Citations

Objective The objective of this research paper is to compare antibiotic treatment, follow-up rates, and types of follow-up encounters among eVisits, phone calls, and in-person encounters for pediatric conjunctivitis. Study design A retrospective chart review of pediatric patients evaluated for conjunctivitis between May 1, 2016 and May 1, 2017, was performed. A total of 101 eVisits, 202 in-person retail clinic visits, and 202 nurse phone calls for conjunctivitis were manually reviewed for outcomes. Exclusion criteria included previous encounter for conjunctivitis in the past 14 days, treatment with an oral antibiotic at the initial encounter, or patient outside Minnesota at the time of encounter. Comparison among the three encounter types with regard to follow-up rates, follow-up encounter type within 14 days of initial evaluation, and prescribing rates was performed. Results Patients completing non-face-to-face encounters were significantly more likely to have follow-up care (34.6% and 45.5%) than those who had a face-to-face visit at the retail clinic (7.4%), p ≤ 0.0001. Patients initially evaluated by eVisit were more likely to have follow-up at the retail clinic while patients initially evaluated by phone call were more likely to have follow-up in their primary care office. Treatment rates with antibiotics were significantly higher in phone call encounters (41.6%) than in eVisits (25.7%) or face-to-face encounters (19.8%), p < 0.0001. Conclusions Non-face-to-face visits have significantly higher rates of follow-up when compared to face-to-face encounters. Antibiotic prescribing is greater with phone call triage encounters; however, there was no significant difference in antibiotic prescribing rates between eVisits and face-to-face visits. Follow-up type varied according to site of initial encounter.

Abstract Introduction Circulating tumor cells (CTCs) have been shown to be prognostic in patients (pts) with metastatic breast cancer (MBC) (Pukazhendhi, Gluck, J Carcinog. 2014). The tnAcity trial evaluated the efficacy/safety of 3 chemotherapy combination regimens (nab-P/carboplatin [C], nab-P/gemcitabine [G], or G/C) as first-line treatment for pts with mTNBC. nab-P/C resulted in a significantly longer PFS & numerically higher ORR vs nab-P/G or G/C (Yardley. SABCS 2016; manuscript in process). CTC levels were assessed at baseline (BL) & during treatment to determine correlation with clinical benefit. Methods Pts with pathologically confirmed mTNBC & no prior cytotoxic chemotherapy for MBC received (1:1:1) nab-P 125 mg/m2 with C area under the curve (AUC) 2, nab-P 125 mg/m2 with G 1000 mg/m2, or G 1000 mg/m2 with C AUC 2, all given d1 & 8 q3w. Primary endpoint: investigator-assessed PFS. Secondary endpoints included ORR & OS; CTC enumeration was a prespecified exploratory objective. CTC levels, assessed (CELLSEARCH®) at BL & start of cycles 3 & 5 (post-BL), were grouped as follows: 0 CTCs/7.5 mL blood at BL (−−), ≥ 1 CTCs/7.5 mL blood at BL & post-BL (++), & ≥ 1 CTCs/7.5 mL blood at BL & clearance of CTCs in ≥ 1 post-BL measurement (+−). Results In total, 126 pts were included: 48, 24, & 54 in the −−, ++, & +− groups, respectively. Mean BL CTC levels for the ++ & +− groups were 55 & 66 CTCs/7.5 mL blood. Pts with BL CTCs of ≥ 1 vs 0 had numerically similar median PFS (7.0 vs 5.9 mo; HR 1.45 [95% CI 0.93 - 2.25]) & OS (15.0 vs 16.0 mo; HR 0.90 [95% CI 0.57 - 1.42]) & higher ORR (64% vs 44%). Mean cycle 3 & 5 CTC levels in the ++ group were 17 & 111 CTCs/7.5 mL blood. Pts in the −− & +− groups had longer PFS vs the ++ group (median 5.9, 8.5, & 4.7 months). Similar improvements in OS & ORR were noted (Table). Conclusions Absence of CTCs at BL & during treatment & clearance of CTCs from BL at least once during treatment were generally associated with improved efficacy outcomes in pts with mTNBC treated with combination chemotherapy. Table. Outcomes by Change in CTC Level from BaselineGroupOutcome−− n = 48+− n = 54++ n = 24PFS, median, mo HR (95% CI)5.9 0.60 (0.34-1.06)a8.5 0.30 (0.17-0.54)a4.7OS, median, mo HR (95% CI)16.0 0.40 (0.22-0.73)a17.8 0.35 (0.20-0.62)a9.8ORR, %43.879.629.2CR6.316.74.2PR37.563.025.0SD35.420.454.2PD16.7—16.7NE4.2——CR, complete response; HR, hazard ratio; NE, not evaluable; ORR, overall response rate; OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; SD, stable disease. a vs ++ group. Citation Format: Minetta C. Liu, Wolfgang Janni, Vassilis Georgoulias, Denise A. Yardley, Nadia Harbeck, Xin Wei, Desmond McGovern, Robert Beck. First-line doublet chemotherapy for mTNBC: circulating tumor cell analysis of the tnAcity trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4209.

