Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
Interplay between Genetic Ancestry, Self-reported Race and Ethnicity, and Clinical Factors in Pediatric Acute Lymphoblastic Leukemia: A REDIAL Consortium Report.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Kore Pragati, Geris Jennifer M, Leon-Camarena Maria, Castellanos Maria I, Taylor Olga A, Garcia-Morales Veronica, Brown Austin L, Sok Pagna, Schraw Jeremy M, Huynh Van, Ludwig Kathleen F, Klesse Laura J, Pruitt Sandi L, Hughes Amy E, Tien Kevin, Heym Kenneth M, Griffin Timothy, Erana Rodrigo, Bernini Juan Carlos, Gramatges Maria M, Atkinson Elizabeth G, Lupo Philip J, Scheurer Michael E, Rabin Karen R
Аннотация
BACKGROUND: Pediatric acute lymphoblastic leukemia (ALL) is the most common cancer in children, and its incidence and outcomes vary by race and ethnicity.
METHODS: The Reducing Ethnic Disparities in Acute Leukemia (REDIAL) Consortium has assembled a cohort of patients <25 years at diagnosis to examine genetic and neighborhood-level factors influencing ALL. As the cohort is ongoing, for this report, we examined sociodemographic and cytogenetic factors that might be associated with ALL outcome disparities.
RESULTS: Among 2,512 patients diagnosed between 2005 and 2020, we observed distinct patterns of genetic ancestry and residential characteristics across self-reported race and ethnicity. Latino children, who comprised 55.3% of the cohort, had a mean Amerindigenous ancestry proportion of 50.9%, whereas non-Latino White children exhibited a predominantly European ancestry (mean = 78%). Neighborhood-level analysis revealed significant socioeconomic and geographic differences by race/ethnicity, with Latino children more frequently residing in Latino enclaves or economically disadvantaged neighborhoods. Cytogenetic profiling of 551 patients showed that favorable subtypes (double trisomies and ETV6::RUNX1) predominated overall, but ETV6::RUNX1 was significantly less common in Latino than in non-Latino White children; conversely, CRLF2 overexpression and immunoglobulin heavy chain (IGH) rearrangements were more frequent among Latino children.
CONCLUSIONS: This first REDIAL cohort analysis reveals how genetic ancestry and neighborhood-level factors jointly shape the distribution of ALL cytogenetic subtypes, advancing our understanding of contributors to disparities in ALL outcomes.
IMPACT: This analysis offers insights into factors underlying disparities in ALL outcomes that may be targeted for mitigation, ultimately guiding more equitable approaches to risk stratification and intervention.
METHODS: The Reducing Ethnic Disparities in Acute Leukemia (REDIAL) Consortium has assembled a cohort of patients <25 years at diagnosis to examine genetic and neighborhood-level factors influencing ALL. As the cohort is ongoing, for this report, we examined sociodemographic and cytogenetic factors that might be associated with ALL outcome disparities.
RESULTS: Among 2,512 patients diagnosed between 2005 and 2020, we observed distinct patterns of genetic ancestry and residential characteristics across self-reported race and ethnicity. Latino children, who comprised 55.3% of the cohort, had a mean Amerindigenous ancestry proportion of 50.9%, whereas non-Latino White children exhibited a predominantly European ancestry (mean = 78%). Neighborhood-level analysis revealed significant socioeconomic and geographic differences by race/ethnicity, with Latino children more frequently residing in Latino enclaves or economically disadvantaged neighborhoods. Cytogenetic profiling of 551 patients showed that favorable subtypes (double trisomies and ETV6::RUNX1) predominated overall, but ETV6::RUNX1 was significantly less common in Latino than in non-Latino White children; conversely, CRLF2 overexpression and immunoglobulin heavy chain (IGH) rearrangements were more frequent among Latino children.
CONCLUSIONS: This first REDIAL cohort analysis reveals how genetic ancestry and neighborhood-level factors jointly shape the distribution of ALL cytogenetic subtypes, advancing our understanding of contributors to disparities in ALL outcomes.
IMPACT: This analysis offers insights into factors underlying disparities in ALL outcomes that may be targeted for mitigation, ultimately guiding more equitable approaches to risk stratification and intervention.