Abstract Recently, Wilson et al. (doi:10.1038/onc.2013.396) found that EYA4 was frequently inactivated biallelically in sporadic lung cancer, displays tumor suppressor gene-like properties and affects DNA repair, and that 5 of 17 common SNPs in this 0.3Mb region showed nominal association to familial lung cancer (FLC, p<0.05) although these associations are not genome-wide significant after correction for multiple testing.. However, this is an interesting candidate gene for FLC risk because it is located on chromosome 6q in a region where we previously showed evidence of linkage to FLC (PMID: 15272417, 20215501). Here, we sequenced 75 individuals from our 9 most strongly 6q-linked families, using Illumina technology and a custom Agilent kit to capture 37Mb of chromosome 6 from 130Mb to 167Mb. We closely examined a region around EYA4, between 133Mb and 135Mb. This region contains a number of other genes in addition to EYA4, including the Vanin cluster; ribosomal protein S12; the tumor suppressor gene TCF21 and its antisense RNA TARID which directs methylation and activation of TCF21; solute carriers SLC18B1 and SLC2A12 and the serum/glucocorticoid regulated kinase SGK1. To detect sharing of variants among affecteds in each family while allowing for phenocopies, singlepoint affected-only linkage analysis was performed on lung cancer affection status for all sequence variants using the Elston-Stewart algorithm implemented in the R package paramlink assuming penetrance of 0.01, 0.1 and 0.1 for dd/Dd/DD and a disease allele (D) frequency of 0.01, at a recombination fraction (theta) of 0. The highest total LOD score (summed over all 9 families) in the entire 37Mb targeted region was not near EYA4. In only one family was there any variant in EYA4 that appeared on the linked haplotype with close to the highest family-specific LOD score: Family 30 had a LOD of 0.6514 at several EYA4 variants (max LOD across region 0.6519). However, many variants across the region had similar LODs. In the remaining families, all EYA4 variants had LODs much lower than the maximum family-specific LOD score in the region. Thus, EYA4 variants are unlikely to explain our 6q linkage peak in these 6q-linked families. The second highest total LOD score for the entire 37Mb targeted region was found near EYA4 at 133.9Mb (LOD = 3.82), in the middle of the TARID antisense RNA gene. This variant appears to be entirely novel, as it is not present in any of the online variant databases, such as NHLBI's ESP or 1000 Genomes. In two families, the family LOD score at this locus was at or close to the highest in the region: in Family 44 the LOD score was 1.206 (max LOD across entire region 1.207) and in Family 35 the LOD score was 0.3958 (max LOD across region 0.3959). Therefore this variant in the TARID antisense RNA is a candidate in some of our families most strongly linked to chromosome 6q. Citation Format: Joan E. Bailey-Wilson, Claire L. Simpson, Susan M. Pinney, Mariza de Andrade, Colette Gaba, Ping Yang, Ming You, Elena Y. Kupert, Ann G. Schwartz, Diptasri Mandal, Christopher I. Amos, Marshall W. Anderson. Evaluation of EYA4 as a candidate risk locus in familial lung cancer families linked to 6q. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2757. doi:10.1158/1538-7445.AM2015-2757
Subclinical Hypothyroidism During Pregnancy—Should You Expect This When You Are Expecting?
Significance The work reported in this paper describes a previously unknown signaling pathway in skeletal muscle acting through G protein-coupled receptor 56-Galpha12/13. This discovery elucidates a previously unknown mechanism of muscle anabolism and gives another target of investigation for therapies against the loss of muscle mass seen with aging and various wasting diseases.
