Citations

Chronic passive hepatic congestion (congestive hepatopathy) leads to hepatic fibrosis; however, the mechanisms involved in this process are not well understood. We developed a murine experimental model of congestive hepatopathy through partial ligation of the inferior vena cava (pIVCL). C57BL/6 and transgenic mice overexpressing tissue factor pathway inhibitor (SM22α‐TFPI) were subjected to pIVCL or sham. Liver and blood samples were collected and analyzed in immunohistochemical, morphometric, real‐time polymerase chain reaction, and western blot assays. Hepatic fibrosis and portal pressure were significantly increased after pIVCL concurrent with hepatic stellate cell (HSC) activation. Liver stiffness, as assessed by magnetic resonance elastography, correlated with portal pressure and preceded fibrosis in our model. Hepatic sinusoidal thrombosis as evidenced by fibrin deposition was demonstrated both in mice after pIVCL as well as in humans with congestive hepatopathy. Warfarin treatment and TFPI overexpression both had a protective effect on fibrosis development and HSC activation after pIVCL. In vitro studies show that congestion stimulates HSC fibronectin (FN) fibril assembly through direct effects of thrombi as well as by virtue of mechanical strain. Pretreatment with either Mab13 or Cytochalasin‐D, to inhibit β‐integrin or actin polymerization, respectively, significantly reduced fibrin and stretch‐induced FN fibril assembly. Conclusion : Chronic hepatic congestion leads to sinusoidal thrombosis and strain, which in turn promote hepatic fibrosis. These studies mechanistically link congestive hepatopathy to hepatic fibrosis. (H epatology 2015;61:648‐659)

ObjectivesIndividuals with bipolar disorder have high rates of other medical comorbidity, which is associated with higher mortality rates and worse course of illness. The present study examined common predictors of medical comorbidity.MethodsThe Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE) enrolled 482 participants with bipolar I or bipolar II disorder in a six‐month, randomized comparative effectiveness trial. Baseline assessments included current and lifetime DSM‐IV‐TR diagnoses, demographic information, psychiatric and medical history, severity of psychiatric symptoms, level of functioning, and a fasting blood draw. Medical comorbidities were categorized into two groups: cardiometabolic (e.g., diabetes, hyperlipidemia, and metabolic syndrome) and non‐cardiovascular (e.g., seizures, asthma, and cancer). Additionally, we looked at comorbid substance use (e.g., smoking and drug dependence).ResultsWe found that 96.3% of participants had at least one other medical comorbidity. Older age predicted a greater likelihood of having a cardiometabolic condition. Early age of onset of bipolar symptoms was associated with a lower chance of having a cardiometabolic condition, but a greater chance of having other types of medical comorbidity. Additional predictors of other medical comorbidities in bipolar disorder included more time spent depressed, less time spent manic/hypomanic, and longer duration of illness. Medications associated with weight gain were associated with low high‐density lipoprotein and abnormal triglycerides.ConclusionsThere appears to be a substantial medical burden associated with bipolar disorder, highlighting the need for collaborative care among psychiatric and general medical providers to address both psychiatric and other medical needs concomitantly in this group of patients.

