2024
The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?
Vidal J, Tsiknakis N, Staaf J, Bosch A, Ehinger A, Nimeus E, Salgado R, Bai Y, Rimm D, Hartman J, Acs B. The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably? EClinicalMedicine 2024, 78: 102928. DOI: 10.1016/j.eclinm.2024.102928.Peer-Reviewed Original ResearchTriple-negative breast cancerTumor-infiltrating lymphocytesBreast Cancer Research FoundationPrognostic validityMetastatic triple-negative breast cancerDisease-free survival endpointsHazard ratioHost anti-tumor immunityScored tumor infiltrating lymphocytesTumor-infiltrating lymphocyte scoresTriple-negative breast cancer patientsYears median follow-upTumour-infiltrating lymphocyte assessmentAnti-tumor immunityMedian follow-upIndependent prospective cohortTNBC tumorsPrognostic potentialProspective cohortBreast cancerPrognostic performanceAnalytic cohortFollow-upSchool of MedicineSwedish Society for Medical Research
2021
Characterization of the tumor immune microenvironment of triple-negative breast cancer (TNBC) patients who self-identify as African American (AA) or non-African American (NonAA).
Blenman K, Marczyk M, Qing T, O'Meara T, Yaghoobi V, Pelekanou V, Bai Y, Reisenbichler E, Li X, Gunasekharan V, Ibrahim E, Rimm D, Pusztai L, Cole K. Characterization of the tumor immune microenvironment of triple-negative breast cancer (TNBC) patients who self-identify as African American (AA) or non-African American (NonAA). Journal Of Clinical Oncology 2021, 39: 564-564. DOI: 10.1200/jco.2021.39.15_suppl.564.Peer-Reviewed Original ResearchTriple-negative breast cancerTumor immune microenvironmentAA patientsImmune microenvironmentWhole-exome sequencingAfrican AmericansTriple-negative breast cancer patientsYale Cancer CenterImmune checkpoint inhibitorsPD-L1 positivityPD-L1 expressionYear of diagnosisBreast cancer patientsCytokines/chemokinesImmune cell compositionTumor mutational burdenGermline whole-exome sequencingAge of diagnosisNegative breast cancerCorresponding clinical dataAllograft rejection pathwayNon-African AmericansSomatic mutationsFatty acid metabolismCheckpoint inhibitors
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 function