Agustí Alentorn

Morphologic intratumoral heterogeneity from routine whole-slide histopathology is prognostic for survival in primary central nervous system lymphoma: development in the LOC Network and international external validation

The paper develops and validates a prognostic model using morphologic intratumoral heterogeneity from histopathology slides to predict survival in primary central nervous system lymphoma.

VelOT: kinetic-free RNA velocity inference via optimal transport, flow-field smoothing, and VAMP coarse-graining of cellular dynamics

VelOT improves RNA velocity inference by using optimal transport and flow-field smoothing, outperforming existing methods in directionality and coherence.

h5adify: neuro-symbolic metadata harmonizationenables scalable AnnData integration with locallarge language models

h5adify harmonizes metadata from single-cell datasets using neuro-symbolic methods and local LLMs, improving integration and reducing batch effects.

Oncometabolite-driven enhancer hypermethylation promotes a hyporesponsive microglial state in IDH-mutant gliomas

This study shows that oncometabolite D-2HG drives enhancer hypermethylation in IDH-mutant gliomas, leading to hyporesponsive microglia and reduced immune reactivity.

Pan-cancer landscape of AID-related mutations, composite mutations and its potential role in the ICI response

The paper analyzes AID-related mutations across cancers and finds they are associated with better outcomes in ICI-treated patients and contribute to immunogenic neoepitopes.