Frontiers in Oncology (Nov 2023)

Identification of a venetoclax-resistance prognostic signature base on 6-senescence genes and its clinical significance for acute myeloid leukemia

  • Peng Ke,
  • Peng Ke,
  • Jundan Xie,
  • Jundan Xie,
  • Ting Xu,
  • Ting Xu,
  • Meiyu Chen,
  • Meiyu Chen,
  • Yusha Guo,
  • Yusha Guo,
  • Ying Wang,
  • Ying Wang,
  • Huiying Qiu,
  • Huiying Qiu,
  • Depei Wu,
  • Depei Wu,
  • Zhao Zeng,
  • Zhao Zeng,
  • Suning Chen,
  • Suning Chen,
  • Xiebing Bao,
  • Xiebing Bao

DOI
https://doi.org/10.3389/fonc.2023.1302356
Journal volume & issue
Vol. 13

Abstract

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BackgroundSatisfactory responses can be obtained for acute myeloid leukemia (AML) treated by Venetoclax (VEN)-based therapy. However, there are still quite a few AML patients (AMLs) resistant to VEN, and it is critical to understand whether VEN-resistance is regulated by senescence.MethodsHere, we established and validated a signature for predicting AML prognosis based on VEN resistance-related senescence genes (VRSGs). In this study, 51 senescence genes were identified with VEN-resistance in AML. Using LASSO algorithms and multiple AML cohorts, a VEN-resistance senescence prognostic model (VRSP-M) was developed and validated based on 6-senescence genes.ResultsAccording to the median score of the signature, AMLs were classified into two subtypes. A worse prognosis and more adverse features occurred in the high-risk subtype, including older patients, non-de novo AML, poor cytogenetics, adverse risk of European LeukemiaNet (ELN) 2017 recommendation, and TP53 mutation. Patients in the high-risk subtype were mainly involved in monocyte differentiation, senescence, NADPH oxidases, and PD1 signaling pathway. The model’s risk score was significantly associated with VEN-resistance, immune features, and immunotherapy response in AML. In vitro, the IC50 values of ABT-199 (VEN) rose progressively with increasing expression of G6PD and BAG3 in AML cell lines.ConclusionsThe 6-senescence genes prognostic model has significant meaning for the prediction of VEN-resistance, guiding personalized molecularly targeted therapies, and improving AML prognosis.

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