Citations

Abstract The myocardium is known to be an anisotropic medium where the muscle fiber orientation changes through the thickness of the wall. Shear wave elastography methods use propagating waves which are measured by ultrasound or magnetic resonance imaging (MRI) techniques to characterize the mechanical properties of various tissues. Ultrasound- or MR-based methods have been used and the excitation frequency ranges for these various methods cover a large range from 24–500 Hz. Some of the ultrasound-based methods have been shown to be able to estimate the fiber direction. We constructed a model with layers of elastic, transversely isotropic materials that were oriented at different angles to simulate the heart wall in systole and diastole. We investigated the effect of frequency on the wave propagation and the estimation of fiber direction and wave speeds in the different layers of the assembled models. We found that waves propagating at low frequencies such as 30 or 50 Hz showed low sensitivity to the fiber direction but also had substantial bias in estimating the wave speeds in the layers. Using waves with higher frequency content (>200 Hz) allowed for more accurate fiber direction and wave speed estimation. These results have particular relevance for MR- and ultrasound-based elastography applications in the heart.

Two-dimensional echocardiography (echo) is the method of choice for noninvasive evaluation of the left ventricle (LV) function owing to its low cost, fast acquisition time, and high temporal resolution. However, it only provides the LV boundaries in discrete 2D planes, and the 3D LV geometry needs to be reconstructed from those planes to quantify LV wall motion, acceleration, and strain, or to carry out flow simulations. An automated method is developed for the reconstruction of the 3D LV endocardial surface using echo from a few standard cross sections, in contrast with the previous work that has used a series of 2D scans in a linear or rotational manner for 3D reconstruction. The concept is based on a generalized approach so that the number or type (long-axis (LA) or short-axis (SA)) of sectional data is not constrained. The location of the cross sections is optimized to minimize the difference between the reconstructed and measured cross sections, and the reconstructed LV surface is meshed in a standard format. Temporal smoothing is implemented to smooth the motion of the LV and the flow rate. This software tool can be used with existing clinical 2D echo systems to reconstruct the 3D LV geometry and motion to quantify the regional akinesis/dyskinesis, 3D strain, acceleration, and velocities, or to be used in ventricular flow simulations.

Many methods for characterization of the mechanical properties of soft tissues using propagating shear waves have been developed over the past two decades. Most of these methods assume that the shear wave is traveling in an elastic, isotropic tissue. However, many soft tissues are viscoelastic and have material properties that are directionally dependent or anisotropic. We have been developing methods to measure waves propagating in soft tissues to estimate the anisotropic viscoelastic material properties. To refine our measurement methods, we have also developed techniques and models for simulating the wave propagation in these types of materials. We have developed specialized finite element and pseudo-spectral models that can simulate viscoelastic transversely isotropic materials and compared our results with measurements in ex vivo porcine muscle. Additionally, we have developed a finite element model that simulates wave propagation in the myocardium by creating a model of layered transverse isotropic media oriented at different angles. We examined the effect of frequency of the waves for estimating of the angle of propagation. We compared these simulation results with experimental results from an ex vivo porcine left ventricular wall. These simulation methods provide insight for optimizing our measurement methods for in vivo characterization of material properties.

