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Objective: To investigate the mutual relation of the changes among multiple genes in human gastric carcinomas (GC). Methods: By means of software package about social science (SPSS) and statistics analysis system (SAS), the mutual relation of the expression of oncogenes (p21, p185) and tumor suppressor genes (RB, p53, p16, nm23) in 78 GC is discussed. Results: There existed correlations among some genes, i.e., p21 and p185, RB and p16, p16 and p53 as well as p16 and nm23; It is relatively uncommon that the carcinogenesis of GC simultaneously related to more changes of multiple genes; The inactivation of p16 gene was independent factor to predict the metastasis of lymphaden, the mutation of p53 gene and the inactivation of p16 gene were independent factors to predict the invasive depth. Conclusion: There are not only the changes of multiple genes including oncogenes activation and tumor suppressor genes inactivation, but also they may play an important role in carcinogenesis of GC through mutual cooperation. The inactivation of p16 gene is one of the most useful index to predict the prognosis of patient with GC.
Objective: To investigate the mutual relation of the changes among multiple genes in human gastric carcinomas (GC). Methods: By means of software package about social science (SPSS) and statistics analysis system (SAS), the mutual relation of the expression of oncogenes Results (p21, p185) and tumor suppressor genes (RB, p53, p16, nm23) in 78 GC are discussed. And nm23; It is relatively uncommon that the carcinogenesis of GC sequences related to more changes of multiple genes; The inactivation of p16 gene was independent factor to predict the metastasis of lymphaden, the mutation of p53 gene and the inactivation of p16 gene were independent factors To predict the invasive depth. Conclusion: There are not only the changes of multiple genes including oncogenes activation and tumor suppressor genes inactivation, but also they may play an important role in carcinogenesis of GC thr Ust mutual cooperation. The inactivation of p16 gene is one of the most useful index to predict the prognosis of patient with GC.