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
{"title":"Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia.","authors":"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","doi":"10.1158/2643-3230.BCD-25-0049","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":29944,"journal":{"name":"Blood Cancer Discovery","volume":" ","pages":""},"PeriodicalIF":11.5000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Cancer Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/2643-3230.BCD-25-0049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.
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