Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer
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Research has identified various programmed cell death patterns that can predict prognosis and drug sensitivity in different types of cancer. These patterns have been studied in several cancers, including gastric cancer, using techniques such as machine learning and multi-omics analysis. The findings suggest that analyzing cell death patterns can help identify potential prognostic biomarkers and immunotherapy targets in various cancers.
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