Genetic linkage mapping of the CYP11A1 gene encoding the cholesterol side-chain cleavage P450scc close to the CYP1A1 gene and D15S204 in the chromosome 15q22.33-q23 region

Regulatory genes in the androgen production, uptake and conversion (APUC) pathway in advanced prostate cancer

The androgen receptor (AR) signaling pathway regulates the progression of prostate cancer (PC). Metastatic castration-resistant prostate cancer (mCRPC) patients generally receive AR-targeted therapies (ART) or androgen-deprivation therapies (ADT) with the initial response; however, resistance is inevitably observed. Prior studies have shown activity and upregulation of a family of androgen production, uptake, and conversion - APUC genes - based on genomic analyses of patient germlines. Genetic variants of some APUC genes, such as the conversion gene, HSD3B1, predict response to second-generation androgen-targeted therapies. Studies have begun to elucidate the overall role of APUC genes, each with unique actionable enzymatic activity, in mCRPC patient outcomes. The current role and knowledge of the genetic and genomic features of APUC genes in advanced prostate cancer and beyond are discussed in this review. These studies inform of how interpreting behavior of APUC genes through genomic tools will impact the treatment of advanced prostate cancer.

Genetic polymorphisms in the CYP1A1 and CYP1B1 genes and susceptibility to bladder cancer: a meta-analysis

The current meta-analysis of case-control studies was conducted to evaluated the relationships of genetic polymorphisms in the CYP1A1 and CYP1B1 genes with the susceptibility to bladder cancer, aiming at determine whether these polymorphisms may contribute to the pathogenesis of bladder cancer. Related articles were determined via searching the following electronic databases without any language restrictions: PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases for relevant articles published before November 1st, 2013. STATA 12.0 software was also selected to deal with statistical data. The relationships were evaluated using the pooled odds ratios (ORs) and their 95% confidence intervals (CI). Eleven case-control studies with a total of 2,609 bladder cancer patients and 2,634 healthy subjects met the inclusion criteria. The results of our meta-analysis demonstrated that CYP1A1 genetic polymorphisms were associated with increased risks of bladder cancer (allele model: RR = 1.18, 95% CI 1.07-1.30, P = 0.001; dominant model: RR = 1.15, 95% CI 1.05-1.27, P = 0.003; respectively), especially among 11599G>C, 2455A>G, 3810T>C, and 113T>C polymorphisms. A subgroup analysis by ethnicity was conducted to investigate its effect on susceptibility to bladder cancer. The subgroup analysis results revealed positive significant correlations between CYP1A1 genetic polymorphisms and bladder cancer risk among Asians (allele model: RR = 1.26, 95% CI 1.10-1.44, P = 0.001; dominant model: RR = 1.22, 95% CI 1.08-1.38, P = 0.001), but not among Caucasians (all P < 0.05). Nevertheless, we observed no significant correlations between CYP1B1 genetic polymorphisms and bladder cancer risk (all P > 0.05). Our meta-analysis indicates that CYP1A1 genetic polymorphisms may be involved in the pathogenesis of bladder cancer, especially among 11599G>C, 2455A>G, 3810T>C, and 113T>C polymorphisms. However, CYP1B1 genetic polymorphisms may not be important determinants of bladder cancer susceptibility.

Relationships between CYP1A1 genetic polymorphisms and bladder cancer risk: a meta-analysis

This meta-analysis aims at evaluating the relationships between CYP1A1 genetic polymorphisms and bladder cancer risk. The PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases were searched from inception through November 1st, 2013 without language restrictions. Meta-analysis was conducted with the use of the STATA 12.0 software. The relationships were evaluated by calculating the pooled odds ratios (ORs) and their 95% confidence intervals (CIs). Eight case-control studies with a total of 2120 bladder cancer patients and 2061 healthy subjects met the inclusion criteria. Ten common polymorphisms in the CYP1A1 gene were assessed. The results of our meta-analysis suggested that CYP1A1 genetic polymorphisms might be strongly correlated with an increased risk of bladder cancer (allele model: OR=1.23, 95%CI=1.08-1.39, p=0.001; dominant model: OR=1.25, 95%CI=1.07-1.46, p=0.005; respectively), especially for 11599G>C, 2455A>G, 3810T>C, and 113T>C polymorphisms. A subgroup analysis was done to investigate the effect of ethnicity on an individual's risk of bladder cancer. Our results revealed positive significant correlations between CYP1A1 genetic polymorphisms and an increased risk of bladder cancer among Asians (allele model: OR=1.33, 95%CI=1.08-1.65, p=0.009; dominant model: OR=1.37, 95%CI=1.02-1.85, p=0.034; respectively), but not among Caucasians (all p<0.05). Our findings provide convincing evidence that CYP1A1 genetic polymorphisms may contribute to susceptibility to bladder cancer, especially for 11599G>C, 2455A>G, 3810T>C, and 113T>C polymorphisms among Asians.

