A Novel Tissue-Free Method to Estimate Tumor-Derived Cell-Free DNA Quantity Using Tumor Methylation Patterns.

Estimating the abundance of cell-free DNA (cfDNA) fragments shed from a tumor (i.e., circulating tumor DNA (ctDNA)) can approximate tumor burden, which has numerous clinical applications.

Universal Masking in Health Care Settings: A Pandemic Strategy Whose Time Has Come and Gone, For Now.

During the COVID-19 pandemic in the United States, the use of facemasks has been mandated in all health care settings for individuals older than 2 years, whether present as health care personnel, patients, or visitors. In this commentary, a group of health care epidemiologists, infectious diseases physicians, and researchers argue for the withdrawal of the universal masking policy given the current status of the COVID-19 pandemic.

Evaluation of cell-free DNA approaches for multi-cancer early detection.

In the Circulating Cell-free Genome Atlas (NCT02889978) substudy 1, we evaluate several approaches for a circulating cell-free DNA (cfDNA)-based multi-cancer early detection (MCED) test by defining clinical limit of detection (LOD) based on circulating tumor allele fraction (cTAF), enabling performance comparisons. Among 10 machine-learning classifiers trained on the same samples and independently validated, when evaluated at 98% specificity, those using whole-genome (WG) methylation, single nucleotide variants with paired white blood cell background removal, and combined scores from classifiers evaluated in this study show the highest cancer signal detection sensitivities. Compared with clinical stage and tumor type, cTAF is a more significant predictor of classifier performance and may more closely reflect tumor biology.

Contact Tracing and Exposure Investigation in Response to the First Case of Monkeypox Virus Infection in the United States During the 2022 Global Monkeypox Outbreak.

Background: In May 2022, the first case of monkeypox virus (MPXV) infection in the United States in the current global outbreak was identified. As part of the public health and health care facility response, a contact tracing and exposure investigation was done.

Objective: To describe the contact tracing, exposure identification, risk stratification, administration of postexposure prophylaxis (PEP), and exposure period monitoring for contacts of the index patient, including evaluation of persons who developed symptoms possibly consistent with MPXV infection.

Real-world outcomes of addition of insulin glargine 300 U/mL (Gla-300) to glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapy in people with type 2 diabetes: The DELIVER-G study.

Aims: To provide real-world data on the addition of basal insulin (BI) in people with type 2 diabetes mellitus (PWD2) suboptimally controlled with glucagon-like peptide-1 receptor agonist (GLP-1RA) therapy. However, real-world data on the addition of BI to GLP-1RA therapy are limited.

Materials And Methods: We used a US electronic medical record data source (IBM® Explorys®) that includes approximately 4 million PWD2 to assess the real-world impact of adding the second-generation BI analogue insulin glargine 300 U/mL (Gla-300) to GLP-1RA therapy.

Gene signatures in patients with early breast cancer and relapse despite pathologic complete response.

A substantial minority of early breast cancer (EBC) patients relapse despite their tumors achieving pathologic complete response (pCR) after neoadjuvant therapy. We compared gene expression (BC360; nCounter platform; NanoString) between primary tumors of patients with post-pCR relapse (N = 14) with: (i) matched recurrent tumors from same patient (intraindividual analysis); and (ii) primary tumors from matched controls with pCR and no relapse (N = 41; interindividual analysis). Intraindividual analysis showed lower estrogen receptor signaling signature expression in recurrent tumors versus primaries (logFC = -0.

Synthetic DNA spike-ins (SDSIs) enable sample tracking and detection of inter-sample contamination in SARS-CoV-2 sequencing workflows.

The global spread and continued evolution of SARS-CoV-2 has driven an unprecedented surge in viral genomic surveillance. Amplicon-based sequencing methods provide a sensitive, low-cost and rapid approach but suffer a high potential for contamination, which can undermine laboratory processes and results. This challenge will increase with the expanding global production of sequences across a variety of laboratories for epidemiological and clinical interpretation, as well as for genomic surveillance of emerging diseases in future outbreaks.