Chromosomal instability (
CIN
) represents a common feature in the majority of cancers. Despite that the search for specific molecular mechanisms linked to the causation or consequences of cancer has become very popular in cancer research, there is no general conceptual framework that unifies the observed diverse molecular findings. By applying the genome theory of cancer evolution, we briefly define and clarify
CIN
, synthesise its importance in macro‐cellular evolutionary selection, unify diverse molecular mechanisms under the evolutionary mechanism of cancer and discuss its potential implications. Understanding the relationship of stress,
CIN
and genome‐mediated cancer evolution offers clarity and direction to researchers, and monitoring
CIN
within an evolutionary context can provide valuable clinical information for determining treatment administration and patient prognosis.
Key Concepts
Chromosomal aberrations exist in the majority of cancers, suggesting the importance of understanding CIN in cancer.
Cancer genome evolution exists in two cyclical phases: a genome replacement mediated punctuated (macro‐cellular) phase and a gene/epigene‐mediated stepwise (micro‐cellular) phase; triggering CIN is the key to entering the macro‐cellular evolutionary phase.
CIN represents the key driver of cancer, as high levels rapidly produce wide varieties of new genome systems, providing necessary heterogeneity (and ample opportunity) for evolutionary selection.
Understanding the relationship among CIN, different genetic level dynamics and macro‐cellular evolution can be accomplished using multiple level landscape models.
Application of the evolutionary mechanism of cancer in understanding CIN offers clarity by unifying the wide variety of involved genetic and non‐genetic mechanisms and factors.
The consequences of high stress‐induced CIN (e.g. genome chaos, adaptation and accelerated macro‐cellular evolution) hold high implications in cancer treatment and drug resistance.
Fuzzy inheritance, which also reflects as elevated CIN at the genome level, represents a major mechanism of cancer evolution.
Monitoring CIN within an evolutionary context can provide valuable information for both cancer research and treatment.