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Synthesis and spectroscopic and electrochemical studies of novel benzo- or 2,3-naphtho-fused tetraazachlorins, bacteriochlorins, and isobacteriochlorins.

Benzene- or 2,3-naphthalene-ring-expanded tetraazachlorins (TACs), tetraazabacteriochlorins (TABCs), and tetraazaisobacteriochlorins (TAiBCs) have been synthesized by using tetramethylsuccinonitrile as a source of hydrogenated sites. The derived compounds were characterized by using NMR spectroscopy, X-ray crystallography, electronic and magnetic circular dichroism (MCD) spectroscopy, and electrochemical and spectroelectrochemical methods. X-ray analysis revealed that the benzene-fused TAiBC deviates slightly from planarity at the hydrogenated sites as a result of the presence of sp(3) carbons, which prefer a nonplanar tetrahedral conformation. The spectral data were analyzed by using a band deconvolution technique. In the electronic absorption spectra of TAC and TABC species, the Q band splits into two intense components and smaller splittings were observed for the 2,3-naphthalene-fused derivatives relative to the benzo-fused species. In contrast, in the case of TAiBCs, the Q band splitting was apparently not observed in absorption spectra, as expected from the C(2v) molecular symmetry. However, MCD signals of the Q band in TAiBCs showed Faraday B terms, implying that the accidental degeneracy of the LUMO and LUMO+1 was broken even for adjacently ring-fused species. Relative molecular orbital energies were estimated by using cyclic and differential pulse voltammetry. The first reduction potentials were close for TACs and TABCs, although those of TAiBCs shifted to more negative potentials. In contrast, although TABCs and TAiBCs exhibited similar first oxidation potentials, those of TACs appeared at more positive potentials. These properties were reproduced and rationalized by molecular orbital and configuration interaction calculations within the framework of the ZINDO/S Hamiltonian. DFT-level frequency calculations have succeeded in reproducing the IR spectra for low-symmetry tetraazaporphyrin (TAP) derivatives for the first time. The relationship between structures and spectral features is discussed.

Journal Article↗

Dynamic combinatorial carbohydrate libraries: probing the binding site of the concanavalin A lectin.

Dynamic combinatorial chemistry (DCC) has emerged as an efficient approach to receptor/ligand identification based on the generation of combinatorial libraries by reversible interconversion of the library constituents. In this study, the implementation of such libraries on carbohydrate-lectin interactions was examined with the plant lectin Concanavalin A as a target species. Dynamic carbohydrate libraries were generated from a pool of carbohydrate aldehydes and hydrazide linker/scaffold components through reversible acylhydrazone exchange, resulting in libraries containing up to 474 constituents. Dynamic deconvolution allowed the efficient identification of the structural features required for binding to Concanavalin A and the selection of a strong binder, a tritopic mannoside, showing an IC(50)-value of 22 microM.

Binding Sites↗

Interstitial Zn atoms do the trick in thermoelectric zinc antimonide, Zn4Sb3: a combined maximum entropy method X-ray electron density and ab initio electronic structure study.

The experimental electron density of the high-performance thermoelectric material Zn4Sb3 has been determined by maximum entropy (MEM) analysis of short-wavelength synchrotron powder diffraction data. These data are found to be more accurate than conventional single-crystal data due to the reduction of common systematic errors, such as absorption, extinction and anomalous scattering. Analysis of the MEM electron density directly reveals interstitial Zn atoms and a partially occupied main Zn site. Two types of Sb atoms are observed: a free spherical ion (Sb3-) and Sb2(4-) dimers. Analysis of the MEM electron density also reveals possible Sb disorder along the c axis. The disorder, defects and vacancies are all features that contribute to the drastic reduction of the thermal conductivity of the material. Topological analysis of the thermally smeared MEM density has been carried out. Starting with the X-ray structure ab initio computational methods have been used to deconvolute structural information from the space-time data averaging inherent to the XRD experiment. The analysis reveals how interstitial Zn atoms and vacancies affect the electronic structure and transport properties of beta-Zn4Sb3. The structure consists of an ideal A12Sb10 framework in which point defects are distributed. We propose that the material is a 0.184:0.420:0.396 mixture of A12Sb10, A11BCSb10 and A10BCDSb10 cells, in which A, B, C and D are the four Zn sites in the X-ray structure. Given the similar density of states (DOS) of the A12Sb10, A11BCSb10 and A10BCDSb10 cells, one may electronically model the defective stoichiometry of the real system either by n-doping the 12-Zn atom cell or by p-doping the two 13-Zn atom cells. This leads to similar calculated Seebeck coefficients for the A12Sb10, A11BCSb10 and A10BCDSb10 cells (115.0, 123.0 and 110.3 microV K(-1) at T=670 K). The model system is therefore a p-doped semiconductor as found experimentally. The effect is dramatic if these cells are doped differently with respect to the experimental electron count. Thus, 0.33 extra electrons supplied to either kind of cell would increase the Seebeck coefficient to about 260 microV K(-1). Additional electrons would also lower sigma, so the resulting effect on the thermoelectric figure of merit of Zn4Sb3 challenges further experimental work.

