Paper - Review
10.1101/2020.11.11.376467
DOI: 10.1101/2020.11.11.376467
Abstract
Clonal deconvolution
← of mutational landscapes
→ is crucial
→ to understand the evolutionary dynamics ← of cancer
❓: two limiting factors → for clonal deconvolution
→ 1⃣ variation in purity 2⃣ chromosomal copy number ← across different samples of the same tumor
Developed → a semi-supervised algorithm
← that tracks (variant calls)
→ through multi-sample spatiotemporal tumor data
❗: 1⃣ normalizing → allele frequencies 2⃣ adjust → for copy number changes
Reliably segregated
→ clonal/sub-clonal variants ← even at a low sequencing depth
❗: Normalize & deconvolve → samples down
Renders → a reliable clonal reconstruction well
→ adapted to multi-regionally sampled solid tumors
→ are often aneuploid & contaminated by non-cancer cells