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Abstract Introduction Cigarette smoking is highly prevalent among Asian American immigrant subgroups. Previously, Asian-language telephone Quitline services were only available in California. In 2012, the Centers for Disease Control and Prevention (CDC) funded the national Asian Smokers’ Quitline (ASQ) to expand Asian-language Quitline services nationally. However, there are relatively few calls to the ASQ from outside California. Aims and Methods This pilot study assessed the feasibility of two proactive outreach interventions to connect Vietnamese-speaking participants who smoke to the ASQ. Both interventions, (1) proactive telephone outreach with a counselor trained in motivational interviewing (PRO-MI) and (2) proactive telephone outreach with interactive voice response (PRO-IVR), were adapted to be culturally and linguistically appropriate for Vietnamese-speaking participants. Participants were randomly assigned 2:1 to PRO-IVR versus PRO-MI. Assessments were conducted at baseline and 3 months post-enrollment. Feasibility indicators were the recruitment rate and initiation of ASQ treatment. Results Using the HealthPartners electronic health record, a large health system in Minnesota, we identified approximately 343 potentially eligible Vietnamese participants who were mailed invitation letters and baseline surveys with telephone follow-up. We enrolled 86 eligible participants (25% recruitment rate). In the PRO-IVR group 7/58 participants were directly transferred to the ASQ (12% initiation rate) and in the PRO-MI group 8/28 participants were warm transferred to the ASQ (29% initiation rate). Conclusions This pilot study demonstrates the feasibility of our recruitment methods and of implementing proactive outreach interventions to promote the initiation of smoking cessation treatment with the ASQ. Implications This pilot study contributes novel data on the uptake of Asian Smokers’ Quitline (ASQ) services among Vietnamese-speaking people who smoke (PWS) with two proactive outreach interventions: (1) proactive telephone outreach with a counselor trained in motivational interviewing (PRO-MI) and (2) proactive telephone outreach with interactive voice response (PRO-IVR). We found that it is feasible to implement these proactive outreach interventions to promote the initiation of ASQ cessation treatment among Vietnamese-language speaking PWS. Future large trials are needed to rigorously compare PRO-MI and PRO-IVR and conduct budget impact analyses to understand the most efficient strategies for incorporation into health system settings.

Background and Aims: The presence of at-risk NASH is associated with an increased risk of cirrhosis and complications. Therefore, noninvasive identification of at-risk NASH with an accurate biomarker is a critical need for pharmacologic therapy. We aim to explore the performance of several magnetic resonance (MR)-based imaging parameters in diagnosing at-risk NASH. Approach and Results: This prospective clinical trial (NCT02565446) includes 104 paired MR examinations and liver biopsies performed in patients with suspected or diagnosed NAFLD. Magnetic resonance elastography-assessed liver stiffness (LS), 6-point Dixon-derived proton density fat fraction (PDFF), and single-point saturation-recovery acquisition-calculated T1 relaxation time were explored. Among all predictors, LS showed the significantly highest accuracy in diagnosing at-risk NASH [AUCLS: 0.89 (0.82, 0.95), AUCPDFF: 0.70 (0.58, 0.81), AUCT1: 0.72 (0.61, 0.82), z-score test z >1.96 for LS vs any of others]. The optimal cutoff value of LS to identify at-risk NASH patients was 3.3 kPa (sensitivity: 79%, specificity: 82%, negative predictive value: 91%), whereas the optimal cutoff value of T1 was 850 ms (sensitivity: 75%, specificity: 63%, and negative predictive value: 87%). PDFF had the highest performance in diagnosing NASH with any fibrosis stage [AUCPDFF: 0.82 (0.72, 0.91), AUCLS: 0.73 (0.63, 0.84), AUCT1: 0.72 (0.61, 0.83), |z| <1.96 for all]. Conclusion: Magnetic resonance elastography-assessed LS alone outperformed PDFF, and T1 in identifying patients with at-risk NASH for therapeutic trials.

