Allelic deletions of cell growth regulators during progression of bladder cancer.
Cell growth regulators include proteins of the p53 pathway encoded by the genes CDKN2A (p16, p14arf), MDM2, TP53, and CDKN1A (p21) as well as proteins encoded by genes like RB1, E2F, and MYCL. In the present study we investigated allelic deletions of all these genes in each recurrent bladder tumor from well-defined clinical material with more than 3 years of follow-up. We followed three groups (22 or 23 patients/group) of patients with: (a) recurrent noninvasive tumors (Ta); (b) primary muscle-invasive tumors (T2-T4); and (c) progressing tumors (Ta/T1 --> T2/T4). We found a significant difference in the numbers of gene loci hit by deletions muscle-invasive versus noninvasive tumors (P = 0.0000002), with the genes most often hit by deletions in muscle-invasive tumors being TP53, RB1, and MYCL. A number of novel findings were made. Losses of MYCL and RB1 alleles were more pronounced in patients having concomitant field disease because 11 of 14 informative cases showed losses compared with 3 of 8 cases without field disease. A more pronounced deletion of TP53 (P = 0.002) and RB1 (P = 0.02) was found in the progressing tumor group compared with the recurrent noninvasive group, and, finally, the combined loss of TP53 and RB1 was present only in the progressing tumor or muscle-invasive groups. Deletion of two or more loci in TP53, MYCL, RB1, and CDKN2A was found in 10 patients in the progressing tumor group and in only 1 patient in the recurrent noninvasive group (P = 0.004). The data demonstrate that a characteristic difference between recurrent noninvasive and recurrent progressing bladder tumors is loss of cell cycle-regulatory genes in the latter group.[1]References
- Allelic deletions of cell growth regulators during progression of bladder cancer. Primdahl, H., von der Maase, H., Christensen, M., Wolf, H., Orntoft, T.F. Cancer Res. (2000) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg