G. Al-Eryani

This study compares Digital Spatial Profiling and Visium spatial transcriptomics technologies for cancer research, finding differences in sensitivity, specificity, and application suitability.

The paper integrates single-cell RNA and protein data from breast cancer samples to identify novel lymphocyte phenotypes and their clinical relevance.

The paper shows that inhibiting lactate production in tumor cells suppresses PTEN/p53-deficient prostate cancer growth by activating macrophage phagocytosis.

This study shows that STAT3 gain-of-function mutations in leukemia drive autoimmune pathology by causing NKG2Dhi CD8 T cell oligoclonal expansion and cytotoxic activity.

This study uses DNA barcoding to track clonal evolution in breast cancer during metastasis and immunotherapy, finding ongoing immunoediting and identifying potential therapeutic targets.

This study uses spatial transcriptomics to analyze HER2-positive breast tumors, revealing novel intercellular relationships and developing a model for tertiary lymphoid structures across tissues.

This study identifies diverse stromal subsets in TNBC using single-cell RNA-seq and links them to immune evasion mechanisms and therapeutic targets.

This study shows that cryopreservation of human cancers preserves tumour heterogeneity for single-cell multi-omics analysis, with comparable results to fresh tissue.