Quantification of fluorescence in situ hybridization signals by image cytometry

Automated Analysis of 1p/19q Status by FISH in Oligodendroglial Tumors: Rationale and Proposal of an Algorithm

Objective

To propose a new algorithm facilitating automated analysis of 1p and 19q status by FISH technique in oligodendroglial tumors with software packages available in the majority of institutions using this technique.

Methods

We documented all green/red (G/R) probe signal combinations in a retrospective series of 53 oligodendroglial tumors according to literature guidelines (Algorithm 1) and selected only the most significant combinations for a new algorithm (Algorithm 2). This second algorithm was then validated on a prospective internal series of 45 oligodendroglial tumors and on an external series of 36 gliomas.

Results

Algorithm 2 utilizes 24 G/R combinations which represent less than 40% of combinations observed with Algorithm 1. The new algorithm excludes some common G/R combinations (1/1, 3/2) and redefines the place of others (defining 1/2 as compatible with normal and 3/3, 4/4 and 5/5 as compatible with imbalanced chromosomal status). The new algorithm uses the combination + ratio method of signal probe analysis to give the best concordance between manual and automated analysis on samples of 100 tumor cells (91% concordance for 1p and 89% concordance for 19q) and full concordance on samples of 200 tumor cells. This highlights the value of automated analysis as a means to identify cases in which a larger number of tumor cells should be studied by manual analysis. Validation of this algorithm on a second series from another institution showed a satisfactory concordance (89%, κ = 0.8).

Conclusion

Our algorithm can be easily implemented on all existing FISH analysis software platforms and should facilitate multicentric evaluation and standardization of 1p/19q assessment in gliomas with reduction of the professional and technical time required.

State-of-the-art FISHing: automated analysis of cytogenetic aberrations in interphase nuclei

Interphase fluorescence in situ hybridization (i-FISH) is a powerful tool for visualizing various molecular targets in non-dividing cells. Manual scoring of i-FISH signals is a labor intensive, time-consuming, and error-prone process liable to subjective interpretation. Automated evaluation of signal patterns provides the opportunity to overcome these difficulties. The first report on automated i-FISH analysis has been published 20 years ago and since then several applications have been introduced in the fields of oncology, and prenatal and fertility screening. In this article, we provide an insight into the automated i-FISH analysis including its course, brief history, clinical applications, and advantages and challenges. The lack of guidelines for describing new automated i-FISH methods hampers the precise comparison of performance of various applications published, thus, we make a proposal for a panel of parameters essential to introduce and standardize new applications and reproduce previously described technologies.

RECONSTRUCTING TUMOR PHYLOGENIES FROM HETEROGENEOUS SINGLE-CELL DATA

Studies of gene expression in cancerous tumors have revealed that tumors presenting indistinguishable symptoms in the clinic can be substantially different entities at the molecular level. The ability to distinguish between these genetically distinct cancers will make possible more accurate prognoses and more finely targeted therapeutics, provided we can characterize commonly occurring cancer sub-types and the specific molecular abnormalities that produce them. We develop a new method for identifying these common tumor progression pathways by applying phylogeny inference algorithms to single-cell assays, taking advantage of information on tumor heterogeneity lost to prior microarray-based approaches. We combine this approach with expectation maximization to infer unknown parameters used in the phylogeny construction. We further develop new algorithms to merge inferred trees across different assays. We validate the expectation maximization method on simulated data and demonstrate the combined approach on a set of fluorescent in situ hybridization (FISH) data measuring cell-by-cell gene and chromosome copy numbers in a large sample of breast cancers. The results further validate the proposed computational methods by showing consistency with several previous findings on these cancers and provide novel insights into the mechanisms of tumor progression in these patients.

Quantitative in situ evaluation of telomeres in fluorescence in situ hybridization-processed sections of cutaneous melanocytic lesions and correlation with telomerase activity

BACKGROUND

Telomere length is correlated with cellular ageing and immortalization processes. In some human cancers telomere length measurement has proved to be of diagnostic and prognostic value. Results comparable with the traditional terminal restriction fragment length determination by Southern blotting have been obtained in metaphase and interphase cells in some studies by fluorescence in situ hybridization (FISH) analysis; FISH additionally allows for the quantification of telomeres at the cellular level.

OBJECTIVES

In this study, 32 melanocytic lesions were analysed by FISH, aiming at investigating possible telomere differences among various benign and malignant lesions and correlation with telomerase activity (TA) level.