ObjectiveTo examine the association between macrophage migration inhibitory factor (MIF) promoter polymorphisms and granulomatosis with polyangiitis (GPA) in human subjects, and to assess the role of MIF in a murine model of granulomatous vasculitis.MethodsThe human study involved 1,077 patients with GPA and healthy controls whose serum was genotyped by capillary electrophoresis for the MIF −794 CATT5−8 promoter microsatellite (rs5844572). MIF promoter, CATT‐length–dependent gene expression in response to β‐glucan was assessed by gene reporter assays. In mouse studies, granulomatous disease was induced by injection of Candida albicans β‐glucan into wild‐type (WT) or Mif‐knockout (Mif‐KO) C57BL/6 mice and C57BL/6 mice transgenically overexpressing Mif in lung epithelium (Mif lung–Tg2.1). Mice were treated with a neutralizing anti‐MIF antibody and analyzed for the density of pulmonary granulomas, expression of inflammatory chemokines, and frequency of mortality.ResultsThe percentage of human subjects carrying >5 CATT repeats in each MIF allele (high genotypic MIF expressers) was 60.2% among patients with GPA and 53.9% among healthy controls (adjusted P = 0.049). In response to granulomatous stimulation, human MIF gene expression increased proportionally with CATT length. Mif lung–Tg2.1 mice exhibited more pulmonary granulomas than WT mice, which in turn showed more granulomas than Mif‐KO mice. A significantly higher percentage of Mif lung–Tg2.1 mice, compared to Mif‐KO or WT mice, died when injected with Candida albicans β‐glucan, and treatment of these mice with an anti‐MIF monoclonal antibody protected against a lethal outcome. Levels of MIF‐dependent neutrophil/macrophage chemokines were elevated in the bronchoalveolar lavage fluid or plasma of Mif lung–Tg2.1 mice.ConclusionPatients with GPA have an increased frequency of high MIF expression CATT alleles. Higher Mif expression increases the incidence of mortality and pulmonary granulomas in Mif lung–Tg2.1 mice, while anti‐MIF treatment protects these mice against death. Blockade of MIF in high genotypic MIF expressers may therefore offer a selective pharmacologic therapy for GPA.

ABSTRACT High-fat diet (HFD)-fed mouse models have been widely used to study early type 2 diabetes. Decreased β-cell glucokinase (GCK) expression has been observed in HFD-induced diabetes. However, owing to its crucial roles in glucose metabolism in the liver and in islet β-cells, the contribution of decreased GCK expression to the development of HFD-induced diabetes is unclear. Here, we employed a β-cell-targeted gene transfer vector and determined the impact of β-cell-specific increase in GCK expression on β-cell function and glucose handling in vitro and in vivo. Overexpression of GCK enhanced glycolytic flux, ATP-sensitive potassium channel activation and membrane depolarization, and increased proliferation in Min6 cells. β-cell-targeted GCK transduction did not change glucose handling in chow-fed C57BL/6 mice. Although adult mice fed a HFD showed reduced islet GCK expression, impaired glucose tolerance and decreased glucose-stimulated insulin secretion (GSIS), β-cell-targeted GCK transduction improved glucose tolerance and restored GSIS. Islet perifusion experiments verified restored GSIS in isolated HFD islets by GCK transduction. Thus, our data identify impaired β-cell GCK expression as an underlying mechanism for dysregulated β-cell function and glycemic control in HFD-induced diabetes. Our data also imply an etiological role of GCK in diet-induced diabetes. This article has an associated First Person interview with the first author of the paper.

Key Points Using the largest set of patients with newly diagnosed myeloma, we identified 63 mutated driver genes. We identified oncogenic dependencies, particularly relating to primary translocations, indicating a nonrandom accumulation of genetic hits.

