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Updated: Aug 19, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Tumor aneuploidy predicts survival following immunotherapy across multiple cancers
Liam F Spurr1,2, Ralph R Weichselbaum2,3, Sean P Pitroda4,5
1Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA.
Abstract:
Tumor mutational burden (TMB) has emerged as a promising biomarker of immunotherapy response across multiple cancer types; however, clinical outcomes among patients with low TMB tumors are heterogeneous. Herein, we demonstrate that tumor aneuploidy provides independent prognostic value among patients with lower TMB (<80th percentile) tumors treated with immunotherapy. A higher aneuploidy score is associated with poor prognosis following immunotherapy among tumors with low TMB, but not those with high TMB. Importantly, aneuploidy scores can be calculated from existing clinical targeted sequencing infrastructure, facilitating deployment of aneuploidy scores as a clinical biomarker.
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