Multilocus analysis of SNP and metabolic data within a given pathway

CYP1A1 Ile462Val is a risk factor for ovarian cancer development

Published data on the association between CYP1A1 gene polymorphism and ovarian cancer risk are conflicting and heterogeneous. To derive a more precise estimation of the relationship, a meta-analysis was performed. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were performed for heterozygous, homozygous, dominant model, recessive model and allele, respectively. A total of 15 case-control studies were identified, among which, 13 studies (1815 cases and 3501 controls) were eligible for CYP1A1 Ile(462)Val and nine studies (2495 cases and 3553 controls) were eligible for CYP1A1 Msp1. Overall, Ile(462)Val was significantly associated with ovarian cancer, with homozygous carriers (Val/Val vs. Ile/Ile: OR=2.64; 95% CI: 1.63-4.28) and recessive model (Val/Val vs. Ile/Ile and Ile/Val: OR=2.30; 95% CI: 1.45-3.65) being risk factors for ovarian cancer development. In the subgroup analysis by ethnicity, significantly increased risks were found for Caucasians (homozygous carriers: OR=4.91; 95% CI: 2.07-11.66; recessive model: OR=3.26; 95% CI: 1.41-7.50) and Asians (homozygous carriers: OR=3.06; 95% CI: 1.48-6.33; recessive model: OR=2.75; 95% CI: 1.40-5.41; Val allele: OR=1.67; 95% CI: 1.19-2.35). However, no significant associations were found between Msp1 and ovarian cancer in the overall analyses or the subgroup analyses by ethnicity. This meta-analysis denotes the importance for in-depth research regarding of gene-gene, gene-environment interactions, race-specific and histological subtypes specific to obtain a more conclusive response about the function of CYP1A1 in ovarian cancer.

Genes encoding longevity: from model organisms to humans

Ample evidence from model organisms has indicated that subtle variation in genes can dramatically influence lifespan. The key genes and molecular pathways that have been identified so far encode for metabolism, maintenance and repair mechanisms that minimize age-related accumulation of permanent damage. Here, we describe the evolutionary conserved genes that are involved in lifespan regulation of model organisms and humans, and explore the reasons of discrepancies that exist between the results found in the various species. In general, the accumulated data have revealed that when moving up the evolutionary ladder, together with an increase of genome complexity, the impact of candidate genes on lifespan becomes smaller. The presence of genetic networks makes it more likely to expect impact of variation in several interacting genes to affect lifespan in humans. Extrapolation of findings from experimental models to humans is further complicated as phenotypes are critically dependent on the setting in which genes are expressed, while laboratory conditions and modern environments are markedly dissimilar. Finally, currently used methodologies may have only little power and validity to reveal genetic variation in the population. In conclusion, although the study of model organisms has revealed potential candidate genetic mechanisms determining aging and lifespan, to what extent they explain variation in human populations is still uncertain.

A phase II evaluation of goserelin and bicalutamide in patients with ovarian cancer in second or higher complete clinical disease remission

BACKGROUND

The current study was conducted to determine the effect of goserelin and bicalutamide on progression-free survival (PFS) in patients with epithelial ovarian cancer who were in second or greater complete disease remission.

METHODS

Patients received bicalutamide at a dose of 50 mg orally daily and goserelin at a dose of 3.6 mg subcutaneously every 4 weeks. CA 125 was obtained monthly, with computed tomography performed every 3 months. Correlative studies included serum luteinizing hormone, follicle-stimulating hormone, vascular endothelial growth factor, free testosterone, and androstenedione and the germline polymorphisms CYP19A1 and androgen receptor.

RESULTS

Between October of 2000 and October of 2002, 35 patients were enrolled. Three patients (9%) received therapy at the time of first disease remission and were removed from the study, and 1 patient (3%) was removed for liver function test abnormalities. The most frequent toxicities were grade 1 alkaline phosphatase (54%), fatigue (57%), and hot flashes (42%) based on the National Cancer Institute common toxicity scale, version 2.0. The PFS for patients receiving protocol therapy in second disease remission (21 patients) was 11.4 months (95% confidence interval [95% CI], 10.2-12.6 months). The PFS for patients receiving protocol therapy in third or fourth disease remission (11 patients) was 11.9 months (95% CI, 10.8-14.1 months). The percentage of patients remaining in second disease remission at given times are: 100% at 3 months, 100% at 6 months, 72% at 9 months, 47% at 12 months, 28% at 15 months, 22% at 18 months, 19% at 21 months, and 13% at 24 months. There were no associations noted between androgen receptor repeat number, genotype, allelotype, or haplotypes and PFS.

CONCLUSIONS

The use of goserelin and bicalutamide did not appear to prolong PFS in patients with epithelial ovarian cancer in second or greater complete disease remission. The number of patients in disease remission at given time points may serve as a clinical trial endpoint for future studies of consolidation therapy.