Abstract Background: Genetic and environmental factors influence colorectal cancer (CRC) risk. Previous studies have provided additional etiologic insight by examining multiplicative gene-environment interactions for individual susceptibility loci. However, individual loci confer only modest risks, which may limit statistical power and clinical significance. A genetic risk score comprising known CRC loci may provide a more comprehensive assessment of risk. Further, there is a paucity of data on the role of additive gene-environment interactions, which may have greater public health implications than multiplicative interactions. We thus evaluated both additive and multiplicative interactions between a genetic risk score and 15 key environmental factors on risk of CRC. Methods: We conducted an analysis of 10,491 CRC cases and 10,725 controls of European ancestry in 7 cohort and 6 case-control studies participating in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) or Colon Cancer Family Registry (CCFR). To provide a global measure of genetic predisposition, information across multiple risk variants was combined by calculating a genetic risk score based on 24 polymorphisms near 21 genetic loci identified in previous genome-wide association studies. For the genetic score and environmental factors, the reference category corresponded to that associated with lower CRC risk. We tested for additive interactions by estimating relative excess risk due to interactions (RERIs) using logistic regression; for multiplicative interactions we used an empirical-Bayes approach. Nominal P values ≤ 0.05 were considered statistically significant. Results: After adjustment for age, sex, center, study, principal components, and total energy, as appropriate, we observed super-additive gene-environment interactions for CRC risk between the genetic risk score and body mass index (RERI=0.15; 95% CI: 0.00-0.31), ever smoking (RERI=0.14; 95% CI: 0.00-0.28), pack-years of smoking (RERI=0.23; 95% CI: 0.05-0.41), postmenopausal hormone therapy use (RERI=0.38; 95% CI: 0.17-0.59), and intake of processed meat (RERI=0.23; 95% CI: 0.06-0.40). Of the 15 environmental risk factors, 12 showed RERIs > 0 – suggesting an overall trend toward super-additive interactions for these factors. In addition, we observed evidence of sub-multiplicative interactions for use of aspirin and non-steroidal anti-inflammatory drugs. There were no other statistically significant multiplicative interactions. Conclusions: We observed evidence for super-additive effects of genetic predisposition and environmental risk factors on risk of CRC. Our findings suggest that certain environmental risk factors have stronger effects on absolute risk among individuals with higher genetic risk of CRC. If confirmed in future studies, these results may have implications for targeted prevention strategies. Citation Format: Mengmeng Du, Sonja I. Berndt, Hermann Brenner, Bette J. Caan, Peter T. Campbell, Graham Casey, Andrew Chan, Jenny Chang-Claude, Stephen J. Chanock, Nilanjan Chatterjee, David V. Conti, David Duggan, Jane C. Figueiredo, Steven Gallinger, Jian Gong, Robert W. Haile, Tabitha A. Harrison, Richard B. Hayes, Michael Hoffmeister, John L. Hopper, Li Hsu, Thomas J. Hudson, Carolyn M. Hutter, Eric J. Jacobs, Mark A. Jenkins, Shuo Jiao, Laurence N. Kolonel, Peter Kraft, Loic Le Marchand, Mathieu Lemire, Yi Lin, Noralane M. Lindor, Polly A. Newcomb, John D. Potter, Robert E. Schoen, Fredrick R. Schumacher, Daniela Seminara, Martha L. Slattery, Stephen N. Thibodeau, Cornelia M. Ulrich, Aung Ko Win, Emily White, Brent W. Zanke, Ulrike Peters. Additive and multiplicative gene-environment interactions for colorectal cancer risk. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4831. doi:10.1158/1538-7445.AM2013-4831

