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UrduA single-cell study led by MD Anderson researchers and published in Cancer Cell provides a deeper understanding of the evolution of the tumor microenvironment during gastric cancer progression.
Tag: single-cell analysis
NUS researchers invent powerful tool to gather data on immune response at single-cell level
Scientists from the National University of Singapore have invented a powerful tool that captures data on immune cell response at a single-cell level. This groundbreaking technique will accelerate the discovery of new immunotherapies to treat diseases such as cancer, autoimmune disorders, and infectious diseases.
Tumor-infiltrating B cells and plasma cells influence early-stage lung cancer biology, immunotherapy responses
MD Anderson researchers used extensive single-cell analysis to create a spatial map of tumor-infiltrating B cells and plasma cells in early-stage lung cancers, revealing new roles for these immune cells in cancer development and immunotherapy responses.
Genetic study offers new insights into DCIS biology, progression
A new genetic study discovered that not all breast cancers that develop after DCIS arise from the original DCIS lesion. Roughly 1 in 5 are new cancers, genetically unrelated to the original DCIS.
New AI-based tool can find rare cell populations in large single-cell datasets
MD Anderson researchers have developed a first-of-its-kind AI tool to identify rare groups of biologically important cells from the noise of large, complex single-cell datasets. The new tool, called SCMER, can help reserachers gain new insights across many applications.
Single-cell analysis of metastatic gastric cancer finds diverse tumor cell populations associated with patient outcomes
Researchers from The University of Texas MD Anderson Cancer Center who profiled more than 45,000 individual cells from patients with peritoneal carcinomatosis (PC), a specific form of metastatic gastric cancer, defined the extensive cellular heterogeneity and identified two distinct subtypes correlated with patient survival.