分层(种子)
危险分层
医学
内科学
生物
休眠
发芽
植物
种子休眠
作者
Mathieu Simonin,Loïc Vasseur,Étienne Lengliné,Ludovic Lhermitte,Aurélie Cabannes‐Hamy,Marie Balsat,Aline Schmidt,Marie‐Emilie Dourthe,Aurore Touzart,Carlos Graux,Nathalie Grardel,Jean‐Michel Cayuela,Isabelle Arnoux,Virginie Gandemer,Françoise Rigal‐Huguet,Stéphane Ducassou,Véronique Lheritier,Yves Chalandon,Norbert Ifrah,Hervé Dombret
出处
期刊:Blood
[Elsevier BV]
日期:2024-06-07
卷期号:144 (15): 1570-1580
被引量:13
标识
DOI:10.1182/blood.2023023754
摘要
We previously reported a better outcome in adult and pediatric T-cell acute lymphoblastic leukemia (T-ALL) harboring NOTCH1 and/or FBXW7 mutations without alterations of K-N-RAS and PTEN genes. Availability of high-throughput next-generation sequencing strategies (NGS) led us to refine the outcome prediction in T-ALL. Targeted whole-exome sequencing of 72 T-ALL related oncogenes was performed in 198 adult T-ALLs in first remission (CR1) from the GRAALL-2003/2005 protocols (ClinicalTrial.gov, NCT00222027, NCT00327678) and 242 pediatric T-ALLs from the FRALLE2000T. This approach enabled the identification of the first NGS-based classifier in T-ALL categorizing low-risk patients as those with N/F, PHF6, or EP300 mutations, excluding N-K-RAS, PI3K pathway (PTEN, PIK3CA, and PIK3R1), TP53, DNMT3A, IDH1/2, and IKZF1 alterations, with a 5-year cumulative incidence of relapse (CIR) estimated at 21%. Conversely, the remaining patients were classified as high-risk, exhibiting a 5-year CIR estimated at 47%. We externally validated this stratification in the pediatric cohort. NGS-based classifier was highly prognostic, independently of minimal residual disease (MRD) and white blood cells counts (WBC), in both adult and pediatric cohorts. Integration of the NGS-based classifier into a comprehensive risk stratification model, including WBC count at diagnosis and MRD at the end of induction, enabled the identification of an adverse risk subgroup (25%) with a 5-year CIR estimated at 51%, and a favorable risk group (32%) with a 5-year CIR estimated at 12%. NGS-based stratification combined with WBC and MRD sharpens the prognostic classification in T-ALL and identifies a new subgroup of patients who may benefit from innovative therapeutic approaches.
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