AI Article Synopsis

  • While individual cancer cells are seen as the main units in cancer evolution, they often operate in groups, where the group's overall fitness isn't just the sum of its parts.
  • Research shows that certain actions, like forming blood vessels or evading the immune system, require teamwork among cancer cells rather than operating alone.
  • The concept of 'group phenotypic composition' (GPC) highlights how the characteristics of individual cells influence both their survival and the group's success, suggesting that focusing on GPC could lead to better cancer understanding and treatments.

Article Abstract

Although individual cancer cells are generally considered the Darwinian units of selection in malignant populations, they frequently act as members of groups where fitness of the group cannot be reduced to the average fitness of individual group members. A growing body of studies reveals limitations of reductionist approaches to explaining biological and clinical observations. For example, induction of angiogenesis, inhibition of the immune system, and niche engineering through environmental acidification and/or remodeling of extracellular matrix cannot be achieved by single tumor cells and require collective actions of groups of cells. Success or failure of such group activities depends on the phenotypic makeup of the individual group members. Conversely, these group activities affect the fitness of individual members of the group, ultimately affecting the composition of the group. This phenomenon, where phenotypic makeup of individual group members impacts the fitness of both members and groups, has been captured in the term 'group phenotypic composition' (GPC). We provide examples where considerations of GPC could help in understanding the evolution and clinical progression of cancers and argue that use of the GPC framework can facilitate new insights into cancer biology and assist with the development of new therapeutic strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009660PMC
http://dx.doi.org/10.7554/eLife.63518DOI Listing

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