Mutation Order and Selection Shape Intratumor Heterogeneity in Tumor Evolution
Chu, Y.; Sheng, X.; Zhang, X.; Wang, Z.
Show abstract
Cancer progression often requires the accumulation of multiple driver mutations, yet the same set of drivers may be acquired in different orders. How these alternative mutation-order pathways jointly shape tumor clonal structure remains unclear. We develop a multitype branching-process model in which malignant transformation requires two driver mutations and distinguish malignant cells both by their mutation order and by the independent transformation event that founded their clone. Under a successive exponential approximation, we establish point-process limits for the pathway-specific clone-size processes and derive a closed-form expression for the limiting expected Simpson's index of the combined malignant population. When the two mutation orders produce malignant cells with the same net growth rate, the limiting index separates into effective pathway weights, determined by mutation rates and birth-death dynamics at preceding stages, and within-pathway concentration terms, determined by intermediate-to-malignant growth-rate ratios. This decomposition shows that a driver's effect on heterogeneity depends critically on when it is acquired. A strong driver acquired early expands the intermediate lineage and increases the supply of independent malignant founders, whereas the same driver acquired at the final transition strengthens the growth and age advantage of early-founded malignant clones. Under additive fitness effects, these counteracting mechanisms can produce a non-monotone relationship between selective advantage and clonal concentration. We further show that threshold-like non-additive fitness effects can generate highly concentrated malignant populations, while order-dependent terminal fitness leads the faster-growing pathway to dominate asymptotically. Together, these results reveal how mutation order, mutational accessibility, selection, and epistasis jointly determine lineage-level intratumor heterogeneity.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pairwise Hybrid Incompatibilities Dominate During Allopatric Speciation For A Simple Genotype-Phenotype Map Of Embryonic Spatial Patterning 96%
- A stochastic model of metastatic bottleneck predicts patient outcome and therapy response 96%
- Elements and Evolutionary Determinants of Genomic Divergence Between Paired Primary and Metastatic Tumors 95%
Similar papers in this journal
- The fitness costs of reproductive specialization scale inversely with organismal size 97%
- A compartment size dependent selective threshold limits mutation accumulation in hierarchical tissues 95%
- Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions 95%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.