Evidence map›Paper›PMID 38472205›Full record

ArticleCell death discovery2024

NEAT1_1 confers gefitinib resistance in lung adenocarcinoma through promoting AKR1C1-mediated ferroptosis defence.

Shuman Zhen, Yunlong Jia, Yan Zhao, Jiali Wang, Boyang Zheng, Tianxu Liu, Yuqing Duan, Wei Lv, Jiaqi Wang, Fan Xu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

26 citing papers in PubMed, 33 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Shuman Zhen *Department of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Yunlong Jia *Department of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Yan Zhao *Department of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Jiali WangDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Boyang ZhengDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Tianxu LiuDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Yuqing DuanDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Wei LvDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Jiaqi WangDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Fan XuDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China.
Yueping LiuDepartment of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050017, China.ORCID http://orcid.org/0000-0002-4582-114X
Yi ZhangBiotherapy Center, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.ORCID http://orcid.org/0000-0001-9861-4681
Lihua LiuDepartment of Tumor Immunotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050035, China. cdlihualiu@aliyun.com.ORCID http://orcid.org/0000-0002-1201-4624
Hebei Medical University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81871894National Natural Science Foundation of China (National Science Foundation of China) 82203079
6 · The paper itself

Abstract

Gefitinib is one of the most extensively utilized epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) for treating advanced lung adenocarcinoma (LUAD) patients harboring EGFR mutation. However, the emergence of drug resistance significantly compromised the clinical efficacy of EGFR-TKIs. Gaining further insights into the molecular mechanisms underlying gefitinib resistance holds promise for developing novel strategies to overcome the resistance and improve the prognosis in LUAD patients. Here, we identified that the inhibitory efficacy of gefitinib on EGFR-mutated LUAD cells was partially dependent on the induction of ferroptosis, and ferroptosis protection resulted in gefitinib resistance. Among the ferroptosis suppressors, aldo-keto reductase family 1 member C1 (AKR1C1) exhibited significant upregulation in gefitinib-resistant strains of LUAD cells and predicted poor progression-free survival (PFS) and overall survival (OS) of LUAD patients who received first-generation EGFR-TKI treatment. Knockdown of AKR1C1 partially reversed drug resistance by re-sensitizing the LUAD cells to gefitinib-mediated ferroptosis. The decreased expression of miR-338-3p contributed to the aberrant upregulation of AKR1C1 in gefitinib-resistant LUAD cells. Furthermore, upregulated long non-coding RNA (lncRNA) nuclear paraspeckle assembly transcript 1_1 (NEAT1_1) sponged miR-338-3p to neutralize its suppression on AKR1C1. Dual-luciferase reporter assay and miRNA rescue experiment confirmed the NEAT1_1/miR-338-3p/AKR1C1 axis in EGFR-mutated LUAD cells. Gain- and loss-of-function assays demonstrated that the NEAT1_1/miR-338-3p/AKR1C1 axis promoted gefitinib resistance, proliferation, migration, and invasion in LUAD cells. This study reveals the effects of NEAT1_1/miR-338-3p/AKR1C1 axis-mediated ferroptosis defence in gefitinib resistance in LUAD. Thus, targeting NEAT1_1/miR-338-3p/AKR1C1 axis might be a novel strategy for overcoming gefitinib resistance in LUAD harboring EGFR mutation.

Identifiers

PMID38472205
PMCPMC10933475
OpenAlexW4392684026

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Registered trials

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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.