rimm DL, Hartman J, Mezheyeuski A, Bergh J, Crosetto N, Foukakis T. Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study. Npj Breast Cancer 2021, 7: 144. PMID: 34799582, PMCID: PMC8604966, DOI: 10.1038/s41523-021-00352-3.Peer-Reviewed Original ResearchMultiplexed fluorescent immunohistochemistryPhase II trialII trialEarly breast cancer patientsSomatic copy number alterationsCopy number alterationsEarly breast cancerBreast cancer patientsAbundant immune cellsImmune cell compositionParaffin-embedded tissue samplesNumber alterationsImmune profilePD-1PD-L1Immune profilingLymphocytic infiltrationCancer patientsImmune cellsBreast cancerT cellsLarge cohortFluorescent immunohistochemistryTissue samplesPathological samplesQuantitative Assessment of CD200 and CD200R Expression in Lung Cancer
Vathiotis IA, MacNeil T, Zugazagoitia J, Syrigos KN, Aung TN, Gruver AM, Vaillancourt P, Hughes I, Hinton S, Driscoll K, Rimm DL. Quantitative Assessment of CD200 and CD200R Expression in Lung Cancer. Cancers 2021, 13: 1024. PMID: 33804482, PMCID: PMC7957629, DOI: 10.3390/cancers13051024.Peer-Reviewed Original ResearchLung cancer patientsCD200R expressionClinicopathologic characteristicsPD-L1Cancer patientsLung cancerImmune cellsLarge-cell neuroendocrine carcinoma patientsMutation statusNon-small cell lung cancer patientsCell lung cancer patientsQuantitative immunofluorescenceMultiplexed quantitative immunofluorescenceNeuroendocrine carcinoma patientsExpression of CD200Lung cancer cohortTumor cell stainingLCNEC patientsOverall survivalCarcinoma patientsImmune checkpointsImmune therapyTumor positivitySquamous differentiationCancer cohortP33.02 Comparison of PD-L1 Protein Expression Between Primary and Metastatic Lesions in Lung Cancer Patients
Moutafi M, Tao W, Huang R, Haberberger J, Alexander B, Ramkissoon S, Ross J, Syrigos K, Wei W, Pusztai L, Rimm D, Vathiotis I. P33.02 Comparison of PD-L1 Protein Expression Between Primary and Metastatic Lesions in Lung Cancer Patients. Journal Of Thoracic Oncology 2021, 16: s405-s406. DOI: 10.1016/j.jtho.2021.01.671.Peer-Reviewed Original Research
2019
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer
Barrera C, Corredor G, Wang X, Schalper K, Rimm D, Velcheti V, Madabhushi A, Castro E. Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Progress In Biomedical Optics And Imaging 2019, 10956: 1095607-1095607-8. DOI: 10.1117/12.2513048.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesTIL densityLung cancerEarly stage non-small cell lung cancer patientsNon-small cell lung cancer patientsCell lung cancer patientsEarly-stage lung cancerKaplan-Meier analysisLung cancer patientsStage lung cancerLikelihood of recurrenceBetter prognosisLate recurrenceCancer patientsDifferent cancer typesDisease outcomeRecurrenceDifferent subtypesCancer typesLymphocytesCancerPatientsPrognosisIndependent validation
2018
An assessment of neuronal calcium sensor-1 and response to neoadjuvant chemotherapy in breast cancer patients
Moore LM, Wilkinson R, Altan M, Toki M, Carvajal-Hausdorf DE, McGuire J, Ehrlich BE, Rimm DL. An assessment of neuronal calcium sensor-1 and response to neoadjuvant chemotherapy in breast cancer patients. Npj Breast Cancer 2018, 4: 6. PMID: 29560416, PMCID: PMC5847580, DOI: 10.1038/s41523-018-0057-7.Peer-Reviewed Original ResearchTaxane-based neoadjuvant chemotherapyPathological complete responseNeuronal calcium sensor-1Neoadjuvant chemotherapyNCS-1 expressionBreast cancer patientsPoor clinical outcomeEfficacy of paclitaxelBreast cancer biopsiesComplete responseClinical outcomesCancer patientsPredictive biomarkersBreast cancerCancer biopsiesChemotherapyElevated expressionPaclitaxelPrevious studiesResponseBiopsyPatientsExpressionTaxanesCancer
2016
Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer
