How subclonal modelling is changing the metastatic paradigm
Cet article passe en revue les travaux récents sur la modélisation du rôle joué par différentes populations sous-clonales dans le processus métastatique
A concerted effort to sequence matched primary and metastatic tumours is vastly improving our ability to understand metastasis in humans. Compelling evidence has emerged that supports the existence of diverse and surprising metastatic patterns. Enhancing these efforts is a new class of algorithms that facilitate high-resolution subclonal modelling of metastatic spread. Here we summarise how subclonal models of metastasis are influencing the metastatic paradigm.