Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology最新文献

The response of single breast cancer cells (cell line T-47D) to 17beta-estradiol (E(2)) under different concentrations was studied by using an instrument that allows to combine far-field light microscopy with high resolution scanning near-field (AFM/SNOM) microscopy on the same cell. Different concentrations of E(2) induce clearly different effects as well on cellular shape (in classical bright-field imaging) as on surface topography (atomic force imaging) and absorbance (near-field light transmission imaging). The differences range from a polygonal shape at zero via a roughly spherical shape at physiological up to a spindle-like shape at un-physiologically high concentrations. The surface topography of untreated control cells was found to be regular and smooth with small overall height modulations. At physiological E(2) concentrations the surfaces became increasingly jagged as detected by an increase in membrane height. After application of the un-physiological high E(2) concentration the cell surface structures appeared to be smoother again with an irregular fine structure. The general behaviour of dose dependent differences was also found in the near-field light transmission images. In order to quantify the treatment effects, line scans through the normalised topography images were drawn and a rate of co-localisation between high topography and high transmission areas was calculated. The cell biological aspects of these observations are, so far, not studied in detail but measurements on single cells offer new perspectives to be empirically used in diagnosis and therapy control of breast cancers.

Cytological examination is a valuable diagnostic tool in case of a serous effusion. The first manifestation of malignancy may be an effusion of the pleural, pericardial, or peritoneal cavity, especially in carcinoma of the ovary, or lung, and malignant mesothelioma. In other malignancies effusions may occur in the course of the disease. The contribution by Mother by et al. in this issue of ACP focuses on the contribution of image and flow cytometry to establish the presence or absence of malignancy in serous effusions. They point out that the sensitivity of DNA image cytometry in equivocal effusions may be as high as 87.5%, and that for the detection of malignancy, DNA image cytometry is superior to flow cytometry.

Different opinions about flow cytometric estimates of DNA aneuploidy and/or S-phase fraction (SPF) as supplementary prognostic markers in colorectal cancer are to some degree associated with methodology. Using univariate DNA analysis, we have previously investigated the DNA ploidy in colorectal cancer, its heterogeneity within and between tumors and its relation to survival. To improve detection of DNA aneuploid subpopulations and particularly estimation of their SPF's we investigated a method for bivariate DNA/cytokeratin analysis on fine-needle aspirates of 728 frozen biopsies from 157 colorectal tumors. Unfixed aspirates were stained with propidium iodide and FITC-conjugated anti-cytokeratin antibody in a saponin-buffer. A significant association between SPF and debris was observed. There were no substantial difference in DNA ploidy patterns between univariate and bivariate measurements (concordance was 92-95%). No new DNA aneuploid subpopulations were detected in cytokeratin-gated compared to ungated or univariate histograms. Debris-adjusted SPF's of cytokeratin-gated histograms were significantly higher than of ungated histograms, also for subpopulations with DI>1.4 (p<0.0001). There was no significant association between SPF and survival.

Comparative genomic hybridization (CGH) is an established genetic method which enables a genome-wide survey of chromosomal imbalances. For each chromosome region, one obtains the information whether there is a loss or gain of genetic material, or whether there is no change at that place. Therefore, large amounts of data quickly accumulate which must be put into a logical order. Cluster analysis can be used to assign individual cases (samples) to different clusters of cases, which are similar and where each cluster may be related to a different tumour biology. Another approach consists in a clustering of chromosomal regions by rewriting the original data matrix, where the cases are written as rows and the chromosomal regions as columns, in a transposed form. In this paper we applied hierarchical cluster analysis as well as two implementations of self-organizing feature maps as classical and neuronal tools for cluster analysis of CGH data from prostatic carcinomas to such transposed data sets. Self-organizing maps are artificial neural networks with the capability to form clusters on the basis of an unsupervised learning rule. We studied a group of 48 cases of incidental carcinomas, a tumour category which has not been evaluated by CGH before. In addition we studied a group of 50 cases of pT2N0-tumours and a group of 20 pT3N0-carcinomas. The results show in all case groups three clusters of chromosomal regions, which are (i) normal or minimally affected by losses and gains, (ii) regions with many losses and few gains and (iii) regions with many gains and few losses. Moreover, for the pT2N0- and pT3N0-groups, it could be shown that the regions 6q, 8p and 13q lay all on the same cluster (associated with losses), and that the regions 9q and 20q belonged to the same cluster (associated with gains). For the incidental cancers such clear correlations could not be demonstrated.

In this article we have proposed an integrated system for measurement of important features from 3D tissue images. We propose a segmentation technique, where we combine several methods to achieve a good degree of automation. Important histological and cytological three-dimensional features and strategies to measure them are described.

The hypothetical multistep model of breast carcinogenesis suggests a transition from normal epithelium to invasive carcinoma via intraductal hyperplasia (without and with atypia) and in situ carcinoma. These presumptive precursor lesions are currently defined by their histological features, and their prognosis is imprecisely estimated from indirect epidemiological evidence. Cytogenetic and molecular-genetic analysis of these lesions give evidence for an accumulation of various genetic alterations during breast tumorigenesis. Using immuno-histochemistry overexpression of the c-erbB-2 oncogene was found in ductal carcinoma in situ (DCIS), but not in atypical intraductal hyperplasia (AIDH) and intraductal hyperplasia (IDH). An expression of mutant p53 tumor suppressor gene as well as expression of cyclin D1 was identified in DCIS. In IDH lesions loss of heterozygosity (LOH) at various loci could be identified, and comparative genomic hybridization (CGH) and fluorescence in situ hybridization (FISH) studies delivered evidence for DNA amplification on chromosomal region 20q13 in the early stage of IDH.However, little is currently known about genetic alterations in those premalignant lesions, and the chronology of genetic alterations and histopathological changes during carcinogenesis is mainly undiscovered.

In gynecologic oncology valid prognostic factors are necessary to estimate the course of disease and to define biologically similar subgroups for analysis of therapeutic efficacy. The presented study is a prospective study concerning prognostic significance of DNA ploidy and S-phase fraction in breast cancer following enrichment of tumor cells by cytokeratin labelling. Epithelial cells were labeled by FITC-conjugated cytokeratin antibody (CK 5, 6, 8, and CK 17) prior to flow cytometric cell cycle analysis in 327 fresh specimens of primary breast cancer. Univariate analysis in breast cancer detected the prognostic significance of DNA-ploidy, S-phase fraction and CV (coefficient of variation) of G(0)G(1)-peak of tumor cells for clinical outcome, especially for nodal-negative patients. Multivariate analysis could not confirm prognostic evidence of DNA-ploidy and S-phase fraction. In conclusion, in breast cancer no clinical significance for determination of DNA-parameters was found.