Nuclear morphometry and DNA densitometry of human gliomas by image analysis

Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer

Single cell RNA sequencing has emerged as a powerful tool for resolving transcriptional diversity in tumors, but is limited by throughput, cost and the ability to process archival frozen tissue samples. Here we develop a high-throughput 3' single-nucleus RNA sequencing approach that combines nanogrid technology, automated imaging, and cell selection to sequence up to ~1800 single nuclei in parallel. We compare the transcriptomes of 485 single nuclei to 424 single cells in a breast cancer cell line, which shows a high concordance (93.34%) in gene levels and abundance. We also analyze 416 nuclei from a frozen breast tumor sample and 380 nuclei from normal breast tissue. These data reveal heterogeneity in cancer cell phenotypes, including angiogenesis, proliferation, and stemness, and a minor subpopulation (19%) with many overexpressed cancer genes. Our studies demonstrate the utility of nanogrid single-nucleus RNA sequencing for studying the transcriptional programs of tumor nuclei in frozen archival tissue samples.Single cell RNA sequencing is a powerful tool for understanding cellular diversity but is limited by cost, throughput and sample preparation. Here the authors use nanogrid technology with integrated imaging to sequence thousands of cancer nuclei in parallel from fresh or frozen tissue.

Prognostic Significance of Histologic and Cytometric Factors in Supratentorial Astrocytomas

There is no agreement in the literature on selecting the principal parameters that contribute to explain the different outcomes in supratentorial astrocytomas. Hence, we designed a global study using morphologic parameters and DNA quantification measured by flow cytometry (FCM) and image analysis (IA) on 116 tumors contrasting the results with patients' survival in a univariate and multivariate study. In the Kaplan-Meier study besides the necrosis (p<0.0001) there were other parameters with significant prognostic value such as nuclear atypia (p=0.0001), presence of anaplastic large cells (p=0.0003) and the morphology of the tumor vessels (p=0.009). Proliferative parameters like mitotic index, cell density, the cell fraction in S phase or G2/M phase, and the proliferative phase measured by image analysis (IA) or ploidy patterns did not influence the prognosis. In the Cox's proportional hazards model the presence of necrosis remained as the only prognostic predictor (p=0.001) and increased 5.9 times the risk of mortality in gliomas.

Utility of nuclear morphometry in predicting grades of diffusely infiltrating gliomas

Introduction. The ability to reliably differentiate neoplastic from nonneoplastic specimen and ascertain the tumour grade of diffusely infiltrating gliomas (DIGs) is often challenging. Aims and Objective. To evaluate utility of image morphometry in identifying DIG areas and to predict tumour grade. Materials and Methods. Image morphometry was used to analyze the following nuclear features of 30 DIGs and 10 controls (CG): major axis of nucleus (MAJX), minor axis of nucleus (MINX), nuclear area (NA), nuclear perimeter (NP), nuclear roundness (NR), nuclear density (ND), and percentage of total nuclear area (%TNA). Results. Statistically significant differences in all parameters, except NR, were observed between all groups, with strong positive correlation with tumour grade (r > 0.7). The mean values were maximum for HGG and minimum for CG. For NR, the difference between CG/HGG was statistically significant, unlike CG/LGG and LGG/HGG. It was observed that NA distributions for CG were nearly Gaussian type with smaller range, while gliomas displayed erratic pattern with larger range. NA and NP exhibited strong positive correlation with ND. Conclusion. Image morphometry has immense potential in being a powerful tool to distinguish normal from neoplastic tissue and also to differentiate LGG from HGG cases, especially in tiny stereotactic biopsies.

Computer-aided Image Processing of Angiogenic Histological

This article reviews the questions regarding the image evaluation of angiogeneic histological samples, particularly the ovarian epithelial cancer. Review is focused on the principles of image analysis in the field of histology and pathology. The definition, classification, pathogenesis and angiogenesis regulation in the ovaries are also briefly discussed. It is hoped that the complex image analysis together with the patient's clinical parameters will allow an acquiring of a clear pathogenic picture of the disease, extension of the differential diagnosis and become a useful tool for the evaluation of drug effects. The challenge of the assessment of angiogenesis activity is the heterogeneity of several objects: parameters derived from patient's anamnesis as well as of pathology samples. The other unresolved problems are the subjectivity of the region of interest selection and performance of the whole slide scanning.

KEYWORDS

Angiogenesis; Image processing; Microvessel density; Cancer; Pathology.

GFAP and alpha1a-AR staining and nuclear morphometry of oligodendrogliomas by confocal microscopy and image analysis: useful parameters for predicting survival in oligodendrogliomas

Objective

This study attempts to evaluate the GFAP and alpha1a-AR staining and morphometrical nuclear features of oligodendrogliomas and their prognostic implications as compared to present histopathology classification and their survival outcome.

