Rapid assay for cell age response to radiation by electronic volume flow cell sorting

A new technique is described for measuring cell survival as a function of cell cycle position using flow cytometric cell sorting on the basis of electronic volume signals. The sorting of cells into different cell age compartments is demonstrated for three different cell lines commonly used in radiobiological research. Using flow cytometric DNA content analysis and [3H]thymidine autoradiography of the sorted cell populations, we demonstrate that the resolution of the age compartment separation is as good as or better than that reported for other cell synchronizing techniques. The variation in cell survival as a function of position in the cell cycle after a single dose of radiation as measured by volume cell sorting is similar to that determined by other cell synchrony techniques. This new method has several advantages, including: no treatment of the cells is required, thus, this method is noncytotoxic; no cell cycle progression is needed to obtain different cell age compartments; the cell population can be held in complete growth medium at any desired temperature during sorting; and a complete radiation age-response assay can be plated in 2 h. The application of this method to problems in radiobiology and chemotherapy is discussed, along with some of the technical limitations.     

AN EXTENDED TRANSITION PROBABILITY MODEL OF THE VARIABILITY OF CELL GENERATION TIMES

The transition probability model of variability of cell generation times is extended so that the rate constant for the transition from the A-state to the B-phase of the cell cycle depends on time which a particular cell has already spent in the A-state. A specific time dependence of this rate constant is introduced. It is determined by the value of one constant which is then an additional parameter of the model. The corresponding cell population kinetics are calculated and compared to existing experimental evidence. The model accounts satisfactorily for the generation time distribution function and for the shortening of the G₁ phase of binucleate cells. The time dependence of the transition probability is related to the cell kinetics of an hypothetical cell constituent. A possible relationship is proposed between the chemical parameters within the cell and the parameters of the cell population kinetics.     

Survivin antiapoptotic gene expression as a prognostic factor in non-small cell lung cancer: in situ hybridization study

Survivin is an inhibitor of apoptosis that plays a significant role in cell cycle regulation and is important for survival prognosis in many neoplasms. Survivin expression was assessed by in situ hybridization (ISH) in 60 consecutive patients (54 males and 4 females) with NSCLC treated between 1993 and 1997. The examined patients had IIB and IIIA stage according to TNM system. In all cases the chemotherapy with cisplatin and etoposide (2 cycles) was administered prior the surgery; in patients responding to the therapy one more cycle was applied. Survivin gene overexpression was observed in 35 patients (58.3%). There was no correlation between survivin mRNA level and histological type of tumor, stage of cell differentiation, stage of disease according to TNM classification, performance status according to WHO and number of chemotherapy regimens administered (p > 0.05). However, the correlation between survivin gene expression and response to the chemotherapy was statistically significant (p = 0.04). Statistical analysis showed that median survival in patients with survivin gene overexpression was shorter (14.0 months) as compared to patients with no expression (60.0 months; p = 0.00002). In survival assessment by means of Kaplan-Meier test, 14.3% of five-year survival was achieved in the former group versus 60% in the latter (p = 0.00003). Univariate analysis (log-rank test) showed that significant independent prognostic factors in NSCLC included: stage of the disease according to TNM classification (p = 0.006), response to chemotherapy (p = 0.005) and pattern of survivin gene expression (p = 0.00003). Multivariate analysis utilizing Cox's model showed that for survival assessment the stage according to TNM, response to the chemotherapy and survivin expression estimated by means of ISH are of statistical significance (p=0.00001). The calculated predictive values showed that ISH technique was quite accurate in assessment of five-year survival. Our data show that survivin expression may be used as a prognostic factor and a target for therapy.     