Journal Article↗

Novel properties from experimental charge densities: an application to the zwitterionic neurotransmitter taurine.

The charge distribution of taurine (2-aminoethane-sulfonic acid) is revisited by using an orbital-based method that describes the density in a fixed molecular orbital basis with variable orbital occupation numbers. A new neutron data set is also employed to explore whether this improves the deconvolution of thermal motion and charge density. A range of molecular properties that are novel for experimentally determined charge densities are computed, including Weinhold population analysis, Mayer bond orders, and local kinetic energy densities, in addition to charge topological analysis and quantum theory of atoms-in-molecules (QTAIM) integrated properties. The ease with which a distributed multipole analysis can be performed on the fitted density matrix makes it straightforward to compute molecular moments, the lattice energy, and the electrostatic interaction energies of molecules removed from the crystal. Results are compared with high-level (QCISD) gas-phase calculations and band structure calculations employing density functional theory. Finally, the avenues available for extending the range of molecular properties that can be calculated from experimental charge densities still further using this approach are discussed.

Electrons↗

Evaluation of reversible and irreversible models for the determination of the enantiomerization energy barrier for N-(p-methoxybenzyl)-1,3,2-benzodithiazol-1-oxide by supercritical fluid chromatography.

It has been found that the interconversion of enantiomers on a chromatographic column during the separation process can be studied by the first-order kinetic equations derived both for reversible and irreversible reactions in a stationary system if the extent of interconversion is not too high. The equation derived for irreversible reactions gives, however, results also for higher degrees of enantiomerization while that derived for reversible interconversion failed. The irreversible equation was used to determine the enantiomerization barrier of N-(p-methoxybenzyl)-l,3,2-benzodithiazol-l-oxide enantiomers by supercritical fluid chromatography. The racemate of N-(p-methoxybenzyl)-l,3,2-benzodithiazol-l-oxide was separated by supercritical fluid chromatography on the (R,R)-Whelk-Ol column with supercritical carbon dioxide containing 20% methanol as a mobile phase. Peak areas of enantiomers prior to and after the separation used for the calculation of the enantiomerization barrier were determined by computer-assisted peak deconvolution of peak clusters registered on chromatograms using commercial software.

Chromatography↗

Disposition and absorption of hydroxychloroquine enantiomers following a single dose of the racemate.

The disposition of hydroxychloroquine enantiomers has been investigated in nine patients with rheumatoid arthritis following administration of a single dose of the racemate. Blood concentrations of (-)-(R)-hydroxychloroquine exceed those of (+)-(S)-hydroxychloroquine following both an oral and intravenous dose of the racemate. Maximum blood concentrations of (-)-(R)-hydroxychloroquine were higher than (+)-(S)-hydroxychloroquine after oral dosing (121 +/- 56 and 99 +/- 42 ng/ml, respectively, P = 0.009). The time to maximum concentration and the absorption half-life, calculated using deconvolution techniques, were similar for both enantiomers. The fractions of the dose of each enantiomer absorbed were similar, 0.74 and 0.77 for (-)-(R)- and (+)-(S)-hydroxychloroquine, respectively (P = 0.77). The data suggest that absorption of hydroxychloroquine is not enantioselective. The stereoselective disposition of hydroxychloroquine appears to be due to enantioselective metabolism and renal clearance, rather than stereoselectivity in absorption and distribution.

Absorption↗

On-line evaluation of systolic performance by densitometry in digital left ventriculography.

