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Cocktail & Poster Display session

102P - Prognostic model of pediatric AML patients with RUNX1-RUNX1T1 fusion gene

Date

16 Oct 2024

Session

Cocktail & Poster Display session

Presenters

Yang Xun

Citation

Annals of Oncology (2024) 9 (suppl_6): 1-5. 10.1016/esmoop/esmoop103742

Authors

Y. Xun1, H. Yang2, Y. Tao3, R. Liu3, L. Wei4, H. You5

Author affiliations

  • 1 Chongqing Key Laboratory Of Pediatric Metabolism And Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 400015 - Chongqing/CN
  • 2 Laboratory For Excellence In Systems Biomedicine Of Pediatric Oncology, Children's Hospital of Chongqing Medical University, 400015 - Chongqing/CN
  • 3 Children's Hospital of Chongqing Medical University, 400015 - Chongqing/CN
  • 4 Chongqing Population and Family Planning Science and Technology Research Institute, 401122 - Chongqing/CN
  • 5 Pediatric Oncology, Children's Hospital of Chongqing Medical University, 400015 - Chongqing/CN

Resources

This content is available to ESMO members and event participants.

Abstract 102P

Background

Current pediatric acute myeloid leukemia (pAML) risk stratification heavily relies on cytogenetic findings. However, despite the generally low-risk feature associated with the RUNX1-RUNX1T1 fusion gene, a substantial proportion of patients still experience unfavorable overall survival (OS) and/or event-free survival (EFS). Hence, a specific clinical decision support tool is crucial for the precise evaluation of survival in RUNX1-RUNX1T1+ pAML patients, aiming for enhanced outcomes.

Methods

The study included 2009 pAML patients, of whom 284 carried the RUNX1-RUNX1T1 fusion gene (RR-pAML). The patient data was randomly divided into training and validation subsets; the primary endpoints were OS and EFS. The prognostic model was constructed using univariate and multivariate Cox analyses. Model performance was evaluated using C-index and AUC values.

Results

The RR-pAML model was constructed based on two clinical factors. This model effectively categorized patients into low- and high-risk groups, which exhibited distinct clinical characteristics, response rates, relapse risk and mortality. The 5-year OS rates for the low- and high-risk groups were 91.0% and 73.0%, respectively (p=0.024, AUC 0.69). For EFS, the 5-year rates were 76.8% and 50.2%, respectively (p<0.001, AUC 0.70). Compared to previous prognostic models, the new model demonstrated superior performance in C-index and AUCs. It reclassified 31.7% of patients into the high-risk category and predicted relapse risk.

Conclusions

The new model is a straightforward yet effective clinical stratification tool for pAML patients carrying the RUNX1-RUNX1T1 fusion gene; it enhances risk assessment and facilitates more informed decision-making in the management of RUNX1-RUNX1T1+ patients.

Editorial acknowledgement

Clinical trial identification

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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