Evidence map›Paper›PMID 41500153›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2026

On the interface of fatty acid metabolism: A crosstalk between fatty acid ω-hydroxylase CYP4F11 and fatty acid desaturase 2 in non-small cell lung cancer.

Huiting Jia, Simone Brixius-Anderko

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Article in Drug metabolism and disposition: the biological fate of chemicals, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Huiting JiaDepartment of Pharmaceutical Sciences, Center for Pharmacogenetics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania.
Simone Brixius-AnderkoDepartment of Pharmaceutical Sciences, Center for Pharmacogenetics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania. Electronic address: sib51@pitt.edu.

Funding

STUDIES ON FATTY ACID METABOLIZING CYTOCHROME P450 ENZYMESR35GM155319 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Simone Brixius-Anderko · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM155319
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer deaths worldwide with non-small cell lung cancer (NSCLC) as the predominant subtype. Drug resistance in patients with NSCLC often limits treatment effectiveness, underscoring the need for novel therapeutic targets. We have previously demonstrated that a knockdown of CYP4F11 attenuates the proliferation and migration of NCI-H460 cells. CYP4F11 is a fatty acid ω-hydroxylase and metabolizes arachidonic acid to the important lipid mediator 20-hydroxyeicosatetraenoic acid. However, the underlying mechanism of how CYP4F11 promotes cancer progression is unknown. Here, we first confirmed that a genetic ablation of CYP4F11 reduces cell proliferation and migration in an additional NSCLC cell line. Conversely, CYP4F11 overexpression markedly enhanced proliferation and migration in both cell models, underlining the relevance of CYP4F11 as a putative drug target. To further examine the impact of CYP4F11, transcriptomic profiling was conducted comparing CYP4F11 knockdown and control cells. Most intriguingly, fatty acid desaturase 2 (FADS2), a key enzyme in arachidonic acid biosynthesis, was one of the most significantly downregulated genes. Further validation confirmed a significant downregulation of FADS2 at both mRNA and protein levels in CYP4F11 knockdown cells, while a CYP4F11 overexpression triggered its expression. This suggests a regulatory mechanism between CYP4F11 and FADS2 through the joint metabolite arachidonic acid. Collectively, our studies identify CYP4F11 as a promoter of NSCLC cell proliferation and migration and establish a crosstalk between CYP4F11 and FADS2. This work provides new mechanistic insights into lipid metabolism-driven oncogenesis and highlights CYP4F11 as a promising therapeutic target for NSCLC. SIGNIFICANCE STATEMENT: CYP4F11 promotes non-small cell lung cancer progression by driving cell proliferation and migration, as evidenced by both loss-of-function and gain-of-function assays. Importantly, we for the first time identified a positive association between CYP4F11 and fatty acid desaturase 2, uncovering a previously unrecognized tumorigenic mechanism at the cancer-lipid metabolism interface that provides new opportunities for targeted intervention.

Indexed as

Carcinoma, Non-Small-Cell LungCytochrome P450 Family 4Fatty Acid DesaturasesFatty AcidsLung NeoplasmsArachidonic AcidCell Line, TumorCell ProliferationCytochrome P-450 CYP4AGene Expression Regulation, NeoplasticHEK293 CellsHydroxyeicosatetraenoic AcidsArachidonic AcidCYP4F11 protein, humanCytochrome P-450 CYP4ACytochrome P450 Family 4FADS2 protein, humanFatty Acid DesaturasesFatty AcidsHydroxyeicosatetraenoic AcidsArachidonic acidCYP4F11Cytochrome P450FADS2Fatty acid metabolismNon–small cell lung cancer

Identifiers

PMID41500153
PMCPMC12879313

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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.