A multidisciplinary team of investigators has developed a first-of-its-kind interactive 3D spatial approach that reveals new therapeutic targets and provides a comprehensive three-dimensional view of glioblastoma tumors, detailed in a recent study published in Cell.
Northwestern Medicine investigators have identified a previously unknown regulator of tumor immune evasion, which may help improve the efficacy of current and future anti-tumor immunotherapies, according to recent findings published in the Journal of Clinical Investigation.
Some strains of an antibiotic-resistant bacteria may not turn out to be as aggressive as previously thought, according to a Northwestern Medicine study recently published in Nature Communications.
Northwestern Medicine investigators have discovered that specialized immune cells within the glioblastoma tumor microenvironment use a unique “feeding” mechanism that promotes tumor growth and treatment resistance, according to findings published in the journal Cell Metabolism.
Northwestern Medicine investigators have successfully localized novel molecular mechanisms behind a genetic mutation found in a wide range of cancers, which could serve as a biomarker for improving patient stratification and treatment, according to findings published in Proceedings of the National Academy of Sciences.
Decreased activity of a specific signaling pathway in the brain vessels of aging mice and humans was linked to a decline in vascular function and subsequent neurodegeneration, according to a recent Northwestern Medicine study published in the Journal of Clinical Investigation.
A new AI tool may make it possible to spare breast cancer patients unnecessary chemotherapy treatments by using a more precise method of predicting their outcomes, reports a new Northwestern Medicine study published in Nature Medicine.
Men with hormone-resistant prostate cancer and specific genetic mutations who were treated with the drug olaparib survived longer than men treated with traditional hormone therapy, according to a post hoc analysis published in the Journal of Clinical Oncology.
Scientists have found a highly accurate way to predict the best cancer treatment for patients based on patterns of gene expression in their tumors.
Investigators led by Neil Kelleher, PhD, have developed an automated technique for imaging proteoforms in ovarian cancer, according to results published in Nature Communications.