Citations

SummaryFactors influencing the morbidity and mortality associated with viremic hepatitis C virus (HCV) infection change over time and place, making it difficult to compare reported estimates. Models were developed for 17 countries (Bahrain, Bulgaria, Cameroon, Colombia, Croatia, Dominican Republic, Ethiopia, Ghana, Hong Kong, Jordan, Kazakhstan, Malaysia, Morocco, Nigeria, Qatar and Taiwan) to quantify and characterize the viremic population as well as forecast the changes in the infected population and the corresponding disease burden from 2015 to 2030. Model inputs were agreed upon through expert consensus, and a standardized methodology was followed to allow for comparison across countries. The viremic prevalence is expected to remain constant or decline in all but four countries (Ethiopia, Ghana, Jordan and Oman); however, HCV‐related morbidity and mortality will increase in all countries except Qatar and Taiwan. In Qatar, the high‐treatment rate will contribute to a reduction in total cases and HCV‐related morbidity by 2030. In the remaining countries, however, the current treatment paradigm will be insufficient to achieve large reductions in HCV‐related morbidity and mortality.

SummaryThe hepatitis C virus (HCV) epidemic was forecasted through 2030 for 17 countries in Africa, Asia, Europe, Latin America and the Middle East, and interventions for achieving the Global Health Sector Strategy on viral hepatitis targets—“WHO Targets” (65% reduction in HCV‐related deaths, 90% reduction in new infections and 90% of infections diagnosed by 2030) were considered. Scaling up treatment and diagnosis rates over time would be required to achieve these targets in all but one country, even with the introduction of high SVR therapies. The scenarios developed to achieve the WHO Targets in all countries studied assumed the implementation of national policies to prevent new infections and to diagnose current infections through screening.

Background There are few data describing the longitudinal use of and adherence to heart failure medications following left ventricular assist device (LVAD) implantation. Methods and Results Using a large US commercial insurance database, patients who received an LVAD ( International Classification of Diseases, 9th Revision, Clinical Modification code 37.66) and survived to hospital discharge without heart transplantation between January 1, 2006, and March 31, 2015, were identified. Heart failure medication use from 3 months before 1‐year post‐ LVAD was examined using linked pharmacy claims. Differences in the proportion of patients taking heart failure medications post LVAD compared with pre LVAD were examined using McNemar test. Predictors of post‐ LVAD medication use and poor medication adherence (proportion of days covered <0.8) were identified via logistic regression. Among 362 patients (mean age, 57.4 years; 75.1% men), compared with pre LVAD , the proportion of patients taking anticoagulants and antiarrhythmics following LVAD increased; mineralocorticoid receptor antagonists, thiazide diuretics, and digoxin decreased; and β‐blockers, angiotensin‐converting enzyme inhibitors/angiotensin receptor blockers, and loop diuretics did not change. Pre‐ LVAD medication use was associated with post‐ LVAD use across all medication classes. The proportion of patients with poor medication adherence was 28.8%, 39.0%, and 36.0% for β‐blockers, angiotensin‐converting enzyme inhibitors/angiotensin receptor blockers, and anticoagulants, respectively. Many patients with poor adherence completely discontinued use of the medication. Conclusions Neurohormonal antagonist use after LVAD was inconsistent, perhaps reflecting uncertainty of therapeutic benefit in this population. Medication adherence post‐ LVAD was poor in many patients. Further work is needed to delineate the reasons for nonadherence after LVAD .

