0000000000136372

AUTHOR

Martin E. Eichhorn

0000-0002-0362-0374

showing 2 related works from this author

Effect of the surface charge of liposomes on their uptake by angiogenic tumor vessels

2003

Recently, cationic liposomes have been shown to preferentially target the angiogenic endothelium of tumors. It was the aim of our study to investigate the influence of liposomal surface charge on the uptake and kinetics of liposomes into solid tumors and tumor vasculature. Experiments were performed in the amelanotic hamster melanoma A-Mel-3 growing in the dorsal skinfold chamber preparation of male Syrian golden hamsters. Fluorescently labeled liposomes with different surface charge were prepared. Accumulation of i.v. injected liposomes was assessed by quantitative intravital fluorescence microscopy of tumor and surrounding host tissue. The histological distribution of liposomes was analyz…

MaleCancer ResearchEndotheliumSurface PropertiesMelanoma ExperimentalBiologyDrug Delivery SystemsCationsCricetinaeTumor Cells CulturedmedicineFluorescence microscopeAnimalsTissue DistributionCationic liposomeLiposomeMesocricetusNeovascularization PathologicExtravasationmedicine.anatomical_structureOncologyInjections IntravenousLiposomesDrug deliveryImmunologyBiophysicsDiffusion Chambers CultureEndothelium VascularDrug carrierBlood vesselInternational Journal of Cancer
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Conventional and semi-automatic histopathological analysis of tumor cell content for multigene sequencing of lung adenocarcinoma

2021

BACKGROUND: Targeted genetic profiling of tissue samples is paramount to detect druggable genetic aberrations in patients with non-squamous non-small cell lung cancer (NSCLC). Accurate upfront estimation of tumor cell content (TCC) is a crucial pre-analytical step for reliable testing and to avoid false-negative results. As of now, TCC is usually estimated on hematoxylin-eosin (H&E) stained tissue sections by a pathologist, a methodology that may be prone to substantial intra- and interobserver variability. Here we the investigate suitability of digital pathology for TCC estimation in a clinical setting by evaluating the concordance between semi-automatic and conventional TCC quantification…

0301 basic medicineOncologymedicine.medical_specialtyConcordanceTumor cellsurologic and male genital diseases03 medical and health sciences0302 clinical medicineInternal medicineMedicineLung cancerneoplasmsLungbusiness.industryMolecular pathologyDigital pathologymedicine.diseasefemale genital diseases and pregnancy complicationsddc:030104 developmental biologymedicine.anatomical_structureOncology030220 oncology & carcinogenesisAdenocarcinomaOriginal ArticleSemi automaticbusiness
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