METHODS

FISH was performed on paraffin sections from six common naevi, eight Spitz naevi, 12 melanomas, six melanoma metastases and nine control samples of normal skin. Telomere mean maximum diameter (Feret max), area and number per nuclear area were calculated by image analysis on fluorescent images elaborated through KS400 and in situ imaging system (ISIS) for FISH analysis programs. Mean TA level was also calculated in all lesions and correlated with telomere parameters.

RESULTS

Telomere number per nuclear area was significantly lower in melanomas and metastases than in benign common and Spitz naevi and in control skin (7 small middle dot24 +/- 3.3; 6.11 +/- 3 vs. 14.46 +/- 5.6; 16.92 +/- 7.8; and 12.59 +/- 3.4, respectively; P < 0 .001). No significant differences were found for the other telomere parameters. In common and Spitz naevi, telomere number was positively correlated with Feret max (P = 0.046 and P < 0.0001, respectively). TA was significantly higher in melanomas and metastases than in the other groups (70.18 +/- 25.2; 105.07 +/- 30 vs. 2.16 +/- 2.4; 2 .99 +/- 2.1; 2 +/- 1.2, respectively; P< or = 0. 001) and it was inversely correlated with telomere number per nuclear area in melanomas (P = 0.0041). No other significant correlations were found.

CONCLUSIONS

Encouraging results have been obtained from quantitative telomere evaluation in the diagnosis of melanocytic lesions, although an analysis of a larger number of cases would be necessary to provide more reliable data. An extreme shortening of some telomeres probably results in the decrease of telomeric signals and the lower mean number of detectable telomeres in melanomas and metastases. In melanomas, telomere number per nuclear area is also inversely correlated with TA levels. Quantitative FISH of melanocytic lesions could give more specific information at the cellular level in telomere and telomerase fields of investigation.

Texture analysis of fluorescence microscopic images of colonic tissue sections

The aim of this study was to assess the potential of texture analysis for the characterization of fluorescence images from colonic tissue sections stained with a novel and selective fluoroprobe, Rhodamine B-phenylboronic acid. Fluorescence microscopy images of colonic healthy mucosa (n = 35) and adenocarcinomas (n = 35) were digitally captured and subjected to image texture analysis. Textural features derived from the grey level co-occurrence matrix were calculated. A modified version of the multiple discriminant analysis criterion was used to choose an appropriate subset of features. A minimum Mahalanobis distance, linear discriminant classifier and a simple evaluation 'score' method were used to classify image feature data into the two categories. A subset of four textural features was selected and used for the description and classification of each image field. They were found appropriate to correctly classify 95% of the images into the two classes, using two different classifiers. These features contained information about local homogeneity and grey level linear dependencies of the image. This study demonstrated that texture analysis techniques could provide valuable diagnostic decision support in a complex domain such as colorectal tissue.

Detection and quantitation by fluorescence in situ hybridization (FISH) and image analysis of HER-2/neu gene amplification in breast cancer fine-needle samples

BACKGROUND

Fine-needle sampling, although a practical and noninvasive method of tissue acquisition, has rarely been used for HER-2/neu fluorescent in situ hybridization (FISH). To assess HER-2/neu gene amplification in mammary carcinoma, FISH signals on cytology and corresponding tissue biopsies were detected visually and measured by image analysis. The results were correlated with patient and tumor characteristics.

METHODS

In situ HER-2/neu DNA probe hybridization was performed on 61 cytology specimens and on 47 corresponding frozen sections of breast carcinomas. Tumors were classified by visual evaluation as unamplified, moderately amplified, or highly amplified. Multiparametric image analysis was performed using the Discovery automated image analyzer (Becton Dickinson, Leiden, Netherlands). The integrated fluorescence ratio (IFR) was calculated for each sample as the integrated FISH fluorescence of the tumor cells divided by the integrated FISH fluorescence of internal control cells containing two spots. The percentage positive nuclear area (PPN), calculated as the area of FISH fluorescence divided by the area of nuclear DNA fluorescence, and the PPR, ratio of the PPN of the tumor cells divided by the control cells, were also calculated for each sample.

RESULTS

Visual analysis yielded 46 unamplified and 15 (24.6%) amplified (seven moderately amplified and eight highly-amplified) tumors. Strong (P < 0.001) correlation between results on cytological and histological materials was obtained. The FISH spots on the cytological preparations were more easily visualized and scored than those on the corresponding tissue sections. Visual HER-2/neu signal scoring was strongly correlated with IFR (P = 0.0001) and PPR (P = 0.0001). Within the tumors classified as highly amplified by visual examination, quantitation of the degree of amplification fluorescence signal was possible using image analysis.