PurposeTo investigate the feasibility of substantially reducing acoustic noise while performing diffusion tensor imaging (DTI) on a compact 3T (C3T) MRI scanner equipped with a 42‐cm inner‐diameter asymmetric gradient.MethodsA‐weighted acoustic measurements were made using 10 mT/m‐amplitude sinusoidal waveforms, corresponding to echo‐planar imaging (EPI) echo spacing of 0.25 to 5.0 ms, on a conventional, whole‐body 3T MRI and on the C3T. Acoustic measurements of DTI with trapezoidal EPI waveforms were then made at peak gradient performance on the C3T (80 mT/m amplitude, 700 T/m/s slew rate) and at derated performance (33 mT/m, 10 to 50 T/m/s) for acoustic noise reduction. DTI was acquired in two different phantoms and in seven human subjects, with and without gradient‐derating corresponding to multi‐ and single‐shot acquisitions, respectively.ResultsSinusoidal waveforms on the C3T were quieter by 8.5 to 15.6 A‐weighted decibels (dBA) on average as compared to the whole‐body MRI. The derated multishot DTI acquisition noise level was only 8.7 dBA (at 13 T/m/s slew rate) above ambient, and was quieter than non‐derated, single‐shot DTI by 22.3 dBA; however, the scan time was almost quadrupled. Although derating resulted in negligible diffusivity differences in the phantoms, small biases in diffusivity measurements were observed in human subjects (apparent diffusion coefficient = +9.3 ± 8.8%, fractional anisotropy = +3.2 ± 11.2%, radial diffusivity = +9.4 ± 16.8%, parallel diffusivity = +10.3 ± 8.4%).ConclusionThe feasibility of achieving reduced acoustic noise levels with whole‐brain DTI on the C3T MRI was demonstrated. Magn Reson Med 79:2902–2911, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Background Docetaxel has recently been found to improve survival in patients with metastatic androgen-independent prostate cancer (AIPC). Chemotherapy as a first-line option leaves room for improvement, while second-line options are multiple and somewhat controversial. Methods Clinically relevant articles focusing on chemotherapy drugs for metastatic prostate cancer and their mechanism of action and efficacy were reviewed from January 2004 through April 2006. Results Docetaxel is the standard of care for AIPC. However, for doublets with docetaxel or second-line chemotherapy, multiple studies have shown interesting and promising results with calcitriol, thalidomide, bevacizumab, satraplatin, vaccines, ixabepilone, and atrasentan. Conclusions Docetaxel should be considered for first-line treatment of metastatic AIPC. Due to its progression-free survival of only 6 months, more effective drugs and drug combinations need to be developed to treat patients with AIPC. Combination treatments with docetaxel and other new agents are promising, but adequately powered phase III trials need to be conducted with survival as the principal endpoint for these promising drug combinations.

Abstract Mutant peptides presented in cancer are superior vaccine candidates than self peptides. The efficacy of mutant K-Ras, P53 and EFGR peptides have been tested as cancer vaccines in pancreatic cancer, colorectal cancer, and lung adenocarcinoma. However, the occurrence of these mutations in cancer is limited. Further more, these mutant peptides can only be presented by certain MHC alleles. Neoantigens expressed by passenger mutations which are not involved in common proliferative molecular pathways are potential candidates for personalized vaccine design. Such passenger mutations have drawn attention by the recent clinical data that colorectal cancer with a large number of somatic mutations due to mismatch-repair defects are more susceptible to immune checkpoint blockade by PD1 antibody therapy. In this study, we analyzed the next generation sequencing data of 147 lung adenocarcinoma patients from The Cancer Genome Atlas and predicted neoantigens presented by MHC Class I and Class II molecules. We found 18175 expressed clonal somatic mutations, with an average of 124 per patient. Based on such somatic mutations, we predicted 8731 neo-peptides, among which 3888 strong-binders and 4843 weak-binders to MHC Class I molecules were found by NetMHCPan. For HLA-A*02:01, 778 strong binding and 822 weak binding neo-peptides were found. In average, 11 neo-antigen peptides of mutations were predicted per individual patient with HLA-A*02:01 allele. Smokers expressed 5.73 fold higher mutant neo-antigen peptides than non-smokers. The 20 most commonly mutated genes with predicted neo-antigens are TTN, RYR2, MUC16, KRAS, ZFHX4, TP53, USH2A, NAV3, KEAP1, ANK2, DNAH9, ADAMTS12, CSMD1, CSMD3, SPTA1, FAT3, ZNF804A, PAPPA2, PCLO, EGFR. As a positive control, the frequency of known proliferation-related mutations (KRAS, P53, and EGFR) were determined in 147 patients, which are consistent with previously next generation sequencing studies of lung adenocarcinoma. Mutation hotspots were found in proliferation-related mutations (KRAS), but not in passenger mutations. 6950 neo-peptides, including 259 strong binders and 6691 weak binders were found for HLA DRB1, an MHC Class II molecule. INDEL mutation type of neo-epitopes were found in 119 of 147 patients, with an average of 4.34 INDEL mutations presented by MHC Class I and 0.86 INDEL mutations presented by MHC Class II molecule HLA DRB1 in every patient. Our results support the feasibility of discovering individualized mutant peptides as candidates for immunodiagnosis and immunotherapy of lung adenocarcinoma. Neo-epitopes which can be presented by both MHC Class I and MHC Class II molecules are attractive targets for designing long-peptide vaccines. Note: This abstract was not presented at the meeting. Citation Format: Dapeng Zhou, Weijing Cai, Deng Pan, Tan Wen Ling, Jiaqian Wang, Caichun Zhou, Yanyan Lou. Neoantigens predicted by clonal mutation analysis in lung adenocarcinoma patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 628. doi:10.1158/1538-7445.AM2017-628

