Fig. 2: Meningioma risk-stratification models demonstrate chromosome-specific CNA size-dependence. | Nature Communications

Fig. 2: Meningioma risk-stratification models demonstrate chromosome-specific CNA size-dependence.

From: Pan-cancer copy number analysis identifies optimized size thresholds and co-occurrence models for individualized risk stratification

Fig. 2

a Heatmaps showing area under the curve for univariate Cox models of LFFR or OS based on individual copy number gains (left, red) or individual copy number losses (right, blue). Models were trained using sequential size thresholds requiring ≥1% to ≥99% of each chromosome arm required to be gained or lost to define CNAs. n = 565 meningiomas. The threshold at which each CNA reached achieved maximum AUC is shown in Supplementary Data 1. b Previously published meningioma risk-stratification models incorporating CNAs (Integrated grade, based on histological features and a ≥50% threshold for defining CNAs, or Integrated score, based on histological features, DNA methylation families, and a ≥5% threshold for defining CNAs). n = 565 meningiomas. c CNAs from previously published meningioma risk-stratification models incorporating CNAs, or from newly-derived chromosome-specific CNA size-dependent LASSO or Elastic Net models for meningioma LFFR or OS, or from newly-derived consensus models comprised only of size-dependent CNAs appearing in both LASSO and Elastic Net models for meningioma LFFR or OS. n = 565 meningiomas. Source data are provided as a Source Data file.

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