Age- and gender-specific molecular characteristics of diffuse large B-cell lymphoma: Results from clinical trials of the DSHNHL/GLA.

Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma. Despite a high cure rate, too many patients show refractory (ref) or relapsed (rel) disease. This study examines the frequency of recurring gene mutations and their interplay with well-known biomarkers in female and male patients between 18 and 80 years with ref/rel DLBCL compared to patients with complete remission (CR) to identify biological risk factors associated with treatment response, using cohorts of R-CHOP-like treated DLBCL enrolled in clinical trials of the DSHNHL.

The mutational landscape and its longitudinal dynamics in relapsed and refractory classic Hodgkin lymphoma.

In classic Hodgkin-lymphoma (cHL), only a few cases recur, and only a limited fraction of patients is primary-refractory to standard-polychemotherapy. Underlying genomic features of unfavorable clinical courses remain sparsely characterized. Here, we investigated the genomic characteristics of primary-refractory/relapsed cHL in contrast with responders.

US Abortion Bans and Fertility.

Importance: Abortion bans may lead to births among those who are unable to overcome barriers to abortion. The population-level effects of these policies, particularly their unequal impacts across subpopulations in the US, remain unclear.

Objective: To assess heterogeneity in the association of abortion bans with changes in fertility in the US, within and across states.

US Abortion Bans and Infant Mortality.

Importance: The impact of recent abortion bans on infant mortality is not fully understood. There is also limited evidence on how these bans may interact with long-standing racial and ethnic disparities in infant health.

Objective: To examine the association of abortion bans with changes in infant mortality and to compare this association in racial and ethnic groups based on analyses within and across states.

Peptide-Aware Chemical Language Model Successfully Predicts Membrane Diffusion of Cyclic Peptides.

Language modeling applied to biological data has significantly advanced the prediction of membrane penetration for small-molecule drugs and natural peptides. However, accurately predicting membrane diffusion for peptides with pharmacologically relevant modifications remains a substantial challenge. Here, we introduce PeptideCLM, a peptide-focused chemical language model capable of encoding peptides with chemical modifications, unnatural or noncanonical amino acids, and cyclizations.