Study design

Surgical specimens from 24 patients with oligodendrogliomas during the period 1981–2000 were included. These cases were classified into two groups defined by the grade of the neoplasm: Group I: oligodendrogliomas grade II; Group II: oligodendrogliomas grade III and two groups based on the outcome status: Group of the alive cases and group of the death cases. Death rate for the groups were obtained by patients' charts. Descriptive statistics were used to examine the groups with respect to the morphometrical nuclear variables; area, perimeter, aspect, axes (major and minor), diameters (max, mean and min.), radius (max. and min.) margination, ratio of perimeter-area, roundness and sizes (length and width). In addition, an immunofluorescence method for GFAP and 1a-AR were performed and their area, density and intensity of staining were analyzed.

Results

Semiautomated quantitative morphometrical results showed that the variables of nuclear area (GII 48.87 μm2 vs. GIII 43.45 μm2 p-value = 0.02), aspect (GII 1.39 vs. GIII 1.55 p-value = 0.03), axis minor (GII 6.66 μm vs. GIII 6.01 μm p-value = 0.003), diameter minor (GII 5.93 μm vs. GIII 5.27 μm p-value = 0.002), radius minor (GII 2.64 μm vs. GIII 2.25 μm p-value = 0,003), perimeter-area (GII 0.0007 vs. GIII 0.0006 p-value = 0.04), size width (GII 6.60 μm vs. GIII 5.96 μm p-value = 0,003), and density of alpha1a-AR staining (GII 121.38 vs. GIII 146.03 p-value = 0.05) were statistically significant in regard of grade; and that the sum of density of GFAP (p-value = 0.01) and the intensity of alpha1a-AR (p-value = 0.01) were statistically significant in predicting survival.

Conclusion

These results suggest that some nuclear morphometrical features and the GFAP and alpha1a-AR immunofluorescence staining may be useful parameters for predicting survival in oligodendrogliomas.

Histomorphometry of brain tumours

In this review, the results of previous histomorphometric studies of brain tumours are summarized and discussed with respect to their potential value for diagnostic purposes and for tumour research. In the majority of these studies, human gliomas were investigated. In a few studies, human meningiomas and other human or experimental tumour types were investigated. A computerized image analysis system was used for the morphometric analyses in most studies. The three main histologic structures examined were tumour cell nuclei, nucleolar organizer regions and tumour vessels. The current state of knowledge provides evidence that a diagnostic benefit could be provided by histomorphometric investigations of brain tumours, especially for grading of gliomas and with respect to independent prognostic information. Additional studies are necessary to delineate the spectrum of histomorphometric parameters and the investigation of their prognostic significance for cases with the same tumour type and tumour grade. Together with many recently published observations in this field, this review shows that histomorphometry is an important approach towards the investigation of brain tumour biology.

Copper/zinc superoxide dismutase, nuclear DNA content, and progression in human gliomas

To our knowledge, there have been no previous reports regarding the immunohistochemistry and image cytometry to demonstrate elevated Copper/zinc superoxide dismutase (Cu/Zn SOD) expression and numbers of the clonal cells in human gliomas. In 30 well-studied patients with gliomas, immunoreactivity for Cu/Zn SOD and cytometric evidence of DNA ploidy in the G2M cell cycle phase were evaluated from routinely prepared tissue blocks. Cu/Zn SOD positive tumor cells were shown in 8 of 13 glioblastomas (mean quantitative immunoreactivity SOD score; 1), 3 of 8 anaplastic gliomas (score; 0.6), and none of 9 low-grade gliomas. The differences in SOD score was not significant. In hypertetraploid glioblastomas, time to progression was shorter than for hypertetraploid of anaplastic gliomas, while SOD scores were not significantly different. The same relationship held for tetraploid specimens. Considering variables in combination, hypertetraploid gliomas with high SOD immunoreactivity showed a significantly short time to progression (p < 0.05) (1-5 months after radiotherapy and chemotherapy) compared with hypertetraploid, low-SOD immunoreactivity gliomas or tetraploid, low-SOD immunoreactivity gliomas. The tumor cells with high SOD activity also tended to be resistant for radiotherapy and anticancer drugs. Those results were suggested that the high grade glioma with a single clone and low SOD activity were effective for radiotherapy associated with oxidative stress, and that the high grade gliomas with more than two clones and high SOD activity were very less effective for same therapy. Cu/Zn SOD activity and the degree of the clonality in human gliomas should be very important factors influencing a choice of oxidative cytotoxic treatment.