Abstract Background: acquisition of somatic mutations including JAK2V617F or MPLW515L/K results in constitutive activation of JAK-STAT signaling that commonly characterizes myeloproliferative disorders (MPD). JAK2 is the central signaling mediator for most hematopoietic cytokines in this signaling pathway. Hypothesis: small molecule JAK2 inhibitors may have a therapeutic role in MPD regardless of JAK2 mutation status. Methods: We studied effects of the JAK2 inhibitor, TG101209, in a cell-free kinase assay, relevant cell lines, an in vivo phosphorylation assay, and primary cells from MPD patients carrying JAK2V617F or MPLW515L/K mutations. Results: in a cell-free kinase assay, TG101209 inhibited JAK2 potently (IC50=6nM) and displayed selectivity relative to JAK3, ABL, and VEGFR2 kinases (IC50=170nM, 820nM, and 150nM, respectively). In cell proliferation assays, TG101209 inhibited JAK2-expressing Ba/F3 cells (IC50=280nM) and JAK2V617F-homozygous human erythroleukemia (HEL) cells (IC50=300nM), but not BCR-ABL-carrying K562 cells (IC50>2μM). At 24 hours, TG101209 (600nM) induced apoptosis of HEL cells but not K562 cells (40% and 5%, respectively). SCID mice injected intravenously with Ba/F3-JAK2V617F cells developed significant disease burden including massive splenomegaly due to tumor infiltration (day 12). We observed marked decrease in STAT5 phosphorylation in splenic tumors 5 hours after administration of 2 oral doses of TG101209 (50 mg/kg) in this in vivo model. Based on the above data, we plated patient-derived CD34+ cells in methylcellulose (0nM, 300nM, and 600nM TG101209) with and without cytokines. We studied 2 controls and 9 MPD patients: PV=5 (all JAK2V617F+) and AMM=4 (3 were MPLW515L/K+) for colony number, colony size, and colony mutation burden, under each assay condition. TG101209 inhibited overall colony growth from MPD patients (IC50=300–600nM), and it preferentially suppressed growth of mutant colonies relative to wild type in both of 2 MPLW515K+ patients (AMM1 and AMM2) and in 3 of 5 JAK2V617+ patients (PV1-PV3) (Table). Conclusions: TG101209 potently inhibits cell growth that is dependent on constitutive JAK-STAT signaling. Furthermore, for MPD patient-derived cells, TG101209 preferentially suppresses growth of progenitors carrying JAK-activating mutations (MPLW515K>JAK2V617F>MPLW515L). Hence, our data supports the strategy of targeting aberrant JAK-pathway signaling in MPD as a viable therapeutic approach. Patient Mutation IC50 (nM) No Drug (% colonies mutation-positive) TG101209 (% colonies mutation-positive) Erythroid Myeloid Erythroid Myeloid Erythroid Myeloid Normal WT 1000 600 n/a PV1 JAK2V617F ~600 300–600 82 90 36 70 PV2 JAK2V617F ~300 70 55 60 20 PV3 JAK2V617F NA 20 30 30 0 PV4 JAK2V617F >600 ~600 7 10 17 10 PV5 JAK2V617F ~300 300–600 64 92 82 100 AMM1 MPLW515K <300 ~300 100 90 0 20 AMM2 MPLW515K 300–600 ~300 100 90 25 36 AMM3 MPLW515L 300–600 300–600 100 100 92 90 AMM4 WT >600 300–600 n/a

Tumor-initiating cells (TIC) are dynamic cancer cell subsets that display enhanced tumor functions and resilience to treatment but the mechanism of TIC induction or maintenance in lung cancer is not fully understood. In this study, we show the calcium pathway transcription factor NFATc2 is a novel regulator of lung TIC phenotypes, including tumorspheres, cell motility, tumorigenesis, as well as in vitro and in vivo responses to chemotherapy and targeted therapy. In human lung cancers, high NFATc2 expression predicted poor tumor differentiation, adverse recurrence-free and cancer-specific overall survivals. Mechanistic investigations identified NFATc2 response elements in the 3’ enhancer region of SOX2, and NFATc2/SOX2 coupling upregulates ALDH1A1 by binding to its 5’ enhancer. Through this axis, oxidative stress induced by cancer drug treatment is attenuated, leading to increased resistance in a mutation-independent manner. Targeting this axis provides a novel approach for the long-term treatment of lung cancer through TIC elimination.

Abstract Motivation: Prediction and prioritization of human non-coding regulatory variants is critical for understanding the regulatory mechanisms of disease pathogenesis and promoting personalized medicine. Existing tools utilize functional genomics data and evolutionary information to evaluate the pathogenicity or regulatory functions of non-coding variants. However, different algorithms lead to inconsistent and even conflicting predictions. Combining multiple methods may increase accuracy in regulatory variant prediction. Results: Here, we compiled an integrative resource for predictions from eight different tools on functional annotation of non-coding variants. We further developed a composite strategy to integrate multiple predictions and computed the composite likelihood of a given variant being regulatory variant. Benchmarked by multiple independent causal variants datasets, we demonstrated that our composite model significantly improves the prediction performance. Availability and Implementation: We implemented our model and scoring procedure as a tool, named PRVCS, which is freely available to academic and non-profit usage at http://jjwanglab.org/PRVCS. Contact: wang.junwen@mayo.edu, jliu@stat.harvard.edu, or limx54@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.