Evidence map›Paper›PMID 41132974›Full record

ArticleTranslational lung cancer research2025

Osimertinib resistance-based immune prognostic related gene signature in EGFR mutant lung adenocarcinoma, in which PSMD11 promotes tumor progression.

Yuquan Bai, He Xu, Peilong Bao, Yang Gao, Jingwei Sun, Yang Shen, Jinbo Zhao, Tao Jiang

Abstract read
In one paragraph

Article in Translational lung cancer research, 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
–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

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

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

8 authors.

Yuquan BaiDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
He XuDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Peilong BaoDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yang GaoDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Jingwei SunDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yang ShenDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Jinbo ZhaoDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Tao JiangDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: At present, epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) treatment, as the first-line treatment of lung adenocarcinoma (LUAD) with EGFR mutation, has achieved good clinical efficacy, but most patients will eventually develop acquired resistance. The objective of this study is to accurately identify drug-resistant LUAD patients who can benefit from other treatments by constructing a predictive model for EGFR-TKIs resistance. Methods: Based on the differentially expressed genes (DEGs) between osimertinib (OSI)-resistant cells (PC9OR, H1975OR) and OSI-sensitive LUAD cells (PC9, H1975), the EGFR mutant LUAD prognosis-related genes from The Cancer Genome Atlas (TCGA), and the immune genes from ImmPort and InnateDB websites, we constructed an immune prognosis model of OSI resistance to predict the outcome of EGFR mutant LUAD patients. Then, according to the risk score, EGFR mutant LUAD patients were divided into high- and low-risk groups, and the molecular, immune characteristics, and responsiveness to chemotherapy and targeted drugs were analyzed. Next, PSMD11 was knocked down using small interfering RNA (siRNA) to evaluate the effects of PSMD11 on PC9OR and H1975OR cells. Finally, the correlation between PSMD11 and OSI resistance was determined Results: We constructed an immune prognostic prediction model consisting of four OSI-resistant genes ( Conclusions: This signature has a high predictive effect on the prognosis of OSI-resistant LUAD patients, and can be used as a powerful predictive tool for further selection of chemotherapy and immunotherapy in OSI-resistant LUAD patients.

Indexed as

epidermal growth factor receptor mutation (EGFR mutation)immune infiltrationlung adenocarcinoma (LUAD)osimertinib resistance (OSI resistance)PSMD11

Identifiers

PMID41132974
PMCPMC12541842

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.