MyD88 predicts chemoresistance to paclitaxel in epithelial ovarian cancer

Introduction: Early identification of chemoresistance in patients with ovarian cancer is of utmost importance in order to provide them with the most appropriate therapy. Recently, we described the expression of MyD88 in ovarian cancer cells that were resistant to the cytotoxic agent paclitaxel. In addition to chemoresistance, in MyD88 positive ovarian cancer cells, paclitaxel stimulates growth and production of proinflammatory cytokines. The objective of this study was to determine the correlation of MyD88 expression in primary and recurrent epithelial ovarian cancers with the response to carboplatin and paclitaxel combination chemotherapy. Methods: Tumors are heterogeneous structures that contain different cell populations, thus rendering the identification of specific tumor markers difficult. Using laser capture microdissection, pure cancer cells were isolated from ovarian malignant tumors that were obtained from 20 patients at the time of surgery. The microdissected cells were evaluated for the expression of MyD88, FasL, and XIAP by western blot analysis. Results: Protein expression was observed in samples containing as low as 500 cells. The results were correlated with the clinical course of those patients. It was evident that MyD88 expression in ovarian cancer cells accurately predicts a poor response to paclitaxel chemotherapy as shown by a short progression-free interval and overall survival. Conclusion: We describe for the first time a molecular approach to identify paclitaxel chemoresistance. Toxicity from agents without therapeutic benefit can be avoided by identifying those patients who will not respond to a specific agent. Molecular markers will enable us to design individualized treatments and improve overall survival.     

CELL KILLING BY ACTINOMYCIN D IN RELATION TO THE GROWTH CYCLE OF CHINESE HAMSTER CELLS

Using Chinese hamster cells in culture, we have measured the effectiveness of actinomycin D to suppress division as a function of the position, or age, of a cell in its growth cycle. Cells were first exposed to millimolar concentrations of hydroxyurea in order to produce a synchronized population just before the onset of DNA synthesis. Thereafter, the survival response after 30 min exposures to actinomycin D was measured. Cells become resistant as they enter the S phase and then sensitive again in the latter part of S. When they reach G₂ (or G₂-mitosis) they are maximally resistant; at 1.0 µg/ml, for example, the survival in G₂ is 30-fold greater than it is in G₁. These results, plus measurements reported earlier on the interaction of damage in S cells due to actinomycin D and X-irradiation, suggest that the age-response pattern of the toxic effects of this drug probably reflects both the functional capacity of DNA-actinomycin complexes and the ability of this antibiotic to penetrate chromatin and bind to DNA.     

FURTHER OBSERVATIONS ON THE OCCURRENCE OF NEXUSES IN BENIGN AND MALIGNANT HUMAN CERVICAL EPITHELIUM

An estimate is made of the frequency of occurrence of nexuses ("gap junctions") in a spectrum of human cervical epithelia, ranging from normal to malignant, since a deficiency of nexuses may be important in abnormal cell-to-cell communication in malignant tissues. The normal cervical epithelium has approximately ten nexuses per cell in the basal layer of proliferating cells and 200 nexuses per cell in the more differentiated intermediate zone. Nexuses are rare between invasive malignant epithelial cells (carcinoma cells). In many areas of cell proliferation near the edge of the tumor mass, fewer than one nexus per cell is present. However, up to four nexuses per cell can be found in some well differentiated regions of invasive carcinoma. Preinvasive malignant epithelia (severe dysplasia and carcinoma-in situ) have as few nexuses as invasive carcinoma. In abnormal but benign epithelia (squamous metaplasia and mild dysplasia), nexuses are abundant. The data indicate that a decrease in number of nexuses correlates with the severity of the morphological alteration in the dysplastic epithelium. Also the deficiency of nexuses in groups of carcinoma cells can occur many cell generations before the development of invasion of the malignant epithelium into the connective tissue. The diminution of nexuses before invasion suggests that a deficiency of nexuses may be one of the important factors in eventually permitting the development of the diffusely infiltrating type of invasion which is characteristic of highly malignant tumors such as squamous carcinomas.     

THE DISCRETE–TIME KINETIC MODEL ANALYSIS OF DNA CONTENT DISTRIBUTIONS IN EXPERIMENTAL TUMOUR CELLS

A method was developed to analyse and characterize FMF measurements of DNA content distribution, utilizing the discrete time kinetic (DTK) model for cell kinetics analysis. The DTK model determines the time sequence of the cell age distribution during the proliferation of a tumor cell population and simulates the distribution pattern of the DNA content of cells in each age compartment of the cell cycle. The cells in one age compartment are distributed and spread into several compartments of the DNA content distribution to allow for different rates of DNA synthesis and instrument dispersion effects. It is assumed that the DNA content of cells in each age compartment has a Gaussian distribution. Thus, for a given cell age distribution the DNA content distribution depends on two parameters of the cells in each age compartment: the average DNA content and its coefficient of variation. As the DTK model generates the best fit DNA content distribution to the FMF measurement data, it enables one to estimate specific values of these two parameters in each stage of the cell cycle and to determine the fraction of cells in each cycle phase. The method was utilized to fit FMF measurements of DNA content distributions and to analyse their relationship to the cell kinetic parameters, namely cell loss rate, cell cycle times and growth fraction of exponentially growing Chinese hamster ovary cells in vitro and, also, with a wide range of coefficients of variation, of the L1210 ascites tumour during the growth period.     

