# Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome

## TL;DR

This paper introduces a new method to identify cancer mini-drivers by analyzing site-specific selective pressures in the cancer genome.

## Contribution

The novel CN/CS-calculator method captures site-specific selection pressures to uncover mini-driver genes with context-dependent promoter effects.

## Key findings

- CN/CS-calculator identifies mini-driver genes with weak positive selection and site-specific promoter effects.
- The method reveals how subtle evolutionary forces shape cancer heterogeneity and molecular evolution.
- Site-specific analysis provides new insights for therapeutic strategies and prognostic assessments.

## Abstract

Cancer development is driven by somatic evolution and clonal selection. However, traditional selective pressure analysis methods have treated all sites within a gene equally, such a gene-level model oversimplifies the complexity of cancer evolution. In this study, we introduced CN/CS-calculator, a novel site-specific method that can capture selective pressures acting across different gene sites. By deciphering the interplay between the selection pattern and the function of a gene in oncogenesis, CN/CS-calculator uncovers a unique class of mini-driver genes, which exhibit weak positive selection, with certain critical sites providing context-dependent promoter effects on the fitness of cancer subclones while others are constrained by evolutionary conservation. Our method emphasizes the importance of site-specific analysis in uncovering how subtle evolutionary forces shape cancer biology. The refined understanding offers new insights into the mechanisms of cancer heterogeneity and molecular evolution, with potential implications for advancing therapeutic strategies and prognostic assessments.