We consider the problem of model‐based clustering in the presence of many correlated, mixed continuous, and discrete variables, some of which may have missing values. Discrete variables are treated with a latent continuous variable approach, and the Dirichlet process is used to construct a mixture model with an unknown number of components. Variable selection is also performed to identify the variables that are most influential for determining cluster membership. The work is motivated by the need to cluster patients thought to potentially have autism spectrum disorder on the basis of many cognitive and/or behavioral test scores. There are a modest number of patients (486) in the data set along with many (55) test score variables (many of which are discrete valued and/or missing). The goal of the work is to (1) cluster these patients into similar groups to help identify those with similar clinical presentation and (2) identify a sparse subset of tests that inform the clusters in order to eliminate unnecessary testing. The proposed approach compares very favorably with other methods via simulation of problems of this type. The results of the autism spectrum disorder analysis suggested 3 clusters to be most likely, while only 4 test scores had high (>0.5) posterior probability of being informative. This will result in much more efficient and informative testing. The need to cluster observations on the basis of many correlated, continuous/discrete variables with missing values is a common problem in the health sciences as well as in many other disciplines.

Abstract Lesson Learned Panitumumab plus irinotecan is not active for the treatment of esophageal adenocarcinoma. Background Esophageal adenocarcinoma (EAC) is a lethal cancer with increasing incidence. Panitumumab (Pa) is a fully humanized IgG2 monoclonal antibody against human EGFR. Cetuximab (Cx) combined with irinotecan (Ir) is active for second-line treatment of colorectal cancer. This phase II study was designed to evaluate Pa plus Ir as second-line therapy for advanced EAC. Methods The primary endpoint was response rate (RR). Patients with one prior treatment were given Pa 9 mg/m2 on day 1 and Ir 125 mg/m2 on days 1 and 8 of each 21-day cycle. Inclusion criteria were confirmed EAC, measurable disease, no prior Ir or Pa, performance status &lt;2, and normal organ function. Results Twenty-four patients were enrolled; 18 were eligible and evaluable. These patients were all white, with a median age of 62.5 years (range, 33–79 years), and included 15 men and 3 women. The median number of cycles was 3.5. The most common grade 1–2 adverse events were fatigue, diarrhea, anemia, leukopenia, and hypoalbuminemia. Grade 3–4 adverse events included hematologic, gastrointestinal, electrolyte, rash, fatigue, and weight loss. The median follow-up was 7.2 months (range, 2.3–14 months). There were no complete remissions. The partial response rate was 6% (1/18; 95% confidence interval [CI], 0.01–0.26). The clinical benefit (partial response [PR] plus stable disease [SD]) rate was 50%. The median overall survival was 7.2 months (95% CI, 4.1–8.9) with an 11.1% 1-year survival rate. The median progression-free survival was 2.9 months (95% CI, 1.6–5.3). Conclusion Irinotecan and panitumumab as second-line treatment for advanced EAC are not active.

Key Points In the largest study of HMAs in RR-AML to date, 16% of patients achieved CR/CRi and experienced a median OS of 21 months. Low proliferative disease (peripheral blood blasts <5%) was associated with improved response and OS.

Purpose Selection bias in clinical trials has consequences for scientific validity and applicability of study results to the general population. There is concern that patients with clinically aggressive disease may not have enrolled in recent diffuse large B-cell lymphoma (DLBCL) trials due to the consent process and the inability to delay therapy for eligibility evaluation. We have examined the diagnosis-to-treatment interval (DTI) and its association with clinical factors and outcome in a clinic-based observational cohort of patients with DLBCL from the United States. Validation of results was performed in an independent, clinical trial-based cohort from Europe. Patients and Methods Patients were prospectively enrolled in the University of Iowa and Mayo Clinic Specialized Programs of Research Excellence Molecular Epidemiology Resource (MER; N = 986) or the Lymphoma Study Association (LYSA) LNH-2003 clinical trials program (N = 1,444). All patients received anthracycline-based immunochemotherapy at initial diagnosis. Associations of DTI with clinical factors and outcome were examined. Outcome was assessed using event-free survival at 24 months from diagnosis (EFS24). Results Median (range) DTI was 15 days (0 to 155 days in the MER and 23 days (0 to 215 days) in LYSA. Shorter DTI was strongly associated with adverse clinical factors, including elevated lactate dehydrogenase levels, poor performance status, B symptoms, and higher International Prognostic Index in both cohorts (all P < .001). Longer DTI was associated with improved EFS24 in both the MER (per-week odds ratio, 0.80; 95% CI, 0.74 to .0.87) and LYSA (per-week odds ratio, 0.90; 95% CI, 0.86 to 0.94); association with EFS24 remained significant after adjustment for International Prognostic Index. Conclusion DTI is strongly associated with prognostic clinical factors and outcome in newly diagnosed DLBCL. DTI should be reported in all clinical trials of newly diagnosed DLBCL and future trials should take steps to avoid selection bias due to treatment delay.