Evidence map›Paper›PMID 39773749›Full record

ArticleExperimental hematology & oncology2025

A cohort-based multi-omics identifies nuclear translocation of eIF5B /PD-L1/CD44 complex as the target to overcome Osimertinib resistance of ARID1A-deficient lung adenocarcinoma.

Dantong Sun, Helei Hou, Feiyue Feng, Weizheng Wu, Jingyu Tan, Tongji Xie, Jiayu Liu, Jinsong Wang, Haili Qian, Junling Li and 1 more

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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

11 authors.

Dantong Sun *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Helei Hou *Department of Oncology, The Affiliated Hospital of Qingdao University, No. 7 Jiaxing Road, Qingdao, 266000, Shandong, China.
Feiyue Feng *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Weizheng WuState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jingyu TanState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Tongji XieDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jiayu LiuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jinsong WangState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Haili QianState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. qianhaili001@163.com.
Junling LiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lijunling@cicams.ac.cn.
Puyuan XingDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. xingpuyuan@cicams.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsimertinib has emerged as a critical element in the treatment landscape following recent clinical trials. Further investigation into the mechanisms driving resistance to Osimertinib is necessary to address the restricted treatment options and survival advantages that are compromised by resistance in patients with EGFR-mutated lung adenocarcinoma (LUAD).

methodsSpatial transcriptomic and proteomic analyses were utilized to investigate the mechanisms of Osimertinib resistance. Co-IP, MS, RNA-seq, ChIP-seq, RIP-seq, and ATAC-seq were performed in cell lines to further explore the mechanism. To validate the findings, in vitro and in vivo molecular experiments were conducted.

resultsWe found that the ARID1A deficiency results in resistance to Osimertinib by hindering programmed cell death through the EZH2/PTEN/E2F1 axis. This altered axis influences PD-L1 transcription through E2F1-mediated promoter activation and PD-L1 translation via the MDM2/eIF5B/PD-L1 axis. Subsequently, ARID1A deficiency results in increased expression of eIF5B and Importin-β1, promoting PD-L1 nuclear-translocation. The nuclear PD-L1 (nPD-L1) interacts with CD44, leading to nPD-L1 complex formation, activation of the RASGEF1A promoter, initiation of the Ras pathway, and contributing to Osimertinib resistance. Targeting the transcription, translation and nuclear-translocation of PD-L1 using lipid nanoparticles (LNPs) overcomes ARID1A deficiency-induced resistance.

conclusionARID1A deficiency promotes PD-L1 nuclear translocation and induces Osimertinib resistance.

Indexed as

ARID1ALung adenocarcinomaNuclear eIF5B/PD-L1/CD44 complexOsimertinibRas pathway

Identifiers

PMID39773749
PMCPMC11705878

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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.