Automatic quantification of microvessel density in urinary bladder carcinoma

An automatic algorithm for the segmentation and morphological analysis of microvessels in immunostained histological tumour sections

A fully automatic segmentation and morphological analysis algorithm for the analysis of microvessels from CD31 immunostained histological tumour sections is presented. Development of the algorithm exploited the distinctive hues of stained vascular endothelial cells, cell nuclei and background, to provide the seeds for a 'region-growing' method for object segmentation in the 3D hue, saturation, value (HSV) colour model. The segmented objects, identified as microvessels by CD31 immunostaining, were post-processed with three morphological tasks: joining separate objects that were likely to belong to a single vessel, closing objects that had a narrow gap around their periphery, and splitting objects with multiple lumina into individual vessels. The automatic segmentation was validated against a hand-segmented set of 44 images from three different SW1222 human colorectal carcinomas xenografted into mice. 96.3 ± 0.9% of pixels were found to be correctly classified. Automated segmentation was carried out on a further 53 images from three histologically distinct mouse fibrosarcomas (MFs) for morphological comparison with the SW1222 tumours. Four morphometric measurements were calculated for each segmented vessel: vascular area (VA), ratio of lumen area to vascular area (lu/VA), eccentricity (e), and roundness (ro). In addition, the total vascular area relative to tumour tissue area (rVA) was calculated. lu/VA, e and ro were found to be significantly smaller in MF tumours than in SW1222 tumours (p < 0.05; unpaired t-test). The algorithm is available through the website http://www.caiman.org.uk where images can be uploaded, processed and sent back to users. The output from CAIMAN consists of the original image with boundaries of segmented vessels overlaid, the calculated parameters and a Matlab file, which contains the segmentation that the user can use to derive further results.

Automatic identification of angiogenesis in double stained images of liver tissue

BACKGROUND

To grow beyond certain size and reach oxygen and other essential nutrients, solid tumors trigger angiogenesis (neovascularization) by secreting various growth factors. Based on this fact, several researches proposed that density of newly formed vessels correlate with tumor malignancy. Vessel density is known as a true prognostic indicator for several types of cancer. However, automated quantification of angiogenesis is still in its primitive stage, and deserves more intelligent methods by taking advantages accruing from novel computer algorithms.

RESULTS

The newly introduced characteristics of subimages performed well in identification of region-of-angiogenesis. The proposed technique was tested on 522 samples collected from two high-resolution tissues. Having 0.90 overall f-measure, the results obtained with Support Vector Machines show significant agreement between automated framework and manual assessment of microvessels.

CONCLUSION

This study introduces a new framework to identify angiogenesis to measure microvessel density (MVD) in digitalized images of liver cancer tissues. The objective is to recognize all subimages having new vessel formations. In addition to region based characteristics, a set of morphological features are proposed to differentiate positive and negative incidences.

Herbal extract of Wedelia chinensis attenuates androgen receptor activity and orthotopic growth of prostate cancer in nude mice

PURPOSE

Wedelia chinensis is a common ingredient of anti-inflammatory herbal medicines in Taiwan and southern China. Inflammation is involved in promoting tumor growth, invasion, and metastasis. This study aims to test the biological effects in vivo of W. chinensis extract on prostate cancer.

EXPERIMENTAL DESIGN

The in vivo efficacy and mechanisms of action of oral administration of a standardized extract of W. chinensis were analyzed in animals bearing a subcutaneous or orthotopic prostate cancer xenograft.

RESULTS

Exposure of prostate cancer cells to W. chinensis extract induced apoptosis selectively in androgen receptor (AR)-positive prostate cancer cells and shifted the proportion in each phase of cell cycle toward G(2)-M phase in AR-negative prostate cancer cells. Oral herbal extract (4 or 40 mg/kg/d for 24-28 days) attenuated the growth of prostate tumors in nude mice implanted at both subcutaneous (31% and 44%, respectively) and orthotopic (49% and 49%, respectively) sites. The tumor suppression effects were associated with increased apoptosis and lower proliferation in tumor cells as well as reduced tumor angiogenesis. The antitumor effect of W. chinensis extract was correlated with accumulation of the principle active compounds wedelolactone, luteolin, and apigenin in vivo.

CONCLUSION

Anticancer action of W. chinensis extract was due to three active compounds that inhibit the AR signaling pathway. Oral administration of W. chinensis extract impeded prostate cancer tumorigenesis. Future studies of W. chinensis for chemoprevention or complementary medicine against prostate cancer in humans are thus warranted.

Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics

Over the past few years, tissue microarray (TMA) technology has been established as a standard method for assessing the expression of proteins or genes across large sets of tissue specimens. It is being adopted increasingly among leading research institutions around the world and utilized in cancer research in parallel with the cDNA microarray technology. This article summarizes various aspects of cancer understanding and diagnostics in which TMA has had great impact. Although tremendous advances continue to be made to facilitate imaging and archiving of TMA specimens, automatic evaluation and quantitative analysis of TMA still remains an important challenge for modern investigators.

Effect of linomide on gut immune cell distribution and on TNF-alpha in plasma and ascites: an experimental study in the septic rat

A significant reduction of the pan T lymphocytes as well as CD4+ and CD8 subsets of cells in the gut mucosa of the septic rats has previously been demonstrated. In contrast, the populations of major histocompatibility complex (MHC) class II-positive cells and macrophages increased. The aim of this study was to evaluate if the immunomodulator Linomide influenced the immune cell distribution in the small intestinal mucosa in sepsis and, furthermore, if these changes coincide with changes in the concentration of tumor necrosis factor-alpha (TNF-alpha) in plasma or ascites. Polymicrobial sepsis was induced in rats by cecal ligation and puncture (CLP). Three different experimental groups were used: CLP, Linomide p.o. + CLP, and Linomide i.p.+ CLP, with adequate controls. Specimens were taken from the small bowel for immunohistologic staining and grading of mucosal injury. The following monoclonal antibodies were used: W3/25, OX8, R73, OX6, and ED1. All slides were examined by one "blinded" examiner. Mucosal injury was graded from 0 to 5. The immunostained tissues were also analyzed by an automatic color-based image system. All controls had a normal appearance of the mucosa (grade 0-1), whereas the septic animals had a median grade of III (II-IV) mucosal injury. Linomide i.p. + CLP decreased mucosal damage to median I (0-IV, P < 0.05). Linomide had no effects on the immune cell distribution in controls. In CLP rats, a significant reduction in both CD4+ and CD8+ T lymphocytes as well as an increased number of macrophages and MHC class II-positive cells was seen in the villi as compared with sham-operated controls (P < 0.05). Linomide attenuated these changes for CD8+ and T lymphocytes and macrophages. Sepsis caused increased concentrations of TNF-alpha in portal blood and ascites 3 h from CLP induction. This increase was attenuated by Linomide.