A machine learning-derived multi-gene score effectively predicts radiation sensitivity in nasopharyngeal carcinoma by integrating immune characteristics and radiosensitivity-related pathways.
iCAF-mediated immune escape and promoted tumor angiogenesis via VEGFA/B-VEGFR1 pathway indicate that a combination of immunotherapies and anti-angiogenic targeted therapy may be effective for H. pylori infection-associated gastric cancer.
Integrated single-cell RNA-seq analysis identifies ferroptosis-driven tumor microenvironment features, enabling a prognostic risk model and therapeutic targets to advance precision medicine for triple-negative breast cancer.
The development of an automated micronucleus segmentation program enables population-level comparisons between cells with and without micronuclei and defines a highly limited response to micronucleus formation or rupture.
Inhibiting the p38 MAPK-MK2 signaling pathway significantly boosts the efficacy of microtubule-targeting agents specifically in breast cancer cells, highlighting a potential new therapeutic strategy for improved cancer treatment.
Identification of two molecularly distinct retroperitoneal liposarcoma subtypes, stratifiable via LEP and PTTG1 biomarkers, enables prognosis prediction and informs precision surgical strategies to improve clinical outcomes.