CONCLUSIONS

Cytologic specimens were a suitable and representative source of materials for detection and quantitation of HER-2/neu gene amplification by FISH and image analysis. Cancer (Cancer Cytopathol)

Signal to noise analysis of multiple color fluorescence imaging microscopy

BACKGROUND

Various approaches that were recently developed demonstrate the ability to simultaneously detect all human (or other species) chromosomes by using combinatorial labeling and fluorescence in situ hybridization (FISH). With the growing interest in this field, it is important to develop tools for optimizing and estimating the accuracy of different experimental methods.

METHODS

We have analyzed the principles of multiple color fluorescence imaging microscopy. First, formalism based on the physical principles of fluorescence microscopy and noise analysis is introduced. Next, a signal to noise (S/N) analysis is performed and summarized in a simple accuracy criterion. The analysis assumes shot noise to be the dominant source of noise.

RESULTS

The accuracy criterion was used to calculate the S/N of multicolor FISH (M-FISH), spectral karyotyping, ratio imaging, and a method based on using a set of broad band filters. Spectral karyotyping is tested on various types of samples and shows accurate classifications. We have also tested classification accuracy as a function of total measurement time.

CONCLUSIONS

The accuracy criterion that we have developed can be used for optimizing and analyzing different multiple color fluorescence microscopy methods. The assumption that shot noise is dominant in these measurements is supported by our measurements.

Comparison of automated and manual analysis of interphase in situ hybridization signals in tissue sections and nuclear suspensions

In this study we compared visual and automated analyses of interphase in situ hybridization (ISH) signals in five prostatic tumor specimens and one normal prostate sample, both in tissue sections and nuclear suspensions. The advantage of tissue sections is preservation of tissue morphology allowing precise analysis of tumor cells only. The advantage of nuclear suspensions is easier access to automated analysis, due to their disaggregated and dispersed cellular appearance. The samples were hybridized with probes for the (peri)centromeric regions of chromosome 1 and Y. The number of ISH signals per nucleus was counted both manually and automatically by means of a commercially available image analysis system. After image analysis the results were interactively corrected using a gallery display. The automatic and manual counts, before and after interactive correction, were then statistically evaluated. We found no significant differences in overall distributions between the automated and the manual counts, before as well as after correction. This was observed for both tissue sections and cellular suspensions. It is therefore concluded that automated analysis of ISH signals is feasible in both nuclear suspensions and in tissue sections, despite a low percentage of nuclei that could be measured on the latter.

Robert Feulgen Prize Lecture 1995. Electronic light microscopy: present capabilities and future prospects

Electronic light microscopy involves the combination of microscopic techniques with electronic imaging and digital image processing, resulting in dramatic improvements in image quality and ease of quantitative analysis. In this review, after a brief definition of digital images and a discussion of the sampling requirements for the accurate digital recording of optical images, I discuss the three most important imaging modalities in electronic light microscopy--video-enhanced contrast microscopy, digital fluorescence microscopy and confocal scanning microscopy--considering their capabilities, their applications, and recent developments that will increase their potential. Video-enhanced contrast microscopy permits the clear visualisation and real-time dynamic recording of minute objects such as microtubules, vesicles and colloidal gold particles, an order of magnitude smaller than the resolution limit of the light microscope. It has revolutionised the study of cellular motility, and permits the quantitative tracking of organelles and gold-labelled membrane bound proteins. In combination with the technique of optical trapping (optical tweezers), it permits exquisitely sensitive force and distance measurements to be made on motor proteins. Digital fluorescence microscopy enables low-light-level imaging of fluorescently labelled specimens. Recent progress has involved improvements in cameras, fluorescent probes and fluorescent filter sets, particularly multiple bandpass dichroic mirrors, and developments in multiparameter imaging, which is becoming particularly important for in situ hybridisation studies and automated image cytometry, fluorescence ratio imaging, and time-resolved fluorescence. As software improves and small computers become more powerful, computational techniques for out-of-focus blur deconvolution and image restoration are becoming increasingly important. Confocal microscopy permits convenient, high-resolution, non-invasive, blur-free optical sectioning and 3D image acquisition, but suffers from a number of limitations. I discuss advances in confocal techniques that address the problems of temporal resolution, spherical and chromatic aberration, wavelength flexibility and cross-talk between fluorescent channels, and describe new optics to enhance axial resolution and the use of two-photon excitation to reduce photobleaching. Finally, I consider the desirability of establishing a digital image database, the BioImage database, which would permit the archival storage of, and public Internet access to, multidimensional image data from all forms of biological microscopy. Submission of images to the BioImage database would be made in coordination with the scientific publication of research results based upon these data.(ABSTRACT TRUNCATED AT 400 WORDS)

