Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 21, 2022Cancer CellOpen Access

Integrative analysis of drug response and clinical outcome in acute myeloid leukemia

View Full Paper
Ask AI
Bookmark
Share

Authors

DBDaniel BottomlyNLNicola LongASAnna Reister Schultz

Discussion

Loading...

Member takes

Overview

Functional genomic cohort study reveals differentiation-driven drug response and PEAR1 survival prediction in acute myeloid leukemia, highlighting new avenues for targeted therapy.

Key Points

  • Identify functional genomic drivers of ex vivo drug sensitivity and clinical outcome by integrating drug response, transcriptomic, and genomic datasets in acute myeloid leukemia.
  • Harmonized ex vivo drug sensitivity profiles with genomic, transcriptomic, and clinical data across a cumulative cohort of 805 patients (942 specimens).
  • Deconvoluted transcriptomic data to evaluate the impact of leukemic cell differentiation state on drug response and modeled gene expression associations with clinical survival.
  • Demonstrated strong cross-cohort concordance and established that acute myeloid leukemia cell differentiation state broadly governs ex vivo drug sensitivity.
  • Identified expression of a single gene, PEAR1, as one of the strongest predictors of patient survival, especially in younger cohorts.

Cite This Study

Bottomly et al. (2022) studied this question.

synapsesocial.com/papers/6aa927a02f42f29ed3cdc323https://doi.org/10.1016/j.ccell.2022.07.002
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia Patients2024 · 2 citations
  2. 2Unlocking reproducible transcriptomic signatures for acute myeloid leukaemia: Integration, classification and drug repurposing2024 · 1 citations
  3. 3Multiomics-guided ex vivo drug sensitivity testing in Relapsed/Refractory Acute Myeloid Leukemia2025
  4. 4Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia2024 · 21 citations
  5. 5Integrative Genomic and Immune Profiling to Identify and Characterize High-Risk Subgroups in Acute Myeloid Leukemia: Development of a 20-Gene Predictive Signature and Its Clinical Implications.2025 · 2 citations