👤 Per E Lønning

The number of tumor suppressor genes for which germline mutations have been linked to cancer risk is steadily increasing. However, while recent reports have linked constitutional normal tissue promoter methylation of BRCA1 and MLH1 to ovarian and colon cancer risk, the role of epigenetic alterations as cancer risk factors remains largely unknown, presenting an important area for future research. Currently, we lack fast and sensitive methods for assessment of promoter methylation status across known tumor suppressor genes. In this paper, we present a novel NGS-based approach assessing promoter methylation status across a large panel of defined tumor suppressor genes to base-pair resolution. The method omits the limitations related to commonly used array-approaches. Our panel includes 565 target regions covering the promoters of 283 defined tumor suppressors, selected by pre-specified criteria, and was applied for rapid targeted methylation-specific NGS. The feasibility of the method was assessed by analyzing normal tissue DNA (white blood cells, WBC) samples from 34 healthy postmenopausal women and by performing preliminary assessment of the methylation landscape of tumor suppressors in these individuals. The mean target coverage was 189.6x providing a sensitivity of 0.53%, sufficient for promoter methylation assessment of low-level methylated genes like BRCA1. Within this limited test-set, we detected 206 regions located in the promoters of 149 genes to be differentially methylated (hyper- or hypo-) at > 99% confidence level. Seven target regions in gene promoters (CIITA, RASSF1, CHN1, PDCD1LG2, GSTP1, XPA, and ZNF668) were found to be hyper-methylated in a minority of individuals, with a > 20 percent point difference in mean methylation across the region between individuals. In an exploratory hierarchical clustering analysis, we found that the individuals analyzed may be grouped into two main groups based on their WBC methylation profile across the 283 tumor suppressor gene promoters. Methylation-specific NGS of our tumor suppressor panel, with detailed assessment of differential methylation in healthy individuals, presents a feasible method for identification of novel epigenetic risk factors for cancer. Show less

The concentration of estradiol (E(2)) in breast tumors is significantly higher than that in plasma, particularly in postmenopausal women. The contribution of local E(2) synthesis versus uptake of E(2) from the circulation is controversial. Our aim was to identify possible determinants of intratumoral E(2) levels in breast cancer patients. The expression of genes involved in estrogen synthesis, metabolism, and signaling was measured in 34 matched samples of breast tumor and normal breast tissue, and their correlation with estrogen concentrations assessed. ESR1 (9.1-fold; P < 0.001) and HSD17B7 (3.5-fold; P < 0.001) were upregulated in ER(+) tumors compared with normal tissues, whereas STS (0.34-fold; P < 0.001) and HSD17B5 (0.23-fold; P < 0.001) were downregulated. Intratumoral E(2) levels showed a strong positive correlation with ESR1 expression in all patients (Spearman r = 0.55, P < 0.001) and among the subgroups of postmenopausal (r = 0.76, P < 0.001; n = 23) and postmenopausal ER(+) patients (r = 0.59, P = 0.013; n = 17). HSD17B7 expression showed a significant positive correlation (r = 0.59, P < 0.001) whereas HSD17B2 (r = -0.46, P = 0.0057) and HSD17B12 (r = -0.45, P = 0.0076) showed significant negative correlations with intratumoral E(2) in all patients. Intratumoral E(2) revealed no correlation to CYP19, STS, and HSD17B1 expression. Multivariate models comprising ESR1 and plasma E(2) predicted between 50% and 70% of intratumoral E(2) variability. Uptake due to binding to the ER, rather than intratumoral estrogen synthesis by aromatase or sulfatase, is the single most important correlate and a probable determinant of intratumoral E(2). An increased expression of HSD17B7 may explain the increased ratio of E(2) to estrone (E(1)) in breast tumors compared with normal tissue. Show less