Very Long Chain Fatty Acid Synthesis is a Targetable Dependency in RAS Pathway Mutant Leukemia

Abstract Oncogenic RAS pathway mutations are associated with therapeutic resistance in acute myeloid leukemia, and identification of therapeutic vulnerabilities has been hindered by a lack of clinically relevant models and tractable ex vivo platforms. We utilize a bone marrow endothelial cell co-culture system to perform CRISPR screens on wild-type hematopoietic cells and isogenic leukemias with and without mutant Nras. We credentialed Elovl1, a very long chain fatty acid elongase, as a dependency in RAS pathway mutant leukemia using genetic and pharmacologic approaches. Metabolic and genetic studies in primary leukemias revealed that the fitness defect from Elovl1 loss reflects a mutant-specific dependency on de novo sphingolipid biosynthesis, specifically sphingomyelin production, as Sgms1 deletion phenocopies Elovl1 loss. Sphingomyelin-mediated generation of lipid rafts, key scaffolds for multiple signaling pathways, is essential to the survival of Nras-mutant AML cells. Our work leverages a new leukemia model to identify a targetable dependency in this treatment-refractory leukemia.

Authors

Institutions

Publication Details

Journal
Blood Cancer Discovery
Published
2026-09-30
DOI
https://doi.org/10.1158/2643-3230.bcd-26-0274
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Very Long Chain Fatty Acid Synthesis is a Targetable Dependency in RAS Pathway Mutant Leukemia

Tak W. Mak, Elisa de Stanchina, Justin R. Cross, Rebecca G. Gelfer et al.
Blood Cancer Discovery
Acute Myeloid Leukemia Research
article

Very Long Chain Fatty Acid Synthesis is a Targetable Dependency in RAS Pathway Mutant Leukemia

Tak W. Mak, Elisa de Stanchina, Justin R. Cross, Rebecca G. Gelfer, B. Bishal Paudel, Ross L. Levine, Shoron Mowla, Su‐Fern Tan, Todd E. Fox, Michael R. Waarts, Mara Monetti, Matthew G. Wereski, Wenbin Xiao, Merve Şahin, Zhuoning Li, Richard P. Koche, Kaitlyn H. Ko, Angélica C. Romero‐Vega, Christopher A. Famulare, David J. Feith, Michelle Saoi, Sheng F. Cai, Iannis Aifantis, Xiaodi Wu, Maria Sirenko, Maya Bagish, Kevin Yanjun Chen, Clementina Strozek, Madhuri Madavaram, Gabriel San Miguel-Matos, Nathaniel B. Long
article en

Abstract

Abstract Oncogenic RAS pathway mutations are associated with therapeutic resistance in acute myeloid leukemia, and identification of therapeutic vulnerabilities has been hindered by a lack of clinically relevant models and tractable ex vivo platforms. We utilize a bone marrow endothelial cell co-culture system to perform CRISPR screens on wild-type hematopoietic cells and isogenic leukemias with and without mutant Nras. We credentialed Elovl1, a very long chain fatty acid elongase, as a dependency in RAS pathway mutant leukemia using genetic and pharmacologic approaches. Metabolic and genetic studies in primary leukemias revealed that the fitness defect from Elovl1 loss reflects a mutant-specific dependency on de novo sphingolipid biosynthesis, specifically sphingomyelin production, as Sgms1 deletion phenocopies Elovl1 loss. Sphingomyelin-mediated generation of lipid rafts, key scaffolds for multiple signaling pathways, is essential to the survival of Nras-mutant AML cells. Our work leverages a new leukemia model to identify a targetable dependency in this treatment-refractory leukemia.

Blood Cancer Discovery
University Health Network (CA), Memorial Sloan Kettering Cancer Center (US), NYU Langone Health (US), University of Virginia (US), New York University (US)
Good health and well-being
Openalex Percentile: Top 11%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.