Researchers at Moffitt Cancer Center say they have developed a new method to predict how cancer cells evolve as they gain or lose entire chromosomes. The method centers on a computational tool called ALFA-K that uses longitudinal, single-cell data to map which chromosome configurations are favored as tumors change over time.
Moffitt and partnering outlets describing the work say these large chromosome changes can create rapid shifts that help tumors grow, adapt to stress, and resist treatment. They also report the study’s results suggest cancer evolution is not purely random and instead follows measurable patterns shaped by chromosome configuration, evolutionary dynamics, and treatment-related stress.
The research is described as being published in Nature Communications, with EurekAlert listing the journal article title as “ALFA-K: Local adaptive mapping of karyotype fitness landscapes.” EurekAlert also lists the article publication date as Dec. 27, 2025, while dating the news release to Jan. 22, 2026, in Tampa, Florida.
Why whole-chromosome changes matter
In the materials released about the study, researchers describe cancer as an evolving disease in which tumor cells can make mistakes while copying and dividing DNA. They note that many of those mistakes involve gaining or losing whole chromosomes, which can create a mix of cancer cells with different chromosome combinations in a single tumor.
The sources explain why these changes can have major effects: chromosomes contain hundreds or thousands of genes, so gaining or losing a chromosome shifts the dosage of many genes at once. According to the same accounts, this can quickly alter how a cell grows, divides, or responds to stress, enabling bigger evolutionary “jumps” rather than small step-by-step changes.
The releases also emphasize that these chromosome-level changes can increase diversity inside a tumor, which may raise the odds that some cells survive treatment. They add that the impact of a chromosome gain or loss can depend on a cell’s existing chromosome makeup, meaning the same change can help in one context and harm in another.
What ALFA-K does differently
Moffitt and related write-ups say a central challenge has been figuring out which chromosome combinations help cancer cells survive, because the number of possible chromosome states is extremely large. They also say many earlier approaches could capture only snapshots in time or average behavior across cells, making it difficult to track how tumors move through chromosome states as they evolve.
ALFA-K is presented as a tool designed to address that gap by reconstructing how cancer cells move through different chromosome states over time using longitudinal, single-cell data. The approach maps “local fitness landscapes,” which the sources describe as a way to measure how advantageous or harmful a chromosome change is given a cell’s current chromosome configuration.
The researchers also say ALFA-K accounts for ongoing chromosome instability while tracking thousands of individual cells over time. In the reported study, they say ALFA-K estimated the fitness of more than 270,000 distinct chromosome configurations, enabling analyses they describe as previously inaccessible.
Chemotherapy stress and “fitness landscapes”
One reported finding is that the rate of chromosome errors can matter in how tumors move across these mapped landscapes. The sources specifically note that when chemotherapy increases chromosome mis-segregation, cancer cells can move across the landscapes more quickly.
Depending on the landscape’s shape, the write-ups say this faster movement can push tumors toward chromosome states that are more tolerant of instability. In describing the broader implication, the sources frame the work as evidence that tumor evolution can follow patterns that can be measured and modeled, rather than being driven by chance alone.
Whole-genome doubling and a measurable threshold
The study also focuses on whole-genome doubling, described as an event where a cell copies all of its chromosomes. The sources say earlier research had shown whole-genome doubling can help cancer cells survive, but that there had not been a way to measure how much protection it provides.
According to the published descriptions, ALFA-K makes it possible to quantify this buffering effect by measuring how much more tolerant genome-doubled cells are to chromosome mistakes compared with non-doubled cells. The materials also describe buffering as not being “all or nothing,” and say there is a threshold at which genome doubling becomes advantageous, which the method can help quantify.
ScienceDaily’s summary of the work similarly highlights that copying an entire genome can protect cancer cells from damage caused by extreme chromosomal instability. Across the releases, the finding is presented as turning whole-genome doubling from a descriptive observation into a predictable evolutionary event.
What this could mean for treatment
The sources describe the long-term aim as “evolution-aware” cancer therapy that anticipates how tumors may change rather than reacting after resistance emerges. They also suggest the approach could eventually help doctors interpret repeat biopsies, recognize when a tumor may be nearing a dangerous evolutionary transition, and choose treatments intended to limit a cancer’s ability to explore harmful chromosome configurations.
The work is supported by the National Cancer Institute, with multiple grant numbers listed in the releases. Moffitt describes itself as a Tampa-based facility and notes it is one of 58 National Cancer Institute-designated Comprehensive Cancer Centers.
