Systems Biology of the Cancer Cell
Year: 2024
Type: review
Abstract: Questions in cancer have engaged systems biologists for decades. During that time, the quantity of molecular data has exploded, but the need for abstractions, formal models, and simplifying insights has remained the same. This review brings together classic breakthroughs and recent findings in the field of cancer systems biology, focusing on cancer cell pathways for tumorigenesis and therapeutic response. Cancer cells mutate and transduce information from their environment to alter gene expression, metabolism, and phenotypic states. Understanding the molecular architectures that make each of these steps possible is a long-term goal of cancer systems biology pursued by iterating between quantitative models and experiments. We argue that such iteration is the best path to deploying targeted therapies intelligently so that each patient receives the maximum benefit for their cancer.
Authors: Kevin A. Janes, Matthew J. Lazzara
Institution: University of Virginia
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Awards: Targeted Sphingolipid Metabolism for Treatment of AML, Promoting Receptor Protein Tyrosine Phosphatase Activity by Targeting Transmembrane Domain Interactions, Optimal control models of epithelial-mesenchymal transition for the design of pancreas cancer combination therapy, Systems Analysis of Stress-adapted Cancer Organelles (SASCO) Center, A premalignant chronology of cell-state variability in basal-like breast cancer
OpenAlex ID: W4405486636