Biomedical subjects

Eric J Kort

Publications and source records attributed to Eric J Kort.

3 recordsLinked to original sources

PubMed2003

Quantifying cell scattering: the blob algorithm revisited.

BACKGROUND: A method to objectively quantify cell scattering would permit quantitative evaluation of therapies and compounds intended to affect this physiologic process, which has relevance to normal (e.g., development) and pathologic (e.g., metastasis) events. METHODS: A grid-based modified blob analysis was performed on a set of images of Madin-Darby Canine Kidney (MDCK) cells to quantify the following parameters: the number of cellular clusters in each image, the size of the clusters in terms of pixel counts, and the number of cells in each cluster. These parameters were used as measures of cell scattering and were compared with subjective assessments of scattering made by three experienced examiners. RESULTS: The quantitative parameters correlated strongly to subjective assessments. The algorithm displayed a different concept of "clustering" than the examiners and consistently identified more clusters than did the examiners. There was close agreement in the number of cells counted. All three quantitative parameters correlated strongly to the subjective scattering scores, as follows: cluster count (r(s) = -0.765 to -0.789, P < 0.0001), cluster size in pixels (r(s) = 0.838 to 0.845, P < 0.0001), and cluster size in cells (r(s) = 0.758 to 0.804, P < 0.0001). The parameters were continuous, providing greater resolving power than ordinal subjective scores. CONCLUSIONS: The findings confirmed that our algorithm reproduces the traditional classification of scattering with improved resolution, quantification, and objectivity.

Algorithms↗

PubMed2003

A human tissue and data resource: an overview of opportunities, challenges, and development of a provider/researcher partnership model.

As we continue to strive to apply the findings of in vitro and animal studies to human disease and transition from genomics to proteomics, we will experience an ever-increasing need for human tissues. A web based system that provides access to tissues repositories and associated data will best facilitate the access to these vital resources and the application of research information to human disease treatment. There are organizational and design requirements that must be addressed in the implementation of the infrastructures that are needed to implement such a system, with special attention paid to the protection of patient anonymity. This report describes the implementation of a prototype human tissue network in the hope of encouraging implementation of similar systems among other consortia of providers and researchers.

Animals↗

PubMed2002

Met protein expression level correlates with survival in patients with late-stage nasopharyngeal carcinoma.

Met tyrosine kinase, the receptor for HGF/SF, is important in various cellular functions, including proliferation, mitogenesis, formation of branching tubules, angiogenesis, and tumor cell invasion and metastasis. However, the role of Met/HGF signaling pathway in nasopharyngeal carcinoma (NPC) has not been evaluated. In this study, we determined the expression profile and clinical correlation of Met/HGF in 66 cases of advanced NPC and the activation mechanisms of Met receptor in five NPC cell lines. Immunofluorescent staining and quantitative image analysis showed that the Met protein was expressed throughout the tumors and normal nasopharyngeal epithelia. Compared with NPC, the Met expression level was higher in columnar nasopharyngeal epithelium but lower in squamous nasopharyngeal epithelium. The normal interstitial stromal tissue expressed the lowest level of Met protein. HGF was detected mainly in the normal interstitial tissue surrounding the tumor. Met protein expression level was inversely correlated with patients' survival time; the correlation coefficient was -0.319 (P = 0.009). The mean survival time was 118 months in low Met expression group versus 52 months in high expression group (P = 0.0004). The cumulative 5-year survival rate was 77.68% in low expression group versus 38.24% in high expression group. The clinical stage was also significantly more advanced in high Met expression group. In the multivariate analysis, both clinical stage and Met protein expression level were independent prognostic indicators for patient survival. All of the five NPC cell lines tested did not express hgf mRNA but expressed met mRNA, and tyrosine phosphorylation of Met protein was mainly induced by exogenous HGF stimulation in these cells. No mutation was found in the tyrosine kinase and the juxtamembrane domains of Met receptor in the five NPC cell lines tested. These results indicate that: (a) high Met protein expression level correlates with poorer survival in late-stage NPC and serves as an independent prognostic indicator; and (b) the Met receptor in NPC is activated by its paracrine ligand HGF from the interstitial tissues rather than by an autocrine loop or its activating mutation.

Adult↗