Cell heterogeneity and subpopulations in solid tumors characterized by simultaneous immunophenotyping and DNA content analysis
Autor: | M. Baumann, Andreas Schuck, Normann Willich, Stefan Könemann, Kirsten Horn, Thomas Rupek, Johann Malath, C. Rübe, J. Vormoor |
---|---|
Rok vydání: | 2000 |
Předmět: |
Cell
Biophysics Mice Nude Biology Immunophenotyping Pathology and Forensic Medicine Flow cytometry Mice chemistry.chemical_compound Endocrinology Antigen Neoplasms Biomarkers Tumor medicine Animals Humans Neoplasm Metastasis Fluorescent Dyes medicine.diagnostic_test DNA Neoplasm Cell Biology Hematology Flow Cytometry Molecular biology medicine.anatomical_structure DNA profiling chemistry Dactinomycin biology.protein Antibody Cytometry DNA |
Zdroj: | Cytometry. 41:172-177 |
ISSN: | 1097-0320 0196-4763 |
Popis: | Background Heterogeneity in human malignant tumors is a well-described phenomenon and of interest with regard to subpopulations with differences in clonality, metastatic potential, and response to therapy under different treatment regimes. The aim of this study was the simultaneous characterization of surface markers and DNA content of solid tumors to identify tumor cell subpopulations and to study the association between the expression of antigens and DNA content. Methods In the present study, six different malignant tumors grown as xenografts in nude mice were characterized by five-parameter flow cytometry. Immunophenotyping was performed using a variety of direct fluorescence-conjugated antibodies. In all cases, simultaneous detection of DNA content was done after staining with 7-aminoactinomycin D. Results Tumor cells were characterized by light scatter properties, antigen expression, and DNA content. Tumor cell heterogeneity, subpopulations, and DNA content-dependent antigen expression were identified. Conclusions This method offers the possibility of characterizing solid tumors according to their immunophenotype and DNA content. The results obtained can be used to identify changes in immunophenotypic and DNA profiles of tumor cell populations before and after therapy and might be useful to define parameters predictive for response to therapy. Cytometry 41:172–177, 2000 © 2000 Wiley-Liss, Inc. |
Databáze: | OpenAIRE |
Externí odkaz: |