Methods for cell proliferation analysis by fluorescent image cytometry

Methods were developed for multimodal microscopic image analysis in order to identify and analyze one cell type under various microscopic conditions. Our purpose was to quantify both total DNA content using propidium iodide (PI) stain and S-phase fraction using the bromodeoxyuridine (BrdUrd) incorporation technique in cell population subsets. The model chosen was plasma cells in bone marrow triply labelled with fluorescein isothiocyanate (FITC) for intracytoplasmic immunoglobulins, with amino-methylcoumarin-acetate (AMCA) for BrdUrd, and with PI for DNA. Image analysis included three phases. First, plasma cells were recognized on FITC images, and the centroid positions were stored. Second, plasma cell nuclei were geodesically reconstructed from these stored positions using PI images in which DNA content was measured, and the nuclear mask outlines were stored. Third, BrdUrd incorporation level of plasma cells was measured on AMCA images inside PI nuclei masks and stored. Image DNA vs. BrdUrd scatterplots were obtained for cells selected according to the expression of intracytoplasmic immunoglobulin. Thus, both ploidy and proliferation could be independently evaluated on a subset of the cellular population.

Rapid fluorescence in situ hybridization with repetitive DNA probes: quantification by digital image analysis

Fluorescence in situ hybridization (FISH) has become an important tool not only in cytogenetic research but also in routine clinical chromosome diagnostics. Here, results of a quantification of fluorescence signals after in situ hybridization with repetitive DNA probes are reported using a non-enzymatic hybridization technique working with a buffer system not containing any formamide or equivalent chemical denaturing agents. Following simultaneous denaturation of both cells and DNA probes, the renaturation time was reduced to less than 30 min. For one of the DNA probes reasonable FISH-signals were even achieved after about 30 s renaturation time. In addition, the number of washing steps was reduced drastically. As a model system, two repetitive DNA probes (pUC 1.77, D15Z1) were hybridized to human metaphase spreads and interphase nuclei obtained from peripheral blood lymphocytes. The probes were labelled with digoxigenin and detected by FITC-anti-digoxigenin. The hybridization time was reduced step by step and the resulting fluorescence signals were examined systematically. For comparison the pUC 1.77 probe was also hybridized according to a FISH protocol containing 50% formamide. By renaturation for 2 h and overnight two FISH signals per nucleus were obtained. Using shorter renaturation times, no detectable FISH signals were observed. Quantification of the FISH signals was performed using a fluorescence microscope equipped with a cooled colour charge coupled device (CCD) camera. Image analysis was made interactively using a commercially available software package running on a PC (80486). For the pUC 1.77 probe the major binding sites (presumptive chromosomes 1) were clearly distinguished from the minor binding sites by means of the integrated fluorescence intensity. For the two (pUC 1.77) or four (D15Z1) brightest spots on the metaphase spreads and in the interphase nuclei hybridized without formamide, integrated fluorescence intensity distributions were measured for different renaturation times (0.5, 15, 30 min). The intra-nuclear variation in the intensity of the two brightest in situ hybridization spots appeared to be slightly higher (CV between 16 and 32%) than the corresponding variation in the metaphase spreads (CV between 10 and 19%). For the D15Z1 probe FISH signals were detected after hybridization without formamide and 15 min and 30 min renaturation. Always four bright spots were visible and tentatively assigned on the metaphase spreads (presumptive chromosome 15 and 9). The intensity variation of each pair of homologues in a metaphase spread showed a CV of 14 or 15%, respectively, for the presumptive chromosome 15, and 8 or 9%, respectively, for the presumptive chromosome 9.

New methods in cytogenetics

Developments in the technique of fluorescence in situ hybridization (FISH) now permit hybridization of sequences ranging from 1 kb to whole genomes. The technique can be used in applications from coarse mapping of whole chromosomes to high-resolution analysis of extended strands of DNA. The complexity, and hence the coverage, of 'paints' prepared by amplification is being improved to the extent that such methods are used in cloning strategies for the generation of region-specific probes. Interphase analysis and comparative genomic hybridization are becoming important tools in cancer cytogenetics, and the potential for routine analysis of fetal cells obtained from maternal blood may provide a fresh approach to prenatal cytogenetic screening. Functional studies of gene activity and nuclear organization are now also possible.

