Isotropic 3D nuclear morphometry of normal, fibrocystic and malignant breast epithelial cells reveals new structural alterations

• Published in: PloS one 2012-01, Vol.7 (1), p.e29230-e29230
• Main Authors: Nandakumar, Vivek, Kelbauskas, Laimonas, Hernandez, Kathryn F, Lintecum, Kelly M, Senechal, Patti, Bussey, Kimberly J, Davies, Paul C W, Johnson, Roger H, Meldrum, Deirdre R
• Format: Article
• Language: English
• Subjects: Architectural engineering; Automation; Biology; Biomarkers; Breast - pathology; Breast cancer; Breast Neoplasms - pathology; Cancer; Cancer diagnosis; Cancer metastasis; Cell growth; Cell Line; Cell Nucleus - pathology; Cells (Biology); Cellular structure; Chromatin; Computation; Computed tomography; Cytopathology; Cytoplasm; Diagnosis; Engineering; Enzymes; Epithelial cells; Epithelial Cells - pathology; Epithelium; Evaluation; Female; Fibrocystic Breast Disease - pathology; Gene expression; Humans; Image contrast; Imaging, Three-Dimensional - methods; Kruskal-Wallis test; Life sciences; Lung cancer; Malignancy; Medical diagnosis; Medical imaging; Medical research; Medicine; Metastases; Metastasis; Microscopy; Morphology; Morphometry; Neoplasm Metastasis; Nuclear structure; Nuclei; Nuclei (cytology); Nucleoli; Populations; Quality; Three dimensional imaging; Tumors; Variance analysis; Variation
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0029230

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. 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. 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