The Swiss cheese model is used to assess risks and explain accidents in a variety of
industries. This model can be applied to dissect the homeostatic mechanisms whose …

Neurological conditions are the leading cause of disability and mortality combined,
demanding innovative, scalable, and sustainable solutions. Brain health has become a …

Molecular heterogeneity is a key feature of glioblastoma that impedes patient stratification
and leads to large discrepancies in mean patient survival. Here, we analyze a cohort of 96 …

Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a spectrum of
phenotypic and activation states. We now have limited knowledge of the tumor …

Characterizing the tumor microenvironment at the molecular level is essential for
understanding the mechanisms of tumorigenesis and evolution. However, the specificity of …

Intratumoral heterogeneity can wreak havoc on current precision medicine strategies
because of challenges in sufficient sampling of geographically separated areas of …

Primary CNS neoplasms are responsible for considerable mortality and morbidity, and many
therapies directed at primary brain tumors have proven unsuccessful despite their success …

Developments in quantitative proteomics and use of data-independent acquisition (DIA)
methodology is enabling measurement of proteins of interest in biological samples …

The subtypes of duodenal cancer (DC) are complicated and the carcinogenesis process is
not well characterized. We present comprehensive characterization of 438 samples from …

Glioblastoma (GB) is a primary malignancy of the central nervous system that is classified by
the WHO as a grade IV astrocytoma. Despite decades of research, several aspects about the …