Using machine learning models to quantify histologic features of the CCA pre-treatment tissue sections, we aimed to identify correlates of tumor microenvironment associated with:
- IDH1 mutation status
- Early disease progression (patients experienced progression or death within 1.54 months)
- Plasma 2-HG levels (median, 630 ng/ml)
