Table S6 from Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia

Newman, Haley; Lee, Shawn H.R.; Pölönen, Petri; Shraim, Rawan; Li, Yimei; Liu, Hongyan; Aplenc, Richard; Bandyopadhyay, Shovik; Chen, Changya; Devidas, Meenakshi; Diorio, Caroline; Dunsmore, Kimberly; Elghawy, Omar; Elhachimi, Amira; Fuller, Tori; Gupta, Sumit; Hall, Junior; Hughes, Andrew D.; Hunger, Stephen P.; Loh, Mignon L.; Martinez, Zachary; McCoy, Michael F.; Mullen, Cassidy G.; Pounds, Stanley B.; Raetz, Elizabeth; Seffernick, Anna Eames; Shi, Gongping; Sussman, Jonathan; Tan, Kai; Uppuluri, Lahari; Vincent, Tiffaney L.; Wang’ondu, Ruth; Winestone, Lena E.; Winter, Stuart S.; Wood, Brent L.; Wu, Gang; Xu, Jason; Yang, Wenjian; Mullighan, Charles G.; Yang, Jun J.; Bona, Kira; Teachey, David T.

doi:10.1158/2643-3230.30296485

Table S6 from Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia

https://doi.org/10.1158/2643-3230.30296485

journal contribution

posted on 2025-10-07, 14:40 authored by Haley Newman, Shawn H.R. Lee, Petri Pölönen, Rawan Shraim, Yimei Li, Hongyan Liu, Richard Aplenc, Shovik Bandyopadhyay, Changya Chen, Meenakshi Devidas, Caroline Diorio, Kimberly Dunsmore, Omar Elghawy, Amira Elhachimi, Tori Fuller, Sumit Gupta, Junior Hall, Andrew D. Hughes, Stephen P. Hunger, Mignon L. Loh, Zachary Martinez, Michael F. McCoy, Cassidy G. Mullen, Stanley B. Pounds, Elizabeth Raetz, Anna Eames Seffernick, Gongping Shi, Jonathan Sussman, Kai Tan, Lahari Uppuluri, Tiffaney L. Vincent, Ruth Wang’ondu, Lena E. Winestone, Stuart S. Winter, Brent L. Wood, Gang Wu, Jason Xu, Wenjian Yang, Charles G. Mullighan, Jun J. Yang, Kira Bona, David T. Teachey

<p>Association of Genetic Ancestry (25% interval) as Continuous Variables with Survival Outcomes.</p>

Funding

Division of Cancer Prevention, National Cancer Institute (DCP, NCI)

Gabriella Miller Kids First

History

Related Materials

1.
DOI - Is supplement to Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia

ARTICLE 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 multiomic alterations, survival outcomes, and risk stratification. Among 1,309 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 was nonprognostic among patients of African ancestry. Integrating genetic ancestry with published T-ALL risk classifiers, we identified that an X01 penalized Cox regression classifier stratified patients regardless of ancestry, whereas a European multigene 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. There is a lack of studies examining the prognostic significance of genomic features by genetic ancestry in T-ALL, especially in non-European ancestral groups. In this study, we demonstrate how the prognostic value of individual alterations differs by genetic ancestry, warranting future studies to identify germline alleles affecting these associations.See related commentary by de Smith, p. 400