Membrane potential differences between adriamycin-sensitive and -resistant cells as measured by flow cytometry.

Using the fluorescent membrane potential probe, 3,3'-dihexyl-oxacarbocyanine (DiOC6(3], we found a 4-fold higher uptake in Adriamycin (ADM)-sensitive versus -resistant Friend leukemia cells (FLC). When sensitive cells were treated in the presence of high potassium (120 mM K+), there was a greater than 80% reduction of DiOC6(3) uptake. Using carbonylcyanide 4-trifluoromethoxy-phenylhydrazone (FCCP), a specific inhibitor of mitochondrial membrane potential, DiOC6(3) accumulation was reduced by less than 30% in these cells. Both results support the conclusion that a greater uptake of DiOC6(3) in ADM-sensitive than in -resistant cells indicates an increased plasma transmembrane potential. Since electronegative plasma membrane potentials are a driving force for the transport of lipophilic positively-charged compounds, differences in membrane potentials between sensitive and multiple drug resistant (MDR) tumor cells could have an important influence on drug accumulation and cytotoxicity. The drugs which our ADM-resistant FLC display multiple drug resistance to are positively charged. In MDR FLC, the calcium channel antagonist, verapamil, has been shown to block the efflux of Rhodamine 123 (Rho 123) and other positively-charged compounds. Since DiOC6(3) is also positively-charged, we used verapamil to investigate its effects on drug uptake. In MDR FLC, verapamil increased DiOC6(3) accumulation by 1.9-fold, whereas in sensitive cells it was increased 1.5-fold. In contrast, verapamil increased the levels of Rho 123 in resistant cells 7.8-fold but lowered them in sensitive cells 1.5-fold. The minimal loss of DiOC6(3) from both sensitive and MDR cells and the above results can best be interpreted as indicating that DiOC6(3) is not transported by the efflux "pump" system but that verapamil induces a plasma membrane potential increase in sensitive and resistant cells that DiOC6(3) is sensitive to. On the other hand, since Rho 123 did appear to be actively effluxed from these resistant cells, the enhancement of this compound by verapamil was more likely due to inhibition of the MDR "pump." How, or whether, plasma membrane potentials and the MDR efflux "pump" are related remains to be investigated. In the resistant cells, verapamil also induced an increase (13-fold) in the accumulation of the electrically neutral fluorescent probe for calcium, INDO-1/AM. However, verapamil had no effect on the efflux of this compound, which was equivalent in both resistant and sensitive cells. Thus, a new effect of verapamil on drug accumulation in MDR cells is identified here.

Relevance of the chemical charge of rhodamine dyes to multiple drug resistance.

Previously, we have shown that multiple drug resistant (MDR) Friend leukemia cells (FLC) are cross-resistant to the positively-charged dye, Rhodamine 123 (Rho 123), and that this resistance can be reversed by verapamil (VER). In the present study we used two zwitterionic rhodamine analogs, Rhodamine 116 and Rhodamine 110, and another positively-charged analog, Rhodamine 6G, to determine whether drug accumulation, resistance and modulation were affected by changes in the charge of these compounds. While there was no differential sensitivity between sensitive and resistant FLC to zwitterionic rhodamines, there was marked differential toxicity between these cell types for the positively-charged analogs. The IC50 values were 1000- and 100-fold greater in resistant than in sensitive cells for Rho 123 and Rho 6G respectively. Intracellular drug accumulation was significantly higher in sensitive as compared to resistant cells for both Rho 123 and Rho 6G, but little difference in drug uptake between these two cell types was observed for Rho 110 and Rho 116. It was also found that the intracellular to extracellular ratio of the positively-charged compounds was greater than unity in both sensitive and resistant cells whereas for the zwitterionic analogs this ratio was less than 1. Furthermore, this ratio of drug uptake was found to be significantly higher for Rho 6G than for Rho 123, which correlated with the high oil:water partition coefficient of Rho 6G (115.6). In MDR cells, verapamil increased Rho 123 and Rho 6G accumulation by 9.4- and 8.6-fold respectively. In addition, IC50 values in resistant cells were reduced greater than 100-fold for Rho 6G and greater than 1000-fold for Rho 123 in the presence of 10 micrograms/ml of verapamil. In contrast, less than 2-fold reduction of IC50 values for both of the zwitterionic analogs could be obtained under the same conditions. These results indicate that the chemical charge of rhodamines plays an important role in their differential accumulation, cytotoxicity and sensitivity to modulators such as verapamil, in sensitive and multi-drug resistant cells. The data also suggest that increased lipophilicity of the positively-charged rhodamines may increase their ability to accumulate in, and subsequently kill, MDR cells.