Abstract Background: Endometrial cancers account for over 46,000 cases and 8,100 deaths annually in the U.S. Endometrial cancers that are confined to the uterus portend an excellent prognosis, suggesting that development of early detection methods for these tumors could reduce mortality. To identify and validate markers with potential utility in early detection of endometrial cancers, we compared DNA methylation profiling data for endometrial cancer tissues collected in a population-based epidemiological study and a comparison set of benign endometrial tissues, and replicated promising candidates in a separate clinical study. Methods: We used the Illumina Golden Gate platform to profile DNA methylation of CpGs at 1536 sites (807 genes) using fixed tissues from 148 endometrial cancers included in the population-based Polish Endometrial Cancer Study (cases) and 23 benign endometrial tissues collected at Magee Women's Hospital (controls). Tissue cores (1.0-mm) removed from target-rich areas of blocks were used for DNA extraction, bisulfite treatment and profiling. We replicated top candidate markers by applying pyrosequencing assays to endometrial brushings performed prior to hysterectomy among 38 women with endometrial cancer and 37 with benign gynecological diseases treated at the Mayo Clinic and calculated odds ratios comparing the highest tertile of methylation values in controls for each marker with middle and low tertiles. In addition, we assessed discrimination across the whole range of cutoffs using Receiver Operator Characteristics (ROC) curves. Results: Methylation profiling identified 114 CpG sites with differential methylation levels between cases and controls (P≤10-7). Eight genes (ADCYAP1, ASCL2, HS3ST2, HTR1B, MME, NPY, and SOX1) which showed large case-control differences in methylation levels (≥ 0.4), and low values in controls (<0.2) were chosen for replication by pyrosequencing in pre-hysterectomy patients. In the replication study, higher methylation levels were found for 7 of 8 genes in endometrial brush samples from women with cancer as compared to women without cancer. In the replication study, odds ratios for association of methylation markers with endometrial cancer ranged from 3.6 (95%-CI: 1.35-9.47) for HTR1B to 10.9 (95%-CI: 3.23-36.91) for ASCL2. Discrimination of cases and controls was best for ADCYAP1 (area under ROC curve=0.89; 95% CI: 0.80-0.97), CDH13 (0.87; 95% CI: 0.80-0.97), and MME (0.87; 95% CI: 0.78-0.97). Conclusions: Analysis of DNA methylation markers in endometrial brushings is strongly associated with prevalent endometrial cancer at hysterectomy. Development and validation of a robust early detection marker panel for endometrial cancers, including non-endometrioid cancers and precursor lesions is ongoing. Citation Format: Nicolas A. Wentzensen, Jamie Bakkum, Keith Killian, Viji Shridhar, Lisa Adams, Richard Guido, Lori D'Ambrosio, Patricia Luhn, Joshua Sampson, Hannah Yang, Louise Brinton, Jolanta Lissowska, Karl Podratz, Mark Sherman. Discovery and validation of methylation markers for early detection of endometrial cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3477. doi:10.1158/1538-7445.AM2013-3477

Abstract Resistance to temozolomide (TMZ) in the majority of glioblastoma multiforme (GBM) is mediated by O6-methylguanine methyltransferase (MGMT). In this study, the efficacy of TMZ, a mono-functional methylating agent, was compared to a bi-functional TMZ analog (DP68) and a corresponding mono-functional TMZ analog (DP86) in established glioma lines (T98, U251), primary GBM xenograft lines (GBM12, GBM22, GBM6) and a TMZ-resistant model with high level MGMT expression (GBM12TMZ). Using a combination of CyQuant and neurosphere assays, the IC50 with TMZ treatment for MGMT expressing lines (U251, GBM12, GBM22) was much lower than non-expressing lines (T98, G6, G12TMZ), while all lines were sensitive to DP68 regardless of MGMT status (see Table). In the same assays, cells were less sensitive to DP86, but cytotoxicity was also independent of MGMT status. In both U251 and T98, DP68 resulted in a time-and dose-dependent induction of markers for DNA damage and checkpoint activation (P-H2AX, ATM, KAP1, Chk1 and Chk2) and a pronounced S-phase arrest within 24 hours of treatment. Based on these results and the hypothesis that DP68 induces DNA cross-links, siRNA knockdown was used to further dissect the importance of the ATM and ATR signaling pathways and the Fanconi Anemia (FA) cross-link repair pathway for DP68 cytotoxicity. Compared to no treatment, 1 microM DP68 resulted in 100% relative absorbance in siCONtrol