An evolutionary perspective on anti-tumor immunity.

Front Oncol

Department 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.

Published: January 2013

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3541690PMC
http://dx.doi.org/10.3389/fonc.2012.00202DOI Listing

Publication Analysis

Top Keywords

fitness landscape
16
selective fitness
12
control structures
12
evolutionary perspective
8
cancer evolutionary
8
somatic mutations
8
cellular homeostasis
8
cancer cells
8
cells alter
8
cells
6

Similar Publications

Active learning-assisted directed evolution.

Nat Commun

January 2025

Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.

Directed evolution (DE) is a powerful tool to optimize protein fitness for a specific application. However, DE can be inefficient when mutations exhibit non-additive, or epistatic, behavior. Here, we present Active Learning-assisted Directed Evolution (ALDE), an iterative machine learning-assisted DE workflow that leverages uncertainty quantification to explore the search space of proteins more efficiently than current DE methods.

View Article and Find Full Text PDF

Every protein progresses through a natural lifecycle from birth to maturation to death; this process is coordinated by the protein homeostasis system. Environmental or physiological conditions trigger pathways that maintain the homeostasis of the proteome. An open question is how these pathways are modulated to respond to the many stresses that an organism encounters during its lifetime.

View Article and Find Full Text PDF

Endurance sports have witnessed an increase in female participation, demanding a constant and evolving reassessment of the specific physiological and health implications of female athletes. In the present review, we analyze cardiovascular, hematological adaptations and anthropometry and hormonal fluctuations highlighting sex-specific differences in response to exercise, with estrogen playing a fundamental role in modulating body composition and metabolic processes. Nutritional aspects, in particular energy availability, macronutrient distribution and hydration, are fundamental in supporting training demands and menstrual function.

View Article and Find Full Text PDF

Introduction: CAR-T therapy has transformed the treatment landscape for relapsed/refractory diffuse large B-cell lymphomas (DLBCL).

Areas Covered: This article reviews the existing evidence for using CAR-T therapy as a second-line treatment. Two major phase 3 trials, ZUMA-7 and TRANSFORM, have shown that axi-cel and liso-cel, respectively, offer superior outcomes compared to historical standard chemoimmunotherapy and consolidation with autologous hematopoietic stem cell transplantation (auto-HCT).

View Article and Find Full Text PDF

Selection Can Favor a Recombination Landscape That Limits Polygenic Adaptation.

Mol Biol Evol

January 2025

Institut de Biologie, École Normale Supérieure, CNRS UMR 8197, Inserm U1024, PSL Research University, Paris 75005, France.

Modifiers of recombination rates have been described but the selective pressures acting on them and their effect on adaptation to novel environments remain unclear. We performed experimental evolution in the nematode Caenorhabditis elegans using alternative rec-1 alleles modifying the position of meiotic crossovers along chromosomes without detectable direct fitness effects. We show that adaptation to a novel environment is impaired by the allele that decreases recombination rates in the genomic regions containing fitness variation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!