Decoding Pancreatic Cancer Cachexia through Multi-Omics Integration

This project aims to build a comprehensive multi-tissue, multi-omic human atlas of pancreatic cancer cachexia, an underexplored but devastating complication of pancreatic cancer. Through single-cell and spatial transcriptomics, mass spectrometry-based metabolomics, and computational modeling, we seek to characterize the pathogenesis of cachexia at both cellular and systemic levels. This work will uncover key tumor-host communication pathways, identify functional drivers of muscle and fat wasting, and lay the groundwork for biomarker discovery and therapeutic development in PC-cachexia.

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