Variation in the TEK gene is not associated with asthma but with allergic conjunctivitis

The Tie2 receptor is an important player in angiogenesis. The Tie2 mRNA and protein are abundantly expressed in the lungs and the associated pathway also has an important role in the development and function of the eye. Tie2 is encoded by the TEK gene in humans. Recently, variations in the TEK gene have been found associated with asthma. The objective of the present study was to investigate whether variations in the TEK gene influenced the susceptibility to pediatric asthma and/or associated phenotypes like GINA status, viral- or exercise-induced asthma, allergic asthma, indoor, outdoor, inhalative allergies, IgE and eosonophil levels, allergic rhinitis and allergic conjunctivitis. Three single nucleotide polymorphisms (SNPs, rs3780315, rs581724 and rs7876024) in the TEK gene were genotyped in 1189 unrelated individuals, out of which 435 were asthmatic children and 754 healthy controls. Different types of asthma, allergies and co-morbidities were defined in 320 patients. Among the fully phenotyped 320 asthmatic patients 178 (55.6%) also had allergic rhinitis and 100 (31.3%) had conjunctivitis. Among the rhinitis patients 98 (55.1%) also had conjunctivitis. Two patients had conjunctivitis without rhinitis. The genotyped SNPs showed no association with asthma. However, SNP rs581724 was significantly associated with allergic conjunctivitis in a recessive way (p=0.007; OR=2.3 (1.3-4.4)) within the asthmatic population. The risk remained significant when the whole population (asthmatics and healthy controls) was included in the calculation (p = 0.003; OR = 2.1 (1.3-3.6)). The minor allele of the rs581724 SNP which is associated with the increased risk to conjunctivitis is also associated with reduced Tie2 expression. There was a significant association between SNP rs581724 and the occurrence of allergic conjunctivitis in asthmatic children. If additional studies can confirm the role of the Tie2 pathway in allergic conjunctivitis, it can be a potential novel therapeutic target in the disease.

Abstract P1-07-06: Immune signatures define and affect prognosis in triple-negative breast cancer subtypes

Background: The tumor immune microenvironment is formed by many distinct and interacting cell populations, and its composition may predict patient's prognosis and response to therapies. Triple negative breast cancer (TNBC) is a heterogeneous disease in which different genomic subgroups have been described (Lehmann, et al. J Clin Invest.2011). Our aim was to integrate the composition of the tumor immune microenvironment with the molecular TNBC subtypes.

Methods: We retrospectively analyzed the composition and the functional orientation of the immune microenvironment of 963 TNBC tumors clustered in 4 main TNBC subgroups (Basal-Like [BL1/2], Immunomodulatory [IM], Mesenchymal/Mesenchymal Stem-Like [MS], Androgen Receptor [AR]) from independent cohorts using transcriptomic profiling. TNBC were stratified based on 9 different immune signatures (Natural Killer [NK], Dendritic Cells [DC], T-Cells [TC], B-Cells [BC], T-Cytotoxic [TC], Interferon [IF], Nuclear Factor-kB [NF-kB], anti-tumor Macrophages [M1] and pro-tumor Macrophages [M2]. We validated our findings using immunohistochemistry.

Results: We report that TNBC molecular subgroups and specific microenvironmental immune signatures are highly correlated. The IM was enriched of almost all the immune modules. On overall TNBC population, the TC (P = 0.01), IF (P = 0.007) and M1 (P = 0.001) signatures were associated with good prognosis. The BL subgroup with a good prognosis was characterized by overexpression of genes specific to M1-macrophages (P = 0.004) and TC-lymphocytes (P = 0.01). In contrast, the poor-prognosis MS expresses markers of cells of monocytic origin and significantly associated with the M2 signature (P = 0.01). The MS subgroup also displays an inflammatory and immunosuppressive signature. Pathological examination revealed that the MS subtype is characterized by a high density of pro-tumor macrophages that likely produce chemokines and cytokines which favor tumor-associated inflammation, resulting in a poor prognosis. In contrast, the AR exhibits low immune and inflammatory signatures.

Conclusions: The distinct immune orientations of the TNBC molecular subtypes pave the way for tailored immunotherapies.

Citation Format: Bottai G, Balazs G, Nagy A, Pusztai L, Szallasi Z, Reis-Filho JS, Santarpia L. Immune signatures define and affect prognosis in triple-negative breast cancer subtypes [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-07-06.

Molecular and antigenic characterization of the H3 hemagglutinin of H3N2 influenza A virus strains collected in the Czech Republic during the 2014/2015 epidemic season

The 2014/2015 influenza epidemic season was characterized by the predominance of the H3N2 subtype. The presented study investigated the genetic and antigenic heterogeneity of the H3N2 strains collected in the Czech Republic from November 2014 to March 2015. Phylogenetic analysis of the representative H3 hemagglutinin sequences was performed and the glycosylation status and crucial antigenic mutations were compared relative to the 2014 and 2015 vaccine strains (A/Texas/50/2012 and A/Switzerland/9715293/2013) and visualized in the H3 crystal structure. The molecular data were further supplemented by hemagglutination-inhibition test (HIT) results on fifteen H3N2 2014/2015 strains by using the A/Texas/50/2012 (H3N2) and A/Switzerland/9715293/13 (H3N2) antisera. Our data on the Czech H3N2 viruses from the 2014/2015 epidemic season could supplement the reports of official authorities with data from a particular geographi-cal area.

Core Standards of the EUBIROD Project. Defining a European Diabetes Data Dictionary for Clinical Audit and Healthcare Delivery

BACKGROUND

A set of core diabetes indicators were identified in a clinical review of current evidence for the EUBIROD project. In order to allow accurate comparisons of diabetes indicators, a standardised currency for data storage and aggregation was required. We aimed to define a robust European data dictionary with appropriate clinical definitions that can be used to analyse diabetes outcomes and provide the foundation for data collection from existing electronic health records for diabetes.

METHODS

Existing clinical datasets used by 15 partner institutions across Europe were collated and common data items analysed for consistency in terms of recording, data definition and units of measurement. Where necessary, data mappings and algorithms were specified in order to allow partners to meet the standard definitions. A series of descriptive elements were created to document metadata for each data item, including recording, consistency, completeness and quality.

RESULTS

While datasets varied in terms of consistency, it was possible to create a common standard that could be used by all. The minimum dataset defined 53 data items that were classified according to their feasibility and validity. Mappings and standardised definitions were used to create an electronic directory for diabetes care, providing the foundation for the EUBIROD data analysis repository, also used to implement the diabetes registry and model of care for Cyprus.

CONCLUSIONS

The development of data dictionaries and standards can be used to improve the quality and comparability of health information. A data dictionary has been developed to be compatible with other existing data sources for diabetes, within and beyond Europe.

MAVEN observations of the response of Mars to an interplanetary coronal mass ejection

Coupling between the lower and upper atmosphere, combined with loss of gas from the upper atmosphere to space, likely contributed to the thin, cold, dry atmosphere of modern Mars. To help understand ongoing ion loss to space, the Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft made comprehensive measurements of the Mars upper atmosphere, ionosphere, and interactions with the Sun and solar wind during an interplanetary coronal mass ejection impact in March 2015. Responses include changes in the bow shock and magnetosheath, formation of widespread diffuse aurora, and enhancement of pick-up ions. Observations and models both show an enhancement in escape rate of ions to space during the event. Ion loss during solar events early in Mars history may have been a major contributor to the long-term evolution of the Mars atmosphere.