Common polymorphisms in the CYP1A1 and CYP11A1 genes and polycystic ovary syndrome risk: a meta-analysis and meta-regression

AIM

Increasing scientific evidences suggest that common polymorphisms in the CYP1A1 and CYP11A1 genes may contribute to the development and progression of polycystic ovary syndrome (PCOS), but many existing studies have yielded inconclusive results. The aim of this study was to perform a meta-analysis of published studies on the associations between common polymorphisms in the CYP1A1 and CYP11A1 genes and susceptibility to PCOS.

METHODS

An extensive literature search for relevant studies was conducted on PubMed, Embase, Web of Science, Cochrane Library, and CBM databases from their inception through 1 June, 2013. This meta-analysis was performed using the STATA 12.0 software. The crude risk ratio (RR) with 95% confidence interval was calculated.

RESULTS

Thirteen case-control studies were included in this meta-analysis with a total of 1,571 PCOS cases and 1,918 healthy controls. Our meta-analysis revealed that CYP1A1 MspI (rs4646903 T > C) polymorphism may increase the risk of PCOS, especially among Caucasian populations. Furthermore, CYP11A1 microsatellite [TTTA]n repeat polymorphism also showed significant associations with increased risk of PCOS among Caucasian populations. However, there was no statistically significant association between CYP1A1 Ile462Val (rs1048943 A > G) polymorphism and PCOS risk.

CONCLUSION

Our meta-analysis suggests that CYP1A1 MspI and CYP11A1 microsatellite [TTTA]n repeat polymorphisms may contribute to increasing susceptibility to PCOS among Caucasian populations. Detection of common polymorphisms in the CYP1A1 and CYP11A1 genes might be promising biomarkers for the diagnosis and prognosis of PCOS.

Increased expression of P450scc and CYP17 in development of endogenous hyperandrogenism in a rat model of PCOS

The objective of the present study was to characterize the effect of insulin plus hCG on the expression of steroidogenic enzymes (P450scc and CYP17) in polycystic ovaries of rats. Changes in estrous cycle, ovarian morphology, hormonal levels, and protein levels by immunohistochemistry and western-blot were determined. Rats treated with insulin plus hCG displayed abnormal estrous cycles with increasing androgen biosynthesis. Meanwhile, insulin plus hCG resulted in multiple large cysts with diminished granulosa layers and increased thecal layers and stromal-interstitial tissue. Moreover, there was an increase in the expression of P450scc and CYP17 in thecal and stromal cells in our PCOS rat model compared with control rats. These results indicate that administration of insulin with hCG can synergistically result in endogenous hyperandrogenism which may partially upregulate the expression of steroidogenic enzymes in ovarian tissue.

Role of Androgen Metabolism Genes CYP1B1, PSA/KLK3, and CYP11 in Prostate Cancer Risk and Aggressiveness

Candidate genes involved with androgen metabolism have been hypothesized to affect the risk of prostate cancer. To further investigate this, we evaluated the relationship between prostate cancer and multiple potentially functional polymorphisms in three genes involved in androgen metabolism: CYP1B1 (two single nucleotide polymorphisms: 355G/T and 4326C/G), prostate-specific antigen (PSA/KLK3 (three single nucleotide polymorphisms: -158A/G, -4643G/A, and -5412C/T), and CYP11alpha [(tttta)(n) repeat], using a moderately large (n = 918) sibling-based case-control population. When looking at all subjects combined, no association was observed between any polymorphism-or their haplotypes-and prostate cancer risk. However, among men with more aggressive prostate cancer, the CYP1B1 355G/T variant was positively associated with disease: carrying one or two T alleles gave odds ratios (OR) of 1.90 [95% confidence interval (95% CI), 1.09-3.31; P = 0.02] and 3.73 (95% CI, 1.39-10.0; P = 0.009), respectively. Similarly, carrying the CYP1B1 355T-4326C haplotype was positively associated with prostate cancer among men with high aggressive disease (P = 0.01). In addition, the PSA -158G/-158G genotype was positively associated with prostate cancer among men with less aggressive disease (OR, 2.71; 95% CI, 1.06-6.94; P = 0.04). Our findings suggest that CYP1B1 and PSA variants may affect the risk of prostate cancer and tumor aggressiveness.

