2021
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
Farahmand S, Fernandez AI, Ahmed FS, Rimm DL, Chuang JH, Reisenbichler E, Zarringhalam K. Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer. Modern Pathology 2021, 35: 44-51. PMID: 34493825, PMCID: PMC10221954, DOI: 10.1038/s41379-021-00911-w.Peer-Reviewed Original ResearchConceptsHER2 statusBreast cancerTreatment responseHER2-positive breast cancerAnti-HER2 agentsPre-treatment samplesNeoadjuvant chemotherapyTrastuzumab therapyClinical outcomesClinical evaluationProtein immunohistochemistryHER2 amplificationTrastuzumab responseTumor stainTreatment selectionTCGA testPathology teamTumor regionCancer featuresCancerPatientsHER2Current standardImmunohistochemistryHematoxylin
2007
Melanophages reside in hypermelanotic, aberrantly glycosylated tumor areas and predict improved outcome in primary cutaneous malignant melanoma
Handerson T, Berger A, Harigopol M, Rimm D, Nishigori C, Ueda M, Miyoshi E, Taniguchi N, Pawelek J. Melanophages reside in hypermelanotic, aberrantly glycosylated tumor areas and predict improved outcome in primary cutaneous malignant melanoma. Journal Of Cutaneous Pathology 2007, 34: 679-686. PMID: 17696914, DOI: 10.1111/j.1600-0560.2006.00681.x.Peer-Reviewed Original ResearchConceptsCutaneous malignant melanomaPrimary cutaneous malignant melanomaImproved outcomesMalignant melanomaMelanoma cellsAnti-tumor roleMelanoma tissue microarrayFollow-upWorse outcomesPatient outcomesPoor survivalTissue microarrayBetter outcomesMyeloid cellsImmune systemMelanophagesTumor areaMelanomaCancer cellsMelanoma biologyOutcomesAberrant glycosylationCell typesCellsTumor region