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This paper describes the evaluation of a colony formation assay using automated image analysis, which permits the tracking of growth at the individual colony level, such that a growth rate can be estimated for each colony followed. In principle, this will permit quantitative characterization of cellular heterogeneity in growth rate and cellular heterogeneity in response to proliferation-modifying agents. In addition, we have demonstrated the possibility of using correlative microscopy to relate growth rate to other parameters, using metabolic viability as an example. This should be useful for determining cellular characteristics associated with proliferative behavior and response to proliferationmodifying agents.Key terms: Proliferation rate, correlative microscopy, tetrazolium dye, growth factors, antiproliferative drugs, drug response, computer simulation, heterogeneityThe presence of variant cells within a population derived from a common ancestor is known as cellular heterogeneity (8,27). This situation represents a significant problem in cancer therapeutics, for example, in that diversely responsive subpopulations within a target tissue may allow for selection of resistant cells during therapy (5). To study cellular heterogeneity directly, it is necessary to have methods that are capable of defining cellular characteristics and behavior a t the level ofthe individual cell. Advances in flow cytometry and image analysis are making such studies increasingly possible.Proliferation is an important cell behavior in cancer research, inasmuch as cancer is primarily a disease of growth control, and anticancer therapies are usually aimed at killing, or otherwise arresting the growth of, malignant cells. Unusual cell proliferation also plays a role in arteriosclerosis (7), and thus is a cell behavior with relevance to more than one significant health problem. Although cytometric systems, such as flow approaches, permit multiple parameter measurements on individual cells virtually instantaneously, such measurements do not permit quantification of cell proliferation.A method commonly used for evaluation of proliferative potential of individual cells is the colony formation assay, wherein immobilized cells are allowed to proliferate, and growth is quantified by enumeration of progeny. Computer-assisted evaluation of colony formation assays has been employed for colony counting (10,141, for total colony volume analysis (29,311, and for histogram analysis of colony sizes (12). These approaches permit assessment of growth kinetics of populations and estimation of growth rate of individual colonies by inference. A manual approach involving colony isolation and cell enumeration has been used to determine numbers of cells in colonies in soft agar (29); a similar approach has been used to describe heterogeneity in growth rate among individual colonies growing on plastic (15). Time-lapse cinematographic approaches (1 1,211 and time-lapse video approaches (6,7) have been used to determine the growth rate of individual cells throu...
This paper describes the evaluation of a colony formation assay using automated image analysis, which permits the tracking of growth at the individual colony level, such that a growth rate can be estimated for each colony followed. In principle, this will permit quantitative characterization of cellular heterogeneity in growth rate and cellular heterogeneity in response to proliferation-modifying agents. In addition, we have demonstrated the possibility of using correlative microscopy to relate growth rate to other parameters, using metabolic viability as an example. This should be useful for determining cellular characteristics associated with proliferative behavior and response to proliferationmodifying agents.Key terms: Proliferation rate, correlative microscopy, tetrazolium dye, growth factors, antiproliferative drugs, drug response, computer simulation, heterogeneityThe presence of variant cells within a population derived from a common ancestor is known as cellular heterogeneity (8,27). This situation represents a significant problem in cancer therapeutics, for example, in that diversely responsive subpopulations within a target tissue may allow for selection of resistant cells during therapy (5). To study cellular heterogeneity directly, it is necessary to have methods that are capable of defining cellular characteristics and behavior a t the level ofthe individual cell. Advances in flow cytometry and image analysis are making such studies increasingly possible.Proliferation is an important cell behavior in cancer research, inasmuch as cancer is primarily a disease of growth control, and anticancer therapies are usually aimed at killing, or otherwise arresting the growth of, malignant cells. Unusual cell proliferation also plays a role in arteriosclerosis (7), and thus is a cell behavior with relevance to more than one significant health problem. Although cytometric systems, such as flow approaches, permit multiple parameter measurements on individual cells virtually instantaneously, such measurements do not permit quantification of cell proliferation.A method commonly used for evaluation of proliferative potential of individual cells is the colony formation assay, wherein immobilized cells are allowed to proliferate, and growth is quantified by enumeration of progeny. Computer-assisted evaluation of colony formation assays has been employed for colony counting (10,141, for total colony volume analysis (29,311, and for histogram analysis of colony sizes (12). These approaches permit assessment of growth kinetics of populations and estimation of growth rate of individual colonies by inference. A manual approach involving colony isolation and cell enumeration has been used to determine numbers of cells in colonies in soft agar (29); a similar approach has been used to describe heterogeneity in growth rate among individual colonies growing on plastic (15). Time-lapse cinematographic approaches (1 1,211 and time-lapse video approaches (6,7) have been used to determine the growth rate of individual cells throu...
