Grading schemes for breast cancer diagnosis are predominantly based on pathologists' qualitative assessment of altered nuclear structure from 2D brightfield microscopy images. However, cells are three-dimensional (3D) objects with features that are inherently 3D and thus poorly characterized in 2D. Our goal is to quantitatively characterize nuclear structure in 3D, assess its variation with malignancy, and investigate whether such variation correlates with standard nuclear grading criteria.
Methodology
We applied micro-optical computed tomographic imaging and automated 3D nuclear morphometry to quantify and compare morphological variations between human cell lines derived from normal, benign fibrocystic or malignant breast epithelium. To reproduce the appearance and contrast in clinical cytopathology images, we stained cells with hematoxylin and eosin and obtained 3D images of 150 individual stained cells of each cell type at sub-micron, isotropic resolution. Applying volumetric image analyses, we computed 42 3D morphological and textural descriptors of cellular and nuclear structure.
Principal Findings
We observed four distinct nuclear shape categories, the predominant being a mushroom cap shape. Cell and nuclear volumes increased from normal to fibrocystic to metastatic type, but there was little difference in the volume ratio of nucleus to cytoplasm (N/C ratio) between the lines. Abnormal cell nuclei had more nucleoli, markedly higher density and clumpier chromatin organization compared to normal. Nuclei of non-tumorigenic, fibrocystic cells exhibited larger textural variations than metastatic cell nuclei. At p<0.0025 by ANOVA and Kruskal-Wallis tests, 90% of our computed descriptors statistically differentiated control from abnormal cell populations, but only 69% of these features statistically differentiated the fibrocystic from the metastatic cell populations.
Conclusions
Our results provide a new perspective on nuclear structure variations associated with malignancy and point to the value of automated quantitative 3D nuclear morphometry as an objective tool to enable development of sensitive and specific nuclear grade classification in breast cancer diagnosis.
Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, is an immune disorder that causes chronic inflammation of the gastrointestinal tract. There is an unmet need for effective pharmacological treatments as current standard therapies including aspirin derivatives and corticosteroids often fail to control the disease. For a significant portion, 30% or more, of patients, surgical removal of the affected bowel is required at some point in their disease course to address complications of bleeding, infections with sepsis, toxic megacolon among many others. There are also associated severe complications involving many other organs due to the underlying immune mediated reactions. In this study, PEGylated Serp-1 (PEGSerp-1) a modified Myxomavirus-derived serine protease inhibitor that binds and inhibits serine proteases in the coagulation and complement cascades, is evaluated in a pre-clinical model of IBD. Experimental colitis was induced in male C57BL/6J mice by oral administration of dextran sulfate sodium (DSS). In mice with acute colitis induced by exposure to 5% DSS for 6 days, daily treatment with PEGSerp-1 significantly improved survival. When initiation of treatment was delayed by 7 days in this acute colitis model, PEGSerp-1 treatment improved markers of disease severity and significantly reduced inflammation in the colon. PEGSerp-1 is an effective treatment of acute DSS-induced colitis when used as a preventative or delayed treatment.