RT Journal Article
SR Electronic
T1 Tissue structure accelerates evolution: premalignant sweeps precede neutral expansion
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 542019
DO 10.1101/542019
A1 Jeffrey West
A1 Ryan O. Schenck
A1 Chandler Gatenbee
A1 Mark Robertson-Tessi
A1 Alexander R. A. Anderson
YR 2019
UL http://biorxiv.org/content/early/2019/02/10/542019.abstract
AB Cancer has been hypothesized to be a caricature of the renewal process of the tissue of origin: arising from (and maintained by) small subpopulations capable of continuous growth1. The strong influence of the tissue structure has been convincingly demonstrated in intestinal cancers where adenomas grow by the fission of stem-cell-maintained glands influenced by early expression of abnormal cell mobility in cancer progenitors2, 3. So-called “born to be bad” tumors arise from progenitors which may already possess the necessary driver mutations for malignancy4, 5 and metastasis6. These tumors subsequently evolve neutrally, thereby maximizing intratumoral heterogeneity and increasing the probability of therapeutic resistance. These findings have been nuanced by the advent of multi-region sequencing, which uses spatial and temporal patterns of genetic variation among competing tumor cell populations to shed light on the mode of tumor evolution (neutral or Darwinian) and also the tempo4, 7–11. Using a classic, well-studied model of tumor evolution (a passenger-driver mutation model12–16) we systematically alter spatial constraints and cell mixing rates to show how tissue structure influences functional (driver) mutations and genetic heterogeneity over time. This model approach explores a key mechanism behind both inter-patient and intratumoral tumor heterogeneity: competition for space. Initial spatial constraints determine the emergent mode of evolution (neutral to Darwinian) without a change in cell-specific mutation rate or fitness effects. Transition from early Darwinian to late neutral evolution is accelerated by the combination of two factors: spatial constraints and well-timed dispersal events.