Objective:To investigate the expressions of KAI1 and CD44v6 in human osteosarcoma and the relationship between expressions of them and their clinic pathological features and prognosis.Methods:The expressions of KAI1 a...Objective:To investigate the expressions of KAI1 and CD44v6 in human osteosarcoma and the relationship between expressions of them and their clinic pathological features and prognosis.Methods:The expressions of KAI1 and CD44v6 in 87 samples with osteosarcoma were detected by S-P immunohistochemistry.Results:Expression of KAI1 had correlation with metastasis of osteosarcoma,and was strongly associated with differentiation of tumor cells.The expression of CD44v6 in osteosarcoma had correlation with metastasis.There was no difference between the expression of KAI1 and CD44v6.Cox model analysis showed that the prognostic factors were KAI1 expression,metastasis and Enneking surgical staging system.Conclusion:The abnormal expression of KAI1 and CD44v6 participate metastasis of osteosarcoma,KAI1 expression,metastasis and Enneking surgical staging system can be used to independently predict the prognosis of osteo-sarcoma patients.展开更多
文摘Objective:To investigate the expressions of KAI1 and CD44v6 in human osteosarcoma and the relationship between expressions of them and their clinic pathological features and prognosis.Methods:The expressions of KAI1 and CD44v6 in 87 samples with osteosarcoma were detected by S-P immunohistochemistry.Results:Expression of KAI1 had correlation with metastasis of osteosarcoma,and was strongly associated with differentiation of tumor cells.The expression of CD44v6 in osteosarcoma had correlation with metastasis.There was no difference between the expression of KAI1 and CD44v6.Cox model analysis showed that the prognostic factors were KAI1 expression,metastasis and Enneking surgical staging system.Conclusion:The abnormal expression of KAI1 and CD44v6 participate metastasis of osteosarcoma,KAI1 expression,metastasis and Enneking surgical staging system can be used to independently predict the prognosis of osteo-sarcoma patients.
