Search Results

You are looking at 1 - 1 of 1 items for

  • Author: Britta Heinze x
  • Refine by Access: All content x
Clear All Modify Search
Free access

Britta Heinze, Leonie J M Herrmann, Martin Fassnacht, Cristina L Ronchi, Holger S Willenberg, Marcus Quinkler, Nicole Reisch, Martina Zink, Bruno Allolio, and Stefanie Hahner

Context

The Li–Fraumeni tumor syndrome is strongly associated with adrenocortical carcinoma (ACC) and is caused by germline mutations in TP53 in 70% of cases. Also, TP53 polymorphisms have been shown to influence both cancer risk and clinical outcome in several tumor entities. We, therefore, investigated TP53 polymorphisms in a cohort of adult patients with ACC.

Objective

Evaluation of the role of TP53 polymorphisms in adult patients with ACC.

Subjects and methods

Peripheral blood for DNA extraction was collected from 72 ACC patients. Polymorphism analysis was carried out by amplification and sequencing of exons and adjacent intron sections of TP53. Results were correlated with clinical data and the distribution of the polymorphisms was compared with published Caucasian control groups.

Results

Compared with control groups, genotype frequencies of analyzed TP53 polymorphisms among ACC patients were significantly different in three out of four polymorphisms: IVS2+38G>C (G/G, P=0.0248), IVS3ins16 (NoIns/NoIns, P<0.0001; NoIns/Ins, P<0.0001), and IVS6+62A>G (G/G, P<0.0001; G/A, P<0.0001). Overall, the survival of ACC patients, which harbored at least one of the less frequent genotype variants of four analyzed polymorphisms (n=23), was significantly inferior (median survival: 81.0 months in patients with the common homozygous genotypes vs 20.0 months in patients with the less frequent genotypes, HR 2.56, 95% CI 1.66–7.07; P=0.001). These results were confirmed by multivariable regression analysis (HR 2.84, 95% CI 1.52–7.17; P=0.037).

Conclusion

Some TP53 polymorphisms seem to influence overall survival in ACC patients. This effect was observed for a combination of polymorphic changes rather than for single polymorphisms.