Background: The level of Interleukin-17 (IL-17) have been found in increased frequencies within certain tumors. However, their role in cancer biology remains controversial. This study aimed to clarify the role of IL-17 in hepatocellular carcinoma (HCC). Subjects& Methods: It included a total number of 81 subjects. They were divided into three groups: 27 subjects as control group, Group I (27 subjects HCV cirrhotic patients without HCC), Group II (27 subjects HCV cirrhotic patients with HCC) . All patients included in this study were subjected to the following: Full clinical assessment, Complete blood picture, Liver function tests, Renal function tests, Coagulation profile , HCV Antibodies, HBs Ag ,α fetoprotein and IL-17. Results: our study reported statistical significance differences (p<0.001) between the three studied group in interleukin 17 level. The highest mean of IL 17 level were found in group 2 followed by group 1 and the control group had the lowest mean level. Conclusion: IL-17 levels were increased with increasing liver disease progression and chronicity, IL-17 may play an important role in HCC immunopathogenesis in HCV cirrhotic patients. Also, its therapeutic application needs to be evaluated by in vivo studies in experimental animals aiming at future immunotherapy..

SQL Optimization is the process of choosing the most efficient way to execute SQL such as Data manipulation language (Select, Insert, Update, Delete). Relational model represents the object through the use of relations; on the other hand the main aim of ORDBMS model is to represent the special characteristics of OOP. The first model deals with the Relation & Correlated sub queries, while the second one uses collection types (Object type, Varrays, Nested table). Explain plane is used to examine exactly how oracle execute SQL statements " oracle SQL analyze" provides a facility for easily generate any explain plan . DML language (SQL) as tools for any comparison can be achieved by the statistical performance parameter (Elapsed time, CPU time, Logical block read, Physical block read …). Statistical analysis using ANOVA TABLE is used to judge between comparisons. We found that nested table was the most effective type of data, the object type was the least effective (consume lowest time of execution). We also found that increasing data size will increase any of performance data parameter until we reach size of 40% the time begins to decrease. It is found that SELECT, UPDATE and DELETE have the most influence on the performance parameter, respectively.

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