Rehman JA, Han G, Carvajal-Hausdorf DE, Wasserman BE, Pelekanou V, Mani NL, McLaughlin J, Schalper KA, Rimm DL. Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer. Modern Pathology 2016, 30: 340-349. PMID: 27834350, PMCID: PMC5334264, DOI: 10.1038/modpathol.2016.186.Peer-Reviewed Original ResearchConceptsPD-L1 expressionPD-L1Immune cellsImmune cell PD-L1 expressionNon-small cell lung cancerNon-small cell lung cancer (NSCLC) casesCell lung cancer casesTumor cellsPD-L1 assessmentStromal immune cellsPD-L1 positivityCell lung cancerLung cancer patientsLung cancer casesRepresentative tumor areasPathologist scoresLikelihood of responseConcordance correlation coefficientRabbit monoclonal antibodyIntraclass correlation coefficientCancer patientsLung cancerImmunohistochemistry slidesCancer casesTumor tissue
2015
High level PHGDH expression in breast is predominantly associated with keratin 5‐positive cell lineage independently of malignancy
Gromova I, Gromov P, Honma N, Kumar S, Rimm D, Talman ML, Wielenga VT, Moreira JM. High level PHGDH expression in breast is predominantly associated with keratin 5‐positive cell lineage independently of malignancy. Molecular Oncology 2015, 9: 1636-1654. PMID: 26026368, PMCID: PMC5528790, DOI: 10.1016/j.molonc.2015.05.003.Peer-Reviewed Original ResearchConceptsOverexpression of PhgdhPHGDH expressionMammary epithelial cellsTriple-negative breast cancer patientsNegative breast cancer patientsEpithelial cellsBreast cancer patientsNormal breast tissueCell lineagesMammary tissue samplesHigh-level expressionExpression of PHGDHProspective cohortCancer patientsCK5-positive cellsBasal phenotypeProteomic profilingTNBC samplesIHC analysisQuantitative IHC analysisCancer typesBreast tissueMalignancyCandidate oncogeneOncogenic functionPD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer
Wimberly H, Brown JR, Schalper K, Haack H, Silver MR, Nixon C, Bossuyt V, Pusztai L, Lannin DR, Rimm DL. PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancer Immunology Research 2015, 3: 326-332. PMID: 25527356, PMCID: PMC4390454, DOI: 10.1158/2326-6066.cir-14-0133.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesPD-L1 expressionPathologic complete responseNeoadjuvant chemotherapyPD-L1Breast cancerDeath 1 ligand 1PD-L1 protein expressionYale-New Haven HospitalHigh PD-L1Antitumor immune activitySubset of patientsTriple-negative patientsBreast cancer patientsTriple-negative statusImmune checkpoint proteinsImmune regulatory moleculesNew Haven HospitalSignificant multivariate modelRabbit monoclonal antibodyTILs correlateComplete responseImmune therapyCancer patientsImmune activity
2014
Quantitative assessment of miR34a as an independent prognostic marker in breast cancer
Agarwal S, Hanna J, Sherman ME, Figueroa J, Rimm DL. Quantitative assessment of miR34a as an independent prognostic marker in breast cancer. British Journal Of Cancer 2014, 112: 61-68. PMID: 25474246, PMCID: PMC4453614, DOI: 10.1038/bjc.2014.573.Peer-Reviewed Original ResearchConceptsDisease-specific survivalBreast cancer cohortPoor disease-specific survivalDisease-specific deathIndependent breast cancer cohortsBreast cancerCancer cohortPoor outcomeCohort 1Multivariate Cox proportional hazards analysisCox proportional hazards analysisNode-positive populationX-tile softwareNode-negative patientsProportional hazards analysisTumor suppressorBreast cancer patientsIndependent prognostic markerExpression of miR34aReceptor statusNode statusPreclinical observationsTumor sizeCancer patientsCohort 2Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time
Vassilakopoulou M, Parisi F, Siddiqui S, England AM, Zarella ER, Anagnostou V, Kluger Y, Hicks DG, Rimm DL, Neumeister VM. Preanalytical variables and phosphoepitope expression in FFPE tissue: quantitative epitope assessment after variable cold ischemic time. Laboratory Investigation 2014, 95: 334-341. PMID: 25418580, DOI: 10.1038/labinvest.2014.139.Peer-Reviewed Original ResearchConceptsCold ischemic timeIschemic timeFormalin fixationCompanion diagnostic testingCancer patientsBreast cancerTissue microarrayPhospho-HSP27Breast tumorsDiagnostic testingQuantitative immunofluorescenceAQUA technologyPreanalytical variablesGene expression profilingLoss of antigenicityTissue samplesReproducible assessmentProtein levelsConfidence intervalsSpecimen collectionExpression levelsPhosphorylation levelsAntigenicityRoutine usageResearch settingsIn Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients
