Objective:This study aims to investigate the protein expression of CD133, CD117, and Ki-67 in human osteosarcoma tissues and explore their relationships with the clinico-pathological features and risk of osteosarcoma. Methods:Immunohistochemical method was used to examine the protein expression of CD133, CD117, and Ki-67 gene in the paraffin specimens of 55 and 20 cases of osteosarcoma and osteochondroma, respectively. SPSS17.0 statistical software was used to explore the relationships among the expressions of CD133, CD117, and Ki-67 gene and the biological behavior and prognosis of osteosarcoma. Test criterion:P<0.05 was considered statistically significant. Results:The positive expression rates of CD133, CD117, and Ki-67 were significantly higher in the osteosarcoma tissues than in the benign osteochondroma tissues, and the differences were significant (P=0.016, P=0.008, and P<0.001, respectively). The mean survival and metastasis time were shorter in the CD133 or Ki-67 positively expressed osteosarcoma patients than in those with CD133 or Ki-67 negatively expressed osteosarcoma. The differences were significant (P<0.05). The expression of CD133 and Ki-67, surgical staging, and distal metastasis were relevant to the prognosis of osteosarcoma patients. The expression of CD133 and distal metastasis are the independent risk factors that affect the prognosis of these patients. Conclusion:The positive expressions of CD133 and Ki-67 closely correlated with the occurrence and progression of osteosarcoma, and may be used as an indicator for prognosis of the cancer.

Objective:To determine the expression of miR-17-92 cluster in osteosarcoma tissue samples and explore its associa-tion with clinical significance. Methods: Quantitative polymerase chain reactiom analysis was used to examine the expression of miR-17-92 cluster in osteosarcoma tissues. Normal bone tissues from 63 patients were matched, and the relationships between the ex-pression of miR-17-92 cluster and the clinicopathological features and prognosis of osteosarcoma were explored. Results:The relative expression of miR-17-92 cluster in osteosarcoma tissues was significantly higher than those in adjacent normal tissues (P<0.05). The high expression of miR-17-92 had a significant correlation with reduced survival (P=0.027). Conclusion:The expression of miR-17-92 cluster closely correlates with the occurrence and progress of osteosarcoma and may be used as an indicator for osteosarcoma prognosis.

Objective To evaluate the geometric and dosimetric accuracy of autosegmentation software for contouring the organ-at-risk ( OAR) of esophageal cancer, and discuss its clinical feasibility. Methods A total of 10 patients were enrolled, and single and multi-template were adopted respectively to auto-delineate corresponding OARs on target CT images based on image registration. The geometric consistency including volume difference (ΔV) , dice similarity ( DSC) and position difference (Δx, Δy,Δz) between the two autosegmentation method and manual were compared using Wilcoxon signed-rank test. And the correlation between DSC and OAR volume was analyzed. In addition, to evaluate the clinical feasibility of autosegmentation, the dose distributions of all OARs were compared using Friedman test. Results The average DSC of all OARs obtained by single and multi-template were 0.82 ± 0.17 and 0.92 ± 0.54, respectively, with statistically significant difference (Z= -2.803- -2.497, P<0.05). A positive correlation between DSC of the autosegmentation and OAR volume was found by spearman analysis, and the single-template was not good enough for the spinal cord with smaller volume. The positional deviations of multi-template group were less than 0.5 cm in three directions, which were better than single-template group. The main dosimetric indexes of single-template and multiple-template were similar to manual coutours. V20 of whole lung were 23.2％, 22.4％ and 22.1％, Dmeanof whole lung were (11.3 ±4.0), (11.1 ±4.5) and (11.0 ±4.3) Gy, Dmaxof spinal cord were (40.3 ±4.8), (38.2 ±6.7) and (39.4 ± 5.3) Gy, respectively, and V30 of heart were 16.0％, 15.8％ and 15.5％, respectively. There was no statistical difference between the three methods (P>0.05), and all of the dosimetric indexes were in line with the requirements of clinical dose limits. Conclusions The autosegmentation software can achieve satisfactory precision for the OARs of the esophageal cancer patients, and the multi-template method is better than the single-template, which is more suitable for clinical application.