Title
Quantificational and Statistical Analysis of the Differences in Centrosomal Features of Untreated Lung Cancer Cells and Normal Cells
Abbreviated Journal Title
Anal. Quant. Cytol. Histol.
Keywords
centrosome; Kolmogorov-Smirnov test; lung cancer; statistical analysis; t-test; CHROMOSOMAL INSTABILITY; OVARIAN-CANCER; BREAST-CANCER; AURORA-A; AMPLIFICATION; ABNORMALITIES; OVEREXPRESSION; PROGRESSION; ANEUPLOIDY; HYPERAMPLIFICATION; Cell Biology
Abstract
OBJECTIVE: To distinguish untreated lung cancer cells from normal cells through quantitative analysis and statistical inference of centrosomal features extracted from cell images. STUDY DESIGN: Recent research indicates that human cancer cell development is accompanied by centrosomal abnormalities, For quantitative analysis of centrosome abnormalities, high-resolution images of normal and untreated cancer lung cells were acquired. After the images were preprocessed and segmented, 11 features were extracted. Correlations among the features were calculated to remove redundant features. Ten nonredundant features were selected for further analysis. The mean values of 10 centrosome features were compared between cancer and normal cells by the two-sample t-test; distributions of the 10 features of cancer and normal centrosomes were compared by the two-sample Kolmogorov-Smirnov test. RESULTS: Both tests reject the null hypothesis; the means and distributions of features coincide for normal and cancer cells. The 10 centrosome features separate normal from cancer cells at the 5% significance level and show strong evidence that all 10 features exhibit major differences between normal and cancer cells. CONCLUSION: Centrosomes from untreated cancer and normal bronchial epithelial cells can be distinguished through objective measurement and quantitative analysis, suggesting a new approach for lung cancer detection, early diagnosis and prognosis. (Anal Quant Cytol Histol 2010;32:280-290)
Journal Title
Analytical and Quantitative Cytology and Histology
Volume
32
Issue/Number
5
Publication Date
1-1-2010
Document Type
Article
Language
English
First Page
280
Last Page
290
WOS Identifier
ISSN
0884-6812
Recommended Citation
"Quantificational and Statistical Analysis of the Differences in Centrosomal Features of Untreated Lung Cancer Cells and Normal Cells" (2010). Faculty Bibliography 2010s. 814.
https://stars.library.ucf.edu/facultybib2010/814
Comments
Authors: contact us about adding a copy of your work at STARS@ucf.edu