ORIENTATION OF THE PLANE OF CELL DIVISION IN FERN GAMETOPHYTES: THE ROLES OF CELL SHAPE AND STRESS

Apical cells of Onoclea sensibilis L. protonemata were measured to determine areas of new walls which were formed during both transverse and longitudinal cell division. Actual wall areas were compared with calculated areas of hypothetical walls oriented in the opposite sense (i.e., an actual transverse wall compared with a hypothetical longitudinal wall, and the reverse). Among 87 out of 90 cells which were analyzed the actual walls had the least area. Thus, the minimal area hypothesis of cell partitioning accurately predicts wall orientation in this instance, although it appears, on other grounds, that the hypothesis does not furnish a plausible mechanism for wall orientation. The application of Lintilhac's concept of the orientation of cell walls in response to anisotropic stresses in the cell was explored. Photographs of apical cells during deplasmolysis indicated that unequal stresses might be generated in apical cells as a result of the osmotic distension of the elastic protoplast. It is concluded that the primary factor which determines the plane of cell division in the apical cell, and the transition from one- to two-dimensional growth, is the local pattern of stress which exists at the position of the nucleus at the time of onset of cell division and wall formation. Calculations of some geometrical properties of idealized model cells are interpreted to mean that the accuracy of the minimal area hypothesis results from a coincidence of its predictions with predictions of Lintilhac's hypothesis, and no causal significance is attributed to wall areas.     

甜菊叶片细胞微体晶体立体构型研究

本文综合应用超薄切片、样品倾斜观察、连续切片叠加重组等技术,研究了甜菊叶片及其组培细胞微体晶体的立体结构,以及晶体立体结构与功能的关系.实验结果表明,甜菊微体晶体为立方体形的晶格结构,推测是由过氧化氢酶和乙醇酸氧化酶纵横交错排列而成规则的岩盐结构型立方体.此构型与细胞内活跃的糖代谢活动及甜菊糖苷的形成有关.     

Oxygen enhancement ratio as a function of dose and cell cycle phase for radiation-resistant and sensitive CHO cells

There is still controversy over whether the oxygen enhancement ratio (OER) varies as a function of dose and cell cycle phase. In the present study, the OER has been measured as a function of survival level and cell cycle phase using volume flow cell sorting. This method allows both the separation of cells in different stages of the cycle from an asynchronously growing population, and the precise plating of cells for accurate measurements at high survival levels. We have developed a cell suspension gassing and sampling system which maintained an oxygen tension less than 20 ppm throughout a series of sequential radiation doses. For both radiation-resistant cells (CHO-K1) and a radiation-sensitive clone (CHO-xrs6), we could separate relatively pure populations of G1-phase, G1/S-boundary, S-, and G2-phase cells. Each cell line showed a typical age response, with cells at the G1/S-phase boundary being 4 (CHO-K1) to 12 (CHO-xrs6) times more sensitive than cells in the late S phase. For both cell lines, G1-phase cells had an OER of 2.3-2.4, compared to an OER of 2.8-2.9 for S-phase and 2.6-2.7 for G2-phase cells. None of these age fractions showed a dependence of OER on survival level. Asynchronously growing cells or cells at the G1/S-phase boundary had an OER similar to that of G1-phase cells at high survival levels, but the OER increased with decreasing survival level to a value near that of S-phase cells. These results suggest that the decrease in OER at high survival levels for asynchronous cells may be due to differences in the OERs of the inherent cell age subpopulations. For cells in one cell cycle stage, oxygen appears to have a purely dose-modifying effect.     