Automated classification of patients with chronic lymphocytic leukemia and immunocytoma from flow cytometric three-color immunophenotypes.

The goal of this study was the discrimination between chronic lymphocytic leukemia (B-CLL), clinically more aggressive lymphoplasmocytoid immunocytoma (LP-IC) and other low-grade non-Hodgkin's lymphomas (NHL) of the B-cell type by automated analysis of flow cytometric immunophenotypes CD45/14/20, CD4/8/3, kappa/CD19/5, lambda/CD19/5 and CD10/23/19 from peripheral blood and bone marrow aspirate leukocytes using the multiparameter classification program CLASSIF1. The immunophenotype list mode files were exhaustively evaluated by combined lymphocyte, monocyte, and granulocyte (LMG) analysis. The results were introduced into databases and automatically classified in a standardized way. The resulting triple matrix classifiers are laboratory and instrument independent, error tolerant, and robust in the classification of unknown test samples. Practically 100% correct individual patient classification was achievable, and most manually unclassifiable patients were unambiguously classified. It is of interest that the single lambda/CD19/5 antibody triplet provided practically the same information as the full set of the five antibody triplets. This demonstrates that standardized classification can be used to optimize immunophenotype panels. On-line classification of test samples is accessible on the Internet: http://www.biochem.mpg.de/valet/leukaem1.html Immunophenotype panels are usually devised for the detection of the frequency of abnormal cell populations. As shown by computer classification, most the highly discriminant information is, however, not contained in percentage frequency values of cell populations, but rather in total antibody binding, antibody binding ratios, and relative antibody surface density parameters of various lymphocyte, monocyte, and granulocyte cell populations.

Prognostic estimation of survival of colorectal cancer patients with the quantitative histochemical assay of G6PDH activity and the multiparameter classification program CLASSIF1.

Prognosis of colorectal cancer patients that show similar histopathology may vary substantially. An attempt was made to improve prognosis by the self-learning classification program CLASSIF1, based on automated multiparameter analysis of quantitative histochemical and clinical parameters of 64 colorectal carcinomas and adjacent normal mucosae. The histochemical parameters applied were the oxygen-insensitivity assay of glucose-6-phosphate dehydrogenase (G6PDH) activity, a valid discriminator between normal and cancerous mucosae, and related parameters CuZn- and Mn-superoxide dismutase (SOD) levels, and lipid peroxidation (LPO) capacity. Data were processed on the basis of a postoperative follow-up of minimally 32 and maximally 56 months. CLASSIF1 selected the parameters oxygen insensitivity of G6PDH activity, CuZn-SOD and Mn-SOD levels, LPO capacity, lymph node metastasis, Dukes' stage, and age for the highest prognostic value. On the basis of these selected parameters, CLASSIF1 correctly predicted favorable outcome in 100% of the surviving patients and fatal outcome in 64% of the deceased patients. G6PDH activity appeared to be the major information carrier for CLASSIF1. On the basis of G6PDH activity parameters alone, 96% of the surviving patients and 55% of the deceased patients were correctly classified. In comparison, estimation of prognosis on the basis of Dukes' stage alone resulted in 71% correctly classified surviving patients and 61% of patients who died. It is concluded that the self-learning classification program CLASSIF1, on the basis of quantitative histochemical and clinical parameters, is the best prognostic estimator for colon cancer patients yet available.