The angiocardiographic evaluation of left ventricular end-diastolic (LVEDV) and end-systolic (LVESV) volumes and ejection fraction (EF) is routinely performed by the area-length method (ALM) but may lead to erroneous results. Digital imaging in real time allows densitometric procedures of determining left ventricular (LV) performance to be applied alternatively. In this study, we present densitometric algorithms for the analysis of LVEDV, LVESV, and EF from digital image data, establish accuracy and reproducibility, and determine value and limitations in comparison with ALM in single-plane 30 degrees right anterior oblique (RAO) projection. A linear relationship between iodine depth and measured densities is mainly burdened with scatter radiation and beam hardening which reduce primary radiation and suppress iodine depth. However, facilities such as deconvolution and correction algorithms are capable of reducing these sources of error. In the present study, computer-analyzed contrast images of iodine-filled wedges and spheres showed a near-linear relationship between iodine depth between 50-100 mg/cm2 and measured densities. Contrast images of heart casts and LV angio-grams of 54 patients were obtained with a digital image acquisition and processing system, and evaluated by two independent observers. The phantom study resulted in significantly (p < or = 0.01) better densitometric standard errors of estimate for volumes [3.3 ml densitometry (DENS) vs. 8.9 ml (ALM)] and simulated EF [4.3% (DENS) vs. 7.8% (ALM)] than ALM. The standard error of estimate for the comparison between both methods was 8.4 ml for volumes and 7.5% for EF. Densitometric volumes tended to underestimate volumes calculated by ALM. The angiographic study of patients demonstrated significant correlations between both methods (LVEDV r = 0.78, LVESV r = 0.83, total volumes: r = 0.89; EF r = 0.88). The standard errors of estimate can be ascribed to systematic, method-related errors of both DENS and ALM (LVEDV +/- 28.9 ml, LVESV +/- 23.4 ml, total volumes (EDV and ESV) +/- 27.1 ml; EF +/- 8.1%). The intra- and interobserver variability, respectively, exhibited significantly smaller (p < or = 0.01 and p < or = 0.05, respectively) standard errors of estimate for densitometric EF [4.6% (DENS) vs. 8.5% (ALM) and 7.1% (DENS) vs. 10.3% (ALM), respectively]. Inclined but not significant differences were found for LVEDV and LVESV. In conclusion, the data presented indicate that the calculation of LV volumes and EF in digital left ventriculography may be performed accurately by densitometric calculation in single-plane 30 degrees RAO projection. Minor underestimations in densitometric volume determination may be anticipated in the evaluation of LV geometry.

Adult↗

Synaptic connectivity of the diffuse bipolar cell type DB6 in the inner plexiform layer of primate retina.

Diffuse bipolar cells in primate retina receive synaptic input from multiple cones and provide output to ganglion cells. Diffuse bipolar cells can be subdivided into six types (DB1-DB6) according to the stratification of their axon terminals in the inner plexiform layer, but their synaptic connectivity in the inner plexiform layer is not well understood. Here the stratification and synaptic connectivity of DB6 axon terminals were studied in the retinae of New World (marmoset) and Old World (macaque) monkeys. Immunohistochemical markers were applied to retinal sections. The sections were analyzed by confocal and deconvolution light microscopy as well as electron microscopy. The DB6 cells were identified with antibodies against CD15; rod bipolar cells were identified with antibodies against protein kinase Calpha (PKCalpha); and AII amacrine cells were identified with antibodies against calretinin. The axons of DB6 and rod bipolar cells occupy distinct regions in stratum 5 of the inner plexiform layer. The distal processes of calretinin-labeled AII cells are usually closely associated with rod bipolar axons but sometimes also with DB6 axons. Pre-embedding immunoelectron microscopy showed that the vast majority (over 86%) of the synaptic output of DB6 cells is onto amacrine cell processes, whereas less than 14% goes to ganglion cell processes. In double-labeled preparations DB6 axons occasionally made output onto calretinin-labeled amacrine processes. Thus it is possible that AII cells receive some input from DB6 cells.

Amacrine Cells↗

S-cone connections of the diffuse bipolar cell type DB6 in macaque monkey retina.

