20 articles
Comprehensive comparison of Stereo-seq, Visium HD, CosMx, and Xenium platforms reveals key performance differences for cancer research applications.
A new machine learning tool called MaNeo scans tumor peptides to identify neoantigens that activate T cells against cancer while sparing healthy cells.
A novel cell-labeling tool reveals how ERα+ macrophages create immune-excluded niches in bone, blocking T cells from destroying cancer.
Scientists develop advanced drug delivery methods to detect and eliminate harmful senescent tumor cells that promote cancer spread.
New 3-D spatial mapping reveals four distinct immune-evasion niches in osteosarcoma that explain why checkpoint therapies fail.
A 13-modality molecular analysis of 173 AML patients reveals distinct subtypes, metabolic reprogramming, and a machine-learning-validated therapy target.
New review reveals key diagnostic features of superficial angiomyxoma, a rare benign tumor affecting middle-aged adults.
A comprehensive review reveals how combining genomics, proteomics, and metabolomics is uncovering new AML targets and improving patient outcomes.
Research identifies genetic and environmental factors that may help predict who develops pancreatic neuroendocrine tumors and their outcomes.
Cambridge scientists engineer a nanoprobe that detects therapy-induced senescence non-invasively through a simple urine colorimetric test.
Scientists discover how breast cancer builds deadly metastases using a 3D branching pattern, revealing new treatment targets.
Researchers developed rat and mouse models mimicking early and middle stages of oral submucous fibrosis using bleomycin injections.
Cell Metabolism has published an erratum (correction notice) for a 2022 paper reporting that cancer cells co-opt nociceptive nerves to survive nutrient stress.
Researchers developed a new radiotracer that targets cancer cells more effectively when combined with mTOR inhibition therapy.
Stanford scientists used RFdiffusion and ProteinMPNN to build a compact α-helical TCR mimic with 9.5 nM affinity for a tumor antigen — and near-perfect peptide specificity.
Path2Space uses deep learning to infer spatial gene expression from standard tissue slides, enabling low-cost breast cancer biomarker discovery at scale.
Comprehensive genetic analysis of early-stage lung adenocarcinoma identifies molecular subtypes that predict patient outcomes better than current methods.
Mechanical tension in the tumor microenvironment controls iron metabolism and cell death susceptibility via a novel NCOA4-FTH1 autophagy axis.
New review reveals how cancer biology has fundamentally transformed our understanding of mitochondrial plasticity and its implications beyond oncology.
Engineered immune cell vesicles first induce cancer cell senescence with chemo, then eliminate them with targeted senolytic drugs.
