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Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations - npj Precision Oncology

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$Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations - npj Precision Oncology$

Identifying patients that are likely to respond to cancer immunotherapy is an important, yet highly challenging clinical need. Using 3139 patients across 17 different cancer types, we comprehensively studied the ability of two common copy-number alteration (CNA) scores—the tumor aneuploidy score (AS) and the fraction of genome single nucleotide polymorphism encompassed by copy-number alterations (FGA)—to predict survival following immunotherapy in both pan-cancer and individual cancer types.

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Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations - npj Precision Oncology

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