Evidence map›Paper›PMID 41417249›Full record

ArticleCell biology and toxicology2025

Exosomal proteomics reveals fatty acid metabolism linked to gefitinib resistance in non-small cell lung cancer.

Yuanyuan Zhang, Wenjie Zhu, Jiang Zhu, Rui Hu, Yunhuang Yang

Abstract read
In one paragraph

Article in Cell biology and toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuanyuan ZhangState Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - College of Life Science and Technology, Huazhong University of Science and Technology, West No.30 Xiao Hong Shan, Wuhan, 430074, China.
Wenjie ZhuState Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - College of Life Science and Technology, Huazhong University of Science and Technology, West No.30 Xiao Hong Shan, Wuhan, 430074, China.
Jiang ZhuState Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - College of Life Science and Technology, Huazhong University of Science and Technology, West No.30 Xiao Hong Shan, Wuhan, 430074, China.
Rui HuState Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - College of Life Science and Technology, Huazhong University of Science and Technology, West No.30 Xiao Hong Shan, Wuhan, 430074, China. hurui@apm.ac.cn.
Yunhuang YangState Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - College of Life Science and Technology, Huazhong University of Science and Technology, West No.30 Xiao Hong Shan, Wuhan, 430074, China. yang_yh@apm.ac.cn.

Funding

National Natural Science Foundation of China 22374155Strategic Priority Research Program of the Chinese Academy of Sciences XDB0540000Yalong River Joint Fund 22327901
6 · The paper itself

Abstract

Exosomes play a crucial role in the transmission of drug resistance in tumors. However, the mechanism of exosomes-mediated transmission in non-small cell lung cancer (NSCLC) under gefitinib treatment remains limited. In this work, we demonstrated that exosomes derived from HCC827/GR cells (drug-resistant) enhanced the survivability of HCC827 cells (drug-sensitive) under treatment with gefitinib. A total of 157 shared upregulated proteins between exosomes and their parent cells were identified in the comparison of the gefitinib-resistant groups versus the gefitinib-sensitive groups. Notably, 69 of these shared proteins are enzymes, and many of them were enriched in pathways related to fatty acid metabolism. Among these enzymes involved in fatty acid metabolism, ACC1 exhibited the highest fold change in upregulated expression in both drug-resistant groups (exosomes and cells). Moreover, the expression of ACC1 was upregulated in gefitinib-sensitive cells after uptake of exosomes from gefitinib-resistant cells. The role of ACC1 in enhancing the survival of HCC827/GR cells under gefitinib treatment was demonstrated using an inhibitor and siRNA-mediated knockdown. Specifically, the upregulated ACC1 stabilized fatty acid oxidation and reactive oxygen species levels in HCC827/GR cells, thereby maintaining cellular metabolic homeostasis. Collectively, this work reveals the transmission of drug resistance in NSCLC via exosomes that carry the ACC1 protein.

Indexed as

Carcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmExosomesFatty AcidsGefitinibLung NeoplasmsProteomicsAcetyl-CoA CarboxylaseAntineoplastic AgentsCell Line, TumorCell SurvivalHumansReactive Oxygen SpeciesUp-RegulationACACA protein, humanAcetyl-CoA CarboxylaseAntineoplastic AgentsFatty AcidsGefitinibReactive Oxygen SpeciesExosomesFatty acid metabolismGefitinib resistanceNSCLCProteomics

Identifiers

PMID41417249
PMCPMC12717232

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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.