Comparison of haploidentical hematopoietic stem cell transplantation with chemotherapy in older adults with acute myeloid leukemia.
Yu-Qian SunXiao-Hui ZhangQian JiangHao JiangYing-Jun ChangYu WangLan-Ping XuKai-Yan LiuXiao-Jun HuangPublished in: Bone marrow transplantation (2023)
Acute myeloid leukemia (AML) outcomes are very poor in older patients. Haploidentical stem cell transplantation (haplo-SCT) helps to achieve long-term survival. However, the benefit of haplo-SCT versus chemotherapy is unclear in older adults with AML. Outcomes were retrospectively compared among patients aged 55‒65 years for chemotherapy consolidation or haplo-SCT for AML in the first complete remission with intermediate to high-risk disease. Forty-six patients who underwent chemotherapy and 38 patients who underwent haplo-SCT were evaluated in the final analysis. Compared with the chemotherapy group, patients in the haplo-SCT group had significantly better overall survival (OS) (74.0% versus 23.9% at 36 months, p = 0.005) and leukemia-free survival (LFS) (74.0% versus 21.6%, p < 0.001). The cumulative incidence of relapse (CIR) was significantly lower in the haplo-SCT group (17.3% versus 75.4%, p < 0.001). Treatment-related mortality (TRM) was similar in the haplo-SCT and chemotherapy groups (7.9% versus 4.8%, p = 0.587). In the multivariate analysis, haplo-SCT was associated with improved OS, LFS, and decreased CIR. Haplo-SCT did not affect TRM. In conclusion, our data suggest that haploidentical transplant may be an alternative to consolidation chemotherapy as post-remission therapy in patients with intermediate or high-risk AML aged 55‒65 years. Further well-designed studies are needed to validate this result.
Keyphrases
- acute myeloid leukemia
- stem cell transplantation
- end stage renal disease
- locally advanced
- free survival
- ejection fraction
- newly diagnosed
- chronic kidney disease
- allogeneic hematopoietic stem cell transplantation
- prognostic factors
- bone marrow
- risk factors
- high dose
- cardiovascular events
- cardiovascular disease
- skeletal muscle
- stem cells
- rheumatoid arthritis
- radiation therapy
- machine learning
- electronic health record
- artificial intelligence
- big data
- acute lymphoblastic leukemia
- disease activity
- cell therapy