Risk Factors Predicting Outcomes in Advanced Upper Gastrointestinal Cancers Treated With Immune Checkpoint Inhibitors.

Background: Immune checkpoint inhibitors (ICIs) have moved to the frontline in recent years to manage upper gastrointestinal (UGI) tumors, such as esophageal and gastric cancers. This retrospective review sheds light on real-world data on ICI-treated UGI tumors to identify risk factors (clinical and pathological) impacting the outcome other than traditional biomarkers (programmed cell death ligand 1 (PD-L1) or microsatellite instability status).

Methods: Patients with UGI tumors who received at least one dose of ICI for stage IV or recurrent disease between January 1, 2015, and July 31, 2021, at The Ohio State University were included in the study.

Successful classification of clinical pediatric leukemia genetic subtypes via structural variant detection using HiFi long-read sequencing.

Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variant (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (n = 17) pediatric leukemia cohort.

BenchAMRking: a Galaxy-based platform for illustrating the major issues associated with current antimicrobial resistance (AMR) gene prediction workflows.

Background: The Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) networks 'Seq4AMR' and 'B2B2B AMR Dx' were established to promote collaboration between microbial whole genome sequencing (WGS) and antimicrobial resistance (AMR) stakeholders. A key topic discussed was the frequent variability in results obtained between different microbial WGS-related AMR gene prediction workflows. Further, comparative benchmarking studies are difficult to perform due to differences in AMR gene prediction accuracy and a lack of agreement in the naming of AMR genes (semantic conformity) for the results obtained.

Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Erratum: First Search for Dyons with the Full MoEDAL Trapping Detector in 13 TeV pp Collisions [Phys. Rev. Lett. 126, 071801 (2021)].

This corrects the article DOI: 10.1103/PhysRevLett.126.