Use of the Hamburger-Salmon soft agar assay method for in vitro chemotherapy sensitivity testing of samples of renal cell carcinoma has been somewhat limited by a relatively low proliferation/evaluability rate for this tumor type (approximately 50%). The tritiated thymidine ([ 3H]-TdR) incorporation assay method of Tanigawa et al. (Cancer Res., 42: 2159, 1982) was compared to a standard optical colony counting assay technique. Fifty-seven different primary and five metastatic fresh samples of human renal cell carcinoma were studied. Evaluability rate by the [3H]-TdR assay was 90% (greater than or equal to 300 cpm control). In comparison, evaluability rate by optical colony counting was 43% for this group of tumors. [3H]-TdR incorporation increased with increasing tumor grade and increasing stage. Spindle cell tumors showed significantly higher cpm than other cell types. Twenty-three primary tumors were evaluable by both [3H]-TdR and colony counting methods. The correlation coefficient ("r") for regression lines for drug sensitivity data points (optical counting vs. [3H]-TdR) of these individual experiments ranged from 0.50 to 0.99 with a mean r +/- S.D. of 0.76 +/- 0.15. For all 260 paired drug response observations of 23 tumors exposed to different drugs, the correlation was very good with r = 0.71. Since the [3H]-TdR assay has an evaluability rate of approximately 90% for renal cell carcinoma, gives drug sensitivity information which correlates well with the colony counting endpoint and yields chemotherapy sensitivity information four days after sample accession, the [3H]-TdR assay may be a more useful method for study of human renal cell carcinoma in vitro chemotherapy sensitivity testing than standard colony counting techniques.
We studied an antiproliferative effect of cancer chemotherapeutic agents, interferon (IFN) and, in particular, their combination effect on renal cell carcinoma. Either of colony formation assay (CFA) or [3H]-thymidine incorporation assay ([3H]-TdR assay) was employed as an in vitro chemosensitivity testing system. When compared, these two systems produced similar results with a good correlation (r = 0.97, p less than 0.01), in the antiproliferative effect of 30 drugs for 4 primary renal cell carcinomas and 5 xenotransplantable renal cell carcinomas. In vitro chemosensitivity test (CFA or [3H]-TdR assay) screened successfully only 5 "sensitive" drugs (7.9%) out of a total 63 cancer chemotherapeutic agents for 24 human renal cell carcinoma. This confirmed the findings reported by others. In the study of the antiproliferative effect of a cancer chemotherapeutic agent, human lymphoblastoid interferon (HLBI) and their combination on human renal cel carcinoma cell line (SMK-R2). Each of VBL, MTX or HLBI tended to suppress [3H]-TdR uptake in a dose-dependent manner. The combination of VBL (0.05 microgram/ml) and HLBI (10(2) or 10(3) IU/ml) produced a subadditive effect, and that of MTX (0.1 microgram/ml) and HLBI 10(2) IU/ml produced a synergistic effect on the human renal cell carcinoma cell line, the effect which is evaluated by Valeriote and Lin's criteria of combination. In particular, the synergistic effect by MTX and HLBI under the clinically achievable drug concentration seems important, when its clinical application is considered.
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