Laser scanning confocal microscopy and quantitative microscopy with a charge coupled device camera improve detection of human papillomavirus DNA revealed by fluorescence in situ hybridization

Epithelial cervical CaSki, SiHa and HeLa cells containing respectively 600 copies of human papillomavirus (HPV) DNA type 16, 1-2 copies of HPV DNA type 16 and 10-50 copies of HPV DNA type 18 were used as model to detect different quantities of integrated HPV genome. The HPV DNA was identified on cell deposits with specific biotinylated DNA probes either by enzymatic in situ hybridization (EISH) or fluorescence in situ hybridization (FISH) involving successively a rabbit anti-biotin antibody, a biotinylated goat anti-rabbit antibody and streptavidin-alkaline phosphatase complex or streptavidin-fluorescein isothiocyanate complex. With brightfield microscopy and EISH, hybridization spots were observed in CaSki and HeLa cells but hardly any in SiHa cells. With fluorescence microscopy and FISH, hybridization spots were clearly seen only on CaSki cell nuclei. In an attempt to improve the detection of low quantities of HPV DNA signals revealed by FISH, laser scanning confocal microscopy (LSCM) and quantitative microscopy with an intensified charge coupled device (CCD) camera were used. With both LSCM and quantitative microscopy, as few as 1-2 copies of HPV DNA were detected and found to be confined to cell nuclei counterstained with propidium iodide. Under Nomarski phase contrast, a good preservation of the cell structure was observed. With quantitative microscopy, differences in the number, size, total area and integrated fluorescence intensity of hybridization spots per nucleus were revealed between CaSki, SiHa and HeLa cells.(ABSTRACT TRUNCATED AT 250 WORDS)

Statistical methods in interphase cytogenetics: an experimental approach

In situ hybridization (ISH) techniques on interphase cells, or interphase cytogenetics, have powerful potential clinical and biological applications, such as detection of minimal residual disease, early relapse, and the study of clonal evolution and expansion in neoplasia. Much attention has been paid to issues related to ISH data acquisition, i.e., the numbers, colors, intensities, and spatial relationships of hybridization signals. The methodology concerning data analysis, which is of prime importance for clinical applications, however, is less well investigated. We have studied the latter for the detection of small monosomic and trisomic cell populations using various mixtures of human female and male cells. With a chromosome X specific probe, the male cells stimulated monosomic subpopulations of 0, 1, 5, 10, 50, 90, 95, 99, and 100%. Analogously, when a (7 + Y) specific probe combination was used, containing a mixture of chromosome No. 7 and Y-specific DNA, the male cells simulated trisomic cell populations. Probes specific for chromosomes Nos. 1, 7, 8, and 9 were used for estimation of ISH artifacts. Three statistical tests, the Kolmogorov-Smirnov test, the multiple-proportion test, and the z'-max test, were applied to the empirical data using the control data as a reference for ISH artifacts. The Kolmogorov-Smirnov test was found to be inferior for discrimination of small monosomic or trisomic cell populations. The other two tests showed that when 400 cells were evaluated, and using selected control probes, monosomy X could be detected at a frequency of 5% aberrant cells, and trisomy 7 + Y at a frequency of 1%.(ABSTRACT TRUNCATED AT 250 WORDS)

Order of human hematopoietic growth factor and receptor genes on the long arm of chromosome 5, as determined by fluorescence in situ hybridization

A large number of human hematopoietic growth factor and growth factor receptor genes are localized at the long arm of chromosome 5. In this study we have determined the order of the human interleukin-3 (IL3), IL4, IL5, IL9, granulocyte macrophage-colony stimulating factor (GMCSF), and the MCSF receptor (MCSFR) genes by fluorescence in situ hybridization. Genomic lambda-clones were isolated using polymerase chain reaction (PCR)-generated probes and labeled with biotin and/or digoxigenin. These clones were first individually mapped: IL3, IL4, IL5, IL9, and GMCSF to 5q31 and MCSFR to 5q33. For ordering purposes multiple probe combinations were hybridized to metaphase chromosomes and interphase nuclei. The interphase hybridizations were evaluated by image analysis, which also allowed the measurement of the physical distance between the hybridization spots. These mapping results suggest the gene order 5cen-IL3/GMCSF-IL5-IL4-IL9-MCSFR+ ++-qter. The known genomic distance between the IL4 and IL5 genes allowed the estimation of the physical distances between the 5q31-specific genes, demonstrating that they are all within about 1.5 Mb of DNA.