Analysis reveals differences in genomic profiles and survival rates among T-ALL patients by ancestry, highlighting the importance of genetic ancestry in outcomes.
Supplementary Figure S1. T-ALL subtype classifying driver genes among individuals of European, Admixed American, and African ancestry. Supplementary Figure S2. T-ALL subtype classifying driver genes among patients with Early T-cell Precursor (ETP)-like subtype among individuals of European, Admixed American and African ancestry. Supplementary Figure S3. Distribution of 15 genomically defined T-ALL subtypes described by Pölönen and colleagues (16) among individuals of African and Non-African ancestry. Supplementary Figure S4. 5-year event free survival for NOTCH1 and FBXW7 by ancestral group. Supplementary Figure S5. Prevalence of (A) coding versus non-coding alterations and (B) types of pathogenic variants in NOTCH1 among individuals of African versus non-African ancestry. Supplementary Figure S6. Event free survival among all patients, patients of European, Admixed American, and African ancestry by NOTCH1 alterations (no mutation, favorable, unfavorable). Supplementary Figure S7. NOTCH1 coding mutation types (frameshift, missense, nonsense) on a lollipop plot in patients of European, African, and Admixed American Ancestry. Supplementary Figure S8. 5-year event free survival for genes with at least 5% frequency for each ancestral group (CDKN2A, PHF6, PTEN, DNM2). Supplementary Figure S9. 5-year event free survival for genes with at least 5% frequency for each ancestral group (LEF1, MYB, MYC, 6q loss). Supplementary Figure S10. 5-year event free survival for genes with at least 5% frequency for each ancestral group (WT1, USP7, IL7R, N/KRAS). Supplementary Figure S11. Distribution of genetic ancestral composition of individuals by categorically defined genetic ancestry.
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Newman et al. (2025) studied this question.
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