Teachey David, Newman Haley, Lee Shawn, Pölönen Petri, Shraim Rawan, Li Yimei, Liu Hongyan, Aplenc Richard, Bandyopadhyay Shovik, Chen Changya, Chen Zhiguo, Devidas Meenakshi, Diorio Caroline, Dunsmore Kimberly, Elghawy Omar, Elhachimi Amira, Fuller Tori, Gupta Sumit, Hall Junior, Hughes Andrew, Hunger Stephen, Loh Mignon, Martinez Zachary, McCoy Michael, Mullen Cassidy, Pounds Stanley, Raetz Elizabeth, Ryan Theresa, Seffernick Anna, Shi Gongping, Sussman Jonathan, Tan Kai, Uppuluri Lahari, Vincent Tiffaney L, Wang'ondu Ruth, Winestone Lena, Winter Stuart, Wood Brent, Wu Gang, Xu Jason, Yang Wenjian, Mullighan Charles, Yang Jun, Bona Kira
Res Sq. 2024 Aug 16:rs.3.rs-4858231. doi: 10.21203/rs.3.rs-4858231/v1.
The influence of genetic ancestry on biology, survival outcomes, and risk stratification in T-cell Acute Lymphoblastic Leukemia (T-ALL) has not been explored. Genetic ancestry was genomically-derived from DNA-based single nucleotide polymorphisms in children and young adults with T-ALL treated on Children's Oncology Group trial AALL0434. We determined associations of genetic ancestry, leukemia genomics and survival outcomes; co-primary outcomes were genomic subtype, pathway alteration, overall survival (OS), and event-free survival (EFS). Among 1309 patients, T-ALL molecular subtypes varied significantly by genetic ancestry, including increased frequency of genomically defined ETP-like, MLLT10, and BCL11B-activated subtypes in patients of African ancestry. In multivariable Cox models adjusting for high-risk subtype and pathways, patients of Admixed American ancestry had superior 5-year EFS/OS compared with European; EFS/OS for patients of African and European ancestry were similar. The prognostic value of five commonly altered T-ALL genes varied by ancestry - including , which was associated with superior OS for patients of European and Admixed American ancestry but non-prognostic among patients of African ancestry. Furthermore, a published five-gene risk classifier accurately risk stratified patients of European ancestry, but misclassified patients of African ancestry. We developed a penalized Cox model which successfully risk stratified patients across ancestries. Overall, 80% of patients had a genomic alteration in at least one gene with differential prognostic impact by genetic ancestry. T-ALL genomics and prognostic associations of genomic alterations vary by genetic ancestry. These data demonstrate the importance of incorporating genetic ancestry into analyses of tumor biology for risk classification algorithms.
遗传血统对T细胞急性淋巴细胞白血病(T-ALL)生物学特性、生存结局及风险分层的影响尚未得到探讨。遗传血统是通过儿童肿瘤协作组AALL0434试验中接受治疗的儿童和年轻成人基于DNA的单核苷酸多态性在基因组层面推导得出的。我们确定了遗传血统、白血病基因组学与生存结局之间的关联;共同主要结局为基因组亚型、通路改变、总生存期(OS)和无事件生存期(EFS)。在1309例患者中,T-ALL分子亚型因遗传血统而有显著差异,包括非洲血统患者中基因组定义的ETP样、MLLT10和BCL11B激活亚型的频率增加。在针对高危亚型和通路进行调整的多变量Cox模型中,混合美国血统患者的5年EFS/OS优于欧洲血统患者;非洲血统和欧洲血统患者的EFS/OS相似。五个常见的T-ALL基因改变的预后价值因血统而异——包括 ,该基因与欧洲和混合美国血统患者的OS较好相关,但在非洲血统患者中无预后价值。此外,一个已发表五基因风险分类器能准确地对欧洲血统患者进行风险分层,但对非洲血统患者进行了错误分类。我们开发了一个惩罚Cox模型,该模型成功地对不同血统的患者进行了风险分层。总体而言,80%的患者至少有一个基因发生基因组改变,其预后影响因遗传血统而异。T-ALL基因组学以及基因组改变的预后关联因遗传血统而异。这些数据证明了将遗传血统纳入肿瘤生物学分析以用于风险分类算法的重要性。