Previous studies of primate retinae have shown that diffuse bipolar (DB) cells contact all the cones in their dendritic field, suggesting there is no spectral selectivity in the functional input to DB cells. However, since short-wavelength sensitive (S) cones make up less than 10% of the total cone population, specialized connectivity with S-cones is difficult to detect. In the present study, the S-cone connectivity of a subtype of DB cells, the DB6 cell, was studied in macaque monkey retina. Pieces of macaque retina were processed with antibodies to CD15 to stain DB6 cells and antibodies to the S-cone opsin to identify S-cones. Immunoreactivity was visualized using immunoperoxidase or immunofluorescence. Some preparations were additionally processed with peanut agglutinin coupled to fluorescein to reveal medium- and long-wavelength sensitive (M/L) cones. The preparations were analyzed using conventional and deconvolution light microscopy. The majority of DB6 cells had one or two S-cones in their dendritic field and the majority of S-cones were located in the dendritic field of DB6 cells. On average, 80% of the S-cones and 81% of the M/L cones contacted DB6 cells. The average number of dendritic terminals at cone pedicles did not differ between the cone types. However, the total number of DB6 dendritic terminals receiving input from M/L-cone pedicles was about eight times higher than the total number of dendritic terminals at S-cone pedicles. In conclusion, DB6 cells make indiscriminate contact with all cone types, but receive their major input from M/L-cones and thus carry a "Yellow-ON" spectral signal.

Animals↗

Multi-Omics Integration Identifies a Five-Gene Metabolic Signature With Experimental Validation in Clear Cell Renal Cell Carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is hallmarked by profound metabolic reprogramming; however, its intricate crosstalk with the tumor immune microenvironment (TIME) and its clinical ramifications remain inadequately elucidated. This study aims to systematically decipher the metabolic-immune interplay in ccRCC through multi-omics integration, with the goal of identifying robust prognostic biomarkers and actionable therapeutic vulnerabilities. AIMS: This study aims to systematically decipher the metabolic-immune interplay in clear cell renal cell carcinoma (ccRCC) through multi&#x2011;omics integration, and to identify robust prognostic biomarkers and actionable therapeutic vulnerabilities that can inform precision risk stratification and individualized treatment strategies. METHODS: We integrated bulk transcriptomic, genomic, and clinical data from multiple ccRCC cohorts. Differential expression and functional enrichment analyses were performed to characterize metabolic pathway alterations. Mendelian randomization (MR) was employed to infer causal relationships between metabolic disorders and ccRCC risk. A machine learning-based prognostic framework, incorporating SHAP (SHapley Additive exPlanations) for feature interpretability, was constructed and rigorously validated. TIME heterogeneity was dissected using deconvolution algorithms, while drug sensitivity, tumor mutation burden (TMB), and TIDE scores were utilized to assess therapeutic responses and immune evasion. Candidate gene function was evaluated through in&#xa0;vitro gain- and loss-of-function assays, with expression validated via TCGA, HPA, western blot, and qRT-PCR. RESULTS: Enrichment analysis identified coordinated dysregulation in lipid metabolism, energy homeostasis, and hypoxia response pathways. MR analysis confirmed lipid metabolism disorders as a causal risk factor for ccRCC. Our machine-learning model, centered on five core SHAP-identified features (SUCLA2, ACAT1, PC, SUCLG1, and HMGCS2), demonstrated superior predictive accuracy over conventional clinical staging. Immune profiling unveiled dichotomous TIME states: the low-risk group retained active immune surveillance, whereas the high-risk group was enriched with immunosuppressive subsets. Drug sensitivity screening pinpointed LY2109761 and carmustine as high-risk-specific candidate agents. Furthermore, TMB and TIDE analyses stratified high-risk patients displaying genomic instability and immune evasion phenotypes. Functionally, SUCLA2 knockdown significantly enhanced ccRCC cell proliferation and invasion, while its overexpression suppressed these malignant phenotypes, corroborating its tumor-suppressive role. Expression patterns of the hub genes were consistently validated across multi-level datasets and experimental assays. CONCLUSION: This study establishes a precision oncology framework for ccRCC by functionally linking metabolic biomarkers, immunophenotypes, and stratified therapeutic strategies. Importantly, we identify SUCLA2 as a potential functional tumor suppressor and a promising target for further mechanistic and translational investigation.

Humans↗

In-plane structures of synthetic oligolactose lipid monolayers--impact of saccharide chain length.