Identifying Susceptibility Genes for Prostate Cancer--A Family-Based Association Study of Polymorphisms in CYP17, CYP19, CYP11A1, and LH-

Polymorphisms in genes that code for enzymes or hormones involved in the synthesis and metabolism of androgens are compelling biological candidates for prostate cancer. Four such genes, CYP17, CYP19, CYP11A1, and LH-beta, are involved in the synthesis and conversion of testosterone to dihydrotestosterone and estradiol. In a study of 715 men with and without prostate cancer from 266 familial and early-onset prostate cancer families, we examined the association between prostate cancer susceptibility and common single-nucleotide polymorphisms in each of these four candidate genes. Family-based association tests revealed a significant association between prostate cancer and a common single-nucleotide polymorphism in CYP17 (P=0.004), with preferential transmission of the minor allele to unaffected men. Conditional logistic regression analysis of 461 discordant sibling pairs from these same families reaffirmed the association between the presence of the minor allele in CYP17 and prostate cancer risk (odds ratio, 0.51; 95% confidence interval, 0.28-0.92). These findings suggest that variation in or around CYP17 predicts susceptibility to prostate cancer. Family-based association tests may be especially valuable in studies of genetic variation and prostate cancer risk because this approach minimizes confounding due to population substructure, which is of particular concern for prostate cancer given the tremendous variation in the worldwide incidence of this disease.

Microsatellite polymorphism of steroid hormone synthesis geneCYP11A1 is associated with advanced prostate cancer

It is widely recognized that androgen biosynthesis and metabolism are associated with the development and progression of prostate cancer. The human CYP11A1 gene (CYP11A1) encodes the P450scc enzyme, which mediates the first step in sex steroid hormone synthesis. The gene contains a (tttta)n-5 bp tandem repeat microsatellite polymorphism located at 528 bp upstream of the translation initiation site and the CYP11A1 mRNA level may be modulated by the polymorphism. Recent studies suggested that the absence of the shortest (tttta)4 allele of the CYP11A1 polymorphism was associated with a risk of polycystic ovary syndrome and with a hyperandrogenic state in polycystic ovary syndrome patients. In our study which included 278 prostate cancer patients, 213 benign prostatic hyperplasia (BPH) patients and 299 male controls, we explored the association between the CYP11A1 polymorphism and prostate cancer on the hypothesis that the presence of the (tttta)4 allele may increase the risk of the development or progression of prostate cancer. In addition, we measured the serum levels of 6 steroid hormones or their metabolite (i.e., testosterone, free-testosterone, estrone, estradiol, dehydroepiandrosterone and androstendione) in 156 control males subjects and compared those with and without the (tttta)4 allele. The polymorphism was evaluated by PCR amplification of a 145-170 bp fragment followed by polyacrylamid gel electrophoresis. The CYP11A1 allele consisted of 4, 6, 7, 8 and 9 (tttta)-5 bp repeats. There was no significant difference in the genotype frequency as for the presence of the (tttta)4 allele between prostate cancer patients and male controls, and between prostate cancer patients and BPH patients. However, there was a significant difference in the genotype frequency in relation to the disease status. Prostate cancer patients without the (tttta)4 allele had an increased risk of metastatic disease (stage D) compared to those with the (tttta)4 allele [adjusted odds ratio (aOR)=1.76, 95% confidence interval (Cl)=1.07-2.90 and p =0.026]. Patients without the (tttta)4 allele had an increased risk of high grade prostate cancer (Gleason score 8 or more, or poorly differentiated cancer) compared to those with the (tttta)4 allele (aOR=1.79, 95% Cl=1.08-2.97 and p =0.025). No significant difference in the serum levels of 6 steroid hormones or their metabolites was found in the presence or absence of the (tttta)4 allele. Our results suggest that the CYP11A1 polymorphism may have a significant influence on the development of advanced and/or high grade prostate cancer and the absence of the CYP11A1 (tttta)4 allele, i.e., the homozygosity for the (tttta)6 or longer allele, could be a useful marker for the prediction of disease progression of prostate cancer.

Genetic susceptibility and environmental estrogen-like compounds

Environmental chemicals with estrogenic activities have been suggested to be able to interact with the endocrine system. Endogenous estrogen is synthesized in the ovarian theca cells of premenopausal women or in the stromal adipose cells of the breast of postmenopausal women and minor quantities in peripheral tissue. These cells, as well as breast tissue, express all the necessary enzymes for this synthesis, CYP17, CYP11a, CYP19, 17-beta-hydroxysteroid hydrogenase, steroid sulfatase as well as enzymes further hydroxylating estradiol, such as CYP1A1, CYP3A4, CYP1B1, catechol-o-methyltransferase (COMT). Polymorphisms in these enzymes may have a possible role in the link between environmental estrogens and hormone-like substances and the interindividual risk of breast cancer.

