Nomogram predictive models for adult patients with acute lymphoblastic leukaemia based on real-world treatment outcomes.

This study aimed to analyse the characteristics and treatment outcomes of adult patients with acute lymphoblastic leukaemia (ALL) and construct nomogram predictive models for prognosis prediction. Between January 2017 and June 2022, 462 adult patients with ALL were included in this retrospective analysis. Patients' ages ranged from 14 to 84 years. B-cell origin was observed in 82.7% of these patients, while 17.3% of the cases were of T-cell origin. The BCR/ABL1 fusion gene was detected in 32.9% of those with B-ALL. Complete remission was achieved in 83.7% of the patients after induction chemotherapy. The median disease-free survival (DFS) and overall survival (OS) of patients were 19.0 and 39.1 months, respectively. The 5-year DFS and OS rates were 29.5% and 41.8%, respectively. The BCR/ABL1 fusion gene had a significant adverse impact on DFS and OS when patients were treated with tyrosine kinase inhibitors (TKIs) and chemotherapy; however, this effect was eliminated when patients underwent transplantation. Multivariate analysis identified that age ≥ 35 years, white blood cell count ≥ 30 × 10/L, platelet count < 100 × 10/L, failure to achieve complete remission after induction chemotherapy, positive measurable residual disease (MRD), and absence of transplantation were independent adverse prognostic factors for DFS and/or OS. Nomogram predictive models constructed by the rms package in R software based on these prognostic factors demonstrated precise predictive value. In conclusion, adult patients with ALL experience poor survival. TKIs in combination with transplantation can eliminate the adverse effects of BCR/ABL1 fusion genes on prognosis. Nomogram predictive models were accurate for prognostic prediction and will be useful in clinical practice.