Abstract P2-11-01: Effects of chemotherapy on the ovary: What you didn't know
Abstract Background: It has long been known that chemotherapy can result in premature menopause, causing follicular senescence and estrogen depletion with associated hot flashes and mood alterations. What is less well appreciated is whether the stroma of the ovary is equally impacted after chemotherapy, resulting in androgen deprivation. The aim of this pilot study was to evaluate whether androgen levels are adversely affected after chemotherapy and whether this is associated with unwanted symptoms. Methods: Women who were premenopausal, newly diagnosed with breast cancer, and about to undergo adjuvant chemotherapy were followed longitudinally. Women with adrenal insufficiencies, taking steroids, oral contraceptives, or had had previous chemotherapy were excluded. Self report questionnaires regarding sexual function, fatigue, mood, menstrual symptoms; menstrual diaries; and blood were collected at 4 points: before treatment, mid chemotherapy, post chemotherapy and 6 months later. Serum concentrations of dehydroepiandrosterone sulfate (DHEA-S) (adrenal hormone), bioavailable testosterone (bioT), androstenedione (Adione) (stromal hormone), estrone (E1), estradiol (E2) (follicular hormone), sex hormone binding globulin (SHBG), and follicle stimulating hormone (FSH) were evaluated. Descriptive statistics, comparisons of means by two sided t-tests and Pearson correlation coefficients were computed. Six month post treatment data are reported. Results: 24 women were accrued and 21 provided serum and questionnaires through 6 months. All sex steroid hormones decreased during chemotherapy and did not return to baseline by 6 months for the group as a whole. At 6 months, 14 women were postmenopausal per FSH, E2 and menstrual diaries and 7 had resumed menses. There were no significant differences in hormone concentrations at baseline between women who ended up menopausal from those who resumed menses. However, at 6 months, postmenopausal women had significantly lower concentrations than premenopausal women of E2 (289 pg/ml pre- 9 pg/ml post), E1 (132 pg/ml pre- 22 pg/ml post), and Adione (102 ng/dL pre- 56 ng/dL post), but not DHEA-S or bioT (all p < .01). E2 was significantly correlated with Adione (R = .47 p = .03), and E1 (R = .57, p = .007). Low to moderate correlations were found between hormone concentrations and symptoms. The use of tamoxifen was significantly, and negatively correlated with the total score on the Female Sexual Function Index (r = −.572, p = .005), indicating worse sexual function for women on tamoxifen. Conclusion: These data support the hypothesis that the post chemotherapy ovary suffers both follicular and stromal dysfunction, as noted by lower Adione, which is specific to the ovarian stroma. Adione concentrations in the postmenopausal group women are similar to published reports of women post oophorectomy. This is the first longitudinal study we are aware of to evaluate ovarian stromal function in women undergoing chemotherapy. This total hormone depletion may be why women experiencing chemotherapy induced menopause report severe and distressing menopausal symptoms such as hot flashes. Estrogen is often implicated, but androgen deprivation in this population should be taken into consideration when planning interventions to improve health related quality of life. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-11-01.
Abstract A106: Optimal strategies for selecting samples for sequencing families with a common cancer: The Genetic Epidemiology of Lung Cancer Consortium.
Abstract In order to select samples that are optimally informative for sequence analysis, studies for the Genetic Epidemiology Consortium, we implemented three strategies for analysis, taking into account the known family histories of lung cancer. Susceptibility for lung cancer arises from a complex interplay between largely unknown genetic factors and smoking behavior. In order to optimize our ability to identify genetic factors for lung cancer we have recruited individuals with extensive family histories of lung cancer and also collected information about their smoking behaviors. For this study, we have modeled family history to identify individuals to select for sequencing using three approaches. First, we used an expert opinion approach in which multiple investigators evaluated pedigree structures with family history to reach a consensus priority in selecting individuals. Second we developed an approximation that assumes a low penetrance among noncarriers and uses known cancer status in first degree relatives. Third, we used the cancer, smoking behaviors and family information along with a likelihood that models penetrance according to genetic susceptibility and an interaction with smoking to estimate the probabilities individuals carry susceptibility factors. In this analysis we compare results among these methods. We evaluate effectiveness of these methods using simulation-based approaches. Citation Format: Christopher Amos, Joan Bailey-Wilson, Susan Pinney, Maria de Andrada, Colette Gaba, Diptasri Mandal, Ming You, Margaret Spitz, Marshall Anderson. Optimal strategies for selecting samples for sequencing families with a common cancer: The Genetic Epidemiology of Lung Cancer Consortium. [abstract]. In: Proceedings of the Eleventh Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2012 Oct 16-19; Anaheim, CA. Philadelphia (PA): AACR; Cancer Prev Res 2012;5(11 Suppl):Abstract nr A106.
Putting the Fat and Water Protons to Work for You: A Demonstration Through Clinical Cases of How Fat-Water Separation Techniques Can Benefit Your Body MRI Practice
You Can't Know Where You're Going Until You Know Where You've Been: The Clinical Relevance of Differences in Accurate Assessment of Catheter Location with Mapping Technologies
Key Points miR-155 levels are significantly and increasingly overexpressed as normal B cells progress to MBL and to CLL. Plasma levels of miR-155 before treatment were significantly lower in patients with CLL who experienced complete response than in all others.