Paper - Review

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

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