Grazing incidence X-ray diffraction (GIXD) was used to investigate the in-plane structure of monolayers of synthetic glycolipids with oligolactose head groups (Lac N, with N = number of lactose units) at the air/water interface. The Lac 1 monolayer exhibits three sharp diffraction peaks. One peak can be deconvoluted into two diffraction peaks, which suggests that alkyl chains in the monolayer form an orthorhombic lattice. On the other hand, the other two peaks are related to bulk crystalline materials residing at the interface. Another weak peak from the head group correlation, either in a monolayer or in bulk crystals, can also be observed in some experiments. The scattering patterns of the Lac 2 monolayer indicate that the alkyl chains order in an orthorhombic lattice, where a shift in the hydrophilic/hydrophobic balance seems to fluidize the film. Alkyl chains in the Lac 3 monolayer also seem to assume an orthorhombic lattice; however, a weak diffraction peak from the correlation between trilactose head groups can also be observed. The estimated lattice dimensions are compared systematically to those of bulk dispersions, as well as to the viscoelastic properties of the monolayer. The obtained results strongly suggest that the in-plane structure of synthetic glycolipid monolayers can provide a well-defined basis to understand the impact of the chemical structure on the cooperativity and function of the glycocalix of cellular surfaces.

Lactose↗

Local dense structural heterogeneities in liquid water from ambient to 300 MPa pressure: evidence for multiple liquid-liquid transitions.

Difference and double-difference near-infrared DO-D and HO-H stretching overtone (2nuOD and 2nuOH) spectroscopy and a rigorous (physically substantiated) band deconvolution technique were applied to reveal three different kinds of inherent (interstitial) structures of liquid water, which determine its high density (compared to ice lh under ambient conditions), its compressibility (under hydrostatic pressure, up to 300MPa), and its high fragility (manifested under temperature variation). Our data processing allowed the rigorous discrimination of up to six vibrational components. On the basis of an extensive comparative analysis combined with available structural data (X-ray and neutron scattering) and molecular dynamics (MD) simulations for liquid water, as well as with experimental and computed data for small non-tetrahedrally arranged water clusters, the major four components could be ascribed to: i) The basic lh icelike substructure; ii) the temperature-dependent remote interstitial "defects" due to tetrahedral displacements (primarily responsible for transport properties); iii) the interstitial "defects" most probably arranged in quasiplanar noncyclic tetramers (totally absent in the ice structure); and iv) the interstitial "defects" formed with increasing pressure, probably arranged in cubic water octamers and composed of two pairs of noncyclic and cyclic tetramer fragments. The latter structures include, essentially, bent hydrogen bonds stabilized by resonance effects.

Journal Article↗

Absolute bioavailability in man of N-acetylprocainamide determined by a novel stable isotope method.

Absorption of a single oral dose of N-acetylprocainamide (NAPA) was studied in 3 normal subjects. Approximately 85% of the oral dose was absorbed and peak plasma NAPA concentrations were reached in 45 to 90 min. In 2 subjects, NAPA was absorbed at a fast initial rate, then more slowly, prolonging the apparent elimination phase half-life. Absolute bioavailability was determined by a new stable isotope method that entailed intravenous injection of NAPA 13C at the same time that an unlabeled NAPA capsule was given orally. Plasma levels and urine excretion of both compounds were determined by mass fragmentography. Bioavailability was assessed by deconvoluting the plasma level vs time curves resulting from intravenous and oral drug administration, and also by comparing the relative percentage of NAPA and NAPA-13C excreted unchanged in the 24 hr after simultaneous administration.

Adult↗

DNA content and kinetic characteristics of non-Hodgkin's lymphoma: determined by flow cytometry and autoradiography.

The determination of DNA content and [3H]thymidine labeling index was carried out on malignant lymph nodes from 74 patients with non-Hodgkin's lymphoma. Analysis of cellular DNA content was performed using propidium iodide as DNA-specific fluorescence dye. The ploidy was expressed as the DNA ratio between the relative DNA content of the human lymphoid G0/1 cells to that of chicken red blood cells. Forty-five of the 74 non-Hodgkin's lymphomas (61%) were aneuploid populations and the majority of these (91%) showed a hyperdiploid DNA content. A higher frequency of aneuploidy (72%) was observed in tumors with unfavorable histology than in those with a favorable histology (55%). Moreover, among aneuploid lymphomas heterogeneous populations were observed in 24% of the cases. The evaluation of flow cytometric data using Fried's deconvolution procedure showed no statistically different frequency of G0/1, S and G2 + M cells between the two groups of tumors with favorable and unfavorable histology. on the contrary, a statistically different frequency of G0/1 and S cells was observed between the two groups of tumors with low and high labeling indices (P less than 0.01). A correlation was found between autoradiographic and flow cytometric determination of S phase cells (P less than 0.001).

Aneuploidy↗

A computer algorithm for the analysis of protein distribution in budding yeast.