Abstract Purpose: Growing mechanistic and epidemiologic evidence suggests that both metformin and statins have anti-cancer effects and are associated with reduced pancreatic cancer mortality. However, the joint effect of combination statin/metformin on pancreatic cancer mortality is unknown. By applying a robust analytic approach, we aim to examine the association between metformin and/or statin use and overall survival in a large cohort of patients with primary pancreatic adenocarcinoma (PDAC). Patients and Methods: 12,572 elderly patients with primary PDAC diagnosed between 2008 and 2012 were identified by using the Surveillance, Epidemiology, and End Results (SEER), and the detailed information on metformin and statin use was extracted from Medicare Part D. A Cox proportional hazard model with time-varying covariate adjusted for the propensity score was applied to assess the association of metformin and /or statin use with overall survival while controlling for potential confounders. Results: Of total 12,572 PDAC patients (median age = 76 years), 11,526 (91.77%) patients died before the study ended with a median follow-up of 3.8 months (interquartile range: 1.4-10.1). By the time-varying covariate analysis, statin use was significantly associated with an improved overall survival [Hazard ratio (HR), 0.938; 95% confidence interval (CI), 0.898 to 0.979], and more pronounced in post-diagnosis statin users (HR, 0.693; 95% CI, 0.555 to 0.864). However, metformin use was not significantly associated with overall survival (HR, 1.011; 95% CI, 0.939 to 1.091), neither in pre-diagnosis users (HR, 1.015; 95% CI, 0.970 to 1.061) nor in post-diagnosis users (HR, 0.990; 95% CI, 0.866 to 1.131). Additionally, no superior beneficial effect was observed for dual users (HR, 0.998; 95% CI, 0.947 to 1.053). Conclusions: Exposures to statin, not metformin, was significantly associated with reduced overall mortality of PDAC, indicating potential benefits of statin use on improving survival among PDAC patients. Further prospective validation is required to confirm these findings. Citation Format: Jian-Yu E, Shou-En Lu, Yong Lin, Judith M. Graber, David Rotter, Lanjing Zhang, Gloria M. Petersen, Kitaw Demissie, Grace Lu-Yao, Xiang-Lin Tan. Effects of concomitant metformin and statins on overall survival of pancreatic cancer patients: results from SEER-Medicare data analyses [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3288. doi:10.1158/1538-7445.AM2017-3288

Background: Serious adverse events (SAEs) and subject replacements occur frequently in phase 1 oncology clinical trials. Whether baseline quality-of-life (QOL) or social support can predict risk for SAEs or subject replacement among these patients is not known. Methods: Between 2011–2013, 92 patients undergoing screening for enrollment into one of 22 phase 1 solid tumor clinical trials at Roswell Park Cancer Institute were included in this study. QOL Questionnaires (EORTC QLQ-C30 and FACT-G), Medical Outcomes Study Social Support Survey (MOSSSS), Charlson comorbidity scores (CCS) and Royal Marsden scores (RMS) were obtained at baseline. Frequency of dose limiting toxicities (DLTs), subject replacement and SAEs that occurred within the first 4 cycles of treatment were recorded. Fisher’s exact test and Mann-Whitney-Wilcoxon test were used to study the association between categorical and continuous variables, respectively. A linear transformation was used to standardize QOL scores. p-value ≤ 0.05 was considered statistically significant. Results: Baseline QOL, MOSSSS, CCS and RMS were not associated with subject replacement nor DLTs. Baseline EORTC QLQ-C30 scores were significantly lower among patients who encountered SAEs within the first 4 cycles (p = 0.04). Conclusions: Lower (worse) EORTC QLQ-C30 score at baseline is associated with SAE occurrence during phase 1 oncology trials.

Abstract Background: Published evidence indicates that individual use of metformin and statin is associated with reduced cancer mortality. However, their differential and joint effects on pancreatic cancer survival are inconclusive. Methods: We identified a large population-based cohort of 12,572 patients ages 65 years or older with primary pancreatic ductal adenocarcinoma (PDAC) diagnosed between 2008 and 2011 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database. Exposure to metformin and statins was ascertained from Medicare Prescription Drug Event files. Cox proportional hazards models with time-varying covariates adjusted for propensity scores were used to assess the association while controlling for potential confounders. Results: Of 12,572 PDAC patients, 950 (7.56%) had used metformin alone, 4,506 (35.84%) had used statin alone, and 2,445 (19.45%) were dual users. Statin use was significantly associated with improved overall survival [HR, 0.94; 95% confidence interval (CI), 0.90–0.98], and survival was more pronounced in postdiagnosis statin users (HR, 0.69; 95% CI, 0.56–0.86). Metformin use was not significantly associated with overall survival (HR, 1.01; 95% CI, 0.94–1.09). No beneficial effect was observed for dual users (HR, 1.00; 95% CI, 0.95–1.05). Conclusions: Our findings suggest potential benefits of statins on improving survival among elderly PDAC patients; further prospective studies are warranted to corroborate the putative benefit of statin therapy in pancreatic cancer. Impact: Although more studies are needed to confirm our findings, our data add to the body of evidence on potential anticancer effects of statins. Cancer Epidemiol Biomarkers Prev; 26(8); 1225–32. ©2017 AACR.