ABSTRACTEpithelial‐mesenchymal transition (EMT) is a process whereby epithelial cells assume mesenchymal characteristics to facilitate cancer metastasis. However, EMT also contributes to the initiation and development of primary tumors. Prior studies that explored the hypothesis that EMT gene variants contribute to epithelial ovarian carcinoma (EOC) risk have been based on small sample sizes and none have sought replication in an independent population. We screened 15,816 single‐nucleotide polymorphisms (SNPs) in 296 genes in a discovery phase using data from a genome‐wide association study of EOC among women of European ancestry (1,947 cases and 2,009 controls) and identified 793 variants in 278 EMT‐related genes that were nominally (P < 0.05) associated with invasive EOC. These SNPs were then genotyped in a larger study of 14,525 invasive‐cancer patients and 23,447 controls. A P‐value <0.05 and a false discovery rate (FDR) <0.2 were considered statistically significant. In the larger dataset, GPC6/GPC5 rs17702471 was associated with the endometrioid subtype among Caucasians (odds ratio (OR) = 1.16, 95% CI = 1.07–1.25, P = 0.0003, FDR = 0.19), whereas F8 rs7053448 (OR = 1.69, 95% CI = 1.27–2.24, P = 0.0003, FDR = 0.12), F8 rs7058826 (OR = 1.69, 95% CI = 1.27–2.24, P = 0.0003, FDR = 0.12), and CAPN13 rs1983383 (OR = 0.79, 95% CI = 0.69–0.90, P = 0.0005, FDR = 0.12) were associated with combined invasive EOC among Asians. In silico functional analyses revealed that GPC6/GPC5 rs17702471 coincided with DNA regulatory elements. These results suggest that EMT gene variants do not appear to play a significant role in the susceptibility to EOC.

Abstract Alternative NF-κB signaling is crucial for B cell activation and Ig production, and it is mainly regulated by the inhibitor of κ B kinase (IKK) regulatory complex. Dysregulation of alternative NF-κB signaling in B cells could therefore lead to hyperactive B cells and Ig overproduction. In our previous, study we found that deleted in breast cancer 1 (DBC1) is a suppressor of the alternative NF-κB pathway to attenuate B cell activation. In this study, we report that loss of DBC1 results in spontaneous overproduction of Ig in mice after 10 mo of age. Using a double mutant genetic model, we confirm that DBC1 suppresses B cell activation through RelB inhibition. At the molecular level, we show that DBC1 interacts with alternative NF-κB members RelB and p52 through its leucine zipper domain. In addition, phosphorylation of DBC1 at its C terminus by IKKα facilitates its interaction with RelB and IKKα, indicating that DBC1-mediated suppression of alternative NF-κB is regulated by IKKα. Our results define the molecular mechanism of DBC1 inhibition of alternative NF-κB activation in suppressing B cell activation.

Abstract The known genetic variance for epithelial ovarian cancer (EOC) accounts for less than half the familial risks of the disease. BRCA1 and BRCA2 are the major high-penetrance EOC susceptibility genes. More recently genes that interact with BRCA1 and BRCA2 in the same biological pathways, but conferring more moderate penetrance (e.g. RAD51C, RAD51D) have also been identified. Mutations in these genes result in defects in homologous recombination and double strand break repair (HR/DSB). We hypothesized that other genes operating in these and other DNA repair pathways may also confer EOC susceptibility. Whole exome sequencing data, available from more than 400 high-grade serous ovarian cancers, were used to identify 24 candidate genes harboring germline truncating mutations in at least 2 cases, followed by replication analysis using targeted resequencing in ~3,000 cases and 3,000 controls. Subjects were also sequenced for the known susceptibility genes listed above. The data confirmed the previously reported contributions of BRCA1, BRCA2, RAD51C and RAD51D to EOC. In addition, we identified BRIP1, and FANCM as candidate EOC susceptibility genes. Surprisingly, for several genes we found truncating mutations were equally prevalent in cases as they were in controls. These mutations may still represent rare low-penetrance susceptibility alleles for EOC, which we are too limited in sample size and power to confirm; or more likely, it indicates that cells can tolerate heterozygous loss-of-function mutations in apparently critical DNA repair genes without any impact on neoplastic development. These findings may have implications for risk prediction and prevention strategies for EOC and possibly for the identification of novel therapeutic targets. Citation Format: Susan J. Ramus, Honglin Song, Ed Dicks, Maria Intermaggio, Jane Hayward, Jonathan P. Tyrer, Jacek Gronwald, Susanne Krüger Kjær, Alice Wittemore, Beth Karlan, Kunle Odunsi, Usha Menon, David D. Bowtell, Ellen L. Goode, Paul D.P. Pharoah, Simon A. Gayther. Whole exome and targeted resequencing, of population based ovarian cancer cases and controls, identifies susceptibility genes for ovarian cancer [abstract]. In: Proceedings of the 10th Biennial Ovarian Cancer Research Symposium; Sep 8-9, 2014; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(16 Suppl):Abstract nr POSTER-CTRL-1213.

