Citations

236 Background: Hepatobiliary cancer (HBC), including cholangiocarcinoma, affects over 40,000 people in the U.S. each year, and results in over 30,000 cancer deaths annually. Despite continuing advances in next-generation sequencing (NGS), the understanding of germline genetic risk as it relates to these malignancies remains limited, and guidelines for the germline testing of these patients are lacking. We report the spectrum of pathogenic/likely pathogenic (P/LP) germline genetic variants observed in patients with HBC, and the clinical utility related to germline genetic test results. Methods: We retrospectively studied a consecutive series of 267 patients referred to Invitae for germline genetic testing based on a personal history of HBC, per an IRB approved protocol. Patients were evaluated with a multigene panel of up to 135 genes chosen by the ordering providers. De-identified clinical and family history information were reviewed as provided by clinicians. Results: Among 267 HBC patients 15% (n = 41) had P/LP variants identified in genes including MUTYH, ATM, CHEK2, BAP1, BRCA1, MLH1, BRCA2, PALB2, TP53, APC, CDH1, MSH6, and PMS2 (12% excluding MUTYH heterozygotes). Amongst patients with a family history (FH) of HBC, P/LP rate was 13%; for patients with a FH of cancers other than HBC, P/LP rate was 16%; for patients with no reported FH, P/LP rate was 13%. Conclusions: In this study, 15% of HBC patients had P/LP variants in cancer-risk genes. The clinical utility of these germline P/LP variants includes 32% of patients who were eligible for ongoing clinical treatment trials based on their germline test results (NCT02286687), 60% with clinical management recommendations per current NCCN guidelines, and cascade testing of at risk family members. These data justify comprehensive germline multigene panel testing in all HBC patients, in view of the potential impact on clinical management for a substantial fraction of positive patients as well as facilitating cascade testing for risk assessment of family members.

The processes of mitosis and meiosis are oft-cited and long-standing examples of concepts that are difficult for students to learn and understand. While there are many examples in the literature of “how-to-do-it,” innovative instructional approaches for teaching mitosis and meiosis, publications that include measurement of learning gains are fewer. Moreover, when measurement of learning gains are reported, the outcomes of innovative approaches are most often compared to outcomes from traditional lecture-format instruction. In contrast, this research compares two active-learning approaches to teaching meiosis through modeling in an introductory undergraduate biology course for health sciences majors. Items from the published, validated Meiosis Concept Inventory were used for pre- and post-instruction assessment. In addition, we collected data regarding student perceptions of the learning experience in each modeling scenario through two Likert-scale items and two free-response items. Overall, students demonstrated significant learning gains from pre- to post-assessment. We found no significant differences in performance on the posttest between the two modeling approaches, indicating that the selection of the modeling activity used to support student learning can be made on the basis of other criteria, such as instructor preference, physical classroom layout, or available supplies.

AbstractA major challenge in the development of cancer nanomedicine is the inability for nanomaterials to efficiently penetrate and deliver therapeutic agents into solid tumors. Previous studies have shown that tumor vasculature and extracellular matrix regulate the transvascular and interstitial transport of nanoparticles, both critical for successfully delivering nanomedicine into solid tumors. Within the malignant tumor microenvironment, blood vessels are morphologically abnormal and functionally exhibit substantial permeability. Furthermore, the tumor extracellular matrix (ECM), unlike that of the normal tissue parenchyma, is densely packed with collagen. These pathophysiological properties greatly impede intratumoral delivery of nanomaterials. By using an antivascular endothelial growth factor receptor antibody, DC101, and an antitransforming growth factor β1 (TGF‐β1) antibody, normalization of the tumor vasculature and ECM is achieved, respectively, in a syngeneic murine glioma model. This normalization effect results in a more organized vascular network, improves tissue perfusion, and reduces collagen density, all of which contribute to enhanced nanoparticle delivery and distribution within tumors. These findings suggest that combined vascular and ECM normalization strategies can be used to remodel the tumor microenvironment and improve nanomedicine delivery into solid tumors, which has significant implications for developing more effective combinational therapeutic strategies using cancer nanomedicine.

Summary The World Health Organization has set the goal of reducing the hepatitis‐related mortality rate by 65% between 2015 and 2030. Diagnosis and awareness of infection is the first essential step towards achieving this goal. Our study examined the current awareness rate of chronic viral hepatitis in the United States and the potentially associated factors. In the National Health Nutrition and Examination Survey 2013‐2016, there were 11 488 persons who participated in serology testing for chronic viral hepatitis. We defined chronic hepatitis B virus (HBV) infection by HbsAg, HBV past exposure by anti‐HBc and hepatitis C virus (HCV) infection by HCV RNA. At risk for significant fibrosis was determined by AST to Platelet Ratio Index >0.7. Awareness of chronic HBV infection, past HBV exposure and HCV infection were present in 33.9%, 11.7% and 55.6% of participants, respectively. Among HCV‐infected baby boomers, the awareness was in 61.5%. The awareness of HBV infection was significantly higher in individuals with high education level. Age group (40‐60 years), women, non‐Black race/ethnicity and those with high household income who were born in the United States with insurance plans tend to be aware of their infection. For HCV, awareness was the lowest in Hispanics and Asians, foreign‐born who lived below the federal poverty level and low education level. Awareness among chronic viral hepatitis patients at risk for significant fibrosis was 62.0% in HBV and 38.2% in HCV infection. In conclusion, current awareness of chronic viral hepatitis in the United States remains suboptimal. Active public health policy to identify persons at risk and provide appropriate management is warranted.

Background: Proteomic approaches allow measurement of thousands of proteins in a single specimen, which can accelerate biomarker discovery. However, applying these technologies to massive biobanks is not currently feasible because of the practical barriers and costs of implementing such assays at scale. To overcome these challenges, we used a “virtual proteomic” approach, linking genetically predicted protein levels to clinical diagnoses in >40 000 individuals. Methods: We used genome-wide association data from the Framingham Heart Study (n=759) to construct genetic predictors for 1129 plasma protein levels. We validated the genetic predictors for 268 proteins and used them to compute predicted protein levels in 41 288 genotyped individuals in the Electronic Medical Records and Genomics (eMERGE) cohort. We tested associations for each predicted protein with 1128 clinical phenotypes. Lead associations were validated with directly measured protein levels and either low-density lipoprotein cholesterol or subclinical atherosclerosis in the MDCS (Malmö Diet and Cancer Study; n=651). Results: In the virtual proteomic analysis in eMERGE, 55 proteins were associated with 89 distinct diagnoses at a false discovery rate q<0.1. Among these, 13 associations involved lipid (n=7) or atherosclerosis (n=6) phenotypes. We tested each association for validation in MDCS using directly measured protein levels. At Bonferroni-adjusted significance thresholds, levels of apolipoprotein E isoforms were associated with hyperlipidemia, and circulating C-type lectin domain family 1 member B and platelet-derived growth factor receptor-β predicted subclinical atherosclerosis. Odds ratios for carotid atherosclerosis were 1.31 (95% CI, 1.08–1.58; P =0.006) per 1-SD increment in C-type lectin domain family 1 member B and 0.79 (0.66–0.94; P =0.008) per 1-SD increment in platelet-derived growth factor receptor-β. Conclusions: We demonstrate a biomarker discovery paradigm to identify candidate biomarkers of cardiovascular and other diseases.