Human sex hormone-binding globulin promoter activity is influenced by a (TAAAA)n repeat element within an Alu sequence

Sex hormone-binding globulin (SHBG) is the major sex steroid-binding protein in human plasma and is produced by the liver. Plasma SHBG levels vary considerably between individuals and are influenced by hormonal, metabolic, and nutritional factors. We have now found that a (TAAAA)(n) pentanucleotide repeat, located within an alu sequence at the 5' boundary of the human SHBG promoter, influences its transcriptional activity in association with downstream elements, including an SP1-binding site. Furthermore, SHBG alleles within the general population contain at least 6-10 TAAAA repeats, and the transcriptional activity of a human SHBG promoter-luciferase reporter construct containing 6 TAAAA repeats was significantly lower than for similar reporter constructs containing 7-10 TAAAA repeats when tested in human HepG2 hepatoblastoma cells. This difference in transcriptional activity reflected the preferential binding of a 46-kDa liver-enriched nuclear factor to an oligonucleotide containing 6 rather than 7-10 TAAAA repeats. Thus, a (TAAAA)(n) element within the human SHBG promoter influences transcriptional activity in HepG2 cells and may contribute to differences in plasma SHBG levels between individuals.

A novel zinc finger protein TReP-132 interacts with CBP/p300 to regulate human CYP11A1 gene expression

The human CYP11A1 gene is expressed specifically in steroidogenic tissues and encodes cytochrome P450scc, which catalyzes the first step in steroid synthesis. A region of the 5'-flanking DNA of the gene from nucleotides -155 to -131 (-155/-131) is shown to activate transcription in steroidogenic human placental JEG-3 (1) and adrenal NCI-H295 cells. Using this region of the gene as probe, a cDNA clone of 4.4 kilobase pairs was isolated by screening JEG-3 cell and human placental cDNA expression libraries. The open reading frame encodes three zinc fingers of the C(2)H(2) subtype, and separate regions rich in glutamate, proline, and glutamine, which are indicative of a DNA-binding protein involved in gene transcription. Expression of the cDNA in vitro and in HeLa cells yields a protein of 132 kDa, which concurs with the predicted size. Northern blot analysis demonstrate expression of two TReP-132 transcripts of 4.4 and 7.5 kilobase pairs in the thymus, adrenal cortex, and testis; and expression is also found in the steroidogenic JEG-3, NCI-H295, and MCF-7 cell lines. Immunocytochemistry analysis demonstrates localization of the HA-tagged TReP-132 protein in the nucleus. The expression of exogenous TReP-132 in HeLa cells was demonstrated to interact with the -155/-131 region in bandshift analysis. Transfection of the cDNA in placental JEG-3 and adrenal NCI-H295 cells increases expression of a reporter construct controlled by the P450scc gene 5'-flanking region from nucleotides -1676 to +49. Moreover, a chimeric protein generated by fusion of TReP-132 with the Gal4 DNA-binding domain was able to significantly increase promoter activity of a reporter construct via Gal4-binding sites upstream of the E1b minimal promoter. Coexpression of CREB-binding protein (CBP)/p300 with TReP-132 has an additive effect on promoter activity, and the proteins were demonstrated to interact physically. Thus, these results together indicate the isolation of a novel zinc-finger transcriptional regulating protein of 132 kDa (TReP-132) involved in the regulation of P450scc gene expression.

Molecular epidemiology of breast cancer: genetic variation in steroid hormone metabolism

The age-specific incidence rate of breast cancer in women rises until menopause, levels off and then rises again at a much lower rate indicating a possible hormonal influence on the disease risk. A large amount of evidence has implicated hormones and other compounds with oestrogen activity in the pathogenesis of certain endocrine cancers, particularly breast cancer. Widely dispersed hormone-like chemicals, capable of disrupting the endocrine system and interfering with proliferation, have been described. Compounds such as dioxins, some polychlorinated biphenyls and the plastic ingredient bisphenol-A have been shown to interfere with human reproduction and hormonal regulation. The levels of these foreign compounds as well as the levels of endogenous oestradiol may influence the risk of breast cancer. Endogenous oestradiol is synthesised in the ovarian theca cells of premenopausal women or in the stromal adipose cells of the breast of postmenopausal women and minor quantities in peripheral tissue. These cells, as well as breast cancer tissue, express all the necessary enzymes for this synthesis: CYP17, CYP11a, CYP19, hydroxysteroid hydrogenase, steroid sulphatase as well as enzymes further hydroxylating oestradiol such as CYP1A1, CYP3A4, CYP1B1. Polymorphisms in these enzymes may have a possible role in the link between environmental estrogens and hormone-like substances and the interindividual risk of breast cancer.