Abstract Introduction: The use of multi-drug regimens, including taxanes (T), has increased survival for breast cancer patients. However, T-induced neuropathy, one of the most common side effects, cannot be predicted, prevented or effectively treated. Using genome wide analyses (GWA), we sought to identify common genetic variants that infer susceptibility to clinical and self-reported neuropathy. Methods: Women with high risk breast cancer were enrolled in SWOG 0221, a trial of dosing schedules for AC and T. Genotyping was performed using the Illumina 1M chip and SNPs examined in relation to CTCAE grade 3 and 4 neurotoxicity and self-reported symptoms (FACT-TAXANE) among women providing blood samples. Significant associations were tested for replication in CALGB40101. Results: Among 1269 European Americans (EA) and 139 African Americans (AA) in S0221, there were 147 and 31 grade 3+ neuropathies, respectively. In CALGB40101, grade 3 toxicity was less frequent (59/855 EA and 15/117 AA). In S0221 EA patients, loci on chromosomes 7, 10, 16 and 17 showed associations with grades 3 and 4 neuropathy at p&lt;5×10e-06, with the most significant genetic association on chromosome 17, rs910920, p = 6.8×10e-08, odds ratio (OR) = 0.44 (95% confidence interval (CI), 0.32-0.61); this SNP is a cis eQTL, thought likely to affect transcription factor binding and linked to expression of VPS53 in lymphoblastoid cell lines. While the rs910920 association was specific to EA, the A allele in rs1858826 on chromosome 7 was associated with reduced odds of neuropathy in both EA (p = 7×10e-07) and AA (p = .02) groups. The S0221 associations at p&lt;5×10e-06 did not replicate in CALGB40101. A subset of patients (n = 677 EA and n = 42 AA) completed the FACT-TAXANE. The most significant associations with this neuropathy phenotype (p&lt;5×10e-07) were on chromosomes 2 (rs4267555 and rs4443044) and 3 (rs2421468). Of the 168 SNPs tested for association with neuropathy in previous studies, rs1695 in GSTP1 (p = 0.0009) and rs228591 in ATM (p = 0.0006), showed some evidence of association with FACT-TAXANE scores; the latter SNP was significant at p = .005 in ordinal regression analysis of neuropathy grades 0-4 in CALGB40101. None of these SNPs were significantly associated with grade 3 CTCAE neuropathy at p&lt;.05, nor were the top CTCAE associations in relation to FACT-TAXANE scores. Replication of the most significant S0221 FACT-TAXANE findings in CALGB40101 is ongoing. Conclusions: Failure to replicate S0221 in CALGB40101, and the lack of coherence between self-report and clinical grade in S0221 could be attributable to differences in trial designs as well as differences in defining a complex phenotype. Larger homogeneous trials with similar dosing and criteria for defining neuropathy are needed to assess the relationship of genetics and the neuropathy symptom spectrum. Citation Format: Lara Sucheston-Campbell, Alyssa Clay, William E. Barlow, G Thomas Budd, Dan Stram, Chris Haiman, Li Yan, Gary Zirpoli, Song Yao, Dawn Hershman, Kathy S. Albain, Daniel F. Hayes, Halle Moore, Timothy J. Hobday, James A. Stewart, Claudine Isaacs, Muhammad Salim, Julie R. Gralow, Gabriel N. Hortobagyi, Robert B. Livingston, Xin Sheng, Deanna L. Kroetz, Christine B. Ambrosone. A genome-wide association study identifies novel loci associated with taxane-related sensory neuropathy in breast cancer patients enrolled in a cooperative group clinical trial (SWOG S0221). [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 5489. doi:10.1158/1538-7445.AM2015-5489