Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia

The influence of genetic ancestry on genomics in T-cell Acute Lymphoblastic Leukemia (T-ALL) has not been fully explored. We examined the impact of genetic ancestry on multi-omic alterations, survival outcomes, and risk stratification. Among 1309 children and young adults with T-ALL treated on the Children's Oncology Group trial AALL0434, the prognostic value of five commonly altered T-ALL genes varied by ancestry-including NOTCH1, which was associated with superior overall survival for patients of European ancestry but non-prognostic among patients of African ancestry. Integrating genetic ancestry with published T-ALL risk classifiers, we identified that a X01 Penalized Cox Regression classifier stratified patients regardless of ancestry, whereas a European multi-gene classifier misclassified patients of certain ancestries. Overall, 80% of patients harbored a genomic alteration in at least one gene with differential prognostic impact in an ancestry-specific manner. These data demonstrate the importance of incorporating genetic ancestry into genomic risk classification.

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Publication Details

Journal
Blood Cancer Discovery
Published
2025-05-28
DOI
https://doi.org/10.1158/2643-3230.bcd-25-0049
Citations
4
Primary Topic
Acute Lymphoblastic Leukemia research
Type
article
Field-Weighted Citation Impact
7.51
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Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia

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Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia

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article en
4 citations

Abstract

The influence of genetic ancestry on genomics in T-cell Acute Lymphoblastic Leukemia (T-ALL) has not been fully explored. We examined the impact of genetic ancestry on multi-omic alterations, survival outcomes, and risk stratification. Among 1309 children and young adults with T-ALL treated on the Children's Oncology Group trial AALL0434, the prognostic value of five commonly altered T-ALL genes varied by ancestry-including NOTCH1, which was associated with superior overall survival for patients of European ancestry but non-prognostic among patients of African ancestry. Integrating genetic ancestry with published T-ALL risk classifiers, we identified that a X01 Penalized Cox Regression classifier stratified patients regardless of ancestry, whereas a European multi-gene classifier misclassified patients of certain ancestries. Overall, 80% of patients harbored a genomic alteration in at least one gene with differential prognostic impact in an ancestry-specific manner. These data demonstrate the importance of incorporating genetic ancestry into genomic risk classification.

Blood Cancer DiscoveryVol. 6(5)
St. Jude Children's Research Hospital (US), Children's Hospital of Philadelphia (US), Children's Hospital of Los Angeles (US), Harvard University (US), National University of Singapore (SG), Hospital for Sick Children (CA), California University of Pennsylvania (US), NYU Langone Health (US), National University Cancer Institute, Singapore (SG), University of Virginia Children's Hospital (US), Seattle Children's Hospital (US), Center for Cancer and Blood Disorders (US), Dana-Farber Cancer Institute (US), Children's Minnesota (US), University of Virginia Medical Center (US), UCSF Benioff Children's Hospital (US), Dana-Farber/Boston Children's Cancer and Blood Disorders Center (US), UCSF Helen Diller Family Comprehensive Cancer Center (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 3%
Acute Lymphoblastic Leukemia research
7.51
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