ArticleCell reports. Medicine2024
Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia.
Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.Nature cancer · 2026Article
- Integrative transcriptomics defines CD36 as a key regulator of immunometabolic signaling in acute myeloid leukemia.Genes & genomics · 2026Article
- Proteogenomics: decoding cancer in multiple dimensions.MedScience · 2026Review
- Advancing Drug-Drug Interaction Prediction with Biomimetic Improvements: Leveraging the Latest Artificial Intelligence Techniques to Guide Researchers in the Field.Biomimetics (Basel, Switzerland) · 2026Review
- Single cell Raman spectroscopic profiles predict treatment responses in patients withFrontiers in cell and developmental biology · 2026Article
- Article
- Integrated analysis of post-transcriptional regulations reveals insights into acute myeloid leukemia.Communications biology · 2025Article
- NFE2 Truncation Mutants Protect Wild-Type NFE2 from ITCH-Dependent Degradation.International journal of molecular sciences · 2025Article
- Article
- A Network-Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an OlinkClinical proteomics · 2025Article
- Cuproptosis-related gene ACAD8 inhibits the metastatic ability of colorectal cancer by inducing cuproptosis.Frontiers in immunology · 2025Article
- Acute Myeloid Leukemia in Older Patients: From New Biological Insights to Targeted Therapies.Current oncology (Toronto, Ont.) · 2024Review
- Proteomics in Acute Myeloid Leukemia: Current Applications in Precision Medicine and Targeted Immunotherapy.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
21 authors at 2 institutions in 1 country.
Funding
Abstract
Acute myeloid leukemia is a poor-prognosis cancer commonly stratified by genetic aberrations, but these mutations are often heterogeneous and fail to consistently predict therapeutic response. Here, we combine transcriptomic, proteomic, and phosphoproteomic datasets with ex vivo drug sensitivity data to help understand the underlying pathophysiology of AML beyond mutations. We measure the proteome and phosphoproteome of 210 patients and combine them with genomic and transcriptomic measurements to identify four proteogenomic subtypes that complement existing genetic subtypes. We build a predictor to classify samples into subtypes and map them to a "landscape" that identifies specific drug response patterns. We then build a drug response prediction model to identify drugs that target distinct subtypes and validate our findings on cell lines representing various stages of quizartinib resistance. Our results show how multiomics data together with drug sensitivity data can inform therapy stratification and drug combinations in AML.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.