Flow cytometry gives relevant data on cellular parameters such as DNA, RNA, and protein contents of individual cells and is therefore a powerful tool for analyzing microbial population dynamics. Relevant information about growth dynamics may be obtained from protein distribution. In fact, protein distribution is related to age distribution and depends on the law of growth of the population and the law of growth of the single cell. To extract the available information from protein distribution, we developed a computer algorithm starting from a model for growth of Saccharomyces cerevisiae. This algorithm quantitatively fits experimental protein distributions, allows a deconvolution of these distributions, and thus yields information about temporal parameters of the cell cycle and structure of yeast populations.

Cell Cycle↗

Calculation of S-phase numbers of four major cell categories in human bone marrow from DNA-flow cytometry and counterflow centrifugation data.

Fractionation of heterogeneous cell populations into a number of fractions differing in cell size and composition, followed by measurement of DNA profiles and differential morphology of the samples allows the calculation, using a mathematical deconvolution procedure, of the cell proliferation of the individual categories. The method was applied to human bone marrow, fractionated by counterflow centrifugation into 10 to 15 fractions. Calculated percentage of S-phase cells in four major categories, including myeloid, erythroid, monocytic, and lymphoid cells, were in good agreement with data obtained by tritiated thymidine autoradiography.

Bone Marrow↗

Fringe-scan flow cytometry.

We describe the development of a scanning flow cytometer capable of measuring the distribution of fluorescent dye along objects with a spatial resolution of 0.7 micron. The heart of this instrument, called a fringe-scan flow cytometer, is an interference field (i.e., a series of intense planes of illumination) produced by the intersection of two laser beams. Fluorescence profiles (i.e., records showing the intensity of fluorescence measured at 20 ns intervals) are recorded during the passage of objects through the fringe field. The shape of the fringe field is determined by recording light scatter profiles as 0.25 micron diameter microspheres traverse the field. The distribution of the fluorescent dye along each object passing through the fringe field is estimated from the recorded fluorescence profile using Fourier deconvolution. We show that the distribution of fluorescent dye along microsphere doublets and along propidium iodide stained human chromosomes can be determined accurately using fringe-scan flow cytometry. The accuracy of fringe-scan shape analysis was determined by comparing fluorescence profiles estimated from fringe-scan profiles for microspheres and chromosomes with fluorescence profiles for the same objects measured using slit-scan flow cytometry.

Chromosomes↗

A review of techniques and results obtained in one laboratory by an integrated system of methods designed for routine clinical flow cytometric DNA analysis.

Establishing flow cytometric DNA analysis as a clinical routine procedure requires adequate and proven guidelines, by which the data can be obtained and interpreted to directly influence management of the individual patient with a specific neoplasm. The present paper is intended as a contribution to such guidelines, of which only fragments are available today. We have previously described a system of methods, designed for routine flow cytometric DNA analysis. In the present status report our experience, based on approximately 18,000 samples (clinical and experimental) is summarised. Sample acquisition with fine-needle aspiration, storage at -80 degrees C, internal standardization by chicken (CRBC) and trout red blood cells (TRBC), staining with propidium iodide (PI), and analysis in the flow cytometer is recapitulated, with emphasis on previously unpublished aspects. The method of statistical analysis which has an integrating role is described in some detail. A lack of linearity between channel number and DNA content was determined experimentally, and the coefficient of variation (CV) was found to decrease with increasing channel number. The corrections in the algorithm of deconvolution made necessary by these findings are fundamental for estimating the end results. The zero point adjustment and procedures for changing from one batch of standards to another are described. A systematic approach to interpretation of DNA histograms is attempted and illustrated by data from clinical specimens of malignant lymphoma, breast cancer, small cell lung cancer, cancer of the oral cavity, and bladder cancer. Some problems are still unsolved and visual inspection is required to determine if the quality of the individual histogram is satisfactory. Inspection of the fluorescence/light scatter dot-plot provides additional information for the recognition of artifacts. The results stress that good quality DNA histograms with as small CVs as possible are important for interpretation of the data. It is essential that statistical methods are employed to extract the key end-point results. These are the number of subpopulations and their relative representation, and for each subpopulation the DNA index (DI) and the fractions of cells in the cell cycle phases. For the DNA data to have any rationally based impact on clinical decision making, it must be demonstrated that they have an independent prognostic value. Strategies for final evaluation are discussed. Multicenter trials on fresh material, to accrue quickly the number of patients necessary for firm conclusions, are suggested.

DNA↗