transfected U251 cells, 41% for siATR, 35% for siFANCD2 and 90% for siATM. In contrast, only siATR and not siFAND2 nor siATM sensitized U251 cells to DP86. Similarly, inhibition of ATR (VE-821), but not ATM (KU-60019) potently sensitized cells to DP68 (see Table). Taken together, the inhibitory effects of DP68 are superior to TMZ in the GBM cell lines tested, regardless of MGMT expression. Furthermore, the siRNA and western blotting suggest that recovery from DP68 is dependent on ATR and the FA repair pathway. TMZ (IC50, microM) DP68 (IC50, microM)) DP86 (IC50, microM)) CyQuant Ctrl 1uM VE-821 1uM KU-60019 Ctrl 1uM VE-821 1uM KU-60019 Ctrl 1uM VE-821 1uM KU-60019 U251 25 20 20 2.5 0.8 2.1 70 40 65 T98 >320 200 260 9 2 7 115 60 115 Neurosphere Ctrl VE-821 KU-60019 Ctrl VE-821 KU-60019 Ctrl VE-821 KU-60019 G12 4 3.2 4.2 0.9 0.08 0.7 18 6 18 G22 40 NA NA 1 NA NA 40 NA NA G6 160 NA NA 0.5 NA NA 15 NA NA G12TMZ >300 NA NA 2 NA NA 22 NA NA Citation Format: Ann C. Mladek Tuma, Yulian Ramirez, Dimitrios Pletsas, Richard T. Wheelhouse, Roger M. Phillips, Ross H. Alonzo, Kaitlyn Knudson, Jann N. Sarkaria. Cytotoxicity of a novel bi-functional temozolomide analog, DP68, is independent of MGMT status in glioblastoma models. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4476. doi:10.1158/1538-7445.AM2013-4476

Abstract Definitive radiotherapy combined with chemotherapy is associated with enhanced locoregional control and clinical outcomes in non-small cell lung cancer (NSCLC) patients who are not candidates for surgery. However, radiation-induced pneumonitis and esophagitis are common dose-limiting inflammatory conditions that occur in these patients. These events can compromise the effect of the overall treatment and reduce quality of life in these patients. It is not clear what factors contribute to differences in the development of toxicities among patients with same clinical or dosimetric parameters. In this study, we conducted a large scale pathway-based analysis to identify inflammation-related genetic variants associated with radiation-induced pneumonitis or esophagitis. In the initial discovery phase, 11,930 inflammation-related genetic variants were genotyped in 243 stage I-III NSCLC patients who were treated with definitive radiotherapy at MD Anderson Cancer Center. A fast-track validation was performed for the top candidate SNPs in an additional 212 NSCLC cases following the same criteria. A total of 14 SNPs and 12 SNPs were validated for pneumonitis and esophagitis, respectively. Meta-analysis was used to summarize the results from two phases. The most significant SNPs for esophagitis and pneumonitis mapped to chromosome 18p (OR=9.05, 95%CI=2.68-30.59, P-meta=3.90×10−4) and 14q (OR=4.75, 95%CI=2.17-10.41, P-meta =9.61×10−5), respectively. To explore the potential underlying mechanisms, we analyzed radiation sensitivity and eQTL relationships of the identified SNPs and their host genes in 277 ethnically defined human lymphoblastoid cell lines. Among the 24 host genes for the 26 identified SNPs, three genes (DDX58, GZMB, CDC2) showed significant association with radiation responses in these cell lines (P<0.05). Moreover, a significant eQTL relationship was identified between CDC2 expression and the genotype of the identified CDC2 SNP (P=0.022). Interestingly, this CDC2 SNP is predicted to create a new miRNA binding site. Luciferase reporter assays to test the influence of this SNP on miRNA regulation is currently ongoing. Our results provide evidence that inflammation-related genetic variants contribute to the development of radiation-induced pneumonitis and esophagitis. The results also suggest that gene expression changes through altered miRNA binding may be an underlying mechanism for these events. Citation Format: Xia Pu, Liewei Wang, Michelle AT Hildebrandt, Yuanqing Ye, Joe Y. Chang, Charles Lu, Heath D. Skinner, Nifang Niu, Gregory D. Jenkins, Ritsuko Komaki, John D. Minna, Jack A. Roth, Richard M. Weinshilboum, Xifeng Wu. Inflammation-related genetic variants predict radiation-induced toxicity following definitive radiotherapy for non-small cell lung cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3626. doi:10.1158/1538-7445.AM2013-3626