Fourier-method beam analysis for coherent vertical cavity surface emitting laser arrays.

Effective engineering and exploitation of coherently coupled vertical cavity surface emitting laser arrays will benefit from simple and fast characterization of the optical coupling and coherence. We propose a Fourier method of analyzing beam profiles as an alternative to the prior beam visibility analysis and show that the mode suppression ratio and phase between a pair of supermodes can be extracted. Our analysis enables fast quantitative determination of the array coherence and supermode characteristics.

A review of canakinumab and its therapeutic potential for non-small cell lung cancer.

Inflammation is essential for our innate and adaptive immunity, but chronic inflammation can also be detrimental, playing a role in tumor development and subversion of host immunity. A multitude of proteins and cytokines are involved in chronic inflammation; interleukin-1β, in particular, has been recognized as a critical pro-inflammatory cytokine that can trigger a cascade of inflammatory mediators, promoting angiogenesis, tumor invasiveness, and metastasis. The inhibition of interleukin-1β with the antibody canakinumab was recently highlighted in a large-scale trial studying the effects of the inflammatory modulating antibody in heart disease.

Deep learning using tumor HLA peptide mass spectrometry datasets improves neoantigen identification.

Neoantigens, which are expressed on tumor cells, are one of the main targets of an effective antitumor T-cell response. Cancer immunotherapies to target neoantigens are of growing interest and are in early human trials, but methods to identify neoantigens either require invasive or difficult-to-obtain clinical specimens, require the screening of hundreds to thousands of synthetic peptides or tandem minigenes, or are only relevant to specific human leukocyte antigen (HLA) alleles. We apply deep learning to a large (N = 74 patients) HLA peptide and genomic dataset from various human tumors to create a computational model of antigen presentation for neoantigen prediction.

Product review on the Anti-PD-L1 antibody atezolizumab.

Immunotherapy as a therapeutic strategy has seized the narrative throughout clinical oncology over the past few years. Once considered a niche treatment for rare cancers, immunotherapy has quickly emerged as the standard of care for many common cancer types. The remarkable rise is largely due to the development of novel checkpoint inhibitors, specifically, antibodies targeting PD-1 and PD-L1.

Nucleophilic (Radio)Fluorination of α-Diazocarbonyl Compounds Enabled by Copper-Catalyzed H-F Insertion.

The copper-catalyzed H-F insertion into α-diazocarbonyl compounds is described using potassium fluoride (KF) and hexafluoroisopropanol. Access to complex α-fluorocarbonyl derivatives is achieved under mild conditions, and the method is readily adapted to radiofluorination with [(18)F]KF. This late-stage strategy provides an attractive route to (18)F-labeled biomolecules.