Sequential immune escape and shifting of T cell responses in a long-term survivor of melanoma

Immune-mediated control of tumors may occur, in part, through lysis of malignant cells by CD8(+) T cells that recognize specific Ag-HLA class I complexes. However, tumor cell populations may escape T cell responses by immune editing, by preventing formation of those Ag-HLA complexes. It remains unclear whether the human immune system can respond to immune editing and recognize newly arising escape variants. We report an example of shifting immune responses to escape variants in a patient with sequential metastases of melanoma and long-term survival after surgery alone. Tumor cells in the first metastasis escaped immune recognition via selective loss of an HLA haplotype (HLA-A11, -B44, and -Cw17), but maintained expression of HLA-A2. In the second metastasis, immune escape from an immunodominant MART-1-specific T cell response was mediated by HLA class I down-regulation, resulting in a failure to present this epitope, but persistent presentation of a tyrosinase-derived epitope. Consequent to this modification in tumor Ag presentation, the dominant CTL response shifted principally toward a tyrosinase-targeted response, even though tyrosinase-specific CTL had been undetectable during the initial metastatic event. Thus, in response to immune editing of tumor cells, a patient's spontaneous T cell response adapted, gaining the ability to recognize and to lyse "edited" tumor targets. The observation of both immune editing and immune adaptation in a patient with long-term survival after surgery alone demonstrates an example of immune system reactivity to counteract the escape mechanism(s) developed by tumor cells, which may contribute to the clinical outcome of malignant disease.     

甜菊叶片细胞微体晶体立体构型研究

本文综合应用超薄切片、样品倾斜观察、连续切片叠加重组等技术,研究了甜菊叶片及其组培细胞微体晶体的立体结构,以及晶体立体结构与功能的关系.实验结果表明,甜菊微体晶体为立方体形的晶格结构,推测是由过氧化氢酶和乙醇酸氧化酶纵横交错排列而成规则的岩盐结构型立方体.此构型与细胞内活跃的糖代谢活动及甜菊糖苷的形成有关.     

MULTIPLE HIV-1 INFECTION OF CELLS AND THE EVOLUTIONARY DYNAMICS OF CYTOTOXIC T LYMPHOCYTE ESCAPE MUTANTS

Cytotoxic T lymphocytes (CTL) are an important branch of the immune system, killing virus-infected cells. Many viruses can mutate so that infected cells are not killed by CTL anymore. This escape can contribute to virus persistence and disease. A prominent example is HIV-1. The evolutionary dynamics of CTL escape mutants in vivo have been studied experimentally and mathematically, assuming that a cell can only be infected with one HIV particle at a time. However, according to data, multiple virus particles frequently infect the same cell, a process called coinfection. Here, we study the evolutionary dynamics of CTL escape mutants in the context of coinfection. A mathematical model suggests that an intermediate strength of the CTL response against the wild-type is most detrimental for an escape mutant, minimizing overall virus load and even leading to its extinction. A weaker or, paradoxically, stronger CTL response against the wild-type both lead to the persistence of the escape mutant and higher virus load. It is hypothesized that an intermediate strength of the CTL response, and thus the suboptimal virus suppression observed in HIV-1 infection, might be adaptive to minimize the impact of existing CTL escape mutants on overall virus load.     

Therapy of multiple myeloma

Multiple myeloma (MM) is a haematological malignancy characterised by the clonal expansion of malignant plasma cells within the bone marrow. It accounts for 10% of all haematological malignant diseases and 1% of all malignancies. The median age of patients at the time of the diagnosis is 70 years. The characteristic clinical features of MM are bone marrow failure, susceptibility to infections, bone pain, pathological bone fractures, hypercalcaemia, and renal failure. Though MM is currently incurable, the important progress in chemotherapy has resulted in an improvement in survival from a median of 7 months in the 1950-ies to about 3 years today. Advances in the diagnosis and in supportive treatment of infections, hypercalcaemia, and renal failure also contributed to the prolongation of survival. For decades, the gold standard of treatment had been oral melphalan alone or in combination with prednisolone. Combination chemotherapy has not improved overall survival (OS), but these regimens have led to the prolongation of event-free survival (EFS) and also to a better quality of life. High-dose chemotherapy with haemopoietic stem cell rescue resulted in a great improvement in EFS as well as OS. For those very few who have an HLA-compatible donor and are under 55, allogeneic bone marrow transplantation offers the best hope of survival but comes at a greatly increased risk of toxicity. There are conflicting data in the literature concerning the role of interferon-alpha; it seems to be able to prolong the duration of the plateau phase. Current treatment is moving towards an approach using sequential therapy. This involves induction therapy proceeding to high-dose chemotherapy with some form of stem-cell rescue. Bisphosphonates reduce hypercalcaemia, bone pain and can inhibit bone destruction. They also possess a direct antitumor activity. The better understanding of the pathomechanism of the disease gives the opportunity of the application of new therapeutic modalities such as antagonising the effect of interleukin-6 (IL-6), or idiotypic vaccination.     

