Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...
Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...
For decades, cancer immunotherapy has focused primarily on CD8+ cytotoxic T lymphocytes as the main executors of tumor cell ...
CD4+ T cells, long regarded as supporting actors in cancer immunity, are emerging as central regulators of tumor control and ...
One of oncology's biggest challenges is that the same treatment can work well for some patients but fail completely in others ...
A new study sheds light on why promising cancer treatments can produce dramatically different results across patients.
1monon MSN
A single sample classifier can predict cancer-associated fibroblast subtypes in patient samples
In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy ...
This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...
One of oncology’s biggest challenges is that the same treatment can work well for some patients but fail completely in others.
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