Vassilakopoulou M, Togun T, Dafni U, Cheng H, Bordeaux J, Neumeister VM, Bobos M, Pentheroudakis G, Skarlos DV, Pectasides D, Kotoula V, Fountzilas G, Rimm DL, Psyrri A. In Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients. PLOS ONE 2014, 9: e99131. PMID: 24968015, PMCID: PMC4072595, DOI: 10.1371/journal.pone.0099131.Peer-Reviewed Original ResearchConceptsBreast cancer patientsMetastatic breast cancer patientsFISH HER2Cancer patientsHER2 mRNAPrognostic factorsTrastuzumab-treated metastatic breast cancer patientsMultivariate Cox regression modelECD HER2Log rank pMetastatic breast cancerStrong prognostic factorCox regression modelKaplan-Meier estimatesHER2 mRNA levelsHER2-ICDChemotherapy regimensMetastatic cohortTrastuzumab treatmentBreast cancerTissue microarrayMRNA statusPerformance of markersHER2 receptorPredictive valueMacrophage expression of tartrate-resistant acid phosphatase as a prognostic indicator in colon cancer
How J, Brown JR, Saylor S, Rimm DL. Macrophage expression of tartrate-resistant acid phosphatase as a prognostic indicator in colon cancer. Histochemistry And Cell Biology 2014, 142: 195-204. PMID: 24429833, PMCID: PMC4101067, DOI: 10.1007/s00418-014-1181-6.Peer-Reviewed Original ResearchMeSH KeywordsAcid PhosphataseAdenocarcinomaAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorColonic NeoplasmsFemaleHumansIsoenzymesMacrophagesMaleMiddle AgedReceptors, Cell SurfaceTartrate-Resistant Acid PhosphataseTissue Array AnalysisTreatment OutcomeYoung AdultConceptsColorectal cancer patientsMacrophage expressionResistant acid phosphataseColon cancerCancer patientsTRAP expressionYale-New Haven HospitalDisease-specific deathPan-macrophage markerRisk reductionPrognostic indicatorCancer survivalColorectal adenocarcinomaM2 markersImproved outcomesTissue microarrayImmunohistochemical analysisSecond cohortSurvival analysisPatientsPotential biomarkersQuantitative immunofluorescenceCancerAcid phosphataseOld cases
2013
Prediction of Late Disease Recurrence and Extended Adjuvant Letrozole Benefit by the HOXB13/IL17BR Biomarker
Sgroi DC, Carney E, Zarrella E, Steffel L, Binns SN, Finkelstein DM, Szymonifka J, Bhan AK, Shepherd LE, Zhang Y, Schnabel CA, Erlander MG, Ingle JN, Porter P, Muss HB, Pritchard KI, Tu D, Rimm DL, Goss PE. Prediction of Late Disease Recurrence and Extended Adjuvant Letrozole Benefit by the HOXB13/IL17BR Biomarker. Journal Of The National Cancer Institute 2013, 105: 1036-1042. PMID: 23812955, PMCID: PMC3888138, DOI: 10.1093/jnci/djt146.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsAromatase InhibitorsBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChemotherapy, AdjuvantDisease-Free SurvivalFemaleHomeodomain ProteinsHumansIncidenceLetrozoleLogistic ModelsMiddle AgedMultivariate AnalysisNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingNitrilesPredictive Value of TestsPrognosisProspective StudiesReceptor, ErbB-2Receptors, EstrogenReceptors, InterleukinReceptors, Interleukin-17Receptors, ProgesteroneRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionTriazolesConceptsExtended letrozole therapyStandard clinicopathological factorsLate disease recurrenceLate recurrenceLetrozole therapyEndocrine therapyDisease recurrenceClinicopathological factorsLymph node-negative breast cancer patientsNode-negative breast cancer patientsExtended adjuvant endocrine therapyMultivariable conditional logistic regressionExtended adjuvant letrozolePlacebo-treated patientsAdjuvant endocrine therapyER-positive patientsBreast cancer patientsPositive breast cancerConditional logistic regressionReverse transcription-polymerase chain reactionCase-control designAdjuvant letrozoleLetrozole treatmentAbsolute riskCancer patientsQuantitative Ki-67 score as predictive of response to neoadjuvant chemotherapy in breast cancer.
