Effect of Hydrocortisone on the Proliferation of Cultured Skin Fibroblasts from Normal Individuals and Individuals at High Risk of Colon Cancer

Pathobiology ◽  
1983 ◽  
Vol 51 (6) ◽  
pp. 308-314
Author(s):  
Levy Kopelovich
1980 ◽  
Vol 26 (3) ◽  
pp. 301-307 ◽  
Author(s):  
Levy Kopelovich ◽  
Martin Lipkin ◽  
William A. Blattner ◽  
Joseph F. Fraumeni ◽  
Henry T. Lynch ◽  
...  

1981 ◽  
Vol 61 (6) ◽  
pp. 729-735 ◽  
Author(s):  
J. J. Hopwood ◽  
Helen Elliott

1. Sulphamidase activity was assayed by incubation of the radiolabelled disaccharide O-(α-2-sulphamino-2-deoxy-d-glucopyranosyl)-(1 → 3)-l-[6-3H]idonic acid with homogenates of leucocytes and cultured skin fibroblasts and concentrates of urine derived from normal individuals, patients affected with sulphamidase deficiency disorder [mucopolysaccharidosis type IIIA (MPS IIIA): the Sanfilippo A syndrome], parents of such patients and patients affected with other mucopolysaccharidoses and lysosomal enzyme deficiencies. 2. the assay clearly distinguished affected homozygotes from normal controls, heterozygotes and other mucopolysaccharidoses types. 3. Sulphamidase displayed remarkable thermal stability; reaction rates were constant for at least 24 h at 60°C for leucocyte and 20 h at 37°C for cultured fibroblast preparations. Apparent Km values for fibroblast sulphamidase were 71 μmol/l at 37°C and 100 μmol/l at 50°C; the corresponding Vmax. values were 21 and 71 pmol min−1 mg−1 of protein respectively. an incubation temperature of 60h°C was used for the routine assay of sulphamidase activity in leucocytes, urine and amniotic supernatant preparations. the specific activities of fibroblast and amniotic cell sulphamidase, assessed at incubation temperatures of 37°C, were more than 10-fold the leucocyte enzyme activity at 60°C. 4. We recommend the use of radiolabelled disaccharide substrate for the assay of sulphamidase in leucocytes, skin fibroblasts and urine, for the routine enzymic detection of the sulphamidase deficiency disorder of the Sanfilippo A syndrome.


1981 ◽  
Vol 26 (1) ◽  
pp. 28-40 ◽  
Author(s):  
Jun Oizumi ◽  
Tullio A. Giudici ◽  
Won G. Ng ◽  
Kenneth N.F. Shaw ◽  
George N. Donnell

Author(s):  
S. E. Miller ◽  
G. B. Hartwig ◽  
R. A. Nielsen ◽  
A. P. Frost ◽  
A. D. Roses

Many genetic diseases can be demonstrated in skin cells cultured in vitro from patients with inborn errors of metabolism. Since myotonic muscular dystrophy (MMD) affects many organs other than muscle, it seems likely that this defect also might be expressed in fibroblasts. Detection of an alteration in cultured skin fibroblasts from patients would provide a valuable tool in the study of the disease as it would present a readily accessible and controllable system for examination. Furthermore, fibroblast expression would allow diagnosis of fetal and presumptomatic cases. An unusual staining pattern of MMD cultured skin fibroblasts as seen by light microscopy, namely, an increase in alcianophilia and metachromasia, has been reported; both these techniques suggest an altered glycosaminoglycan metabolism An altered growth pattern has also been described. One reference on cultured skin fibroblasts from a different dystrophy (Duchenne Muscular Dystrophy) reports increased cytoplasmic inclusions seen by electron microscopy. Also, ultrastructural alterations have been reported in muscle and thalamus biopsies from MMD patients, but no electron microscopical data is available on MMD cultured skin fibroblasts.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2808
Author(s):  
Tzong-Yun Tsai ◽  
Jeng-Fu You ◽  
Yu-Jen Hsu ◽  
Jing-Rong Jhuang ◽  
Yih-Jong Chern ◽  
...  

(1) Background: The aim of this study was to develop a prediction model for assessing individual mPC risk in patients with pT4 colon cancer. Methods: A total of 2003 patients with pT4 colon cancer undergoing R0 resection were categorized into the training or testing set. Based on the training set, 2044 Cox prediction models were developed. Next, models with the maximal C-index and minimal prediction error were selected. The final model was then validated based on the testing set using a time-dependent area under the curve and Brier score, and a scoring system was developed. Patients were stratified into the high- or low-risk group by their risk score, with the cut-off points determined by a classification and regression tree (CART). (2) Results: The five candidate predictors were tumor location, preoperative carcinoembryonic antigen value, histologic type, T stage and nodal stage. Based on the CART, patients were categorized into the low-risk or high-risk groups. The model has high predictive accuracy (prediction error ≤5%) and good discrimination ability (area under the curve >0.7). (3) Conclusions: The prediction model quantifies individual risk and is feasible for selecting patients with pT4 colon cancer who are at high risk of developing mPC.


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