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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Spatial variable genes (SVGs) in cancer refer to genes that exhibit different expression levels or patterns across different regions or cells within a tumor. Cancer-associated fibroblasts (CAFs) are a crucial component of the tumor microenvironment (TME), playing a fundamental role in tumor progression, metastasis, and therapy response. Identifying and characterizing SVGs can reveal novel targets for cancer treatment. Combining spatial transcriptomics with other omics data can provide a more comprehensive picture of tumor biology. Spatially Variable Genes in Cancer: Development, Progression, and Treatment Response illuminates the heterogeneity within tumors, challenging the traditional one-size-fits-all approach. The chapters examine how SVGs influence tumor biology and pave the way for novel diagnostic and therapeutic approaches. Covering topics such as bioengineering, gene expression, and tumor initiation, this book is an excellent resource for academicians, researchers, students, oncologists, medical professionals, medical administrators, scientists, and more.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Spatial variable genes (SVGs) in cancer refer to genes that exhibit different expression levels or patterns across different regions or cells within a tumor. Cancer-associated fibroblasts (CAFs) are a crucial component of the tumor microenvironment (TME), playing a fundamental role in tumor progression, metastasis, and therapy response. Identifying and characterizing SVGs can reveal novel targets for cancer treatment. Combining spatial transcriptomics with other omics data can provide a more comprehensive picture of tumor biology. Spatially Variable Genes in Cancer: Development, Progression, and Treatment Response illuminates the heterogeneity within tumors, challenging the traditional one-size-fits-all approach. The chapters examine how SVGs influence tumor biology and pave the way for novel diagnostic and therapeutic approaches. Covering topics such as bioengineering, gene expression, and tumor initiation, this book is an excellent resource for academicians, researchers, students, oncologists, medical professionals, medical administrators, scientists, and more.