Brown J, Lannin D, Killelea B, DiGiovanna M, Rimm D. Quantitative Ki-67 score as predictive of response to neoadjuvant chemotherapy in breast cancer. Journal Of Clinical Oncology 2013, 31: 1085-1085. DOI: 10.1200/jco.2013.31.15_suppl.1085.Peer-Reviewed Original ResearchKi-67 expressionPathological complete responseNeoadjuvant chemotherapyKi-67Consecutive invasive breast cancer patientsAQUA scoreInvasive breast cancer patientsAdditional survival benefitBreast cancer patientsKi-67 levelsPre-surgical biopsyKi-67 scoreLikelihood of responseMIB-1 antibodyPrediction of responseNeoadjuvant therapyComplete responseNodal statusSurvival benefitER statusIndependent predictorsMultivariable analysisAdvanced tumorsTumor sizeCancer patientsEffect of PDL-1 expression on prognosis in head and neck squamous cell carcinoma.
Vasilakopoulou M, Velcheti V, Rampias T, Sasaki C, Rimm D, Fountzilas G, Psyrri A. Effect of PDL-1 expression on prognosis in head and neck squamous cell carcinoma. Journal Of Clinical Oncology 2013, 31: 6012-6012. DOI: 10.1200/jco.2013.31.15_suppl.6012.Peer-Reviewed Original ResearchPDL-1 expressionPDL-1Prognostic significanceT cellsMultivariate Cox proportional hazards modelCox proportional hazards modelNeck squamous cell carcinomaDeath-1 receptorFavorable clinical outcomeKaplan-Meier methodInduces tumor regressionSquamous cell carcinomaHNSCC tissue microarrayLog-rank testProportional hazards modelProtein expression levelsImproved DFSEfficacy outcomesImmunotherapeutic approachesClinical outcomesMultivariable analysisEntire cohortCell carcinomaCancer patientsFavorable outcome
2012
Low levels of Stat5a protein in breast cancer are associated with tumor progression and unfavorable clinical outcomes
Peck AR, Witkiewicz AK, Liu C, Klimowicz AC, Stringer GA, Pequignot E, Freydin B, Yang N, Ertel A, Tran TH, Girondo MA, Rosenberg AL, Hooke JA, Kovatich AJ, Shriver CD, Rimm DL, Magliocco AM, Hyslop T, Rui H. Low levels of Stat5a protein in breast cancer are associated with tumor progression and unfavorable clinical outcomes. Breast Cancer Research 2012, 14: r130. PMID: 23036105, PMCID: PMC4053108, DOI: 10.1186/bcr3328.Peer-Reviewed Original ResearchConceptsPoor prognosisBreast cancerClinical outcomesIndependent markerNode-negative breast cancer patientsNode-negative breast cancerLower tumor levelsPrimary breast cancerUnfavorable clinical outcomeBreast cancer patientsClinical outcome dataProtein levelsRandomized clinical trialsPredictors of responseNew independent markerBreast cancer progressionTherapy-naïveFourfold riskCancer patientsTherapy failureTumor levelsArchival cohortUnfavorable outcomeClinical trialsStat5a/b