Adaptive application deployment of priority services in virtual environments

This paper introduces an adaptive application deployment service for virtualized environments (named DECIDE). This service facilitates the definition of customized cluster/cloud environment and the adaptive integration of scheduling policies for testing and deploying containerized applications. The service-based design of DECIDE and the use of a virtualized environment makes it possible to easily change the cluster/cloud configuration and its scheduling policy. It provides a differentiated service for application deployment based on priorities, according to user requirements. A prototype of this service was implemented using Apache MESOS and Docker. As a proof of concept, a federated application for electronic identification (eIDAS) was deployed using the DECIDE approach, which allows users to evaluate different deployment scenarios and scheduling policies providing useful information for decision making. Experiments were carried out to validate service functionality and the feasibility for testing and deploying applications that require different scheduling policies.This work was partially funded by the Spanish Ministry of Economy, Industry and Competitiveness under the grant TIN2016-79637-P “Towards Unification of HPC and Big Data Paradigms”

Evofosfamide for the Treatment of Human Papillomavirus-Negative Head and Neck Squamous Cell Carcinoma

Evofosfamide (TH-302) is a clinical-stage hypoxia-activated prodrug of a DNA-crosslinking nitrogen mustard that has potential utility for human papillomavirus (HPV) negative head and neck squamous cell carcinoma (HNSCC), in which tumor hypoxia limits treatment outcome. We report the preclinical efficacy, target engagement, preliminary predictive biomarkers and initial clinical activity of evofosfamide for HPV-negative HNSCC. Evofosfamide was assessed in 22 genomically characterized cell lines and 7 cell line–derived xenograft (CDX), patient-derived xenograft (PDX), orthotopic, and syngeneic tumor models. Biomarker analysis used RNA sequencing, whole-exome sequencing, and whole-genome CRISPR knockout screens. Five advanced/metastatic HNSCC patients received evofosfamide monotherapy (480 mg/m2 qw × 3 each month) in a phase 2 study. Evofosfamide was potent and highly selective for hypoxic HNSCC cells. Proliferative rate was a predominant evofosfamide sensitivity determinant and a proliferation metagene correlated with activity in CDX models. Evofosfamide showed efficacy as monotherapy and with radiotherapy in PDX models, augmented CTLA-4 blockade in syngeneic tumors, and reduced hypoxia in nodes disseminated from an orthotopic model. Of 5 advanced HNSCC patients treated with evofosfamide, 2 showed partial responses while 3 had stable disease. In conclusion, evofosfamide shows promising efficacy in aggressive HPV-negative HNSCC, with predictive biomarkers in development to support further clinical evaluation in this indication

Orchestration Tools for Big Data

Recent advances in big data technologies such as Hadoop, Storm, Spark, and NoSql databases have ease the task of developing application solutions. However, having such a heterogeneity of tools for different data processing tasks also makes the process complex. Most big data solutions design, implementation, deployment, and management require expert knowledge in different technologies and tools, thus making orchestration process a challenging task. This challenge is aggravated by user’s quality of service requirements and variability of big data and underline cloud infrastructure. This chapter gives an overview of different operations in orchestration of big data solutions, orchestration challenges, and state of the art and details different open issues of big data orchestration

Early assessment of minimal residual disease in aml by flow cytometry during aplasia identifies patients at increased risk of relapse.

In acute myeloid leukemia (AML), assessment of minimal residual disease (MRD) by flow cytometry (flow MRD) after induction and consolidation therapy has been shown to provide independent prognostic information. However, data on the value of earlier flow MRD assessment is lacking. Therefore, the value of flow MRD detection was determined during aplasia in 178 patients achieving complete remission after treatment according to AMLCG induction protocols. Flow MRD-positivity during aplasia predicted poor outcome (5-year relapse-free survival (RFS) 16% vs 43%, P<0.001) independently from age and cytogenetic risk group (hazard ratio for MRD-positivity 1.71; P=0.009). Importantly, the prognosis of patients without detectable MRD was not impacted by morphological blast count during aplasia nor by MRD status post-induction. Early flow MRD was also evaluated in the context of existing risk factors. Flow MRD was prognostic within the intermediate cytogenetic risk group (5-year RFS 15% vs. 37%, p=0.016) as well as for patients with normal karyotype and NPM1 mutations (5-year RFS 13% vs. 49%, P=0.02) or FLT3-ITD (3-year RFS rates 9% vs. 44%, P=0.016). Early flow MRD assessment can improve current risk stratification approaches by prediction of RFS in AML and might facilitate adaptation of post-remission therapy for patients at high risk of relapse

Age-dependent frequencies of <em>NPM1</em> mutations and <em>FLT3</em>-ITD in patients with normal karyotype AML (NK-AML).

Prognosis of AML in elderly patients is poor due to adverse patient characteristics and comorbidities. In addition, disease-associated parameters reveal differences between older and younger patients with AML. Survival in normal karyotype AML (NK-AML) is influenced by different clinical and molecular markers. The aim of this work was to investigate the frequencies of molecular markers in patients with NK-AML with a focus on NPM1 mutations and FLT3-ITD in different age groups. In the present study, we analyzed the frequencies of mutations of NPM1 and FLT3-ITD in a cohort of 1,321 adult patients and 148 children with AML treated within the AMLCG99, the AML98, and AML04 trials and their distribution in different age groups. Additionally, the frequencies of mutations in CEBPA genes, FLT3-TKD, and MLL-PTD were analyzed in the cohort with NK-AML (n&thinsp;=&thinsp;729). Our data show that the presence of mutations of NPM1 (from 60% to 40%) and FLT3-ITD (from 50% to 20%) significantly decreased with age in adult AML. Consequently, the proportion of NPM1-/FLT3-ITD- patients increased with age. The decreasing frequency of NPM1 mutations in elderly patients was paralleled by a reduced complete remission (CR) rate in the elderly of 55% compared to 80% in the younger patients. By contrast, the frequencies of other gene mutations, like FLT3-TKD and MLL-PTD, and mutations in CEBPA were not age-dependent. The decreasing frequency of the favorable NPM1 mutations with increasing age may partially explain the worse outcome in the elderly patients. Furthermore, the increasing amount of elderly patients without NPM1 mutations or FLT3-ITD suggests that other molecular and clinical risk factors may influence prognosis in this age group