2018
Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens
Rawat RR, Ruderman D, Macklin P, Rimm DL, Agus DB. Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens. Npj Breast Cancer 2018, 4: 32. PMID: 30211313, PMCID: PMC6123433, DOI: 10.1038/s41523-018-0084-4.Peer-Reviewed Original ResearchEstrogen receptor statusInvasive ductal carcinomaER statusEstrogen receptorReceptor statusPercent of cellsHormonal therapyDuctal carcinomaImmunohistochemistry stainingHistology patternPathway statusPatient samplesPathway activationPilot studyNuclear featuresDeep neural networksTissue coresNeural networkReceptorsFuture studiesStatusTissue morphologyBiological featuresDeep learning approachCarcinoma
2014
The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014
Salgado R, Denkert C, Demaria S, Sirtaine N, Klauschen F, Pruneri G, Wienert S, Van den Eynden G, Baehner FL, Penault-Llorca F, Perez EA, Thompson EA, Symmans WF, Richardson AL, Brock J, Criscitiello C, Bailey H, Ignatiadis M, Floris G, Sparano J, Kos Z, Nielsen T, Rimm DL, Allison KH, Reis-Filho JS, Loibl S, Sotiriou C, Viale G, Badve S, Adams S, Willard-Gallo K, Loi S. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014. Annals Of Oncology 2014, 26: 259-271. PMID: 25214542, PMCID: PMC6267863, DOI: 10.1093/annonc/mdu450.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesBreast cancerInternational TILs Working Group 2014Human epidermal growth factor receptor 2Epidermal growth factor receptor 2Growth factor receptor 2Evaluation of hematoxylinFactor receptor 2Immunological biomarkersLymphocytic infiltrationClinical trialsReceptor 2Clinical relevanceClinical validityTumor sectionsPredictive valueTumor tissueStandardized methodologyHistopathological practiceMorphological evaluationLymphocytesCancerCurrent dataFuture studiesVisual assessment
2008
Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation
Emerson JW, Dolled-Filhart M, Harris L, Rimm DL, Tuck DP. Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation. Cancer Informatics 2008, 7: cin.s911. PMID: 19352457, PMCID: PMC2664700, DOI: 10.4137/cin.s911.Peer-Reviewed Original ResearchLymph node statusProtein expression levelsNode statusBreast cancerBaseline clinical modelCohort of patientsLack of tumorTissue microarray studyLarge independent cohortsExpression levelsMultiple imputationPatient survivalTraining cohortTissue biomarkersIndependent cohortClinical modelSelect markersCohortSimilar improvementsBiomarker analysisCancerClinical annotationProtein markersBiomarkersFuture studies