The Ki67 index (KI) is a standard clinical marker for tumor proliferation;however, its application is hindered by intratumoral heterogeneity. In this study, we used digital image analysis to comprehensively analyze Ki...The Ki67 index (KI) is a standard clinical marker for tumor proliferation;however, its application is hindered by intratumoral heterogeneity. In this study, we used digital image analysis to comprehensively analyze Ki67 heterogeneity and distribution patterns in breast carcinoma. Using Smart Pathology software, we digitized and analyzed 42 excised breast carcinoma Ki67 slides. Boxplots, histograms, and heat maps were generated to illustrate the KI distribution. We found that 30% of cases (13/42) exhibited discrepancies between global and hotspot KI when using a 14% KI threshold for classification. Patients with higher global or hotspot KI values displayed greater heterogenicity. Ki67 distribution patterns were categorized as randomly distributed (52%, 22/42), peripheral (43%, 18/42), and centered (5%, 2/42). Our sampling simulator indicated analyzing more than 10 high-power fields was typically required to accurately estimate global KI, with sampling size being correlated with heterogeneity. In conclusion, using digital image analysis in whole-slide images allows for comprehensive Ki67 profile assessment, shedding light on heterogeneity and distribution patterns. This spatial information can facilitate KI surveys of breast cancer and other malignancies.展开更多
In this study,CD133+ subpopulations were isolated from 41 primary colorectal cancer tissues,the proliferation and cell cycle distribution of the cells were examined without in vitro expansion,and then compared to thos...In this study,CD133+ subpopulations were isolated from 41 primary colorectal cancer tissues,the proliferation and cell cycle distribution of the cells were examined without in vitro expansion,and then compared to those of cell lines.The detection of CD133 in colorectal cancer tissues,isolation of CD133+ and CD133-epithelial subpopulations,Ki-67/DNA multiparameter assay and cell volume analysis were flow cytometrically conducted.The results showed that Ki-67 expression was correlated with CD133 level in primary cancer tissues,while cell cycle G 2 /M phase distribution or clinicopathological characteristics was not.In addition,the CD133+ cells showed larger cell volume and higher Ki-67 expression as compared with CD133-cells.But there was no statistically significant difference in G 2 /M phase distribution between the two subpopulations.Our results demonstrated that the CD133+ subpopulation in colorectal cancer tissue contained more actively cycling and proliferating cells,which was not correlated to clinicopathological factors but might contribute to tumor progression and poor clinical outcome.展开更多
文摘The Ki67 index (KI) is a standard clinical marker for tumor proliferation;however, its application is hindered by intratumoral heterogeneity. In this study, we used digital image analysis to comprehensively analyze Ki67 heterogeneity and distribution patterns in breast carcinoma. Using Smart Pathology software, we digitized and analyzed 42 excised breast carcinoma Ki67 slides. Boxplots, histograms, and heat maps were generated to illustrate the KI distribution. We found that 30% of cases (13/42) exhibited discrepancies between global and hotspot KI when using a 14% KI threshold for classification. Patients with higher global or hotspot KI values displayed greater heterogenicity. Ki67 distribution patterns were categorized as randomly distributed (52%, 22/42), peripheral (43%, 18/42), and centered (5%, 2/42). Our sampling simulator indicated analyzing more than 10 high-power fields was typically required to accurately estimate global KI, with sampling size being correlated with heterogeneity. In conclusion, using digital image analysis in whole-slide images allows for comprehensive Ki67 profile assessment, shedding light on heterogeneity and distribution patterns. This spatial information can facilitate KI surveys of breast cancer and other malignancies.
基金supported by grants from973 program from Ministry of Science and Technology of China(No.2004CB518705,No.2009CB521802)the National Natural Sciences Foundation of China(Nos.30872472,30800569)
文摘In this study,CD133+ subpopulations were isolated from 41 primary colorectal cancer tissues,the proliferation and cell cycle distribution of the cells were examined without in vitro expansion,and then compared to those of cell lines.The detection of CD133 in colorectal cancer tissues,isolation of CD133+ and CD133-epithelial subpopulations,Ki-67/DNA multiparameter assay and cell volume analysis were flow cytometrically conducted.The results showed that Ki-67 expression was correlated with CD133 level in primary cancer tissues,while cell cycle G 2 /M phase distribution or clinicopathological characteristics was not.In addition,the CD133+ cells showed larger cell volume and higher Ki-67 expression as compared with CD133-cells.But there was no statistically significant difference in G 2 /M phase distribution between the two subpopulations.Our results demonstrated that the CD133+ subpopulation in colorectal cancer tissue contained more actively cycling and proliferating cells,which was not correlated to clinicopathological factors but might contribute to tumor progression and poor clinical outcome.
