Transcriptional and phenotypic heterogeneity underpinning venetoclax resistance in AML

Vakul Mohanty1, Natalia Baran2, Yuefan Huang1

  • 1Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center.

Insights

Venetoclax resistance in AML is complex. This study identifies four distinct resistance clusters in patients, revealing diverse mechanisms and potential new therapeutic targets for overcoming resistance.

Area of Science:

  • Hematology
  • Oncology
  • Molecular Biology

Background:

  • Venetoclax (VEN) combined with hypomethylating agents is a key treatment for older acute myeloid leukemia (AML) patients unfit for intensive chemotherapy.
  • Resistance to VEN-based therapies, both innate and acquired, is a significant clinical challenge.
  • Understanding the heterogeneity of VEN resistance mechanisms is crucial for improving patient outcomes.

Approach:

  • Integrative analysis of transcriptomic and ex-vivo drug response data from AML patients.
  • Identification and characterization of four transcriptionally distinct VEN-resistant clusters (VR_C1-4).
  • Single-cell profiling of a relapsed patient's tumor to capture VEN resistance states and intra-tumor heterogeneity.

Key Points:

  • Four VEN-resistant AML clusters (VR_C1-4) exhibit distinct phenotypic, genetic, and drug response patterns.
  • VR_C1 shows PI3K-AKT-mTOR activation, VR_C2 has NRAS mutations and HOX suppression, VR_C3 features TP53 mutations and JAK-STAT activation, and VR_C4 displays DNMT3A mutations and interferon signaling.
  • Single-cell analysis reveals that individual tumors can harbor multiple resistance states, contributing to intra-tumor heterogeneity.

Conclusions:

  • This study provides a framework for assessing inter- and intra-tumor heterogeneity in VEN resistance mechanisms.
  • Identified resistance patterns offer insights into therapeutic strategies for patients who fail BCL2 inhibitor therapy.
  • Targeting specific signaling pathways (e.g., mTOR, CDK, JAK) may overcome VEN resistance in distinct AML patient subsets.