Multidimensional Signal Analysis of Colorectal Cancer Using Bioinformatic Techniques
摘要
Colourectal cancer (CRC) and liver metastases (LMCRC) are the focus of the present study into the intricate signalling pathways including multidimensional signal analysis. We performed an integrated analysis integrating spatial transcriptomics and single-cell RNA sequencing (scRNA-seq) using publically available datasets from the Gene Expression Omnibus (GEO). Our results show that primary CRC and liver metastases have very different gene expression profiles and distributions of cell types. Metastatic areas have an excess of CD8+ CXCL13+ and CD4+ CXCL13+ T cells, which indicates a strong immunological response. Important genes, like GeneD, were shown to be differentially expressed in liver metastases and may have critical functions in the development of metastases. A change in the tumor microenvironment during metastasis was also shown by the observation of various fibroblast subtypes. Detailed mapping of ligand-receptor interactions was made possible using SIGNAL-seq, which revealed prospective therapeutic targets. New insights for treatment options and customized medicine are offered by this work, which highlights the significance of multidimensional analysis in comprehending CRC and LMCRC.