Rb Status As A Determinant Of Response To Ucn-01 In Non-Small Cell Lung Carcinoma

CLINICAL CANCER RESEARCH(1999)

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摘要
7-Hydroxystaurosporine (UCN-01), a protein kinase inhibitor in clinical development, demonstrates potent anti-neoplastic activity. To determine whether specific genetic abnormalities would modulate the response to UCN-01, a model of human non-small cell lung carcinoma (NSCLC) cell lines with differential abnormalities of p16(CDKN2), RB, and p53 was used for these studies, Cell growth was measured by the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetra-zolium bromide assay, and cell cycling was studied using flow cytometric analysis of DNA content, Changes in protein levels and phosphorylation were assessed by Western blotting, In cell lines expressing wild-type RB (A549 and Calul), UCN-01 treatment resulted in dose-dependent growth inhibition, arrest of cells in G(1), and a reduction of cells in S phase. p16(CDKN2)-null cells showed similar growth inhibition to normal fetal lung fibroblasts, UCN-01-induced growth arrest was accompanied by induction of p21(CDKN1) and shift of Rb to the hypophosphorylated state in both p53 wild-type and mutant cell lines. In contrast, UCN-01 treatment of the RB-null cell line H596 resulted in less growth inhibition, To test the role of RE in response to UCN-01, effects of treatment were examined in two human isogenic models of RB expression: the bladder cancer cell line 5637 (RB-null) and the prostate cancer cell line DU-145 (RB-mutant). In the Rb-expressing 5637 subline (RB5), UCN-01 treatment resulted in Rb hypophosphorylation and an accumulation in G(1) in contrast to the parent line. Similarly, the wild-type Rb-expressing DU-145 sublines (DU1.1 and B5) show ed increased G(1) arrest compared a with the parent cells. We conclude that UCN-01-induced G(1) arrest can occur in cells null for p53 and p16(CDKN2), and that RB status influences the ability of UCN-01 to induce a G(1) arrest. These data suggest that the molecular profile of cell cycle regulating genes in individual tumors may predict responsiveness and provide insight into optimal therapeutic application of this new antineoplastic agent.
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