State-vector models of the cell cycle 1. Parametrization and fits to labeled mitoses data

In this paper we study the Hahn model of the cell cycle from the point of view that a cell population's age distribution is more relevant to labeled mitoses data than is the distribution of its transit times.Closed-form relationships are derived between the transition probabilities of the Hahn model and the transit time of the mean of a cohort of labeled cells (with the variance of their transit time through mitosis). Constraints result which define the acceptable values for the number of ages in the state vector and the length of the time step (rarely does the dimension of the state vector equal the number of time steps in the generation time).A generalization to distinct probabilities for G₁, S and G₂M is presented, and the automatic fitting of fraction-labeled mitoses (FLM) data is described. The doubling time of the population is used to define the daughter factor, via the largest eigenvalue of the state transition matrix. The performance of the generalized Hahn model is compared to that of other commonly used fitting methods using two sets of FLM data from the literature. The synthesis of continuous labeling curves is discussed as an independent check of the parametrization. Based on the stable age distribution resulting from fits to experimental FLM data, it is shown that a nonlinear relationship exists between biological age and time.     

Mathematical Model For Human Myeloma Relating Growth Kinetics and Drug Resistance

Abstract. We present a computer-based mathematical model that can simulate characteristic features of the clinical time course of human myeloma. It asserts that therapy resistance in myeloma cells is an inherited trait associated with the longer inter-mitotic times of some cells and that the strength of this trait affects tumour growth characteristics. These kinetic differences within the malignant cell clone may also influence therapeutic efficacy. In the model, the same total therapy, administered in different time-dose fractions, could be 'curative' or 'minimally effective' depending on kinetic properties. For example, as others have shown, in myeloma pulsed intermittent therapy is often more effective than low dose continuous therapy. According to our model this finding is compatible with a high coefficient of inheritability of resistance from one cell generation to the next. the model also suggests that if there are subclones of varying resistance, a therapy must have some effect on each of them if it is to be employed in a curative fashion. While many aspects of the model are not yet clinically testable, exploration of its concepts might increase knowledge about fundamental neoplastic mechanisms.     

Mathematical model for human myeloma relating growth kinetics and drug resistance

We present a computer-based mathematical model that can simulate characteristic features of the clinical time course of human myeloma. It asserts that therapy resistance in myeloma cells is an inherited trait associated with the longer inter-mitotic times of some cells and that the strength of this trait affects tumour growth characteristics. These kinetic differences within the malignant cell clone may also influence therapeutic efficacy. In the model, the same total therapy, administered in different time-dose fractions, could be 'curative' or 'minimally effective' depending on kinetic properties. For example, as others have shown, in myeloma pulsed intermittent therapy is often more effective than low dose continuous therapy. According to our model this finding is compatible with a high coefficient of inheritability of resistance from one cell generation to the next. The model also suggests that if there are subclones of varying resistance, a therapy must have some effect on each of them if it is to be employed in a curative fashion. While many aspects of the model are not yet clinically testable, exploration of its concepts might increase knowledge about fundamental neoplastic mechanisms.     

II. USE OF THE METHOD TO MONITOR THE IN VIVO KINETICS OF CELL POPULATIONS PERTURBED BY HYDROXYUREA

In a previous report, we described a new method called FP_i analysis to analyze time sequences of DNA histograms taken from a perturbed population of cells. In this paper we utilize the method to analyze the in vivo kinetic response of bone marrow and of lung metastases of the B16 tumor to various chemotherapeutic agents. We show that the technique allows useful kinetic data to be obtained with minimal processing of the raw histograms, thus allowing fast analysis of the data. We also show that, in order to monitor the kinetic response of living tissues, it is essential to collect multiparameter distributions; to monitor only the one dimensional fluorescence histogram can give rise to misleading results. Using these multiparameter histograms, we are also able to monitor the growth fraction of the lung metastases during treatment, allowing discrimination between cell synchrony and cell recruitment from the resting compartment.