Causes of death and treatment-related mortality in newly diagnosed childhood acute lymphoblastic leukemia treatment with Chinese Children's Cancer Group study ALL-2015.
Kangkang LiuJingbo ShaoJiaoyang CaiJingyan TangShuhong ShenFengling XuYuanyuan RenAijun ZhangXin TianXiaoqian LuShaoyan HuQun HuHua JiangFen ZhouChangda LiangAlex Wing Kwan LeungXiaowen ZhaiChunfu LiYongjun FangZhenling WangLu WenHui YangNingling WangHui JiangPublished in: Annals of hematology (2023)
To investigate the possible risk factors for death at post-treatment in children with acute lymphoblastic leukemia (ALL). A multivariate competing risk analysis was performed to retrospectively analyze the data of children with ALL who died after treatment with CCCG-ALL-2015 in China and to determine the possible risk factors for death at post-treatment in children with ALL. Age at the first diagnosis of ≥10 years; final risk level of high-risk; D19 minimal residual disease (MRD) (≥0.01%) and D46 MRD (≥0.01%); genetic abnormalities, such as KMT2A-rearrangement, c-Myc rearrangement, and PDGFRB rearrangement; and the presence of CNS3 (all P values, <0.05) were identified as independent risk factors, whereas the risk level at the first diagnosis of low-risk (LR) and ETV6::RUNX1 positivity was considered as independent protective factors of death in children with ALL. Among the 471 cases of death, 45 cases were treated with CCCG-ALL-2015 only, and 163 (34.61%) were treatment-related, with 62.42% due to severe infections. 55.83% of treatment-related mortality (TRM) occurred in the early phase of treatment (induction phase). TRM has a significant impact on the overall survival of pediatric patients with ALL. Moreover, the CCCG-ALL-2015 regimen has a better safety profile for treating children with ALL, with rates close to those in developed countries (registration number: ChiCTR-IPR-14005706; date of registration: June 4, 2014).
Keyphrases
- acute lymphoblastic leukemia
- risk factors
- young adults
- type diabetes
- acute myeloid leukemia
- coronary artery disease
- early onset
- cardiovascular events
- replacement therapy
- blood brain barrier
- artificial intelligence
- big data
- allogeneic hematopoietic stem cell transplantation
- electronic health record
- deep learning
- early life