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Updated: May 15, 2026

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
Published on: March 7, 2025
An evolutionary perspective on anti-tumor immunity
1Department of Chemical Engineering, West Virginia University Morgantown, WV, USA ; Mary Babb Randolph Cancer Center, West Virginia University Morgantown, WV, USA ; Department of Microbiology, Immunology, and Cell Biology, West Virginia University Morgantown, WV, USA.
Abstract:
The challenges associated with demonstrating a durable response using molecular-targeted therapies in cancer has sparked a renewed interest in viewing cancer from an evolutionary perspective. Evolutionary processes have three common traits: heterogeneity, dynamics, and a selective fitness landscape. Mutagens randomly alter the genome of host cells creating a population of cells that contain different somatic mutations. This genomic rearrangement perturbs cellular homeostasis through changing how cells interact with their tissue microenvironment. To counterbalance the ability of mutated cells to outcompete for limited resources, control structures are encoded within the cell and within the organ system, such as innate and adaptive immunity, to restore cellular homeostasis. These control structures shape the selective fitness landscape and determine whether a cell that harbors particular somatic mutations is retained or eliminated from a cell population. While next-generation sequencing has revealed the complexity and heterogeneity of oncogenic transformation, understanding the dynamics of oncogenesis and how cancer cells alter the selective fitness landscape remain unclear. In this technology review, we will summarize how recent advances in technology have impacted our understanding of these three attributes of cancer as an evolutionary process. In particular, we will focus on how advances in genome sequencing have enabled quantifying cellular heterogeneity, advances in computational power have enabled explicit testing of postulated intra- and intercellular control structures against the available data using simulation, and advances in proteomics have enabled identifying novel mechanisms of cellular cross-talk that cancer cells use to alter the fitness landscape.
Insights
Cancer evolution is key to understanding treatment resistance. New technologies help quantify cellular diversity and model how cancer cells change their environment to survive and grow.
Area of Science:
- Evolutionary biology
- Cancer biology
- Genomics
Background:
- Molecular-targeted therapies face challenges in achieving durable cancer responses.
- Viewing cancer through an evolutionary lens highlights heterogeneity, dynamics, and selective fitness landscapes.
- Somatic mutations drive cellular changes, perturbing tissue homeostasis and resource competition.
Purpose of the Study:
- To review technological advances enhancing the understanding of cancer's evolutionary attributes.
- To focus on how new technologies illuminate cellular heterogeneity, control structures, and fitness landscape alterations.
Main Methods:
- Review of recent technological advancements in genome sequencing, computational power, and proteomics.
- Analysis of how these technologies address cancer's evolutionary dynamics.
- Focus on quantifying heterogeneity, testing control structures via simulation, and identifying crosstalk mechanisms.
Main Results:
- Genome sequencing advances enable quantification of cellular heterogeneity in cancer.
- Computational power allows simulation-based testing of intra- and intercellular control structures.
- Proteomics identifies novel cancer cell crosstalk mechanisms altering the fitness landscape.
Conclusions:
- Technological progress is crucial for understanding cancer as an evolutionary process.
- Advances in sequencing, computation, and proteomics provide new insights into cancer dynamics and treatment resistance.
- Further research integrating these technologies can unravel complex cancer evolutionary strategies.
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