Hematology (Dec 2024)

Nomogram models predicting prognosis for patients with t(8;21) acute myeloid leukemia: a SEER-based study

  • Jiapeng Yang,
  • Xiaohua Zhu,
  • Honghong Zhang,
  • Yang Fu,
  • Zifeng Li,
  • Ziping Xing,
  • Yi Yu,
  • Ping Cao,
  • Jun Le,
  • Junye Jiang,
  • Jun Li,
  • Hongsheng Wang,
  • Maoxiang Qian,
  • Xiaowen Zhai

DOI
https://doi.org/10.1080/16078454.2024.2381169
Journal volume & issue
Vol. 29, no. 1

Abstract

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Background: Acute myeloid leukemia (AML) with t(8;21) manifests as a diverse hematological malignancy. Although it was categorized into a favorable subtype, 30–40% of patients experience relapse. The objective of this research was to devise a nomogram for the accurate anticipation of both overall survival (OS) and cancer-specific survival (CSS) in t(8;21) AML.Methods: From the Surveillance, Epidemiology, and End Results (SEER) database, individuals diagnosed with t(8;21) AML from 2000 to 2018 were selected. Prognostic factors for t(8;21) AML were identified using Cox regression analysis and Akaike Information Criterion (AIC), forming the basis for constructing prognostic nomograms.Results: Key variables, including first primary tumor, age group, race, and chemotherapy, were identified and integrated into the nomogram. The C-index values for the nomograms predicting OS and CSS were 0.753 (validation: 0.765) and 0.764 (validation: 0.757), respectively. Ultimately, based on nomogram scores, patients were stratified into high-risk and low-risk groups, revealing significant disparities in both OS and CSS between these groups (P < 0.001).Conclusion: This study innovatively crafted nomograms, incorporating clinical and therapeutic variables, to forecast the 1-, 3-, and 5-year survival rates for individuals with t(8;21) AML.

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